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    <citation>
      <titlStmt>
        <titl>
          Third General Census of Population and Housing 2005 - IPUMS Subset
        </titl>
        <IDNo>
          CMR-INS-RGPH-IPUMS-2005-v6.4
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
        <othId affiliation="Minnesota Population Center">
          <p>
            Integrated Public Use Microdata Series (IPUMS) International
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MPC" affiliation="University of Minnesota" role="Integration Harmonization Documentation">
          Minnesota Population Center
        </producer>
        <producer abbr="INS" affiliation="MINEPAT" role="Diffusion sur ANADOC">
          Institut National de la Statistique
        </producer>
        <prodDate date="2015-07-22">
          2015-07-22
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="OECD/DCD-PARIS21" role="Project funder">
          Organization for Economic Co-operation and Development, Development Co-operation Directorate
        </fundAg>
        <grantNo>
          JADE#:60525;MEHLB(2010)12
        </grantNo>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 6.4 avant la diffusion sur ANADOC (cette version a été téléchargée sur le site http://catalog.ihsn.org/index.php/catalog/3552 pour la diffusion sur ANADOC) , Version 6.3. Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.

The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.]]>
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    <citation>
      <titlStmt>
        <titl>
          Third General Census of Population and Housing 2005 - IPUMS Subset
        </titl>
        <altTitl>
          PHC 2005 (IPUMS Harmonized Subset)
        </altTitl>
        <IDNo>
          CMR-2005-PHC-v01-M-v6.3-A-IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Bureau Central des Recensements et des Études de Population
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer affiliation="University of Minnesota" role="Harmonization of datasets">
          Minnesota Population Center
        </producer>
        <copyright>
          (c) Copyright 2005, Bureau Central des Recensements et des Études de Population and Minnesota Population Center
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact>
          Bureau Central des Recensements et des Études de Population
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Recensement de la population et du logement [hh/popcen]
        </serName>
      </serStmt>
      <verStmt>
        <version date="2014-08-08">
          Version 6.3. This version contains selected variables from the original census micro data plus harmonized variables from the IPUMS International database.
        </version>
        <notes>
          In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described &lt;a href='https://international.ipums.org/international/geography_variables.shtml'&gt;here&lt;/a&gt;. Further explanation of the new geographic variables and the GIS boundary files is available &lt;a href='https://international.ipums.org/international/geography_gis.shtml'&gt;here&lt;/a&gt;.
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="IPUMS">
          Technical Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Group Quarters Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Economic Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Utilities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Dwelling Characteristics Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Other Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Technical Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Family Interrelationship Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Demographic Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fertility and Mortality Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Nativity and Birthplace Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Ethnicity and Language Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Education Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Migration Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Disability Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Other Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Occupation Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Industry Variables -- PERSON
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.]]>
      </abstract>
      <sumDscr>
        <timePrd date="2005-11-11" event="start"/>
        <timePrd date="2005-11-11" event="end"/>
        <collDate date="2005-11-11" event="start"/>
        <collDate date="2005-11-11" event="end"/>
        <nation abbr="CMR">
          Cameroon
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <geogUnit>
          Arrondissement
        </geogUnit>
        <anlyUnit>
          Household
        </anlyUnit>
        <universe>
          All persons present in Cameroon at the time of the census, including visitors from other countries.
        </universe>
        <dataKind>
          Données de recensesement / énumération [cen]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: Homeless; nomads

UNIT DESCRIPTIONS:
- Households: A standard household is a person or a group of people related or not, living in the same housing unit, often taking their meals together and working together on the other essential needs.  This group generally recognizes the authority of one person who is called the Head of Household.
- Group quarters: This is a group of people, who for non-family reasons which are mainly related to profession, health, school, denomination, or detention, live together in a specialized establishment or institution like a workers camp, military barracks, dormitories, a hospital with rooms, a convent, an orphanage, a prison.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          <![CDATA[MICRODATA SOURCE: Central Bureau of Census and Population Studies

SAMPLE DESIGN: Systematic sample of every 10th dwelling with a random start, drawn by MPC

SAMPLE FRACTION: 10%

SAMPLE UNIVERSE: Systematic sample of every 10th dwelling with a random start, drawn by MPC

SAMPLE SIZE (person records): 1,772,359]]>
        </sampProc>
        <collMode>
          Interview face à face [f2f]
        </collMode>
        <resInstru>
          Four forms: Standard household questionnaire, communal household questionnaire, nomad questionnaire, and homeless questionnaire
        </resInstru>
        <sources/>
        <collSitu>
          De jure and de facto, CENSUS DAY: November 11, 2005
        </collSitu>
        <actMin>
          Direct interview
        </actMin>
        <weight>
          Self-weighting (expansion factor=10)
        </weight>
      </dataColl>
      <anlyInfo>
        <respRate>
          UNDERCOUNT: No available estimate
        </respRate>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.

To gain access to the data, a researcher must agree to the following:

(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.

(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.

(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.

(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.

Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.

These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.

IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
  
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.

(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.

(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)

(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.

The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.]]>
        </confDec>
        <contact affiliation="Minnesota Population Center" URI="http://international.ipums.org">
          IPUMS International
        </contact>
        <citReq>
          <![CDATA[Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.3 [Machine-readable database]. Minneapolis: University of Minnesota, 2014.

Researchers should also acknowledge the statistical agency that originally produced the data:
Cameroon, Bureau Central des Recensements et des Études de Population, Third General Census of Population and Housing

The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.

Copies of such materials are also gratefully received at ipums@umn.edu.

Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455]]>
        </citReq>
        <conditions>
          <![CDATA[An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions:
  
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.  To gain access to the data, a researcher must agree to the following:

(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.

(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.

(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.

(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.

Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.

These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
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        <![CDATA[RECTYPE identifies the type of record for the case: household or person.  

NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records.  RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system.  It is only available in hierarchical extracts, to distinguish between the two record types.]]>
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        <![CDATA[RECTYPE is a 1-digit alphabetic (non-numeric) variable.

		
H = Household record
P = Person record]]>
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        Technical Variables -- HOUSEHOLD
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        <![CDATA[CNTRY gives the country from which the sample was drawn.  The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).]]>
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          Ghana
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          Greece
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        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="YEAR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="5" EndPos="8" width="4" RecSegNo="1"/>
      <labl>
        Year
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="2011"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        YEAR gives the year in which the census was taken.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="SAMPLE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="12" width="4" RecSegNo="1"/>
      <labl>
        IPUMS sample identifier
      </labl>
      <valrng>
        <range UNITS="REAL" min="321" max="8943"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLE identifies the IPUMS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first 3 digits are the ISO/UN codes used in CNTRY, and the last digit identifies the sample within the country ordered by census year.]]>
      </txt>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Argentina 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Argentina 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Argentina 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Argentina 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Argentina 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Austria 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Austria 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Austria 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Austria 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Bangladesh 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Bangladesh 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Armenia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Bolivia 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Bolivia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          683
        </catValu>
        <labl>
          Bolivia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          761
        </catValu>
        <labl>
          Brazil 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Brazil 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          763
        </catValu>
        <labl>
          Brazil 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Brazil 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          765
        </catValu>
        <labl>
          Brazil 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          766
        </catValu>
        <labl>
          Brazil 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1121
        </catValu>
        <labl>
          Belarus 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1241
        </catValu>
        <labl>
          Canada 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1242
        </catValu>
        <labl>
          Canada 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1243
        </catValu>
        <labl>
          Canada 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1244
        </catValu>
        <labl>
          Canada 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1521
        </catValu>
        <labl>
          Chile 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1522
        </catValu>
        <labl>
          Chile 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1523
        </catValu>
        <labl>
          Chile 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1524
        </catValu>
        <labl>
          Chile 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1525
        </catValu>
        <labl>
          Chile 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1561
        </catValu>
        <labl>
          China 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1562
        </catValu>
        <labl>
          China 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Colombia 1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Colombia 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Colombia 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Colombia 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Colombia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1881
        </catValu>
        <labl>
          Costa Rica 1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1882
        </catValu>
        <labl>
          Costa Rica 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1883
        </catValu>
        <labl>
          Costa Rica 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1884
        </catValu>
        <labl>
          Costa Rica 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Cuba 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          Dominican Republic 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2142
        </catValu>
        <labl>
          Dominican Republic 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2143
        </catValu>
        <labl>
          Dominican Republic 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2144
        </catValu>
        <labl>
          Dominican Republic 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2145
        </catValu>
        <labl>
          Dominican Republic 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2181
        </catValu>
        <labl>
          Ecuador 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2182
        </catValu>
        <labl>
          Ecuador 1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2183
        </catValu>
        <labl>
          Ecuador 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2184
        </catValu>
        <labl>
          Ecuador 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2185
        </catValu>
        <labl>
          Ecuador 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2186
        </catValu>
        <labl>
          Ecuador 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2221
        </catValu>
        <labl>
          El Salvador 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2222
        </catValu>
        <labl>
          El Salvador 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Fiji 1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Fiji 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Fiji 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Fiji 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2425
        </catValu>
        <labl>
          Fiji 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          France 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          France 1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          France 1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          France 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          France 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          France 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          France 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2751
        </catValu>
        <labl>
          Palestine 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2752
        </catValu>
        <labl>
          Palestine 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2761
        </catValu>
        <labl>
          Germany 1970 (West)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2762
        </catValu>
        <labl>
          Germany 1971 (East)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2763
        </catValu>
        <labl>
          Germany 1981 (East)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2764
        </catValu>
        <labl>
          Germany 1987 (West)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Greece 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Greece 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Greece 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Greece 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Haiti 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Haiti 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Haiti 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3481
        </catValu>
        <labl>
          Hungary 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3482
        </catValu>
        <labl>
          Hungary 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3483
        </catValu>
        <labl>
          Hungary 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3484
        </catValu>
        <labl>
          Hungary 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3565
        </catValu>
        <labl>
          India 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3601
        </catValu>
        <labl>
          Indonesia 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3602
        </catValu>
        <labl>
          Indonesia 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3603
        </catValu>
        <labl>
          Indonesia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3604
        </catValu>
        <labl>
          Indonesia 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3605
        </catValu>
        <labl>
          Indonesia 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3606
        </catValu>
        <labl>
          Indonesia 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3607
        </catValu>
        <labl>
          Indonesia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3608
        </catValu>
        <labl>
          Indonesia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3609
        </catValu>
        <labl>
          Indonesia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3641
        </catValu>
        <labl>
          Iran 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3681
        </catValu>
        <labl>
          Iraq 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3721
        </catValu>
        <labl>
          Ireland 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3722
        </catValu>
        <labl>
          Ireland 1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3723
        </catValu>
        <labl>
          Ireland 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3724
        </catValu>
        <labl>
          Ireland 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3725
        </catValu>
        <labl>
          Ireland 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3726
        </catValu>
        <labl>
          Ireland 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3727
        </catValu>
        <labl>
          Ireland 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3728
        </catValu>
        <labl>
          Ireland 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3729
        </catValu>
        <labl>
          Ireland 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3761
        </catValu>
        <labl>
          Israel 1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3762
        </catValu>
        <labl>
          Israel 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3763
        </catValu>
        <labl>
          Israel 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3801
        </catValu>
        <labl>
          Italy 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3881
        </catValu>
        <labl>
          Jamaica 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3882
        </catValu>
        <labl>
          Jamaica 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3883
        </catValu>
        <labl>
          Jamaica 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4001
        </catValu>
        <labl>
          Jordan 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4171
        </catValu>
        <labl>
          Kyrgyz Republic 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4172
        </catValu>
        <labl>
          Kyrgyz Republic 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Liberia 1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Liberia 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4581
        </catValu>
        <labl>
          Malaysia 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4582
        </catValu>
        <labl>
          Malaysia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4583
        </catValu>
        <labl>
          Malaysia 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4584
        </catValu>
        <labl>
          Malaysia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4841
        </catValu>
        <labl>
          Mexico 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4842
        </catValu>
        <labl>
          Mexico 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4843
        </catValu>
        <labl>
          Mexico 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4844
        </catValu>
        <labl>
          Mexico 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4845
        </catValu>
        <labl>
          Mexico 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4846
        </catValu>
        <labl>
          Mexico 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4847
        </catValu>
        <labl>
          Mexico 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4961
        </catValu>
        <labl>
          Mongolia 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4962
        </catValu>
        <labl>
          Mongolia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5281
        </catValu>
        <labl>
          Netherlands 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5282
        </catValu>
        <labl>
          Netherlands 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5283
        </catValu>
        <labl>
          Netherlands 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5581
        </catValu>
        <labl>
          Nicaragua 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5582
        </catValu>
        <labl>
          Nicaragua 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5583
        </catValu>
        <labl>
          Nicaragua 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5911
        </catValu>
        <labl>
          Panama 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5912
        </catValu>
        <labl>
          Panama 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5913
        </catValu>
        <labl>
          Panama 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5914
        </catValu>
        <labl>
          Panama 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5915
        </catValu>
        <labl>
          Panama 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5916
        </catValu>
        <labl>
          Panama 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6081
        </catValu>
        <labl>
          Philippines 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6082
        </catValu>
        <labl>
          Philippines 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6083
        </catValu>
        <labl>
          Philippines 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6201
        </catValu>
        <labl>
          Portugal 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6202
        </catValu>
        <labl>
          Portugal 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6203
        </catValu>
        <labl>
          Portugal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6301
        </catValu>
        <labl>
          Puerto Rico 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6302
        </catValu>
        <labl>
          Puerto Rico 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6303
        </catValu>
        <labl>
          Puerto Rico 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6304
        </catValu>
        <labl>
          Puerto Rico 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6305
        </catValu>
        <labl>
          Puerto Rico 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6421
        </catValu>
        <labl>
          Romania 1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6422
        </catValu>
        <labl>
          Romania 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6423
        </catValu>
        <labl>
          Romania 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6621
        </catValu>
        <labl>
          Saint Lucia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6622
        </catValu>
        <labl>
          Saint Lucia 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6941
        </catValu>
        <labl>
          Sierra Leone 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7041
        </catValu>
        <labl>
          Vietnam 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7042
        </catValu>
        <labl>
          Vietnam 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7043
        </catValu>
        <labl>
          Vietnam 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7051
        </catValu>
        <labl>
          Slovenia 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7102
        </catValu>
        <labl>
          South Africa 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7103
        </catValu>
        <labl>
          South Africa 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7241
        </catValu>
        <labl>
          Spain 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7242
        </catValu>
        <labl>
          Spain 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7243
        </catValu>
        <labl>
          Spain 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7281
        </catValu>
        <labl>
          South Sudan 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7561
        </catValu>
        <labl>
          Switzerland 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7562
        </catValu>
        <labl>
          Switzerland 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7563
        </catValu>
        <labl>
          Switzerland 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7564
        </catValu>
        <labl>
          Switzerland 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7641
        </catValu>
        <labl>
          Thailand 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7642
        </catValu>
        <labl>
          Thailand 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7643
        </catValu>
        <labl>
          Thailand 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7644
        </catValu>
        <labl>
          Thailand 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8041
        </catValu>
        <labl>
          Ukraine 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8261
        </catValu>
        <labl>
          United Kingdom 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8262
        </catValu>
        <labl>
          United Kingdom 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8401
        </catValu>
        <labl>
          United States 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8402
        </catValu>
        <labl>
          United States 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8403
        </catValu>
        <labl>
          United States 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8404
        </catValu>
        <labl>
          United States 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8405
        </catValu>
        <labl>
          United States 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8406
        </catValu>
        <labl>
          United States 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8407
        </catValu>
        <labl>
          United States 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8581
        </catValu>
        <labl>
          Uruguay 1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8582
        </catValu>
        <labl>
          Uruguay 1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8583
        </catValu>
        <labl>
          Uruguay 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8584
        </catValu>
        <labl>
          Uruguay 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8585
        </catValu>
        <labl>
          Uruguay 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8586
        </catValu>
        <labl>
          Uruguay 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8621
        </catValu>
        <labl>
          Venezuela 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8622
        </catValu>
        <labl>
          Venezuela 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8623
        </catValu>
        <labl>
          Venezuela 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8624
        </catValu>
        <labl>
          Venezuela 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2010
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="SERIAL" files="F1" dcml="0" intrvl="contin">
      <location StartPos="13" EndPos="22" width="10" RecSegNo="1"/>
      <labl>
        Household serial number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. 

SERIAL can be used to identify dwellings in some samples.  In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure.  The last three digits give the sequence of the household within the dwelling.  The following is a list of samples in which dwellings can be inferred:

Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989  


In all other samples, the last 3 digits are always zeroes.

SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.]]>
      </txt>
      <codInstr>
        <![CDATA[SERIAL is a 10-digit numeric variable.

The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.]]>
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="PERSONS" files="F1" dcml="0" intrvl="contin">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Number of person records in the household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
      </txt>
      <codInstr>
        PERSONS is a 3-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V7" name="WTHH" files="F1" dcml="2" intrvl="contin">
      <location StartPos="26" EndPos="33" width="8" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WTHH indicates the number of households in the population represented by the household in the sample.

For the samples that are truly weighted (see the comparability discussion), WTHH must be used to yield accurate household-level statistics.

NOTE: WTHH has 2 implied decimal places.  That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        WTHH is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="SUBSAMP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Subsample number
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          1st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          2nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          3rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          4th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          5th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          6th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          7th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          8th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          9th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          10th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          11th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          12th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          13th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          14th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          15th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          16th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          17th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          18th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          19th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          20th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          21st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          22nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          23rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          24th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          25th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          26th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          27th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          28th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          29th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          30th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          31st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          32nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          33rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          34th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          35th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          36th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          37th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          38th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          39th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          40th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          41st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          42nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          43rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          44th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          45th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          46th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          47th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          48th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          49th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          50th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          51st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          52nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          53rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          54th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          55th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          56th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          57th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          58th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          59th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          60th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          61st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          62nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          63rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          64th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          65th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          66th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          67th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          68th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          69th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          70th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          71st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          72nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          73rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          74th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          75th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          76th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          77th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          78th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          79th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          80th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          81st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          82nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          83rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          84th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          85th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          86th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          87th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          88th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          89th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          90th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          91st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          92nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          93rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          94th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          95th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          96th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          97th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          98th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          99th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          100th 1% subsample
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="GQ" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Group quarters status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.

Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.

Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Households
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Group quarters, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Other group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          1-person unit created by splitting large household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/group quarters not identified
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V10" name="UNREL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Number of unrelated persons
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        UNREL indicates the number of persons in the household who are unrelated to the head.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="URBAN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        URBAN indicates whether the household was located in a place designated as urban or as rural.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V12" name="REGIONW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Continent and region of country
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="54"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        REGIONW identifies the continent and region of each country.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Southern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="GEOLEV1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="47" width="6" RecSegNo="1"/>
      <labl>
        1st subnational geographic level, world [consistent boundaries over time]
      </labl>
      <valrng>
        <range UNITS="REAL" min="32002" max="894010"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOLEV1 indicates the major administrative unit in which the household was enumerated.  The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.]]>
      </txt>
      <catgry>
        <catValu>
          32002
        </catValu>
        <labl>
          City of Buenos Aires [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32006
        </catValu>
        <labl>
          Buenos Aires province [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Catamarca [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32014
        </catValu>
        <labl>
          Córdoba [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32018
        </catValu>
        <labl>
          Corrientes [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32022
        </catValu>
        <labl>
          Chaco [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32026
        </catValu>
        <labl>
          Chubut [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Entre Ríos [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32034
        </catValu>
        <labl>
          Formosa [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32038
        </catValu>
        <labl>
          Jujuy [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32042
        </catValu>
        <labl>
          La Pampa [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32046
        </catValu>
        <labl>
          La Rioja [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Mendoza [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32054
        </catValu>
        <labl>
          Misiones [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32058
        </catValu>
        <labl>
          Neuquén [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32062
        </catValu>
        <labl>
          Río Negro [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32066
        </catValu>
        <labl>
          Salta [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          San Juan [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32074
        </catValu>
        <labl>
          San Luis [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32078
        </catValu>
        <labl>
          Santa Cruz [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32082
        </catValu>
        <labl>
          Santa Fe [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32086
        </catValu>
        <labl>
          Santiago del Estero [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Tucumán [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32094
        </catValu>
        <labl>
          Tierra del Fuego [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32099
        </catValu>
        <labl>
          Unknown [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40011
        </catValu>
        <labl>
          Burgenland [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40012
        </catValu>
        <labl>
          Niederösterreich [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40013
        </catValu>
        <labl>
          Wien [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40021
        </catValu>
        <labl>
          Kärnten [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40022
        </catValu>
        <labl>
          Steiermark [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40031
        </catValu>
        <labl>
          Oberösterreich [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40032
        </catValu>
        <labl>
          Salzburg [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40033
        </catValu>
        <labl>
          Tirol [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40034
        </catValu>
        <labl>
          Vorarlberg [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50010
        </catValu>
        <labl>
          Barisal [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50020
        </catValu>
        <labl>
          Chittagong [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50030
        </catValu>
        <labl>
          Dhaka [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50040
        </catValu>
        <labl>
          Khulna [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50050
        </catValu>
        <labl>
          Rajshahi and Rangpur [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50060
        </catValu>
        <labl>
          Sylhet [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51001
        </catValu>
        <labl>
          Aragatsotn [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51002
        </catValu>
        <labl>
          Ararat [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51003
        </catValu>
        <labl>
          Armavir [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51004
        </catValu>
        <labl>
          Gegharkunik [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51005
        </catValu>
        <labl>
          Kotayk [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51006
        </catValu>
        <labl>
          Lori [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51007
        </catValu>
        <labl>
          Shirak [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51008
        </catValu>
        <labl>
          Syunik [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51009
        </catValu>
        <labl>
          Tavush [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Yoyots Dzor [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51011
        </catValu>
        <labl>
          Yerevan [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68001
        </catValu>
        <labl>
          Chuquisaca [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68002
        </catValu>
        <labl>
          La Paz [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68003
        </catValu>
        <labl>
          Cochabamba [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68004
        </catValu>
        <labl>
          Oruro [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68005
        </catValu>
        <labl>
          Potosí [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68006
        </catValu>
        <labl>
          Tarija [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68007
        </catValu>
        <labl>
          Santa Cruz [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68008
        </catValu>
        <labl>
          Beni [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68009
        </catValu>
        <labl>
          Pando [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76011
        </catValu>
        <labl>
          Rondônia [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76012
        </catValu>
        <labl>
          Acre [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76013
        </catValu>
        <labl>
          Amazonas [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76014
        </catValu>
        <labl>
          Roraima [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76015
        </catValu>
        <labl>
          Pará [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76016
        </catValu>
        <labl>
          Amapá [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76021
        </catValu>
        <labl>
          Maranhão [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76022
        </catValu>
        <labl>
          Piauí [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76023
        </catValu>
        <labl>
          Ceará [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76024
        </catValu>
        <labl>
          Rio Grande do Norte [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76025
        </catValu>
        <labl>
          Paraíba [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76026
        </catValu>
        <labl>
          Pernambuco [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76027
        </catValu>
        <labl>
          Alagoas [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76028
        </catValu>
        <labl>
          Sergipe [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76029
        </catValu>
        <labl>
          Bahia [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76031
        </catValu>
        <labl>
          Minas Gerais [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76032
        </catValu>
        <labl>
          Espírito Santo [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76033
        </catValu>
        <labl>
          Rio de Janeiro [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76035
        </catValu>
        <labl>
          São Paulo [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76041
        </catValu>
        <labl>
          Paraná [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76042
        </catValu>
        <labl>
          Santa Catarina [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76043
        </catValu>
        <labl>
          Rio Grande do Sul [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76051
        </catValu>
        <labl>
          Mato Grosso and Mato Grosso do Sul [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76052
        </catValu>
        <labl>
          Goiás and Tocantins [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76053
        </catValu>
        <labl>
          Distrito Federal [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112001
        </catValu>
        <labl>
          Brest [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112002
        </catValu>
        <labl>
          Vitebsk [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112003
        </catValu>
        <labl>
          Gomel [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112004
        </catValu>
        <labl>
          Grodno [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112006
        </catValu>
        <labl>
          Minsk [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112007
        </catValu>
        <labl>
          Mogilev [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116001
        </catValu>
        <labl>
          Banteay Mean Chey [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116002
        </catValu>
        <labl>
          Bat Dambang [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116003
        </catValu>
        <labl>
          Kampong Cham [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116004
        </catValu>
        <labl>
          Kampong Chhnang [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116005
        </catValu>
        <labl>
          Kampong Spueu [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116006
        </catValu>
        <labl>
          Kampong Thum [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116007
        </catValu>
        <labl>
          Kampot [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116008
        </catValu>
        <labl>
          Kandal [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116009
        </catValu>
        <labl>
          Kaoh Kong [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116010
        </catValu>
        <labl>
          Kracheh [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116011
        </catValu>
        <labl>
          Mondol Kiri [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116012
        </catValu>
        <labl>
          Phnom Penh [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116013
        </catValu>
        <labl>
          Preah Vihear [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116014
        </catValu>
        <labl>
          Prey Veaeng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116015
        </catValu>
        <labl>
          Pousat [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116016
        </catValu>
        <labl>
          Rotanak Kiri [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116017
        </catValu>
        <labl>
          Siem Reab [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116018
        </catValu>
        <labl>
          Krong Preah Sihanouk [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116019
        </catValu>
        <labl>
          Stueng Traeng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116020
        </catValu>
        <labl>
          Svay Rieng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116021
        </catValu>
        <labl>
          Takaev [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116022
        </catValu>
        <labl>
          Otdar Mean Chey [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116023
        </catValu>
        <labl>
          Krong Kaeb [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116024
        </catValu>
        <labl>
          Krong Pailin [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120002
        </catValu>
        <labl>
          Centre and Sud [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120003
        </catValu>
        <labl>
          Est [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120004
        </catValu>
        <labl>
          Nord, Adamoua , and Extrème Nord [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120005
        </catValu>
        <labl>
          Littoral [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120007
        </catValu>
        <labl>
          Nord Ouest [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120008
        </catValu>
        <labl>
          Ouest [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120010
        </catValu>
        <labl>
          Sud Ouest [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124010
        </catValu>
        <labl>
          Newfoundland and Labrador [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124011
        </catValu>
        <labl>
          Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124012
        </catValu>
        <labl>
          Nova Scotia [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124013
        </catValu>
        <labl>
          New Brunswick [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124024
        </catValu>
        <labl>
          Quebec [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124035
        </catValu>
        <labl>
          Ontario [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124046
        </catValu>
        <labl>
          Manitoba [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124047
        </catValu>
        <labl>
          Saskatchewan [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124048
        </catValu>
        <labl>
          Alberta [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124059
        </catValu>
        <labl>
          British Columbia [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152002
        </catValu>
        <labl>
          Antofagasta and Tarapacá [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152004
        </catValu>
        <labl>
          Atacama and Coquimbo [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152007
        </catValu>
        <labl>
          Del Maule [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152008
        </catValu>
        <labl>
          Del Biobio [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152009
        </catValu>
        <labl>
          La Araucanía [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152010
        </catValu>
        <labl>
          Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152012
        </catValu>
        <labl>
          Magallanes and La Antártica Chilena [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152013
        </catValu>
        <labl>
          Libertador General Bernardo O"Higgins (La Alameda), Metropolitana de Santiago, and Valparaiso [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152099
        </catValu>
        <labl>
          Unknown [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156011
        </catValu>
        <labl>
          Beijing (municipality) [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156012
        </catValu>
        <labl>
          Tianjin (municipality) [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156013
        </catValu>
        <labl>
          Hebei [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156014
        </catValu>
        <labl>
          Shanxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156015
        </catValu>
        <labl>
          Inner Mongolia [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156021
        </catValu>
        <labl>
          Liaoning [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156022
        </catValu>
        <labl>
          Jilin [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156023
        </catValu>
        <labl>
          Heilongjiang [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156031
        </catValu>
        <labl>
          Shanghai (municipality) [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156032
        </catValu>
        <labl>
          Jiangsu [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156033
        </catValu>
        <labl>
          Zhejiang [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156034
        </catValu>
        <labl>
          Anhui [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156035
        </catValu>
        <labl>
          Fujian [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156036
        </catValu>
        <labl>
          Jiangxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156037
        </catValu>
        <labl>
          Shangdong [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156041
        </catValu>
        <labl>
          Henan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156042
        </catValu>
        <labl>
          Hubei [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156043
        </catValu>
        <labl>
          Hunan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156044
        </catValu>
        <labl>
          Guangdong and Hainan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156045
        </catValu>
        <labl>
          Guangxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156051
        </catValu>
        <labl>
          Sichuan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156052
        </catValu>
        <labl>
          Guizhou [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156053
        </catValu>
        <labl>
          Yunnan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156054
        </catValu>
        <labl>
          Tibet [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156061
        </catValu>
        <labl>
          Shaanxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156062
        </catValu>
        <labl>
          Gansu [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156063
        </catValu>
        <labl>
          Qinghai [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156064
        </catValu>
        <labl>
          Ningxia [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156065
        </catValu>
        <labl>
          Xinjiang [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170005
        </catValu>
        <labl>
          Antioquia [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170008
        </catValu>
        <labl>
          Atlántico [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170011
        </catValu>
        <labl>
          Bogotá [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170013
        </catValu>
        <labl>
          Bolivar and Sucre [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170015
        </catValu>
        <labl>
          Boyacá and Casanare [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170018
        </catValu>
        <labl>
          Caquetá [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170019
        </catValu>
        <labl>
          Cauca [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170023
        </catValu>
        <labl>
          Cordoba [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170025
        </catValu>
        <labl>
          Cundinamarca [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170027
        </catValu>
        <labl>
          Chocó [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170041
        </catValu>
        <labl>
          Huila [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170044
        </catValu>
        <labl>
          La Guajira [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170047
        </catValu>
        <labl>
          Cesar and Magdalena [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170050
        </catValu>
        <labl>
          Meta and Vichada [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170052
        </catValu>
        <labl>
          Nariño [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170054
        </catValu>
        <labl>
          Norte Santander [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170066
        </catValu>
        <labl>
          Caldas, Quindio, and Risaralda [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170068
        </catValu>
        <labl>
          Santander [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170073
        </catValu>
        <labl>
          Tolima [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170076
        </catValu>
        <labl>
          Valle [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170081
        </catValu>
        <labl>
          Arauca [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170086
        </catValu>
        <labl>
          Putumayo [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170088
        </catValu>
        <labl>
          San Andrés [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170091
        </catValu>
        <labl>
          Amazonas [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170095
        </catValu>
        <labl>
          Guaviare, Vaupes, and Guaina [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188001
        </catValu>
        <labl>
          San José [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188002
        </catValu>
        <labl>
          Alajuela [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188003
        </catValu>
        <labl>
          Cartago [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188004
        </catValu>
        <labl>
          Heredia [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188005
        </catValu>
        <labl>
          Guanacaste [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188006
        </catValu>
        <labl>
          Puntarenas [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188007
        </catValu>
        <labl>
          Limón [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192001
        </catValu>
        <labl>
          Pinar del Rio [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192002
        </catValu>
        <labl>
          La Habana [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192003
        </catValu>
        <labl>
          Ciudad de la Habana [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192004
        </catValu>
        <labl>
          Matanzas [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192005
        </catValu>
        <labl>
          Villa Clara [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192006
        </catValu>
        <labl>
          Cienfuegos [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192007
        </catValu>
        <labl>
          Sancti Spiritus [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192008
        </catValu>
        <labl>
          Ciego de Avila [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192009
        </catValu>
        <labl>
          Camaguey [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192010
        </catValu>
        <labl>
          Las Tunas [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192011
        </catValu>
        <labl>
          Holguin [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192012
        </catValu>
        <labl>
          Granma [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192013
        </catValu>
        <labl>
          Santiago de Cuba [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192014
        </catValu>
        <labl>
          Guantanamo [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192099
        </catValu>
        <labl>
          Isla de la Juventud [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214001
        </catValu>
        <labl>
          Federal district and Santo Domingo [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214002
        </catValu>
        <labl>
          Azua [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214003
        </catValu>
        <labl>
          Baoruco [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214004
        </catValu>
        <labl>
          Barahona [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214005
        </catValu>
        <labl>
          Dajabón [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214006
        </catValu>
        <labl>
          Duarte [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214007
        </catValu>
        <labl>
          Elías Piña [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214008
        </catValu>
        <labl>
          El Seibo and Hato Mayor [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214009
        </catValu>
        <labl>
          Espaillat [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214010
        </catValu>
        <labl>
          Independencia [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214011
        </catValu>
        <labl>
          La Altagracia and La Romana [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214013
        </catValu>
        <labl>
          La Vega and Monseñor Nouel [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214014
        </catValu>
        <labl>
          María Trinidad Sánchez and Samaná [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214015
        </catValu>
        <labl>
          Monte Cristi [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214016
        </catValu>
        <labl>
          Pedernales [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214017
        </catValu>
        <labl>
          Peravia and San José de Ocoa [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214018
        </catValu>
        <labl>
          Puerto Plata [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214019
        </catValu>
        <labl>
          Hermanas Mirabal [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214021
        </catValu>
        <labl>
          San Cristóbal and Monte Plata [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214022
        </catValu>
        <labl>
          San Juan [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214023
        </catValu>
        <labl>
          San Pedro de Macorís [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214024
        </catValu>
        <labl>
          Sánchez Ramírez [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214025
        </catValu>
        <labl>
          Santiago [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214026
        </catValu>
        <labl>
          Santiago Rodríguez [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214027
        </catValu>
        <labl>
          Valverde [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218001
        </catValu>
        <labl>
          Azuay [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218002
        </catValu>
        <labl>
          Bolivar [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218003
        </catValu>
        <labl>
          Cañar [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218004
        </catValu>
        <labl>
          Carchi [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218005
        </catValu>
        <labl>
          Cotopaxi [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218006
        </catValu>
        <labl>
          Chimborazo [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218007
        </catValu>
        <labl>
          El Oro [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218008
        </catValu>
        <labl>
          Esmeraldas [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218009
        </catValu>
        <labl>
          Guayas, Santa Elena, and Galapagos [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218010
        </catValu>
        <labl>
          Imbabura [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218011
        </catValu>
        <labl>
          Loja [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218012
        </catValu>
        <labl>
          Los Ríos [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218013
        </catValu>
        <labl>
          Manabí [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218014
        </catValu>
        <labl>
          Morona Santiago [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218016
        </catValu>
        <labl>
          Pastaza [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218017
        </catValu>
        <labl>
          Pichincha and Santo Domingo de los Tsáchilas [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218018
        </catValu>
        <labl>
          Tungurahua [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218019
        </catValu>
        <labl>
          Zamora Chinchipe [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218021
        </catValu>
        <labl>
          Napo, Orellana, and Sucumbios [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218023
        </catValu>
        <labl>
          Disputed Zones [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218099
        </catValu>
        <labl>
          Unknown [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222001
        </catValu>
        <labl>
          Ahuachapán [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222002
        </catValu>
        <labl>
          Santa Ana [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222003
        </catValu>
        <labl>
          Sonsonate [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222004
        </catValu>
        <labl>
          Chalatenango [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222005
        </catValu>
        <labl>
          La Libertad [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222006
        </catValu>
        <labl>
          San Salvador [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222007
        </catValu>
        <labl>
          Cuscatlán [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222008
        </catValu>
        <labl>
          La Paz [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222009
        </catValu>
        <labl>
          Cabañas [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222010
        </catValu>
        <labl>
          San Vicente [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222011
        </catValu>
        <labl>
          Usulután [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222012
        </catValu>
        <labl>
          San Miguel [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222013
        </catValu>
        <labl>
          Morazán [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222014
        </catValu>
        <labl>
          La Unión [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242001
        </catValu>
        <labl>
          Ba [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242003
        </catValu>
        <labl>
          Bua and Cakaudrove [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242006
        </catValu>
        <labl>
          Kadavu, Lau, Lomaiviti, and Rotuma [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242007
        </catValu>
        <labl>
          Macuata [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242008
        </catValu>
        <labl>
          Nadroha [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242009
        </catValu>
        <labl>
          Naitasiri [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242011
        </catValu>
        <labl>
          Ra [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242012
        </catValu>
        <labl>
          Rewa [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242014
        </catValu>
        <labl>
          Serua and Namosi [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242015
        </catValu>
        <labl>
          Tailevu [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242099
        </catValu>
        <labl>
          Ships and unknown [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250001
        </catValu>
        <labl>
          Guadeloupe [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250002
        </catValu>
        <labl>
          Martinique [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250003
        </catValu>
        <labl>
          Guyane [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250004
        </catValu>
        <labl>
          La Réunion [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250011
        </catValu>
        <labl>
          Region d'Île de France [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250021
        </catValu>
        <labl>
          Champagne-Ardenne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250022
        </catValu>
        <labl>
          Picardie [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250023
        </catValu>
        <labl>
          Haute-Normandie [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250024
        </catValu>
        <labl>
          Centre [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250025
        </catValu>
        <labl>
          Basse-Normandie [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250026
        </catValu>
        <labl>
          Bourgogne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250031
        </catValu>
        <labl>
          Nord-Pas-de-Calais [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250041
        </catValu>
        <labl>
          Lorraine [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250042
        </catValu>
        <labl>
          Alsace [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250043
        </catValu>
        <labl>
          Franche-Comté [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250052
        </catValu>
        <labl>
          Pays de la Loire [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250053
        </catValu>
        <labl>
          Bretagne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250054
        </catValu>
        <labl>
          Poitou-Charentes [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250072
        </catValu>
        <labl>
          Aquitaine [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250073
        </catValu>
        <labl>
          Midi-Pyrénées [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250074
        </catValu>
        <labl>
          Limousin [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250082
        </catValu>
        <labl>
          Rhône-Alpes [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250083
        </catValu>
        <labl>
          Auvergne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250091
        </catValu>
        <labl>
          Lanquedoc-Roussillon [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250093
        </catValu>
        <labl>
          Provence-Alpes-Côte d'Azur [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250094
        </catValu>
        <labl>
          Corse [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          Jenin [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275005
        </catValu>
        <labl>
          Tubas [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275010
        </catValu>
        <labl>
          Tulkarm [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275015
        </catValu>
        <labl>
          Nablus [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275020
        </catValu>
        <labl>
          Qalqiliya [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275025
        </catValu>
        <labl>
          Salfit [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275030
        </catValu>
        <labl>
          Ramallah and Al-Bireh [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275035
        </catValu>
        <labl>
          Jericho [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275040
        </catValu>
        <labl>
          Jerusalem [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275045
        </catValu>
        <labl>
          Bethlehem [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275050
        </catValu>
        <labl>
          Hebron [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275055
        </catValu>
        <labl>
          North Gaza [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275060
        </catValu>
        <labl>
          Gaza [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275065
        </catValu>
        <labl>
          Deir Al-Balah [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275070
        </catValu>
        <labl>
          Khan Yunis [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275075
        </catValu>
        <labl>
          Rafah [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276001
        </catValu>
        <labl>
          Schleswig-Holstein [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276002
        </catValu>
        <labl>
          Hamburg [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276003
        </catValu>
        <labl>
          Niedersachsen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276004
        </catValu>
        <labl>
          Bremen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276005
        </catValu>
        <labl>
          Nordrhein-Westfalen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276006
        </catValu>
        <labl>
          Hessen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276007
        </catValu>
        <labl>
          Rheinland-Pfalz [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276008
        </catValu>
        <labl>
          Baden-Württemberg [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276009
        </catValu>
        <labl>
          Bayern [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276010
        </catValu>
        <labl>
          Saarland [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276012
        </catValu>
        <labl>
          Brandenburg [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276013
        </catValu>
        <labl>
          Mecklenburg-West Pomerania [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276014
        </catValu>
        <labl>
          Saxony [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276015
        </catValu>
        <labl>
          Saxony-Anhalt [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276016
        </catValu>
        <labl>
          Thuringia [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276017
        </catValu>
        <labl>
          East Berlin [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276018
        </catValu>
        <labl>
          West Berlin [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276099
        </catValu>
        <labl>
          NIU (Not in universe) [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288001
        </catValu>
        <labl>
          Western [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288002
        </catValu>
        <labl>
          Central [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288003
        </catValu>
        <labl>
          Greater Accra [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288004
        </catValu>
        <labl>
          Volta [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288005
        </catValu>
        <labl>
          Eastern [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288006
        </catValu>
        <labl>
          Ashanti [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288007
        </catValu>
        <labl>
          Brong Ahafo [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288008
        </catValu>
        <labl>
          Northern [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288009
        </catValu>
        <labl>
          Upper East [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288010
        </catValu>
        <labl>
          Upper West [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300001
        </catValu>
        <labl>
          Etolia and Akarnania [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300003
        </catValu>
        <labl>
          Viotia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300004
        </catValu>
        <labl>
          Evia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300005
        </catValu>
        <labl>
          Evrytania [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300006
        </catValu>
        <labl>
          Fthiotida [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300007
        </catValu>
        <labl>
          Fokida [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300011
        </catValu>
        <labl>
          Argolida [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300012
        </catValu>
        <labl>
          Arkadia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300013
        </catValu>
        <labl>
          Achaia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300014
        </catValu>
        <labl>
          Ilia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300015
        </catValu>
        <labl>
          Korinthia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300016
        </catValu>
        <labl>
          Lakonia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300017
        </catValu>
        <labl>
          Messinia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300021
        </catValu>
        <labl>
          Zakynthos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300022
        </catValu>
        <labl>
          Kerkyra [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300023
        </catValu>
        <labl>
          Kefallinia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300024
        </catValu>
        <labl>
          Lefkada [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300031
        </catValu>
        <labl>
          Arta [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300032
        </catValu>
        <labl>
          Thesprotia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300033
        </catValu>
        <labl>
          Ioannina [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300034
        </catValu>
        <labl>
          Preveza [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300041
        </catValu>
        <labl>
          Karditsa [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300042
        </catValu>
        <labl>
          Larissa [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300043
        </catValu>
        <labl>
          Magnissia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300044
        </catValu>
        <labl>
          Trikala [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300051
        </catValu>
        <labl>
          Grevena [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300052
        </catValu>
        <labl>
          Drama [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300053
        </catValu>
        <labl>
          Imathia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300054
        </catValu>
        <labl>
          Thessaloniki [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300055
        </catValu>
        <labl>
          Kavala [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300056
        </catValu>
        <labl>
          Kastoria [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300057
        </catValu>
        <labl>
          Kilkis [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300058
        </catValu>
        <labl>
          Kozani [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300059
        </catValu>
        <labl>
          Pella [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300061
        </catValu>
        <labl>
          Pieria [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300062
        </catValu>
        <labl>
          Serres [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300063
        </catValu>
        <labl>
          Florina [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300064
        </catValu>
        <labl>
          Chalkidiki and Aghion Oros [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300071
        </catValu>
        <labl>
          Evros [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300072
        </catValu>
        <labl>
          Xanthi [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300073
        </catValu>
        <labl>
          Rodopi [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300081
        </catValu>
        <labl>
          Dodekanissos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300082
        </catValu>
        <labl>
          Kyklades [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300083
        </catValu>
        <labl>
          Lesvos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300084
        </catValu>
        <labl>
          Samos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300085
        </catValu>
        <labl>
          Chios [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300091
        </catValu>
        <labl>
          Iraklio [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300092
        </catValu>
        <labl>
          Lassithi [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300093
        </catValu>
        <labl>
          Rethymno [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300094
        </catValu>
        <labl>
          Chania [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300101
        </catValu>
        <labl>
          Prefecture of Athens [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300102
        </catValu>
        <labl>
          Prefecture of East Attiki [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300103
        </catValu>
        <labl>
          Prefecture of West Attiki [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300104
        </catValu>
        <labl>
          Prefecture of Pireas [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324001
        </catValu>
        <labl>
          Boké [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324002
        </catValu>
        <labl>
          Faranah [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324003
        </catValu>
        <labl>
          Kankan [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324004
        </catValu>
        <labl>
          Kindia, Labe, and Mamzu [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324007
        </catValu>
        <labl>
          N'zerekore [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324008
        </catValu>
        <labl>
          Conakry [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332001
        </catValu>
        <labl>
          Ouest (West) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332002
        </catValu>
        <labl>
          Sud'Est (South East) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332003
        </catValu>
        <labl>
          Nord (North) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332004
        </catValu>
        <labl>
          Nord'est (North East) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332005
        </catValu>
        <labl>
          Artibonite [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332006
        </catValu>
        <labl>
          Centre [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332007
        </catValu>
        <labl>
          Sud (South) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332008
        </catValu>
        <labl>
          Grand'Anse and Nippes [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332009
        </catValu>
        <labl>
          Nord'Ouest (North West) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356001
        </catValu>
        <labl>
          Jammu and Kashmir [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356002
        </catValu>
        <labl>
          Himachal Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356003
        </catValu>
        <labl>
          Punjab [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356004
        </catValu>
        <labl>
          Chandigarh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356006
        </catValu>
        <labl>
          Haryana [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356007
        </catValu>
        <labl>
          Delhi [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356008
        </catValu>
        <labl>
          Rajasthan [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356009
        </catValu>
        <labl>
          Uttar Pradesh and Uttaranchal [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356010
        </catValu>
        <labl>
          Bihar and Jharkhand [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356011
        </catValu>
        <labl>
          Sikkim [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356012
        </catValu>
        <labl>
          Arunachal Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356013
        </catValu>
        <labl>
          Nagaland [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356014
        </catValu>
        <labl>
          Manipur [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356015
        </catValu>
        <labl>
          Mizoram [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356016
        </catValu>
        <labl>
          Tripura [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356017
        </catValu>
        <labl>
          Meghalaya [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356018
        </catValu>
        <labl>
          Assam [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356019
        </catValu>
        <labl>
          West Bengal [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356021
        </catValu>
        <labl>
          Orissa [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356023
        </catValu>
        <labl>
          Chhattisgarh and Madhya Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356024
        </catValu>
        <labl>
          Gujarat [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356026
        </catValu>
        <labl>
          Dadra and Nagar Haveli [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356027
        </catValu>
        <labl>
          Maharashtra [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356028
        </catValu>
        <labl>
          Andhra Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356029
        </catValu>
        <labl>
          Karnataka [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356030
        </catValu>
        <labl>
          Daman and Diu and Goa [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356031
        </catValu>
        <labl>
          Lakshadweep [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356032
        </catValu>
        <labl>
          Kerala [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356033
        </catValu>
        <labl>
          Tamil Nadu [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356034
        </catValu>
        <labl>
          Pondicherry [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356035
        </catValu>
        <labl>
          Andaman and Nicobar Islands [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360011
        </catValu>
        <labl>
          Nanggroe Aceh Darussalam [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360012
        </catValu>
        <labl>
          Sumatera Utara [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360013
        </catValu>
        <labl>
          Sumatera Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360014
        </catValu>
        <labl>
          Riau and Kepulauan Riau [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360015
        </catValu>
        <labl>
          Jambi [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360016
        </catValu>
        <labl>
          Sumatera Selatan and Bangka Belitung [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360017
        </catValu>
        <labl>
          Bengkulu [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360018
        </catValu>
        <labl>
          Lampung [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360031
        </catValu>
        <labl>
          DKI Jakarta [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360032
        </catValu>
        <labl>
          West Java and Banten [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360033
        </catValu>
        <labl>
          Jawa Tengah [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360034
        </catValu>
        <labl>
          DI Yogyakarta [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360035
        </catValu>
        <labl>
          Jawa Timur [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360051
        </catValu>
        <labl>
          Bali [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360052
        </catValu>
        <labl>
          Nusa Tenggara Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360053
        </catValu>
        <labl>
          East Nusa Tenggara and East Timur [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360061
        </catValu>
        <labl>
          Kalimantan Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360062
        </catValu>
        <labl>
          Kalimantan Tengah [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360063
        </catValu>
        <labl>
          Kalimantan Selatan [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360064
        </catValu>
        <labl>
          Kalimantan Timur [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360071
        </catValu>
        <labl>
          Sulawesi Utara and Gorontalo [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360072
        </catValu>
        <labl>
          Sulawesi Tengah [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360073
        </catValu>
        <labl>
          Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360081
        </catValu>
        <labl>
          Maluku and North Maluku [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360094
        </catValu>
        <labl>
          Papua and Papua Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364000
        </catValu>
        <labl>
          Markazi [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364001
        </catValu>
        <labl>
          Gilan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364002
        </catValu>
        <labl>
          Mazandaran [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364003
        </catValu>
        <labl>
          East Azarbayejan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364004
        </catValu>
        <labl>
          West Azarbayejan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364005
        </catValu>
        <labl>
          Kermanshah [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364006
        </catValu>
        <labl>
          Khuzestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364007
        </catValu>
        <labl>
          Fars [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364008
        </catValu>
        <labl>
          Kerman [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364009
        </catValu>
        <labl>
          Khorasan-e- Razavi [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364010
        </catValu>
        <labl>
          Esfahan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364011
        </catValu>
        <labl>
          Sistan and Baluchestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364012
        </catValu>
        <labl>
          Kordestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364013
        </catValu>
        <labl>
          Hamedan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364014
        </catValu>
        <labl>
          Chaharmahal and Bakhtiyari [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364015
        </catValu>
        <labl>
          Lorestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364016
        </catValu>
        <labl>
          Ilam [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364017
        </catValu>
        <labl>
          Kohgiluyeh and Boyerahmad [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364018
        </catValu>
        <labl>
          Bushehr [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364019
        </catValu>
        <labl>
          Zanjan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364020
        </catValu>
        <labl>
          Semnan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364021
        </catValu>
        <labl>
          Yazd [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364022
        </catValu>
        <labl>
          Hormozgan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364023
        </catValu>
        <labl>
          Tehran [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364024
        </catValu>
        <labl>
          Ardebil [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364025
        </catValu>
        <labl>
          Qom [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364026
        </catValu>
        <labl>
          Qazvin [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364027
        </catValu>
        <labl>
          Golestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364028
        </catValu>
        <labl>
          North Khorasan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364029
        </catValu>
        <labl>
          South Khorasan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368011
        </catValu>
        <labl>
          Dhok [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368012
        </catValu>
        <labl>
          Nineveh [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368013
        </catValu>
        <labl>
          Al-Sulaimaniya [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368014
        </catValu>
        <labl>
          Al-Tameem [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368015
        </catValu>
        <labl>
          Arbil [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368021
        </catValu>
        <labl>
          Diala [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368022
        </catValu>
        <labl>
          Al-Anbar [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368023
        </catValu>
        <labl>
          Baghdad [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368024
        </catValu>
        <labl>
          Babylon [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368025
        </catValu>
        <labl>
          Kerbela [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368026
        </catValu>
        <labl>
          Wasit [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368027
        </catValu>
        <labl>
          Salah Al-Deen [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368028
        </catValu>
        <labl>
          Al-Najaf [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368031
        </catValu>
        <labl>
          Al-Qadisiya [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368032
        </catValu>
        <labl>
          Al-Muthanna [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368033
        </catValu>
        <labl>
          Thi-Qar [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368034
        </catValu>
        <labl>
          Maysan [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368035
        </catValu>
        <labl>
          Al-Basrah [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372001
        </catValu>
        <labl>
          Border [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372002
        </catValu>
        <labl>
          Dublin [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372003
        </catValu>
        <labl>
          Mid-East [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372004
        </catValu>
        <labl>
          Midlands [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372005
        </catValu>
        <labl>
          Mid-West [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372006
        </catValu>
        <labl>
          South-East [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372007
        </catValu>
        <labl>
          South-West [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372008
        </catValu>
        <labl>
          West [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376001
        </catValu>
        <labl>
          Jerusalem [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376002
        </catValu>
        <labl>
          Northern [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376003
        </catValu>
        <labl>
          Haifa [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376004
        </catValu>
        <labl>
          Central [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376005
        </catValu>
        <labl>
          Tel-Aviv [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376006
        </catValu>
        <labl>
          Southern [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376009
        </catValu>
        <labl>
          Judea, Samaria, and Gaza areas [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380001
        </catValu>
        <labl>
          Piemonte-Valle d'Aosta [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380003
        </catValu>
        <labl>
          Lombardia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380004
        </catValu>
        <labl>
          Trentino-Alto Adige [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380005
        </catValu>
        <labl>
          Veneto [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380006
        </catValu>
        <labl>
          Friuli-Venezia Giulia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380007
        </catValu>
        <labl>
          Liguria [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380008
        </catValu>
        <labl>
          Emilia-Romagna [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380009
        </catValu>
        <labl>
          Toscana [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380010
        </catValu>
        <labl>
          Umbria [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380011
        </catValu>
        <labl>
          Marche [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380012
        </catValu>
        <labl>
          Lazio [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380013
        </catValu>
        <labl>
          Abruzzo [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380014
        </catValu>
        <labl>
          Molise [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380015
        </catValu>
        <labl>
          Campania [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380016
        </catValu>
        <labl>
          Puglia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380017
        </catValu>
        <labl>
          Basilicata [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380018
        </catValu>
        <labl>
          Calabria [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380019
        </catValu>
        <labl>
          Sicilia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380020
        </catValu>
        <labl>
          Sardegna [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388001
        </catValu>
        <labl>
          Kingston [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388002
        </catValu>
        <labl>
          Saint Andrew [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388003
        </catValu>
        <labl>
          Saint Thomas [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388004
        </catValu>
        <labl>
          Portland [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388005
        </catValu>
        <labl>
          Saint Mary [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388006
        </catValu>
        <labl>
          Saint Ann [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388007
        </catValu>
        <labl>
          Trelawny [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388008
        </catValu>
        <labl>
          Saint James [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388009
        </catValu>
        <labl>
          Hanover [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388010
        </catValu>
        <labl>
          Westmoreland [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388011
        </catValu>
        <labl>
          Saint Elizabeth [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388012
        </catValu>
        <labl>
          Manchester [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388013
        </catValu>
        <labl>
          Clarendon [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388014
        </catValu>
        <labl>
          Saint Catherine [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400011
        </catValu>
        <labl>
          Amman [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400012
        </catValu>
        <labl>
          Balqa [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400013
        </catValu>
        <labl>
          Zarqa [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400014
        </catValu>
        <labl>
          Madaba [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400021
        </catValu>
        <labl>
          Irbid [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400022
        </catValu>
        <labl>
          Mafraq [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400023
        </catValu>
        <labl>
          Jarash [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400024
        </catValu>
        <labl>
          Ajloun [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400031
        </catValu>
        <labl>
          Karak [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400032
        </catValu>
        <labl>
          Tafileh [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400033
        </catValu>
        <labl>
          Ma'an [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400034
        </catValu>
        <labl>
          Aqaba [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404001
        </catValu>
        <labl>
          Nairobi [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404002
        </catValu>
        <labl>
          Central Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404003
        </catValu>
        <labl>
          Coast Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404004
        </catValu>
        <labl>
          Eastern Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404005
        </catValu>
        <labl>
          North-Eastern Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404006
        </catValu>
        <labl>
          Nyanza Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404007
        </catValu>
        <labl>
          Rift Valley Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404008
        </catValu>
        <labl>
          Western Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417001
        </catValu>
        <labl>
          Gorkenesh Bishkek [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417002
        </catValu>
        <labl>
          Issyk-Kul [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417003
        </catValu>
        <labl>
          Dzhalal-Abad [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417004
        </catValu>
        <labl>
          Naryn [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417005
        </catValu>
        <labl>
          Batken [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417006
        </catValu>
        <labl>
          Oshskaya [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417007
        </catValu>
        <labl>
          Talasskaya [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417008
        </catValu>
        <labl>
          Chuya [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430006
        </catValu>
        <labl>
          Bong [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430009
        </catValu>
        <labl>
          Grand Bassa and Rivercess [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430012
        </catValu>
        <labl>
          Grand Cape Mount [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430015
        </catValu>
        <labl>
          Grand Gedeh and River Gee [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430021
        </catValu>
        <labl>
          Lofa and Gbarpolu [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430027
        </catValu>
        <labl>
          Maryland and Grand Kru [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430030
        </catValu>
        <labl>
          Montserrado, Bomi, and Margibi [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430033
        </catValu>
        <labl>
          Nimba [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430039
        </catValu>
        <labl>
          Sinoe [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454101
        </catValu>
        <labl>
          Chitipa [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454102
        </catValu>
        <labl>
          Karonga [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454103
        </catValu>
        <labl>
          Nkhata Bay and Likoma [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454104
        </catValu>
        <labl>
          Rumphi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454105
        </catValu>
        <labl>
          Mzimba and Mzuzu city [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454201
        </catValu>
        <labl>
          Kasungu [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454202
        </catValu>
        <labl>
          Nkhota Kota [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454203
        </catValu>
        <labl>
          Ntchisi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454204
        </catValu>
        <labl>
          Dowa [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454205
        </catValu>
        <labl>
          Salima [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454206
        </catValu>
        <labl>
          Lilongwe [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454207
        </catValu>
        <labl>
          Mchinji [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454208
        </catValu>
        <labl>
          Dedza [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454209
        </catValu>
        <labl>
          Ntcheu [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454301
        </catValu>
        <labl>
          Mangochi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454302
        </catValu>
        <labl>
          Machinga and Balaka [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454303
        </catValu>
        <labl>
          Zomba [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454304
        </catValu>
        <labl>
          Chiradzulu [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454305
        </catValu>
        <labl>
          Blantyre [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454307
        </catValu>
        <labl>
          Thyolo [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454308
        </catValu>
        <labl>
          Mulanje and Phalombe [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454310
        </catValu>
        <labl>
          Chikwawa [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454311
        </catValu>
        <labl>
          Nsanje [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454313
        </catValu>
        <labl>
          Mwanza and Neno [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458001
        </catValu>
        <labl>
          Johor [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458002
        </catValu>
        <labl>
          Kedah [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458003
        </catValu>
        <labl>
          Kelantan [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458004
        </catValu>
        <labl>
          Melaka [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458005
        </catValu>
        <labl>
          Negeri Sembilan [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458006
        </catValu>
        <labl>
          Pahang [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458007
        </catValu>
        <labl>
          Pulau Pinang [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458008
        </catValu>
        <labl>
          Perak [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458009
        </catValu>
        <labl>
          Perlis [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458010
        </catValu>
        <labl>
          Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458011
        </catValu>
        <labl>
          Terengganu [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458012
        </catValu>
        <labl>
          Sabah and Labuan Federal Territory [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458013
        </catValu>
        <labl>
          Sarawak [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466001
        </catValu>
        <labl>
          Kayes [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466002
        </catValu>
        <labl>
          Koulikoro [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466003
        </catValu>
        <labl>
          Sikasso [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466004
        </catValu>
        <labl>
          Ségou [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466005
        </catValu>
        <labl>
          Mopti [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466006
        </catValu>
        <labl>
          Tombouctou [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466007
        </catValu>
        <labl>
          Gao and Kidal [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466009
        </catValu>
        <labl>
          Bamako [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466099
        </catValu>
        <labl>
          Unknown [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484001
        </catValu>
        <labl>
          Aguascalientes [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484002
        </catValu>
        <labl>
          Baja California [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484003
        </catValu>
        <labl>
          Baja California Sur [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484004
        </catValu>
        <labl>
          Campeche [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484005
        </catValu>
        <labl>
          Coahuila [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484006
        </catValu>
        <labl>
          Colima [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484007
        </catValu>
        <labl>
          Chiapas [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484008
        </catValu>
        <labl>
          Chihuahua [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484009
        </catValu>
        <labl>
          Distrito Federal [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484010
        </catValu>
        <labl>
          Durango [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484011
        </catValu>
        <labl>
          Guanajuato [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484012
        </catValu>
        <labl>
          Guerrero [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484013
        </catValu>
        <labl>
          Hidalgo [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484014
        </catValu>
        <labl>
          Jalisco [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484015
        </catValu>
        <labl>
          México [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484016
        </catValu>
        <labl>
          Michoacán [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484017
        </catValu>
        <labl>
          Morelos [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484018
        </catValu>
        <labl>
          Nayarit [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484019
        </catValu>
        <labl>
          Nuevo León [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484020
        </catValu>
        <labl>
          Oaxaca [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484021
        </catValu>
        <labl>
          Puebla [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484022
        </catValu>
        <labl>
          Querétaro [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484023
        </catValu>
        <labl>
          Quintana Roo [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484024
        </catValu>
        <labl>
          San Luis Potosí [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484025
        </catValu>
        <labl>
          Sinaloa [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484026
        </catValu>
        <labl>
          Sonora [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484027
        </catValu>
        <labl>
          Tabasco [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484028
        </catValu>
        <labl>
          Tamaulipas [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484029
        </catValu>
        <labl>
          Tlaxcala [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484030
        </catValu>
        <labl>
          Veracruz [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484031
        </catValu>
        <labl>
          Yucatán [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484032
        </catValu>
        <labl>
          Zacatecas [State: Mexico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496001
        </catValu>
        <labl>
          Arkhangai [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496002
        </catValu>
        <labl>
          Bayan-Ölgii [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496003
        </catValu>
        <labl>
          Bayankhongor [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496004
        </catValu>
        <labl>
          Bulgan [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496005
        </catValu>
        <labl>
          Govi-Altai [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496006
        </catValu>
        <labl>
          Dornogovi [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496007
        </catValu>
        <labl>
          Dornod [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496008
        </catValu>
        <labl>
          Dundgovi and Govisumber [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496009
        </catValu>
        <labl>
          Zavkhan [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496010
        </catValu>
        <labl>
          Övörkhangai [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496011
        </catValu>
        <labl>
          Ömnögovi [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496012
        </catValu>
        <labl>
          Sükhbaatar [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496013
        </catValu>
        <labl>
          Selenge [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496014
        </catValu>
        <labl>
          Töv [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496015
        </catValu>
        <labl>
          Uvs [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496016
        </catValu>
        <labl>
          Khovd [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496017
        </catValu>
        <labl>
          Khövsgöl [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496018
        </catValu>
        <labl>
          Khentii [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496019
        </catValu>
        <labl>
          Darkhan-Uul [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496020
        </catValu>
        <labl>
          Ulaanbaatar [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496021
        </catValu>
        <labl>
          Orkhon [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504001
        </catValu>
        <labl>
          Oued-Ed-Dahab-Lagouira [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504002
        </catValu>
        <labl>
          Laayoune-Boujdour-Sakia El Hamra [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504003
        </catValu>
        <labl>
          Guelmin-Es-Samara [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504004
        </catValu>
        <labl>
          Souss-Massa-Draa [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504005
        </catValu>
        <labl>
          Charb-Chrarda-Beni Hssen [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504006
        </catValu>
        <labl>
          Chaouia-Ouardigha [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504007
        </catValu>
        <labl>
          Marrakech-Tensift-Al Haouz [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504008
        </catValu>
        <labl>
          Oriental [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504009
        </catValu>
        <labl>
          Grand-Casablanca [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504010
        </catValu>
        <labl>
          Rabat-Salé-Zemmour-Zaer [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504011
        </catValu>
        <labl>
          Doukala Abda [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504012
        </catValu>
        <labl>
          Tadla Azilal [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504013
        </catValu>
        <labl>
          Meknes-Tafilalet [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504014
        </catValu>
        <labl>
          Fès-Boulemane [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504015
        </catValu>
        <labl>
          Taza-Al Heiceima-Taounate [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504016
        </catValu>
        <labl>
          Tanger-Tétouan [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524001
        </catValu>
        <labl>
          Mechi [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524002
        </catValu>
        <labl>
          Koshi [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524003
        </catValu>
        <labl>
          Sagarmatha [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524004
        </catValu>
        <labl>
          Janakpur [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524005
        </catValu>
        <labl>
          Bagmati [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524006
        </catValu>
        <labl>
          Narayani [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524007
        </catValu>
        <labl>
          Gandaki [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524008
        </catValu>
        <labl>
          Dhawalagiri [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524009
        </catValu>
        <labl>
          Lumbini [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524010
        </catValu>
        <labl>
          Rapti [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524011
        </catValu>
        <labl>
          Bheri [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524012
        </catValu>
        <labl>
          Karnali [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524013
        </catValu>
        <labl>
          Seti [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524014
        </catValu>
        <labl>
          Mahakali [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558005
        </catValu>
        <labl>
          Nueva Segovia [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558010
        </catValu>
        <labl>
          Jinotega [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558020
        </catValu>
        <labl>
          Madríz [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558030
        </catValu>
        <labl>
          Chinandega [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558035
        </catValu>
        <labl>
          Leon and Esteli [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558040
        </catValu>
        <labl>
          Matagalpa [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558050
        </catValu>
        <labl>
          Boaco [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558055
        </catValu>
        <labl>
          Managua [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558060
        </catValu>
        <labl>
          Masaya [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558065
        </catValu>
        <labl>
          Chontales [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558070
        </catValu>
        <labl>
          Granada [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558075
        </catValu>
        <labl>
          Carazo [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558080
        </catValu>
        <labl>
          Rivas [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558085
        </catValu>
        <labl>
          Río San Juan [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558093
        </catValu>
        <labl>
          Zelaya, Atlántico Norte and Atlántico Sur [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558099
        </catValu>
        <labl>
          Unknown [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566001
        </catValu>
        <labl>
          Abia [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566002
        </catValu>
        <labl>
          Adamawa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566003
        </catValu>
        <labl>
          Akwa Ibom [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566004
        </catValu>
        <labl>
          Anambra [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566005
        </catValu>
        <labl>
          Bauchi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566006
        </catValu>
        <labl>
          Bayelsa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566007
        </catValu>
        <labl>
          Benue [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566008
        </catValu>
        <labl>
          Borno [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566009
        </catValu>
        <labl>
          Cross River [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566010
        </catValu>
        <labl>
          Delta [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566011
        </catValu>
        <labl>
          Ebonyi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566012
        </catValu>
        <labl>
          Edo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566013
        </catValu>
        <labl>
          Ekiti [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566014
        </catValu>
        <labl>
          Enugu [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566015
        </catValu>
        <labl>
          Gombe [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566016
        </catValu>
        <labl>
          Imo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566017
        </catValu>
        <labl>
          Jigawa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566018
        </catValu>
        <labl>
          Kaduna [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566019
        </catValu>
        <labl>
          Kano [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566020
        </catValu>
        <labl>
          Katsina [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566021
        </catValu>
        <labl>
          Kebbi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566022
        </catValu>
        <labl>
          Kogi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566023
        </catValu>
        <labl>
          Kwara [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566024
        </catValu>
        <labl>
          Lagos [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566025
        </catValu>
        <labl>
          Nasarawa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566026
        </catValu>
        <labl>
          Niger [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566027
        </catValu>
        <labl>
          Ogun [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566028
        </catValu>
        <labl>
          Ondo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566029
        </catValu>
        <labl>
          Osun [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566030
        </catValu>
        <labl>
          Oyo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566031
        </catValu>
        <labl>
          Plateau [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566032
        </catValu>
        <labl>
          Rivers [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566033
        </catValu>
        <labl>
          Sokoto [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566034
        </catValu>
        <labl>
          Taraba [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566035
        </catValu>
        <labl>
          Yobe [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566036
        </catValu>
        <labl>
          Zamfara [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566037
        </catValu>
        <labl>
          FCT Abuja [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566099
        </catValu>
        <labl>
          Unknown [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586001
        </catValu>
        <labl>
          North-West Frontier Province [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586003
        </catValu>
        <labl>
          Punjab [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586004
        </catValu>
        <labl>
          Sindh [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586005
        </catValu>
        <labl>
          Balochistan [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586006
        </catValu>
        <labl>
          Islamabad [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591002
        </catValu>
        <labl>
          Coclé [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591003
        </catValu>
        <labl>
          Colón [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591004
        </catValu>
        <labl>
          Bocas del Toro, Chiriquí, Veraguas, and Comarca Ngöbe-Buglé [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591006
        </catValu>
        <labl>
          Herrera [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591007
        </catValu>
        <labl>
          Los Santos [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591008
        </catValu>
        <labl>
          Darién, Embera, and Panamá [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591010
        </catValu>
        <labl>
          Comarca Kuna Yala (San Blas) [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604001
        </catValu>
        <labl>
          Amazonas [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604002
        </catValu>
        <labl>
          Ancash [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604003
        </catValu>
        <labl>
          Apurimac [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604004
        </catValu>
        <labl>
          Arequipa [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604005
        </catValu>
        <labl>
          Ayacucho [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604006
        </catValu>
        <labl>
          Cajamarca [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604007
        </catValu>
        <labl>
          Callao [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604008
        </catValu>
        <labl>
          Cusco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604009
        </catValu>
        <labl>
          Huancavelica [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604010
        </catValu>
        <labl>
          Huanuco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604011
        </catValu>
        <labl>
          Ica [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604012
        </catValu>
        <labl>
          Junin [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604013
        </catValu>
        <labl>
          La Libertad [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604014
        </catValu>
        <labl>
          Lambayeque [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604015
        </catValu>
        <labl>
          Lima [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604016
        </catValu>
        <labl>
          Loreto [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604017
        </catValu>
        <labl>
          Madre de Dios [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604018
        </catValu>
        <labl>
          Moquegua [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604019
        </catValu>
        <labl>
          Pasco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604020
        </catValu>
        <labl>
          Piura [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604021
        </catValu>
        <labl>
          Puno [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604022
        </catValu>
        <labl>
          San Martin [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604023
        </catValu>
        <labl>
          Tacna [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604024
        </catValu>
        <labl>
          Tumbes [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604025
        </catValu>
        <labl>
          Ucayali [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608001
        </catValu>
        <labl>
          Ilocos [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608002
        </catValu>
        <labl>
          Cagayan Valley [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608003
        </catValu>
        <labl>
          Central Luzon [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608004
        </catValu>
        <labl>
          Southern Tagalog [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608005
        </catValu>
        <labl>
          Bicol [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608006
        </catValu>
        <labl>
          Western Visayas [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608007
        </catValu>
        <labl>
          Central Visayas [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608008
        </catValu>
        <labl>
          Eastern Visayas [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608009
        </catValu>
        <labl>
          Western Mindanao [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608011
        </catValu>
        <labl>
          Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608012
        </catValu>
        <labl>
          Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608013
        </catValu>
        <labl>
          National Capital Region [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608014
        </catValu>
        <labl>
          Cordillera Administrative Region [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620111
        </catValu>
        <labl>
          Minho-Lima [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620112
        </catValu>
        <labl>
          Cávado [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620113
        </catValu>
        <labl>
          Ave [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620114
        </catValu>
        <labl>
          Grande Porto [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620115
        </catValu>
        <labl>
          Tâmega [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620116
        </catValu>
        <labl>
          Entre Douro e Vouga [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620117
        </catValu>
        <labl>
          Douro [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620118
        </catValu>
        <labl>
          Alto Trás-os-Montes [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620150
        </catValu>
        <labl>
          Algarve [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620161
        </catValu>
        <labl>
          Baixo Vouga [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620162
        </catValu>
        <labl>
          Baixo Mondego [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620163
        </catValu>
        <labl>
          Pinhal Litoral [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620165
        </catValu>
        <labl>
          Dão-Lafões [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620166
        </catValu>
        <labl>
          Oeste [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620167
        </catValu>
        <labl>
          Médio Tejo [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620169
        </catValu>
        <labl>
          Other Center [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620171
        </catValu>
        <labl>
          Grande Lisboa [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620172
        </catValu>
        <labl>
          Península de Setúbal [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620185
        </catValu>
        <labl>
          Lezíria do Tejo [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620189
        </catValu>
        <labl>
          Other Alentejo [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620200
        </catValu>
        <labl>
          Autonomous Azores Region [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620300
        </catValu>
        <labl>
          Autonomous Madeira Region [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642001
        </catValu>
        <labl>
          Alba [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642002
        </catValu>
        <labl>
          Arad [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642003
        </catValu>
        <labl>
          Arges [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642004
        </catValu>
        <labl>
          Bacau [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642005
        </catValu>
        <labl>
          Bihor [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642006
        </catValu>
        <labl>
          Bistrita Nasaud [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642007
        </catValu>
        <labl>
          Botosani [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642008
        </catValu>
        <labl>
          Brasov [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642009
        </catValu>
        <labl>
          Braila [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642010
        </catValu>
        <labl>
          Buzau [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642011
        </catValu>
        <labl>
          Caras Severin [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642012
        </catValu>
        <labl>
          Cluj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642013
        </catValu>
        <labl>
          Constanta [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642014
        </catValu>
        <labl>
          Covasna [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642015
        </catValu>
        <labl>
          Dambovita [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642016
        </catValu>
        <labl>
          Dolj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642017
        </catValu>
        <labl>
          Galati [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642018
        </catValu>
        <labl>
          Gorj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642019
        </catValu>
        <labl>
          Harghita [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642020
        </catValu>
        <labl>
          Hunedoara [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642021
        </catValu>
        <labl>
          Ialomita [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642022
        </catValu>
        <labl>
          Iasi [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642024
        </catValu>
        <labl>
          Maramures [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642025
        </catValu>
        <labl>
          Mehedinti [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642026
        </catValu>
        <labl>
          Mures [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642027
        </catValu>
        <labl>
          Neamt [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642028
        </catValu>
        <labl>
          Olt [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642029
        </catValu>
        <labl>
          Prahova [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642030
        </catValu>
        <labl>
          Satu Mare [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642031
        </catValu>
        <labl>
          Salaj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642032
        </catValu>
        <labl>
          Sibiu [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642033
        </catValu>
        <labl>
          Suceava [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642034
        </catValu>
        <labl>
          Teleorman [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642035
        </catValu>
        <labl>
          Timis [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642036
        </catValu>
        <labl>
          Tulcea [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642037
        </catValu>
        <labl>
          Vaslui [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642038
        </catValu>
        <labl>
          Valcea [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642039
        </catValu>
        <labl>
          Vrancea [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642040
        </catValu>
        <labl>
          Bucharest Municipality, Ilfov, Calarasi, and Giurgiu [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646001
        </catValu>
        <labl>
          Kigali City [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646002
        </catValu>
        <labl>
          Kigali Ngali [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646004
        </catValu>
        <labl>
          Gitarama [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646005
        </catValu>
        <labl>
          Butare [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646006
        </catValu>
        <labl>
          Gikongoro [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646007
        </catValu>
        <labl>
          Cyangugu [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646008
        </catValu>
        <labl>
          Kibuye [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646009
        </catValu>
        <labl>
          Gisenyi [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646010
        </catValu>
        <labl>
          Ruhengeri [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646012
        </catValu>
        <labl>
          Byumba, Kibungo and Umutara [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686001
        </catValu>
        <labl>
          Dakar [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686002
        </catValu>
        <labl>
          Diourbel [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686003
        </catValu>
        <labl>
          Fatick [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686004
        </catValu>
        <labl>
          Kaolack [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686005
        </catValu>
        <labl>
          Kolda [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686006
        </catValu>
        <labl>
          Louga [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686008
        </catValu>
        <labl>
          Saint Louis and Matam [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686009
        </catValu>
        <labl>
          Tambacounda [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686010
        </catValu>
        <labl>
          Thies [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686011
        </catValu>
        <labl>
          Ziguinchor [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694011
        </catValu>
        <labl>
          Kailahun [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694012
        </catValu>
        <labl>
          Kenema [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694013
        </catValu>
        <labl>
          Kono [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694021
        </catValu>
        <labl>
          Bombali [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694022
        </catValu>
        <labl>
          Kambia [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694023
        </catValu>
        <labl>
          Koinadugu [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694024
        </catValu>
        <labl>
          Port Loko [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694025
        </catValu>
        <labl>
          Tonkolili [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694031
        </catValu>
        <labl>
          Bo [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694032
        </catValu>
        <labl>
          Bonthe [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694033
        </catValu>
        <labl>
          Moyamba [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694034
        </catValu>
        <labl>
          Pujehun [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694041
        </catValu>
        <labl>
          Western - rural [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694042
        </catValu>
        <labl>
          Western - urban [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704001
        </catValu>
        <labl>
          Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704002
        </catValu>
        <labl>
          Ha Giang, and Tuyen Quang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704004
        </catValu>
        <labl>
          Cao Bang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704014
        </catValu>
        <labl>
          Son La [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704015
        </catValu>
        <labl>
          Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704019
        </catValu>
        <labl>
          Bac Kan, and Thai Nguyen [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704020
        </catValu>
        <labl>
          Lang Son [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704022
        </catValu>
        <labl>
          Quang Ninh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704024
        </catValu>
        <labl>
          Bac Giang, and Bac Ninh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704030
        </catValu>
        <labl>
          Hai Duong, and Hung Yen [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704031
        </catValu>
        <labl>
          Hai Phong [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704034
        </catValu>
        <labl>
          Thai Binh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704038
        </catValu>
        <labl>
          Thanh Hoa [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704040
        </catValu>
        <labl>
          Nghe An, and Ha Tinh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704046
        </catValu>
        <labl>
          Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704049
        </catValu>
        <labl>
          Da Nang, and Quang Nam [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704051
        </catValu>
        <labl>
          Binh Dinh and Quang Ngai [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704054
        </catValu>
        <labl>
          Phu Yen and Khanh Hoa [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704060
        </catValu>
        <labl>
          Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704062
        </catValu>
        <labl>
          Gia Lai, and Kon Tum [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704066
        </catValu>
        <labl>
          Dak Lak and Dak Nong [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704068
        </catValu>
        <labl>
          Lam Dong [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704072
        </catValu>
        <labl>
          Tay Ninh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704074
        </catValu>
        <labl>
          Binh Duong, and Binh Phuoc [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704075
        </catValu>
        <labl>
          Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704079
        </catValu>
        <labl>
          Ho Chi Minh City [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704080
        </catValu>
        <labl>
          Long An [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704082
        </catValu>
        <labl>
          Tien Giang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704083
        </catValu>
        <labl>
          Ben Tre [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704086
        </catValu>
        <labl>
          Vinh Long, and Tra Vinh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704087
        </catValu>
        <labl>
          Dong Thap [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704089
        </catValu>
        <labl>
          An Giang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704091
        </catValu>
        <labl>
          Kien Giang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704094
        </catValu>
        <labl>
          Hau Giang, Can Tho city, and Soc Trang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704096
        </catValu>
        <labl>
          Bac Lieu, and Ca Mau [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705001
        </catValu>
        <labl>
          Pomurska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705002
        </catValu>
        <labl>
          Podravska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705003
        </catValu>
        <labl>
          Koroka [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705004
        </catValu>
        <labl>
          Savinjska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705005
        </catValu>
        <labl>
          Zasavska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705006
        </catValu>
        <labl>
          Spodnjeposavska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705007
        </catValu>
        <labl>
          Jugovzhodna Slovenija [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705008
        </catValu>
        <labl>
          Osrednjeslovenska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705009
        </catValu>
        <labl>
          Gorenjska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705010
        </catValu>
        <labl>
          Notranjsko-kraka [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705011
        </catValu>
        <labl>
          Gorika [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705012
        </catValu>
        <labl>
          Obalno-kraka [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705099
        </catValu>
        <labl>
          Unknown [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710001
        </catValu>
        <labl>
          Western Cape [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710002
        </catValu>
        <labl>
          Eastern Cape [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710003
        </catValu>
        <labl>
          Northern Cape [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710004
        </catValu>
        <labl>
          Free State [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710005
        </catValu>
        <labl>
          KwaZulu-Natal [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710006
        </catValu>
        <labl>
          North West [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710007
        </catValu>
        <labl>
          Gauteng [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710008
        </catValu>
        <labl>
          Mpumalanga [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710009
        </catValu>
        <labl>
          Limpopo [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710099
        </catValu>
        <labl>
          Unknown [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724011
        </catValu>
        <labl>
          Galicia [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724012
        </catValu>
        <labl>
          Principado de Asturias [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724013
        </catValu>
        <labl>
          Cantabria [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724021
        </catValu>
        <labl>
          País Vasco [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724022
        </catValu>
        <labl>
          Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724023
        </catValu>
        <labl>
          La Rioja [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724024
        </catValu>
        <labl>
          Aragón [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724030
        </catValu>
        <labl>
          Comunidad de Madrid [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724041
        </catValu>
        <labl>
          Castilla y León [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724042
        </catValu>
        <labl>
          Castilla-La Mancha [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724043
        </catValu>
        <labl>
          Extremadura [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724051
        </catValu>
        <labl>
          Cataluña [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724052
        </catValu>
        <labl>
          Comunidad Valenciana [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724053
        </catValu>
        <labl>
          Illes Balears [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724061
        </catValu>
        <labl>
          Andalucía [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724062
        </catValu>
        <labl>
          Región de Murcia [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724063
        </catValu>
        <labl>
          Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724064
        </catValu>
        <labl>
          Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724070
        </catValu>
        <labl>
          Canarias [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724099
        </catValu>
        <labl>
          Unknown [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728071
        </catValu>
        <labl>
          Upper Nile [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728072
        </catValu>
        <labl>
          Jonglei [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728073
        </catValu>
        <labl>
          Unity [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728081
        </catValu>
        <labl>
          Warrap [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728082
        </catValu>
        <labl>
          Northern Bahr El Ghazal [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728083
        </catValu>
        <labl>
          Western Bahr El Ghazal [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728084
        </catValu>
        <labl>
          Lakes [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728091
        </catValu>
        <labl>
          Western Equatoria [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728092
        </catValu>
        <labl>
          Central Equatoria [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728093
        </catValu>
        <labl>
          Eastern Equatoria [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729011
        </catValu>
        <labl>
          Northern [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729012
        </catValu>
        <labl>
          Nahr El Nil [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729021
        </catValu>
        <labl>
          Red Sea [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729022
        </catValu>
        <labl>
          Kassala [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729023
        </catValu>
        <labl>
          Al Gedarif [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729031
        </catValu>
        <labl>
          Khartoum [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729041
        </catValu>
        <labl>
          Al Gezira [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729042
        </catValu>
        <labl>
          White Nile [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729043
        </catValu>
        <labl>
          Sinnar [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729044
        </catValu>
        <labl>
          Blue Nile [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729051
        </catValu>
        <labl>
          North Kordofan [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729052
        </catValu>
        <labl>
          South Kordofan [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729061
        </catValu>
        <labl>
          North Darfur [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729062
        </catValu>
        <labl>
          West Darfur [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729063
        </catValu>
        <labl>
          South Darfur [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756001
        </catValu>
        <labl>
          Zurich [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756002
        </catValu>
        <labl>
          Bern [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756003
        </catValu>
        <labl>
          Luzern (Lucerne) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756004
        </catValu>
        <labl>
          Uri [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756005
        </catValu>
        <labl>
          Schwyz [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756006
        </catValu>
        <labl>
          Obwalden (Obwald) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756007
        </catValu>
        <labl>
          Nidwalden (Nidwald) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756008
        </catValu>
        <labl>
          Glarus [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756009
        </catValu>
        <labl>
          Zug [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756010
        </catValu>
        <labl>
          Fribourg [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756011
        </catValu>
        <labl>
          Solothurn [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756012
        </catValu>
        <labl>
          Basel-Stadt (Basel-City) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756013
        </catValu>
        <labl>
          Basel-Landschaft (Basel-Country) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756014
        </catValu>
        <labl>
          Schaffhausen [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756015
        </catValu>
        <labl>
          Outer and Inner Rhodes [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756017
        </catValu>
        <labl>
          St. Gallen (St. Gall) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756018
        </catValu>
        <labl>
          Graubundun (Grisons) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756019
        </catValu>
        <labl>
          Aargau (Argovia) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756020
        </catValu>
        <labl>
          Thurgau (Thurgovia) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756021
        </catValu>
        <labl>
          Ticino [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756022
        </catValu>
        <labl>
          Vaud [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756023
        </catValu>
        <labl>
          Valais [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756024
        </catValu>
        <labl>
          Neuchatel [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756025
        </catValu>
        <labl>
          Geneva [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756026
        </catValu>
        <labl>
          Jura [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764010
        </catValu>
        <labl>
          Bangkok [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764011
        </catValu>
        <labl>
          Samut Prakan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764012
        </catValu>
        <labl>
          Nonthaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764013
        </catValu>
        <labl>
          Pathum Thani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764014
        </catValu>
        <labl>
          Phra Nakhon si Ayutthaya [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764015
        </catValu>
        <labl>
          Ang Thong [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764016
        </catValu>
        <labl>
          Lop Buri [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764017
        </catValu>
        <labl>
          Sing Buri [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764018
        </catValu>
        <labl>
          Chai Nat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764019
        </catValu>
        <labl>
          Prachin Buri and Sa Kaeo [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764020
        </catValu>
        <labl>
          Chon buri [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764021
        </catValu>
        <labl>
          Rayong [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764022
        </catValu>
        <labl>
          Chanthaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764023
        </catValu>
        <labl>
          Trat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764024
        </catValu>
        <labl>
          Chachoengsao [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764026
        </catValu>
        <labl>
          Nakhon Nayok [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764027
        </catValu>
        <labl>
          Saraburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764030
        </catValu>
        <labl>
          Nakhon Ratchasima [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764031
        </catValu>
        <labl>
          Buri Ram [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764032
        </catValu>
        <labl>
          Surin [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764033
        </catValu>
        <labl>
          Si Sa Ket [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764034
        </catValu>
        <labl>
          Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764036
        </catValu>
        <labl>
          Chaiyaphum [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764040
        </catValu>
        <labl>
          Khon Kaen [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764041
        </catValu>
        <labl>
          Udon Thani and Nong Bua Lam Phu [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764042
        </catValu>
        <labl>
          Loei [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764043
        </catValu>
        <labl>
          Nong Khai [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764044
        </catValu>
        <labl>
          Maha Sarakham [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764045
        </catValu>
        <labl>
          Roi Et [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764046
        </catValu>
        <labl>
          Kalasin [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764047
        </catValu>
        <labl>
          Sakon Nakhon [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764048
        </catValu>
        <labl>
          Nakhon Phanom and Mukdahan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764050
        </catValu>
        <labl>
          Chiang Mai [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764051
        </catValu>
        <labl>
          Lamphun [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764052
        </catValu>
        <labl>
          Lampang [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764053
        </catValu>
        <labl>
          Uttaradit [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764054
        </catValu>
        <labl>
          Phrae [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764055
        </catValu>
        <labl>
          Nan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764057
        </catValu>
        <labl>
          Chiang Rai and Phayao [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764058
        </catValu>
        <labl>
          Mae Hong Son [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764060
        </catValu>
        <labl>
          Nakhon Sawan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764061
        </catValu>
        <labl>
          Uthai Thani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764062
        </catValu>
        <labl>
          Kamphaeng Phet [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764063
        </catValu>
        <labl>
          Tak [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764064
        </catValu>
        <labl>
          Sukhothai [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764065
        </catValu>
        <labl>
          Phitsanulok [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764066
        </catValu>
        <labl>
          Phichit [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764067
        </catValu>
        <labl>
          Phetchabun [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764070
        </catValu>
        <labl>
          Ratchaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764071
        </catValu>
        <labl>
          Kanchanaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764072
        </catValu>
        <labl>
          Suphanburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764073
        </catValu>
        <labl>
          Nakhon Pathom [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764074
        </catValu>
        <labl>
          Samut Sakhon [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764075
        </catValu>
        <labl>
          Samut Songkhram [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764076
        </catValu>
        <labl>
          Phetchaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764077
        </catValu>
        <labl>
          Prachuap Khiri Khan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764080
        </catValu>
        <labl>
          Nakhon Si Thammarat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764081
        </catValu>
        <labl>
          Krabi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764082
        </catValu>
        <labl>
          Phangnga [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764083
        </catValu>
        <labl>
          Phuket [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764084
        </catValu>
        <labl>
          Surat Thani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764085
        </catValu>
        <labl>
          Ranong [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764086
        </catValu>
        <labl>
          Chumphon [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764090
        </catValu>
        <labl>
          Songkhla [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764091
        </catValu>
        <labl>
          Satun [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764092
        </catValu>
        <labl>
          Trang [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764093
        </catValu>
        <labl>
          Phatthalung [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764094
        </catValu>
        <labl>
          Pattani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764095
        </catValu>
        <labl>
          Yala [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764096
        </catValu>
        <labl>
          Narathiwat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792001
        </catValu>
        <labl>
          Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792002
        </catValu>
        <labl>
          Adiyaman [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792003
        </catValu>
        <labl>
          Afyon [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792004
        </catValu>
        <labl>
          Agri [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792005
        </catValu>
        <labl>
          Amasya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792006
        </catValu>
        <labl>
          Ankara and Kirikkale [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792007
        </catValu>
        <labl>
          Antalya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792008
        </catValu>
        <labl>
          Artvin [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792009
        </catValu>
        <labl>
          Aydin [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792010
        </catValu>
        <labl>
          Balikesir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792011
        </catValu>
        <labl>
          Bilecik [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792012
        </catValu>
        <labl>
          Bingöl [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792013
        </catValu>
        <labl>
          Bitlis [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792014
        </catValu>
        <labl>
          Bolu and Düzce [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792015
        </catValu>
        <labl>
          Burdur [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792017
        </catValu>
        <labl>
          Çanakkale [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792019
        </catValu>
        <labl>
          Çorum [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792020
        </catValu>
        <labl>
          Denizli [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792021
        </catValu>
        <labl>
          Diyarbakir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792022
        </catValu>
        <labl>
          Edirne [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792023
        </catValu>
        <labl>
          Elazig [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792024
        </catValu>
        <labl>
          Erzincan [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792025
        </catValu>
        <labl>
          Erzurum [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792026
        </catValu>
        <labl>
          Eskisehir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792028
        </catValu>
        <labl>
          Giresun [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792029
        </catValu>
        <labl>
          Gümüshane and Bayburt [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792031
        </catValu>
        <labl>
          Hatay [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792032
        </catValu>
        <labl>
          Isparta [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792033
        </catValu>
        <labl>
          Mersin (içel) [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792034
        </catValu>
        <labl>
          Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792035
        </catValu>
        <labl>
          Izmir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792036
        </catValu>
        <labl>
          Kars, Ardahan and Igdir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792037
        </catValu>
        <labl>
          Kastamonu [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792038
        </catValu>
        <labl>
          Kayseri [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792039
        </catValu>
        <labl>
          Kirklareli [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792040
        </catValu>
        <labl>
          Kirsehir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792042
        </catValu>
        <labl>
          Konya and Karaman [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792043
        </catValu>
        <labl>
          Kütahya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792044
        </catValu>
        <labl>
          Malatya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792045
        </catValu>
        <labl>
          Manisa [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792046
        </catValu>
        <labl>
          Kahramanmaras [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792047
        </catValu>
        <labl>
          Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792048
        </catValu>
        <labl>
          Mugla [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792049
        </catValu>
        <labl>
          Mus [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792050
        </catValu>
        <labl>
          Nevsehir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792051
        </catValu>
        <labl>
          Nigde and Aksaray [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792052
        </catValu>
        <labl>
          Ordu [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792053
        </catValu>
        <labl>
          Rize [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792054
        </catValu>
        <labl>
          Sakarya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792055
        </catValu>
        <labl>
          Samsun [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792057
        </catValu>
        <labl>
          Sinop [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792058
        </catValu>
        <labl>
          Sivas [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792059
        </catValu>
        <labl>
          Tekirdag [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792060
        </catValu>
        <labl>
          Tokat [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792061
        </catValu>
        <labl>
          Trabzon [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792062
        </catValu>
        <labl>
          Tunceli [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792063
        </catValu>
        <labl>
          Sanliurfa [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792064
        </catValu>
        <labl>
          Usak [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792065
        </catValu>
        <labl>
          Van [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792066
        </catValu>
        <labl>
          Yozgat [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792067
        </catValu>
        <labl>
          Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800101
        </catValu>
        <labl>
          Kalangala [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800102
        </catValu>
        <labl>
          Kampala [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800103
        </catValu>
        <labl>
          Kiboga [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800104
        </catValu>
        <labl>
          Luwero and Nakasongola [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800105
        </catValu>
        <labl>
          Masaka and Sembabule [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800107
        </catValu>
        <labl>
          Mubende [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800108
        </catValu>
        <labl>
          Mukono and Kayunga [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800110
        </catValu>
        <labl>
          Rakai [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800113
        </catValu>
        <labl>
          Mpigi and Wakiso [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800203
        </catValu>
        <labl>
          Iganga, Buguri, and Mayuge [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800204
        </catValu>
        <labl>
          Jinja [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800205
        </catValu>
        <labl>
          Kamuli [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800206
        </catValu>
        <labl>
          Kapchorwa [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800208
        </catValu>
        <labl>
          Kumi [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800209
        </catValu>
        <labl>
          Mbale and Sironko [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800210
        </catValu>
        <labl>
          Pallisa [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800211
        </catValu>
        <labl>
          Soroti, Katakwi, and Kaberamaido [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800212
        </catValu>
        <labl>
          Busia and Troro [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800301
        </catValu>
        <labl>
          Moyo and Adjumani [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800302
        </catValu>
        <labl>
          Apac [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800303
        </catValu>
        <labl>
          Arua and Yumbe [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800304
        </catValu>
        <labl>
          Gulu [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800306
        </catValu>
        <labl>
          Kotido [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800307
        </catValu>
        <labl>
          Lira [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800308
        </catValu>
        <labl>
          Moroto and Nakapiripirit [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800310
        </catValu>
        <labl>
          Nebbi [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800312
        </catValu>
        <labl>
          Kitgum and Pader [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800401
        </catValu>
        <labl>
          Bundibugyo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800403
        </catValu>
        <labl>
          Hoima [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800404
        </catValu>
        <labl>
          Kabale [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800405
        </catValu>
        <labl>
          Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800406
        </catValu>
        <labl>
          Kasese [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800407
        </catValu>
        <labl>
          Kibaale [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800408
        </catValu>
        <labl>
          Kisoro [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800409
        </catValu>
        <labl>
          Masindi [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800410
        </catValu>
        <labl>
          Bushenyi, Mbarara, and Ntungamo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800412
        </catValu>
        <labl>
          Rukungiri and Kanungu [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800999
        </catValu>
        <labl>
          Unknown [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804001
        </catValu>
        <labl>
          The Autonomous Republic of Crimea [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804005
        </catValu>
        <labl>
          Vinnytska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804007
        </catValu>
        <labl>
          Volynska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804012
        </catValu>
        <labl>
          Dnipropetrovska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804014
        </catValu>
        <labl>
          Donetska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804018
        </catValu>
        <labl>
          Zhytomyrska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804021
        </catValu>
        <labl>
          Zakarpatska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804023
        </catValu>
        <labl>
          Zaporizka oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804026
        </catValu>
        <labl>
          Ivano-Frankivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804032
        </catValu>
        <labl>
          Kyivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804035
        </catValu>
        <labl>
          Kirovohradska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804044
        </catValu>
        <labl>
          Luhanska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804046
        </catValu>
        <labl>
          Lvivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804048
        </catValu>
        <labl>
          Mykolaivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804051
        </catValu>
        <labl>
          Odeska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804053
        </catValu>
        <labl>
          Poltavska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804056
        </catValu>
        <labl>
          Rivnenska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804059
        </catValu>
        <labl>
          Sumska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804061
        </catValu>
        <labl>
          Ternopilska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804063
        </catValu>
        <labl>
          Kharkivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804065
        </catValu>
        <labl>
          Khersonska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804068
        </catValu>
        <labl>
          Khmelnytska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804071
        </catValu>
        <labl>
          Cherkaska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804073
        </catValu>
        <labl>
          Chernivetska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804074
        </catValu>
        <labl>
          Chernihivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804080
        </catValu>
        <labl>
          Kyiv [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804085
        </catValu>
        <labl>
          Sevastopol [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818001
        </catValu>
        <labl>
          Cairo [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818002
        </catValu>
        <labl>
          Alexandria [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818003
        </catValu>
        <labl>
          Port Said [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818004
        </catValu>
        <labl>
          Suez [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818011
        </catValu>
        <labl>
          Damietta [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818012
        </catValu>
        <labl>
          Dakahlia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818013
        </catValu>
        <labl>
          Sharkia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818014
        </catValu>
        <labl>
          Kaliobia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818015
        </catValu>
        <labl>
          Kafr Sheikh [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818016
        </catValu>
        <labl>
          Gharbia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818017
        </catValu>
        <labl>
          Menoufia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818018
        </catValu>
        <labl>
          Behera [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818019
        </catValu>
        <labl>
          Ismailia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818021
        </catValu>
        <labl>
          Giza [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818022
        </catValu>
        <labl>
          Bani Swif [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818023
        </catValu>
        <labl>
          Fayoum [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818024
        </catValu>
        <labl>
          Menia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818025
        </catValu>
        <labl>
          Asiut [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818026
        </catValu>
        <labl>
          Sohag [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818027
        </catValu>
        <labl>
          Qena [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818028
        </catValu>
        <labl>
          Aswan [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818029
        </catValu>
        <labl>
          Luxor [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818031
        </catValu>
        <labl>
          Red Sea [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818032
        </catValu>
        <labl>
          New Valley [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818033
        </catValu>
        <labl>
          Marsa Matroh [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818034
        </catValu>
        <labl>
          North Sinai [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818035
        </catValu>
        <labl>
          South Sinai [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826011
        </catValu>
        <labl>
          North East [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826013
        </catValu>
        <labl>
          North West [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826014
        </catValu>
        <labl>
          Yorkshire and the Humber [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826021
        </catValu>
        <labl>
          East Midlands [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826022
        </catValu>
        <labl>
          West Midlands [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826031
        </catValu>
        <labl>
          East of England [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826032
        </catValu>
        <labl>
          South East and London [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826040
        </catValu>
        <labl>
          South West [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826060
        </catValu>
        <labl>
          Scotland [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826070
        </catValu>
        <labl>
          Wales [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826080
        </catValu>
        <labl>
          Northern Ireland [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834001
        </catValu>
        <labl>
          Dodoma [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834003
        </catValu>
        <labl>
          Kilimanjaro [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834004
        </catValu>
        <labl>
          Tanga [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834005
        </catValu>
        <labl>
          Morogoro [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834006
        </catValu>
        <labl>
          Pwani [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834007
        </catValu>
        <labl>
          Dar es Salaam [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834008
        </catValu>
        <labl>
          Lindi [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834009
        </catValu>
        <labl>
          Mtwara [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834010
        </catValu>
        <labl>
          Ruvumba [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834011
        </catValu>
        <labl>
          Iringa [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834012
        </catValu>
        <labl>
          Mbeya [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834013
        </catValu>
        <labl>
          Singida [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834014
        </catValu>
        <labl>
          Tabora [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834015
        </catValu>
        <labl>
          Rukwa [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834016
        </catValu>
        <labl>
          Kigoma [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834017
        </catValu>
        <labl>
          Shinyanga [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834018
        </catValu>
        <labl>
          Kagera [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834019
        </catValu>
        <labl>
          Mwanza [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834020
        </catValu>
        <labl>
          Mara [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834021
        </catValu>
        <labl>
          Arusha and Manyara [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834051
        </catValu>
        <labl>
          Zanzibar North [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834052
        </catValu>
        <labl>
          Zanzibar South [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834053
        </catValu>
        <labl>
          Zanzibar Town/West [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834054
        </catValu>
        <labl>
          Pemba North [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834055
        </catValu>
        <labl>
          Pemba South [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840001
        </catValu>
        <labl>
          Alabama [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840002
        </catValu>
        <labl>
          Alaska [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840004
        </catValu>
        <labl>
          Arizona [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840005
        </catValu>
        <labl>
          Arkansas [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840006
        </catValu>
        <labl>
          California [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840008
        </catValu>
        <labl>
          Colorado [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840009
        </catValu>
        <labl>
          Connecticut [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840010
        </catValu>
        <labl>
          Delaware [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840011
        </catValu>
        <labl>
          District of Columbia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840012
        </catValu>
        <labl>
          Florida [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840013
        </catValu>
        <labl>
          Georgia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840015
        </catValu>
        <labl>
          Hawaii [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840016
        </catValu>
        <labl>
          Idaho [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840017
        </catValu>
        <labl>
          Illinois [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840018
        </catValu>
        <labl>
          Indiana [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840019
        </catValu>
        <labl>
          Iowa [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840020
        </catValu>
        <labl>
          Kansas [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840021
        </catValu>
        <labl>
          Kentucky [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840022
        </catValu>
        <labl>
          Louisiana [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840023
        </catValu>
        <labl>
          Maine [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840024
        </catValu>
        <labl>
          Maryland [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840025
        </catValu>
        <labl>
          Massachusetts [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840026
        </catValu>
        <labl>
          Michigan [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840027
        </catValu>
        <labl>
          Minnesota [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840028
        </catValu>
        <labl>
          Mississippi [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840029
        </catValu>
        <labl>
          Missouri [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840030
        </catValu>
        <labl>
          Montana [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840031
        </catValu>
        <labl>
          Nebraska [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840032
        </catValu>
        <labl>
          Nevada [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840033
        </catValu>
        <labl>
          New Hampshire [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840034
        </catValu>
        <labl>
          New Jersey [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840035
        </catValu>
        <labl>
          New Mexico [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840036
        </catValu>
        <labl>
          New York [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840037
        </catValu>
        <labl>
          North Carolina [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840038
        </catValu>
        <labl>
          North Dakota [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840039
        </catValu>
        <labl>
          Ohio [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840040
        </catValu>
        <labl>
          Oklahoma [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840041
        </catValu>
        <labl>
          Oregon [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840042
        </catValu>
        <labl>
          Pennsylvania [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840044
        </catValu>
        <labl>
          Rhode Island [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840045
        </catValu>
        <labl>
          South Carolina [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840046
        </catValu>
        <labl>
          South Dakota [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840047
        </catValu>
        <labl>
          Tennessee [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840048
        </catValu>
        <labl>
          Texas [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840049
        </catValu>
        <labl>
          Utah [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840050
        </catValu>
        <labl>
          Vermont [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840051
        </catValu>
        <labl>
          Virginia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840053
        </catValu>
        <labl>
          Washington [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840054
        </catValu>
        <labl>
          West Virginia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840055
        </catValu>
        <labl>
          Wisconsin [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840056
        </catValu>
        <labl>
          Wyoming [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840099
        </catValu>
        <labl>
          State not identified [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854003
        </catValu>
        <labl>
          Boucle du Mouhoun, Cascades, Centre, Centre-Ouest, Centre-Sud, Hauts-Bassins, Plateau Central, Sud-Ouest, Centre-Est, Centre-Nord, Est [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854010
        </catValu>
        <labl>
          Nord [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854012
        </catValu>
        <labl>
          Sahel [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858001
        </catValu>
        <labl>
          Montevideo [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858002
        </catValu>
        <labl>
          Artigas [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858003
        </catValu>
        <labl>
          Canelones [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858004
        </catValu>
        <labl>
          Cerro Largo [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858005
        </catValu>
        <labl>
          Colonia [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858006
        </catValu>
        <labl>
          Durazno [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858007
        </catValu>
        <labl>
          Flores [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858008
        </catValu>
        <labl>
          Florida [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858009
        </catValu>
        <labl>
          Lavalleja [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858010
        </catValu>
        <labl>
          Maldonado [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858011
        </catValu>
        <labl>
          Paysandu [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858012
        </catValu>
        <labl>
          Rio Negro [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858013
        </catValu>
        <labl>
          Rivera [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858014
        </catValu>
        <labl>
          Rocha [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858015
        </catValu>
        <labl>
          Salto [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858016
        </catValu>
        <labl>
          San Jose [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858017
        </catValu>
        <labl>
          Soriano [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858018
        </catValu>
        <labl>
          Tacuarembo [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858019
        </catValu>
        <labl>
          Treinta y Tres [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862001
        </catValu>
        <labl>
          Federal District and Vargas [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862002
        </catValu>
        <labl>
          Amazonas Federal Territory [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862003
        </catValu>
        <labl>
          Anzóategui [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862004
        </catValu>
        <labl>
          Apure [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862005
        </catValu>
        <labl>
          Aragua [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862006
        </catValu>
        <labl>
          Barinas [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862007
        </catValu>
        <labl>
          Bolívar [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862008
        </catValu>
        <labl>
          Carabobo [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862009
        </catValu>
        <labl>
          Cojedes [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862010
        </catValu>
        <labl>
          Amacuros Delta Federal Territory [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862011
        </catValu>
        <labl>
          Falcón [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862012
        </catValu>
        <labl>
          Guárico [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862013
        </catValu>
        <labl>
          Lara [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862014
        </catValu>
        <labl>
          Mérida [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862015
        </catValu>
        <labl>
          Miranda [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862016
        </catValu>
        <labl>
          Monagas [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862017
        </catValu>
        <labl>
          Nueva Esparta and Federal Dependencies [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862018
        </catValu>
        <labl>
          Portuguesa [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862019
        </catValu>
        <labl>
          Sucre [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862020
        </catValu>
        <labl>
          Táchira [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862021
        </catValu>
        <labl>
          Trujillo [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862022
        </catValu>
        <labl>
          Yaracuy [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862023
        </catValu>
        <labl>
          Zulia [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894001
        </catValu>
        <labl>
          Central [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894002
        </catValu>
        <labl>
          Copperbelt [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894003
        </catValu>
        <labl>
          Eastern, Muchinga, and Northern [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894004
        </catValu>
        <labl>
          Luapula [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894005
        </catValu>
        <labl>
          Lusaka [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894008
        </catValu>
        <labl>
          North Western [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894009
        </catValu>
        <labl>
          Southern [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894010
        </catValu>
        <labl>
          Western [Province: Zambia]
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="GEO1A_CM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="53" width="6" RecSegNo="1"/>
      <labl>
        Province, Cameroon [Level 1; consistent boundaries over time]
      </labl>
      <valrng>
        <range UNITS="REAL" min="120002" max="120010"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1A_CM identifies the household's province within Cameroon, which is the major administrative level of the country. GEO1A_CM is spatially harmonized accounting for political boundary changes across census years.  Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1A_CM codes can be downloaded from the  GIS Boundary files  page in the IPUMS International web site.

Lower level geographical units can be found in the variables  GEO2B_CM  and  ARRNDCM . Other geography variables include GEO1B_CM.]]>
      </txt>
      <catgry>
        <catValu>
          120002
        </catValu>
        <labl>
          Centre and Sud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120003
        </catValu>
        <labl>
          Est
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120004
        </catValu>
        <labl>
          Nord, Adamoua , and Extrème Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120005
        </catValu>
        <labl>
          Littoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120007
        </catValu>
        <labl>
          Nord Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120008
        </catValu>
        <labl>
          Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120010
        </catValu>
        <labl>
          Sud Ouest
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="GEO1B_CM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Province, Cameroon [Level 1; inconsistent boundaries, harmonized by name]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1B_CM identifies the household's province within Cameroon, which is the major administrative level of the country. GEO1B_CM is harmonized solely based on the names of the geographical unit.  It does not take into account the changes that may have occurred in the political boundaries of the units.  A GIS map (in shapefile format), corresponding to the most recent census year can be downloaded from the  GIS Boundary files  page in the IPUMS International web site.

Lower level geographical units can be found in the variable GEO2B_CM (departments) and  ARRNDCM  (districts).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Adamoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Est
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Extrème Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Littoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nord Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Sud Ouest
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="GEO2B_CM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="57" width="2" RecSegNo="1"/>
      <labl>
        Department, Cameroon [Level 2; inconsistent boundaries, harmonized by name]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="62"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO2B_CM identifies the department within Cameroon in which the household was enumerated. It is the second-largest-scale geographic identifier available in the Cameroon samples. GEO2B_CM is harmonized solely based on the names of the geographical unit. It does not take into account the changes that may have occurred in the political boundaries of the units.

Provinces are the major administrative level for the country; they are available in GEO1A_CM . Lower level geographic units (districts) are available in  ARRNDCM . Other geography variables include GEO1B_CM.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Faro et Deo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mayo Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mbere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Vina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Haute Sanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lekié
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mbam et Inoubou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mbam et Kim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mefou et Afamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Mefou et Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mfoundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nyong et Kelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nyong et Mfoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyong et So'o
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Boumba et Ngoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Haut Nyong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kadey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Lom et Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Diamare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Logone et Chari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Mayo Danay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Mayo Kani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Mayo Sava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Mayo Tsanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Moungo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sanaga Maritime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Wouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Benoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Faro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Mayo Louti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Mayo Rey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Boyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Bui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Donga Mantung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Menchum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Mezam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Momo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Ngo Ketungja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Bamboutos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Haut Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Hauts Plateaux
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Koung Khi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Menoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Mifi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Nde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Noun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Dja et Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mvilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Océan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Vallée du Ntem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Fako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Koupe et Manengouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Lebialem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Manyu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Meme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Ndian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Adamaoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Margui-Wandala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Bamoun
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="ARRNDCM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="61" width="4" RecSegNo="1"/>
      <labl>
        Arrondissement, Cameroon
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="5899"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ARRNDCM identifies the arrondissement (subdivision) of residence of the household within Cameroon. It is the third-largest geographic identifier available in the Cameroon samples. ARRNDCM is harmonized solely based on the names of the geographical unit. It does not take into account the changes that may have occurred in the political boundaries of the units. 

Arrondissements with a population under 20,000 are grouped together within the same province for confidentiality purposes.

Larger geographic units for Cameroon are reported in the variables GEO1A_CM for provinces and GEO2B_CM for departments. Other geography variables include GEO1B_CM.]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Other districts in Fare et Deo Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Other districts in Mayo Banyo Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          Other districts in Mbere Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          Districts in Vina Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          Other districts in Haute Sanaga Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Saa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Other districts in Lekié Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Other districts in Mbam and Inoubou Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Other districts in Mbam and Kim Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1099
        </catValu>
        <labl>
          Other districts in Mefou and Afamba Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1199
        </catValu>
        <labl>
          Other districts in Mefou and Akono Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1399
        </catValu>
        <labl>
          Other districts in Nyong and Kelle Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1499
        </catValu>
        <labl>
          Other districts in Nyong and Mfoumou Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1599
        </catValu>
        <labl>
          Other districts in Nyong and So'o Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1699
        </catValu>
        <labl>
          Other districts in Bouba and Ngoko Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1706
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1707
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1708
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1709
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1799
        </catValu>
        <labl>
          Other districts in Haut Nyong Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1899
        </catValu>
        <labl>
          Other districts in Kadey Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          Other Districts in Lom and Djerem Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2199
        </catValu>
        <labl>
          Other districts in Logone and Chari Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2604
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2605
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2606
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2607
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2608
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2609
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2699
        </catValu>
        <labl>
          Other districts in Moungo Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2799
        </catValu>
        <labl>
          Districts in Nkam Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Ngambe or Bambini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2899
        </catValu>
        <labl>
          Other districts in Sanaga Maritime Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2999
        </catValu>
        <labl>
          Other districts in Wouri Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Bibemi and Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3005
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3006
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3007
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3008
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3009
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Tchollire or Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3499
        </catValu>
        <labl>
          Other districts in Boyo Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3501
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3502
        </catValu>
        <labl>
          Kumbo and Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3503
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3504
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3505
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3601
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3602
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3603
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3604
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3605
        </catValu>
        <labl>
          Donga Matung department, district unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3701
        </catValu>
        <labl>
          Fungom and Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3702
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3703
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3704
        </catValu>
        <labl>
          Menchum department district unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3801
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3802
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3803
        </catValu>
        <labl>
          Bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3804
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3805
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3901
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3902
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3903
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3999
        </catValu>
        <labl>
          Other districts in Momo Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4001
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4002
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4003
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4004
        </catValu>
        <labl>
          Banjoun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4299
        </catValu>
        <labl>
          Other districts in Haut Nkam Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4399
        </catValu>
        <labl>
          Other districts in Hauts Plateaux Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4499
        </catValu>
        <labl>
          Other districts in Koung Khi Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Dschang and Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4601
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4602
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4603
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4604
        </catValu>
        <labl>
          Penka-Michel or Bansoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4701
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4799
        </catValu>
        <labl>
          Other districts in Nde Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4801
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4802
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4803
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4804
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4805
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4806
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4807
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4808
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4901
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4902
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4903
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4904
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4999
        </catValu>
        <labl>
          Other districts in Dja and Lobo Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5099
        </catValu>
        <labl>
          Other districts in Mvilla Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5101
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5102
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5199
        </catValu>
        <labl>
          Other districts in Océan Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5201
        </catValu>
        <labl>
          Ambam and Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5202
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5301
        </catValu>
        <labl>
          Buea and West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5302
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5303
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5304
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5305
        </catValu>
        <labl>
          Victoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5401
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5402
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5403
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5501
        </catValu>
        <labl>
          Alou and Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5502
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5601
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5602
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5603
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5604
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5701
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5702
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5703
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5801
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5802
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5899
        </catValu>
        <labl>
          Other districts in Ndian Department
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="OWNRSHP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Ownership of dwelling [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OWNRSHP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="OWNRSHPD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        Ownership of dwelling [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OWNRSHP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Owned, already paid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Owned, still paying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Owned, constructed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Owned, inherited
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Owned, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Owned, house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Owned, condominium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Apartment proprietor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Shared ownership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Not owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Renting, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Renting, government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Renting, local authority
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Renting, parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Renting, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Renting, private company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Renting, individual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Renting, collective
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Renting, joint state and individual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Renting, public subsidized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Renting, private subsidized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Renting, co-tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Renting, relative of tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Renting, cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Renting, with a job or business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Renting, loan-backed habitation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Renting, mixed contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Furnished dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Sharecropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Subletting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Rent to own
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Renting, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Occupied de facto/squatting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Free/usufruct (no cash rent)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Free, provided by employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Free, without work or services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Free, provided by family or friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Free, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Free, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Free, condemned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Free, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Not owned, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="INTMIG1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Number of international migrants
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No migrants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="ELECTRC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Electricity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELECTRC indicates whether the household had access to electricity.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="SEWAGE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Sewage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEWAGE indicates whether the household has access to a sewage system or septic tank.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Connected to sewage system or septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sewage system (public sewage disposal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Septic tank (private sewage disposal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not connected to sewage disposal system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="FUELCK" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Cooking fuel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FUELCK indicates the predominant type of fuel or energy used for cooking.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Petroleum gas, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Gas -- piped/utility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Gas -- tanked or bottled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Propane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Liquefied petroleum gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Petroleum liquid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Oil, kerosene, and other liquid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Kerosene/paraffin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Kerosene or oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Kerosene or gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Cocinol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Wood, coal, and other solid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wood and other plant fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Non-wood plant materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Coal or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Wood or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Multiple fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Bottled gas and wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Propane and electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Propane, kerosene, and electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Propane and kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kerosene and electrictiy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Other combinations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Discarded or waste material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Dung/manure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Dung or grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Solar energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Candle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="TRASH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Trash disposal
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Collected by a sanitation service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Collected directly from the household or dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Collected indirectly from a garbage container or deposit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Collected by a sanitation service only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Collected by a sanitation service and disposed of in some other manner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Disposed of in some other manner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Burned or buried
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Burned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Buried
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Thrown into street, vacant land, or common area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Thrown into river, lake, ocean, lagoon, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Thrown into canyon or gulley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Dumped in pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Communal refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Own refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Authorized refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Illegal refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Other dumping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          In the fields
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Fed to animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Composted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Heap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Garden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other, none
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="BEDRMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Number of bedrooms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDRMS indicates the number of rooms available to members of the household for sleeping.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No bedrooms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="TOILET" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        Toilet
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Have toilet, type not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Non-flush, latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Non-flush, other and unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="FLOOR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="81" width="3" RecSegNo="1"/>
      <labl>
        Floor material
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FLOOR indicates the dwelling's predominant flooring material.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None/unfinished (earth)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Cement, tile, or brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Cement screed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Ceramic tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Paving stone, cement tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Brick or stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Brick or cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Terrazzo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Palm, bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Parquet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Parquet, tile, vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Parquet, tile, marble
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ceramic, marble, granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Ceramic, marble, tile, or vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Marble
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Tile, linoleum, ceramic, etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Tile, cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Tile, stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Tile, stone, brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Tile, stone, vinyl, brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Tile, vinyl, brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Tile, vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Vinyl, linoleum, etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Asphalt sheet, vinyl, etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Synthetic, plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Carpet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Scrap material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Other finished, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="WALL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="84" width="3" RecSegNo="1"/>
      <labl>
        Wall or building material
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          No walls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Cardboard, scrap, and miscellaneous materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Waste, scrap, or discarded material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Fabric or discarded material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Zinc, fabric, cardboard, tins, and waste material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Cardboard sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Plastic sheeting, cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Makeshift, salvaged, or improvised materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Reused materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Rough wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Wood, fibercement or plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Wood, formica, and other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Wood or bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Wood or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other plant-based materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Plantain leaves and similar material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Bamboo or cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Bamboo, sawali, cogon, nipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Straw or bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Grass, straw or reed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          Reed, bamboo, or palm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          Cane, palm leaves, logs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Palm leaves or palm planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Brick, block, stone, or cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Brick, stone, concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Brick, stone, or substitutes (dividing panels made of reinforced concrete)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Brick, stone, or substitutes (dividing panels made of wood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Brick or tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Brick or stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Brick or cement block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Brick with plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          Brick without plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Burnt or stabilized brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Unburnt brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Unburnt brick with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Unburnt brick with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Landcrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          518
        </catValu>
        <labl>
          Cement blocks or brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Cement blocks or brick, unfinished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Cement and adobe bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Cement and stone block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Concrete, reinforced concrete, blocks, panels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Adobe walls with plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Adobe walls without plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          Adobe with cement exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Adobe (tabique, quinche)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Wood and earth adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Wood and cement adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Mud or adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Pressed dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Coated clay/mud with sticks/cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Clay or clay-covered sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          536
        </catValu>
        <labl>
          Netted bamboo or cane with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          537
        </catValu>
        <labl>
          Bundle of mud, straw, other materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          538
        </catValu>
        <labl>
          Mud with wood/wattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          Pole and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Mud with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Unfinished lathe and plaster, stucco, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          Hand-laid stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          Quarried stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          545
        </catValu>
        <labl>
          Cut stone and concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <labl>
          Cemented stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          547
        </catValu>
        <labl>
          Stone with clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Blocks of light material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          Prefabricated material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Metal or asbestos sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Metal or iron sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          Metal or fibercement sheeting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          Galvanized iron or aluminum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          Glass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          Cloth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Covintec panels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Mixed material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Mixed material: part wood; part concrete, brick, or stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Mainly permanent materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="ROOF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Roof material
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the dwelling's predominant roofing material.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Masonry, concrete, clay tile, or tiles of unspecified type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Concrete or cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Reinforced concrete (slab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Cement or sheet metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tile, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Clay tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tile or cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Modern tiles, industrial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Traditional tiles, locally made
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tile or flat stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Fibercement or plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Asphalt or laminate cover
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Tile, cement, asphalt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Asphalt tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Slate or tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Slate or asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Tiles or wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Roofing shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Sheet metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Zinc or tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Sheet metal or other sheet material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Sheet metal, tile, slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Wood and other plant materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Wood, including bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Cogon, nipa, anahaw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Thatch (straw, grass, leaves, palm, etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Cane, wood, straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Papyrus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Banana leaves or fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Palm or makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Plant material with clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Grass and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Straw, bamboo, polythene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Rustic mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Mud or earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Cardboard, scrap, and miscellaneous materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Discarded or scrap material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="MORTNUM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Number of deaths in household last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MORTNUM indicates the number of deaths in the household in the past year.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 deaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 deaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 deaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 deaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 deaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 or more deaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="ANYMORT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        Any deaths in household last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANYMORT indicates whether there were any deaths in the household in the past year.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="HHTYPE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        Household classification
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHTYPE is a constructed variable that describes the composition of households. 
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One-person household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married/cohab couple, no children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married/cohab couple with children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Polygamous family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Extended family, relatives only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Composite household, family and non-relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Non-family household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unclassified subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other relative or non-relative household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unclassifiable
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="NFAMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Number of families in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.  

NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).  See those variable descriptions for more detail.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more families
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="NCOUPLS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        Number of married couples in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NCOUPLS is a constructed variable indicating the number of married/in-union couples within a household.  

NCOUPLS is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No married couples in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 couple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more couples
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="NMOTHRS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Number of mothers in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NMOTHRS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.

NMOTHRS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No mothers in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more mothers in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="NFATHRS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Number of fathers in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NFATHRS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.

NFATHRS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No fathers in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more fathers in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="CM05A001" files="F1" dcml="0" intrvl="contin">
      <location StartPos="95" EndPos="101" width="7" RecSegNo="1"/>
      <labl>
        Dwelling number
      </labl>
      <qstn>
        <qstnLit>
          Dwelling number
        </qstnLit>
      </qstn>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the household dwelling number.
      </txt>
      <codInstr>
        This is a 7-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="CM05A022" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="103" width="2" RecSegNo="1"/>
      <labl>
        Province
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

 1. Identification and location of household




Province _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
1.1 Some useful definitions

Province: The province is the largest administrative subdivision of Cameroon.  The county has 10: Adamaoua; Center; East; Far North; Littoral; North, North-west; West; South; and South-west.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the household's province.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Adamoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Est
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Extrème Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Littoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nord Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Sud Ouest
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="CM05A023" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="105" width="2" RecSegNo="1"/>
      <labl>
        Department or division
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

 1. Identification and location of household




Department/division _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Department: This is a territorial unit just below the province.  Cameroon has 58.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="58"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the geographic department or division.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Faro et Deo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mayo Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mbere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Vina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Haute Sanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lekié
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mbam et Inoubou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mbam et Kim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mefou et Afamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Mefou et Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mfoundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nyong et Kelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nyong et Mfoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyong et So'o
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Boumba et Ngoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Haut Nyong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kadey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Lom et Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Diamare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Logone et Chari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Mayo Danay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Mayo Kani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Mayo Sava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Mayo Tsanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Moungo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sanaga Maritime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Wouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Benoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Faro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Mayo Louti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Mayo Rey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Boyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Bui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Donga Mantung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Menchum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Mezam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Momo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Ngo Ketungja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Bamboutos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Haut Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Hauts Plateaux
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Koung Khi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Menoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Mifi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Nde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Noun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Dja et Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mvilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Océan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Vallée du Ntem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Fako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Koupe et Manengouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Lebialem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Manyu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Meme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Ndian
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="CM05A028" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="106" width="1" RecSegNo="1"/>
      <labl>
        Urban
      </labl>
      <qstn>
        <qstnLit>
          Urban
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Residential environment: This includes urban environments and rural environments.  The urban environment is all the higher defined cities together; all the villages grouped together make up a rural environment.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household is located in an urban or rural area.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="CM05A033" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <qstnLit>
          Household type
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Standard household: A standard household is a person or a group of people related or not, living in the same housing unit, often taking their meals together and working together on the other essential needs.  This group generally recognizes the authority of one person who is called the Head of Household.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="10" max="40"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of household.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Ordinary household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other collective households
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Boarding school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Religious institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Military barracks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Orphanage, refugee camp, hospice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Nomadic household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Apparently homeless
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="CM05A041" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="111" width="3" RecSegNo="1"/>
      <labl>
        Present residents
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

3. Summary table





Present residents


_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Physically present population
The physically present population is the sum of the "Total Residents Present" + "Total Visitors"

- Mark the result of this addition in its properly reserved space



Legal population
The legal population is the sum of the "Total Residents Present" + "Total Residents absent"

- Mark the result of this addition in its properly reserved space]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="100"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of present residents of the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="CM05A042" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="113" width="2" RecSegNo="1"/>
      <labl>
        Absent residents
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

3. Summary table





Absent residents


_ _Male
_ _Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Physically present population
The physically present population is the sum of the "Total Residents Present" + "Total Visitors"

- Mark the result of this addition in its properly reserved space



Legal population
The legal population is the sum of the "Total Residents Present" + "Total Residents absent"

- Mark the result of this addition in its properly reserved space]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of absent residents in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="CM05A043" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        Visitors
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

3. Summary table





Visitors


_ _Male
_ _Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Physically present population
The physically present population is the sum of the "Total Residents Present" + "Total Visitors"

- Mark the result of this addition in its properly reserved space



Legal population
The legal population is the sum of the "Total Residents Present" + "Total Residents absent"

- Mark the result of this addition in its properly reserved space]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of visitors in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="CM05A046" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="116" width="1" RecSegNo="1"/>
      <labl>
        Incapacitating illness
      </labl>
      <qstn>
        <qstnLit>
          Incapacitating illness
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether anyone in the household has an incapacitating illness.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="CM05A079" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="118" width="2" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <qstnLit>
          Household type
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the household type.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Singleton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Simple monogamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Simple polygamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Enlarged nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Enlarged polygamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Extended monogamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Extended polygamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Composite monogamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Composite polygamous nuclear family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Simple single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Enlarged single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Extended single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Composite single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Household of persons without core family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Composite household without core family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Complex household without core family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="CM05A080" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="119" width="1" RecSegNo="1"/>
      <labl>
        Lodging type
      </labl>
      <qstn>
        <qstnLit>
          Lodging type
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the lodging type of the dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Luxury housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mid-class housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Low standard housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Improved traditional housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Simple traditional housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Miserable housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other types of housing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unclassifiable structures
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="CM05A081" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="120" width="1" RecSegNo="1"/>
      <labl>
        Type of structure
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

47. Type of structure

[] Isolated house
[] Modern villa
[] Multiple dwelling
[] Building with many apartments
[] Compound or Sare
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Subdivision 5: Housing characteristics

This subdivision provides information on the characteristics of the dwelling of the households.  The answers to the questions that follow are only the Questionnaire number 01 used in the household.


47. Type of structure
The codes for the terms of this variable are:

1-Freestanding house
2-Modern villa
3-House with several accommodations
4-Building with several apartments
5-Religious building
6-Other to specify]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of structure for the household dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Isolated house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Modern villa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Multiple dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Building with many apartments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Compound or sare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="CM05A082" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="121" width="1" RecSegNo="1"/>
      <labl>
        Wall material
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

48. Material of the walls

[] Concrete/cement block/stabilized brick
[] Stone
[] Brick
[] Plank
[] Mud or straw
[] Carabot (Plywood)
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

48. Main material of walls
The codes for the terms of this variable are:

1-Contrete/cinder block/bricks
2-cut stone
3-simple bricks
4-boards
5-clay/adobe
6-carabot (plywood) 
7-Other to specify]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the material of the household walls.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Concrete/cement block/stabilized brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Plank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mud or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Carabot (plywood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="CM05A083" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" width="1" RecSegNo="1"/>
      <labl>
        Roof material
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

49. Material of the roof

[] Zinc
[] Cement or concrete
[] Thatch, grass, straw
[] Tiles
[] Earth
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

49. Main material of roof
The codes of the terms for this variable are:

1-Sheet metal
2-cement
3-straw/thatch 
4-tiles
5-earth
6-Other to specify]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This material indicates the material of the dwelling roof.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Cement or concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Thatch, grass, straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="CM05A084" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="123" width="1" RecSegNo="1"/>
      <labl>
        Floor material
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

50. Material of the floor

[] Cement
[] Tiles
[] Wood
[] Earth
[] Marble
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

50. Main material of floor
The codes of the terms for this variable are:

1-cement
2-tiles
3-wood
4-earth
5-marble
6-other to specify


-Mark in the space indicated the codes corresponding to the answer.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the material of the dwelling floor.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Marble
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="CM05A085" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="124" width="1" RecSegNo="1"/>
      <labl>
        Toilet
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

51. Type of toilet

[] Flushing WC inside
[] Private flushing WC outside
[] Common flushing WC
[] Private latrine
[] Common latrine
[] Nature
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

51. Type of toilet

Q. What type of toilet is available in this dwelling?

The codes of the terms for this variable are:


1-inside toilet with flush
2-private outside toilet with flush
3-communal toilet with flush
4-private latrines
5-communal latrines
6-open air
7-other to specify]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of toilet in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Flushing WC inside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private flushing WC outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Common flushing WC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Private latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Common latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Nature
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="CM05A086" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="126" width="2" RecSegNo="1"/>
      <labl>
        Bedrooms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

52. How many bedrooms are there in this dwelling?

[] 0-1
[] 2
[] 3
[] 4
[] 5
[] 6
[] 7
[] 8
[] 9
[] 10
[] 11+]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

52. Number of bedrooms in the dwelling
This is about the number of rooms regularly used for sleeping.  In some cases, a living room or a kitchen might be considered a bedroom if certain members of the household spend their nights there.

Q. How many bedrooms are in your dwelling?
-Circle the code corresponding to the answer.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of rooms in the dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="CM05A087" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="127" width="1" RecSegNo="1"/>
      <labl>
        Mode of occupancy
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

53. Occupation status of the dwelling

[] Proprietor
[] Renter
[] Hire-purchase
[] Lodged by employer
[] Lodged by parents or friends
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

53. Occupation status of dwelling
The codes of the terms for this variable are:

1-Owner
2-Lease
3-Rent to own
4-Lodged by employer
5-Loged by relatives/friends
6-Other to specify


Q. Does this dwelling belong to the household or is it rented?
-Mark in the indicated space the code corresponding to the answer of the surveyed person]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of tenure in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Renter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Hire-purchase
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Lodged by employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Lodged by parents or friends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="CM05A088" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        Light source
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

54. Main source of energy for lighting

[] Electricity
[] Gas
[] Kerosene
[] Saw dust
[] Firewood or charcoal
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

54. Main method of lighting

1-Electricity
2-Gas
3-Hurricane lamp
4-Shavings/sawdust
5-Burning wood/coal/charcoal
6-Other to specify


Q. What is the main method of lighting in this dwelling?
-Mark in the indicated space the code corresponding to the answer of the surveyed person]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of lighting in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Saw dust
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Firewood or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="CM05A089" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Cooking energy source
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

55. Main source of energy for cooking

[] Electricity
[] Gas
[] Kerosene
[] Saw dust
[] Firewood or charcoal
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

55. Main source of energy for the kitchen
The codes of the terms for this variable are:

1-Electricity
2-Gas
3-Oil
4-Shavings/sawdust
5-Burning wood/coal/charcoal
6-Other to specify



Q. What type of fuel do you most often use to cook?
-Mark in the indicated space the code corresponding to the answer of the surveyed person]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of fuel used for cooking.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Saw dust
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Firewood or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="CM05A090" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="131" width="2" RecSegNo="1"/>
      <labl>
        Source of drinking water
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

56. Main source of drinking water

[] Interior tap
[] Exterior tap
[] Constructed well
[] Non-constructed well
[] Paying public tap
[] River or stream
[] Borelide
[] Mineral water
[] Developed spring
[] Undeveloped spring
[] Lake, pond, marsh
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

56. Main source of drinking water.
The codes of the terms for this variable are:

01-Interior faucet
02-exterior faucet
03-Fixed up well
04-Simple well
05-Paid public fountain
06-stream/river/marshland
07-drilling
08-mineral water
09-fixed up spring
10-Simple spring
11-lake/pond/swamp
12-other to specify


NB: Ask for the origins of the water purchased and record the appropriate term.


Q. Where do you get your drinking water from?
-Mark in the proper space the code corresponding to the response provided.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the source of drinking water.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Interior tap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Exterior tap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Constructed well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Natural well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Paying public tap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          River or stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Borelide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mineral water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Developped spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Undevelopped spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Lake/pond/marsh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="CM05A091" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="132" width="1" RecSegNo="1"/>
      <labl>
        Waste water disposal
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

57. Waste water disposal provisions

[] Septic tanks
[] Courtyard
[] Roadside
[] Bush
[] River or stream
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

57. Mode of evacuating used water
The codes of the terms for this variable are:

1-septic pit
2-courtyard
3-street
4-bushes
5-river/stream
6-other to specify



Q.  Where do you dump used water?
-Mark in the proper space the code corresponding to the response provided.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of waste water disposal in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Courtyard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Roadside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Bush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          River or stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="CM05A092" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        Household waste
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

58. Household waste disposal system

[] Roadside
[] Public dustbin
[] Bush
[] River or stream
[] In pits dug for the purpose
[] Around the dwelling
[] Burning
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

58. Mode of evacuating household waste
The codes of the terms for this variable are:

1-street
2-public receptacle
3-bushes
4-river/stream
5-burial
6-surrounding/nearby the house
7-brun
8- other to specify



Q. Where do you throw away your trash?	
-Mark in the proper space the code corresponding to the response provided.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates how household waste is disposed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Roadside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public dustbin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          River or stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pits dug for this purpose
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Around the dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Burning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="CM05A093" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="135" width="2" RecSegNo="1"/>
      <labl>
        Site of dwelling
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

59. Where is the house situated?

[] Developed slope
[] Natural slope
[] Valley
[] Swampy valley
[] Flat land
[] Hilltop or summit
[] Surrounding of petrol depots
[] Surrounding of polluting factories
[] Airport surrounding
[] Railway surrounding
[] Reclaimed area
[] Surrounding mountains or volcanic lakes
[] Surrounding high tension pole
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

59. Settlement site
The settlement site is the precise location where the structure housing the household is built.  It consists of two elements: the topography and the environmental risks.

The codes of the terms for this variable are:

01-Equiped mountainside: the site of the slope having benefited from development of the building site (Roads System and Public Utilities: Roads, gutters, sewers?) and build according to urban standards.
02-Unequiped mountainside: the site of the slope of the dwellings were constructed in an unregulated manner
03-Shoal: the settlement site is in a valley without any water connection, but presenting risks of flooding by rainwater.
04-Swampy shoal: the settlement site is in a valley with water flow or with a swamp and presenting an elevated risk of flooding
05-Flat zone: settlement site is flat which can present with a risk of flooding during rainy season or by floodwaters; example, flooded plains
06-Peak/summit: settlement site on a hill or a mountain presenting a risk of collapse/fallen rock
07-Near petroleum warehouses: the settlement site if around petroleum warehouses and presents risks in case of fire; example, around cisterns, around gas stations, etc.
08-Near polluting factories: settlement site is close to factories producing liquid, gaseous, or solid toxic waste.  Example: chemical industries, refineries, metallurgic industries, and sawmills
09-Near airport: settlement site is inside the security limits of an airport
10- Near a railway: the settlement site is close to rails and presents risks in the event of a train accident.
11-Drains: Settlement site is close to equipment that channels water and stream and presents a flood risk related to the overflow of water
12-Near mountain or volcanoes
13-Near high-tension power cables
14-Other: All other settlement sites presenting no risk

-Mark in the proper space the code of the response (resulting from your evaluation)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the site of the household dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Developed slope
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Natural slope
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Swampy valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Flat land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Hilltop or summit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Surrounded by petrol depots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Surrounded by polluting factories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          surrounded by airport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Surrounded by railway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Reclaimed area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Surrounded by mountains or volcanic lakes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Surrounded by high tension poles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="CM05A094" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="136" width="1" RecSegNo="1"/>
      <labl>
        Accessibility means
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

60. Main accessibility means

[] Tarred road
[] Earth road
[] Track
[] Path
[] Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

60: Main road access to dwelling
This is about the road the most frequently used to get to the dwelling of the head of household.

-Do not ask this question to members of the household


The codes for the terms for this variable are:

1-Asphalt road
2-Earth road
3-trail
4-path
5-other to specify



-Mark in the proper space the code for the response resulting from your observation]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Ordinary households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the accessibility means of the dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tarred road
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Earth road
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Track
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Path
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="CM05A097" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="137" width="1" RecSegNo="1"/>
      <labl>
        Number of mortality records
      </labl>
      <qstn>
        <qstnLit>
          Number of mortality records
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of mortality records in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="CM05A098" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Number of migration records
      </labl>
      <qstn>
        <qstnLit>
          Number of migration records
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of migration records in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="RECTYPEP" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="1" width="1" RecSegNo="1"/>
      <labl>
        Record type [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 1-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="CNTRYP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="2" EndPos="4" width="3" RecSegNo="1"/>
      <labl>
        Country [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 3-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="YEARP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="5" EndPos="8" width="4" RecSegNo="1"/>
      <labl>
        Year [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 4-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="SAMPLEP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="9" EndPos="12" width="4" RecSegNo="1"/>
      <labl>
        IPUMS sample identifier [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 4-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="SERIAL" files="F2" dcml="0" intrvl="contin">
      <location StartPos="13" EndPos="22" width="10" RecSegNo="1"/>
      <labl>
        Household serial number [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 10-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="PERNUM" files="F2" dcml="0" intrvl="contin">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Person number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
      </txt>
      <codInstr>
        PERNUM is a 3-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="WTPER" files="F2" dcml="2" intrvl="contin">
      <location StartPos="26" EndPos="33" width="8" RecSegNo="1"/>
      <labl>
        Person weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WTPER indicates the number of persons in the actual population represented by the person in the sample.

For the samples that are truly weighted (see the comparability discussion), WTPER must be used to yield accurate statistics for the population.

NOTE: WTPER has 2 implied decimal places.  That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        WTPER is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="RESIDENT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Residence status: de facto, de jure
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents.  It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. 

De jure population: present residents and absent residents.

De facto population: present residents and visitors/non-residents.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Present resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Absent resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Visitor/non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          De facto population (present persons)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="MOMLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="35" EndPos="37" width="3" RecSegNo="1"/>
      <labl>
        Mother's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM).  MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.  

The method by which probable child-mother links are identified is described in PARRULE.

The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.

Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.]]>
      </txt>
      <codInstr>
        <![CDATA[MOMLOC is a 3-digit numeric variable.

		
0 = No mother of this person present in the household.
1 or higher = The person number of this person's mother]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="POPLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="38" EndPos="40" width="3" RecSegNo="1"/>
      <labl>
        Father's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM).  POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.  

The method by which probable child-father links are identified is described in PARRULE.

The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.

Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.]]>
      </txt>
      <codInstr>
        <![CDATA[POPLOC is a 3-digit numeric variable.

		
0 = No father of this person present in the household.
1 or higher = The person number of this person's father]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="SPLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="41" EndPos="43" width="3" RecSegNo="1"/>
      <labl>
        Spouse's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse.  SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.  

The method by which probable spouse-spouse links are identified is described in SPRULE.

The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.]]>
      </txt>
      <codInstr>
        <![CDATA[SPLOC is a 3-digit numeric variable.

		
0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouse]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="PARRULE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Rule for linking parent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="52"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. 

IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.

The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No parent of person in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Link to head or spouse, unambiguous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Link to head or spouse, ambiguous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Child-Grandchild, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Child-Grandchild, within constructed child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Child-Grandchild, exceeds child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Specified Other Relatives, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Specified Other Relatives, within constructed child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Specified Other Relatives, exceeds child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Other Relatives, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Other Relatives, within constructed child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Non-Relatives, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Non-Relatives, within constructed child cap
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="SPRULE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Rule for linking spouse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. 

IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question.  A sixth rule identifies sample-specific linking procedures only imposed in selected instances.

The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No spouse present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rule 1: strong relationship pairing, couple adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rule 2: strong relationship pairing, couple not adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rule 3: weak relationship pairing, couple adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Rule 4: weak relationship pairing, couple not adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rule 5: weak consensual union pairings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Rule 6: sample-specific rules (usually child-to-child)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="STEPMOM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Probable stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
 
The codes for STEPMOM are as follows:

0 = Biological mother or no mother of this person present in household.  
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.

See PARRULE for a description of the linking process.

Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Biological mother or no mother present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mother has no children borne or surviving
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Child reports mother is deceased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Explicitly identified step relationship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mother reports no children in the home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Age difference implausible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Child exceeds known fertility of mother
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="STEPPOP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Probable stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STEPPOP indicates whether a person's father, as identified by  POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
 
The codes for STEPPOP are as follows:

0 = Biological father or no father of this person present in household.  
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 
3 = Age difference between father and child was less than 12 or greater than 54 years.

See PARRULE for a description of the linking process.

Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Biological father or no father present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Child reports father is deceased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Explicitly identified step relationship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Age difference implausible
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="POLYMAL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Man with more than one wife linked
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.  

The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy.  Some statistical matching procedures expect to find only one matching record for each subject record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No more than one wife linked via SPLOC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than one wife linked via SPLOC
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="POLY2ND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Woman is second or higher order wife
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.  The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.

The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy.  Some statistical matching procedures expect to find only one matching record for each subject record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Person is not the 2nd or higher order wife linked via SPLOC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Person is the 2nd or higher order wife linked via SPLOC
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="FAMUNIT" files="F2" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Family unit membership
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMUNIT is a constructed variable indicating to which family within the household a person belongs. 

All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).]]>
      </txt>
      <codInstr>
        <![CDATA[FAMUNIT is a 2-digit numeric variable.

		
If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="FAMSIZE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Number of own family members in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself.  These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.

FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership).  The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 family member present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 family members present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 family members present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 or more persons
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V83" name="NCHILD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Number of own children in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more children in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="NCHLT5" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Number of own children under age 5 in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more own children under age 5 in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="ELDCH" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Age of eldest own child in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 

ELDCH is top-coded at age 50 or older.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No own child in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="YNGCH" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        Age of youngest own child in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 

YNGCH is top-coded at age 50 or older.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No own child in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="RELATE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Relationship to household head [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other relative or non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="RELATED" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="66" width="4" RecSegNo="1"/>
      <labl>
        Relationship to household head [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Unmarried partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Different-sex spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Same-sex spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3010
        </catValu>
        <labl>
          Child (biological status unknown)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Biological child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Adopted child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Stepchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Child/child-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Child/child-in-law/grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Child of unmarried partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Stepchild/child-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Grandchild or great grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Great grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4130
        </catValu>
        <labl>
          Great-great grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Parent/parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Stepparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4230
        </catValu>
        <labl>
          Parent-in-law/stepparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Child-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Daughter-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Spouse/partner of child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4310
        </catValu>
        <labl>
          Unmarried partner of child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Sibling/sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Sibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4420
        </catValu>
        <labl>
          Stepsibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4431
        </catValu>
        <labl>
          Sibling of spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4432
        </catValu>
        <labl>
          Spouse/partner of sibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4500
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4510
        </catValu>
        <labl>
          Great grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4600
        </catValu>
        <labl>
          Parent/grandparent/ascendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4700
        </catValu>
        <labl>
          Aunt/uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4800
        </catValu>
        <labl>
          Other specified relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4810
        </catValu>
        <labl>
          Nephew/niece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4820
        </catValu>
        <labl>
          Cousin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4830
        </catValu>
        <labl>
          Sibling of sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other relative, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4910
        </catValu>
        <labl>
          Other relative with same family name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4920
        </catValu>
        <labl>
          Other relative with different family name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4930
        </catValu>
        <labl>
          Other relative, not specified (secondary family)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          Non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Friend/guest/visitor/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Partner/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Partner/roommate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Housemate/roommate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5140
        </catValu>
        <labl>
          Godparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5150
        </catValu>
        <labl>
          Godchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Domestic employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Relative of employee, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5221
        </catValu>
        <labl>
          Spouse of servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5222
        </catValu>
        <labl>
          Child of servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5223
        </catValu>
        <labl>
          Other relative of servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Roomer/boarder/lodger/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Boarder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5311
        </catValu>
        <labl>
          Boarder or guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Lodger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Tutored/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5350
        </catValu>
        <labl>
          Tutored child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Employee, boarder or guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Other specified non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          Agregado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5520
        </catValu>
        <labl>
          Temporary resident, guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5610
        </catValu>
        <labl>
          Group quarters, non-inmates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5620
        </catValu>
        <labl>
          Institutional inmates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Non-relative, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          Other relative or non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="AGE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="69" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="SEX" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEX reports the sex (gender) of the respondent.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="MARST" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Marital status [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MARST describes the person's current marital status according to law or custom.  Individuals who remarried should report the status relevant to their most recent marriage.  Census instructions rarely explicitly limit marital status to strictly legal unions.

Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Single/never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married/in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separated/divorced/spouse absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="MARSTD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="74" width="3" RecSegNo="1"/>
      <labl>
        Marital status [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MARST describes the person's current marital status according to law or custom.  Individuals who remarried should report the status relevant to their most recent marriage.  Census instructions rarely explicitly limit marital status to strictly legal unions.

Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Single/never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Engaged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Never married and never cohabited
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married or consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Married, formally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Married, civil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Married, religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Married, civil and religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Married, civil or religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Married, traditional/customary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Married, monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Married, polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Separated/divorced/spouse absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Separated or divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Separated or annulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Separated legally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Separated de facto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Separated from marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Separated from consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Separated from consensual union or marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Annulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Married, spouse absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Widowed or divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Widowed from consensual union or marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Widowed from marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Widowed from consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Widowed, divorced, or separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="CONSENS" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Consensual union
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, in consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="POLYGAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        Polygamous union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        POLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, in monogamous union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, in polygamous union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Man in polygamous union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Polygamous man, 2 wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Polygamous man, 3 or more wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Woman in polygamous union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Polygamous marriage, 2 wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Polygamous marriage, 3 or more wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          First wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Second wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Third or higher order wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="BIRTHYR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="81" width="4" RecSegNo="1"/>
      <labl>
        Year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHYR gives the person's year of birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1843
        </catValu>
        <labl>
          1843
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1845
        </catValu>
        <labl>
          1845
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1850
        </catValu>
        <labl>
          1850
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1853
        </catValu>
        <labl>
          1853
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1854
        </catValu>
        <labl>
          1854
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1856
        </catValu>
        <labl>
          1856
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1858
        </catValu>
        <labl>
          1858
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1859
        </catValu>
        <labl>
          1859
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1860
        </catValu>
        <labl>
          1860
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1861
        </catValu>
        <labl>
          1861
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1862
        </catValu>
        <labl>
          1862
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1863
        </catValu>
        <labl>
          1863
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1864
        </catValu>
        <labl>
          1864
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1865
        </catValu>
        <labl>
          1865
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1866
        </catValu>
        <labl>
          1866
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1867
        </catValu>
        <labl>
          1867
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1868
        </catValu>
        <labl>
          1868
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1869
        </catValu>
        <labl>
          1869
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1870
        </catValu>
        <labl>
          1870
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1871
        </catValu>
        <labl>
          1871
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1872
        </catValu>
        <labl>
          1872
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1873
        </catValu>
        <labl>
          1873
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1874
        </catValu>
        <labl>
          1874
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1875
        </catValu>
        <labl>
          1875
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1876
        </catValu>
        <labl>
          1876
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1877
        </catValu>
        <labl>
          1877
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1878
        </catValu>
        <labl>
          1878
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1879
        </catValu>
        <labl>
          1879
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1880
        </catValu>
        <labl>
          1880
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1881
        </catValu>
        <labl>
          1881
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1882
        </catValu>
        <labl>
          1882
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1883
        </catValu>
        <labl>
          1883
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1884
        </catValu>
        <labl>
          1884
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1885
        </catValu>
        <labl>
          1885
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1886
        </catValu>
        <labl>
          1886
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1887
        </catValu>
        <labl>
          1887
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1888
        </catValu>
        <labl>
          1888
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1889
        </catValu>
        <labl>
          1889
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1890
        </catValu>
        <labl>
          1890
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1891
        </catValu>
        <labl>
          1891
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1892
        </catValu>
        <labl>
          1892
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1893
        </catValu>
        <labl>
          1893
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1894
        </catValu>
        <labl>
          1894
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1895
        </catValu>
        <labl>
          1895
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1896
        </catValu>
        <labl>
          1896
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1897
        </catValu>
        <labl>
          1897
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1898
        </catValu>
        <labl>
          1898
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1899
        </catValu>
        <labl>
          1899
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          1900
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          1901
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          1902
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          1903
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          1904
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          1905
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          1906
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          1907
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          1908
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          1909
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          1910
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          1911
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          1912
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          1913
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1914
        </catValu>
        <labl>
          1914
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1915
        </catValu>
        <labl>
          1915
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1916
        </catValu>
        <labl>
          1916
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1917
        </catValu>
        <labl>
          1917
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1918
        </catValu>
        <labl>
          1918
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1919
        </catValu>
        <labl>
          1919
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          1920
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          1921
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          1922
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          1923
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          1924
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          1925
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          1926
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1927
        </catValu>
        <labl>
          1927
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1928
        </catValu>
        <labl>
          1928
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1929
        </catValu>
        <labl>
          1929
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          1930
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          1931
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          1932
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1933
        </catValu>
        <labl>
          1933
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1934
        </catValu>
        <labl>
          1934
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1935
        </catValu>
        <labl>
          1935
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="BIRTHMO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="83" width="2" RecSegNo="1"/>
      <labl>
        Month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHMO indicates the person's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="CHBORN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        Children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="CHSURV" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="87" width="2" RecSegNo="1"/>
      <labl>
        Children surviving
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHSURV reports the number of children born to a woman who were still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="CHBORNF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" width="2" RecSegNo="1"/>
      <labl>
        Number of female children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHBORNF indicates the number of female children ever born to a woman. Only live births are counted.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="CHBORNM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" width="2" RecSegNo="1"/>
      <labl>
        Number of male children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHBORNM indicates the number of male children ever born to a woman. Only live births are counted.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="CHSURVF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Number of female children surviving
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHSURVF indicates the number of female children ever born to a woman who were still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="CHSURVM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="95" width="2" RecSegNo="1"/>
      <labl>
        Number of male children surviving
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHSURVM indicates the number of male children ever born to a woman who were still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="BRTHLYR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        Number of births last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BRTHLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 (1 or more)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="MORTMOT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        Mortality status of mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MORTMOT indicates whether the person's biological mother was still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Dead
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Does not know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="MORTFAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Mortality status of father
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MORTFAT indicates whether the person's biological father was still living.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Dead
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Does not know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="BPLCM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="102" width="4" RecSegNo="1"/>
      <labl>
        Arrondissement of birth, Cameroon
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLCM indicates the district in Cameroon in which the person was born.
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Mayo Baleo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Djohong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl>
          Lembe Yezoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl>
          Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Saa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          805
        </catValu>
        <labl>
          Deuk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          806
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          904
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          905
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1003
        </catValu>
        <labl>
          Awae
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1004
        </catValu>
        <labl>
          Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1005
        </catValu>
        <labl>
          Esse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1006
        </catValu>
        <labl>
          Afanloum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1007
        </catValu>
        <labl>
          Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1008
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Nguibassal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Dibang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Bondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Messondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Biyouha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Ngok Mapubi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Akoeman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Mengueme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1506
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1603
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1604
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1605
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1706
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1707
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1708
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1709
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Salalomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Ngoyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Nguelemedouka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1713
        </catValu>
        <labl>
          Mboma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Ndem-Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          Mbotoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Bombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Garoua-Boulaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Hile-Halifa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Zina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Waza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2604
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2605
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2606
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2607
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2608
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2609
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2611
        </catValu>
        <labl>
          Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Nkondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Nord-Makombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Yabassi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Yingui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Ngambe or Bambini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2804
        </catValu>
        <labl>
          Mouanko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2805
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2806
        </catValu>
        <labl>
          Nyanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2807
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2808
        </catValu>
        <labl>
          Massok-Songloulou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2809
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2905
        </catValu>
        <labl>
          Douala 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2906
        </catValu>
        <labl>
          Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3005
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3006
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3007
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3008
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3009
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Tchollire or Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3501
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3502
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3503
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3504
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3505
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3506
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3601
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3602
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3603
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3604
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3701
        </catValu>
        <labl>
          Fungom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3702
        </catValu>
        <labl>
          Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3703
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3704
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3801
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3802
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3803
        </catValu>
        <labl>
          Bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3804
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3805
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3901
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3902
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3903
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3904
        </catValu>
        <labl>
          Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3905
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4001
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4002
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4003
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4004
        </catValu>
        <labl>
          Banjoun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Bakou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Banwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          Batie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4402
        </catValu>
        <labl>
          Bayangam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4403
        </catValu>
        <labl>
          Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4601
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4602
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4603
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4604
        </catValu>
        <labl>
          Penka-Michel or Bansoa (1976)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4701
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4702
        </catValu>
        <labl>
          Bassamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4703
        </catValu>
        <labl>
          Bazou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4704
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4801
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4802
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4803
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4804
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4805
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4806
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4807
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4808
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4901
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4902
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4903
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4904
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4905
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4906
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4907
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5101
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5102
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5103
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5104
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5105
        </catValu>
        <labl>
          Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5106
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5107
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5201
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5202
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5203
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5301
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5302
        </catValu>
        <labl>
          West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5303
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5304
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5305
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5306
        </catValu>
        <labl>
          Victoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5401
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5402
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5403
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5501
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5502
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5503
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5601
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5602
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5603
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5604
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5701
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5702
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5703
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5801
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5802
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5803
        </catValu>
        <labl>
          Dikome-Balue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5804
        </catValu>
        <labl>
          Idabato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5805
        </catValu>
        <labl>
          Isanguele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5806
        </catValu>
        <labl>
          Kombo Abedimo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5807
        </catValu>
        <labl>
          Kombo-Itindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5808
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5809
        </catValu>
        <labl>
          Toko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Cameroon - unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="CITIZEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="103" width="1" RecSegNo="1"/>
      <labl>
        Citizenship
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CITIZEN indicates the person's citizenship status within the country in which they were enumerated.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Citizen by birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Naturalized citizen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not a citizen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Without citizenship, stateless
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="NATION" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="108" width="5" RecSegNo="1"/>
      <labl>
        Country of citizenship
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NATION indicates the person's country of citizenship.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo (Republic of)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12090
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12999
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13011
        </catValu>
        <labl>
          Algeria/Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt/United Arab Rep.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13021
        </catValu>
        <labl>
          Egypt/Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13999
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14999
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15030
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15991
        </catValu>
        <labl>
          Burkina-Faso, Niger, Ivory-Coast, Benin, Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15992
        </catValu>
        <labl>
          Liberia, Sierra-Leone, Nigeria, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15999
        </catValu>
        <labl>
          West Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19990
        </catValu>
        <labl>
          Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19991
        </catValu>
        <labl>
          Central and South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19992
        </catValu>
        <labl>
          Arab African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19993
        </catValu>
        <labl>
          Non-Arab African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19994
        </catValu>
        <labl>
          Other Arab countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20000
        </catValu>
        <labl>
          Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21000
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21010
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21020
        </catValu>
        <labl>
          Antigua-Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21030
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21040
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21050
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21060
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21070
        </catValu>
        <labl>
          Cayman Isles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21080
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21090
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21100
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21120
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21130
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21140
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21150
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21160
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21170
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21180
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21190
        </catValu>
        <labl>
          St. Kitts-Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21200
        </catValu>
        <labl>
          St. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. Vincent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21999
        </catValu>
        <labl>
          Caribbean, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22999
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23990
        </catValu>
        <labl>
          South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24041
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24090
        </catValu>
        <labl>
          U.S. and Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24999
        </catValu>
        <labl>
          North America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29900
        </catValu>
        <labl>
          Americas, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29901
        </catValu>
        <labl>
          America/Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29902
        </catValu>
        <labl>
          Central/South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29903
        </catValu>
        <labl>
          Central-America and Carribean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29904
        </catValu>
        <labl>
          Central/South America and Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29905
        </catValu>
        <labl>
          North and Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31999
        </catValu>
        <labl>
          Eastern Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32041
        </catValu>
        <labl>
          India/Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32990
        </catValu>
        <labl>
          Burma, India, Pakistan, Ceylon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32999
        </catValu>
        <labl>
          South-Central Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33030
        </catValu>
        <labl>
          East Timor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33991
        </catValu>
        <labl>
          Laos and Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33992
        </catValu>
        <labl>
          Malaysia and Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33999
        </catValu>
        <labl>
          South-Eastern Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34151
        </catValu>
        <labl>
          Syria/Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34999
        </catValu>
        <labl>
          Western Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39900
        </catValu>
        <labl>
          Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39901
        </catValu>
        <labl>
          South-East/South Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39902
        </catValu>
        <labl>
          West Central/Middle East Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39903
        </catValu>
        <labl>
          Arab Countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39904
        </catValu>
        <labl>
          Non-Arab Asian countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39905
        </catValu>
        <labl>
          Former Soviet Republics, Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41021
        </catValu>
        <labl>
          Bulgaria/Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic/Czechoslovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41999
        </catValu>
        <labl>
          Eastern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42100
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42990
        </catValu>
        <labl>
          Nordic countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42999
        </catValu>
        <labl>
          Northern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43071
        </catValu>
        <labl>
          Vatican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43143
        </catValu>
        <labl>
          Kosovo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43144
        </catValu>
        <labl>
          Serbia and Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43999
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44041
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44042
        </catValu>
        <labl>
          East Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44999
        </catValu>
        <labl>
          Western Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49990
        </catValu>
        <labl>
          Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49991
        </catValu>
        <labl>
          Central-Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49992
        </catValu>
        <labl>
          European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49993
        </catValu>
        <labl>
          Countries newly added to European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49994
        </catValu>
        <labl>
          Former Soviet Republics, Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52999
        </catValu>
        <labl>
          Melanesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53999
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Western Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Eastern Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54100
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54999
        </catValu>
        <labl>
          Polynesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59999
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          Asia n.s. or Oceania n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70000
        </catValu>
        <labl>
          Other Countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70010
        </catValu>
        <labl>
          Europe, Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70020
        </catValu>
        <labl>
          Australia, New Zealand, and stateless
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99997
        </catValu>
        <labl>
          No citizenship/nationality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Foreign, country unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="RELIG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="109" width="1" RecSegNo="1"/>
      <labl>
        Religion [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIG indicates the person's religion, including "none."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="RELIGD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="113" width="4" RecSegNo="1"/>
      <labl>
        Religion [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIG indicates the person's religion, including "none."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Atheist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl>
          Without religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Khadrya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Layenne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Mouride
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Tidjane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Ahmadis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5006
        </catValu>
        <labl>
          Sunni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5007
        </catValu>
        <labl>
          Shiek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5008
        </catValu>
        <labl>
          Other Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6001
        </catValu>
        <labl>
          Catholic (Roman or unspecified)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6002
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6003
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6004
        </catValu>
        <labl>
          Evangelical protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6005
        </catValu>
        <labl>
          Pentacostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6006
        </catValu>
        <labl>
          Adventist / Seventh-day adventist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6007
        </catValu>
        <labl>
          Anglican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6008
        </catValu>
        <labl>
          Assembly of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6009
        </catValu>
        <labl>
          Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6010
        </catValu>
        <labl>
          Church of the Nazarene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6011
        </catValu>
        <labl>
          Congregational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6012
        </catValu>
        <labl>
          Dutch Reformed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6013
        </catValu>
        <labl>
          Episcopalian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6014
        </catValu>
        <labl>
          Jehovah's Witnesses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6015
        </catValu>
        <labl>
          Latter Day Saints (Mormon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6016
        </catValu>
        <labl>
          Lutheran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6017
        </catValu>
        <labl>
          Mennonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6018
        </catValu>
        <labl>
          Methodist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6019
        </catValu>
        <labl>
          New Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6020
        </catValu>
        <labl>
          Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6021
        </catValu>
        <labl>
          Zion Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          Other Christian, Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6101
        </catValu>
        <labl>
          Old Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6102
        </catValu>
        <labl>
          Protestant, Augsburg confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6103
        </catValu>
        <labl>
          Protestant, Westminster confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6104
        </catValu>
        <labl>
          Protestant, Helvetic confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6105
        </catValu>
        <labl>
          Greek Oriental
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6106
        </catValu>
        <labl>
          Armenian Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6107
        </catValu>
        <labl>
          Other Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6108
        </catValu>
        <labl>
          Christian Community for renewal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6109
        </catValu>
        <labl>
          Christian Community, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6110
        </catValu>
        <labl>
          Other Christian, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6111
        </catValu>
        <labl>
          Christian Congregation of Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6112
        </catValu>
        <labl>
          Brazilian Catholic Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6113
        </catValu>
        <labl>
          Brazil for Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6114
        </catValu>
        <labl>
          Foursquare Gospel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6115
        </catValu>
        <labl>
          Universal of the Kingdom of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6116
        </catValu>
        <labl>
          House of the Blessing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6117
        </catValu>
        <labl>
          House of Prayer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6118
        </catValu>
        <labl>
          God is Love
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6119
        </catValu>
        <labl>
          Maranata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6120
        </catValu>
        <labl>
          Other Christian, Brazil 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6121
        </catValu>
        <labl>
          Undetermined Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6124
        </catValu>
        <labl>
          Other traditional Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6125
        </catValu>
        <labl>
          Neo-Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6126
        </catValu>
        <labl>
          Other Neo-Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6127
        </catValu>
        <labl>
          Undetermined Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6128
        </catValu>
        <labl>
          Other Christian, Brazil 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6129
        </catValu>
        <labl>
          Other Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6130
        </catValu>
        <labl>
          Renewed Evangelical Protestant without institutional ties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6131
        </catValu>
        <labl>
          Pentecostal Evangelical without institutional ties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6132
        </catValu>
        <labl>
          New Life Evangelical Protestant Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6133
        </catValu>
        <labl>
          Evangelical Protestant Biblical Revival Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6134
        </catValu>
        <labl>
          Chain Of Prayer Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6135
        </catValu>
        <labl>
          Undetermined Evangelical Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6136
        </catValu>
        <labl>
          Religion Of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6137
        </catValu>
        <labl>
          Christian without institutional ties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6138
        </catValu>
        <labl>
          Other Christian, Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6139
        </catValu>
        <labl>
          Other Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6140
        </catValu>
        <labl>
          United Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6141
        </catValu>
        <labl>
          Protestant, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6142
        </catValu>
        <labl>
          Other Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6143
        </catValu>
        <labl>
          Other Christian, Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6144
        </catValu>
        <labl>
          Oriental Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6145
        </catValu>
        <labl>
          Other Christian, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6146
        </catValu>
        <labl>
          Other Christian, Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6147
        </catValu>
        <labl>
          Assyrian or Chaldean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6148
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6149
        </catValu>
        <labl>
          Other Christians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6150
        </catValu>
        <labl>
          Other Christian, Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6151
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6152
        </catValu>
        <labl>
          Protestant/Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6153
        </catValu>
        <labl>
          Other Christian, Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6154
        </catValu>
        <labl>
          Quaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6155
        </catValu>
        <labl>
          Other Christian, Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6156
        </catValu>
        <labl>
          Brethren
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6157
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6158
        </catValu>
        <labl>
          Church of God of Prophecy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6159
        </catValu>
        <labl>
          Other Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6160
        </catValu>
        <labl>
          Moravian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6161
        </catValu>
        <labl>
          United Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6162
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6163
        </catValu>
        <labl>
          New Testament
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6164
        </catValu>
        <labl>
          Disciples of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6165
        </catValu>
        <labl>
          Other Christian, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6166
        </catValu>
        <labl>
          Anabaptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6167
        </catValu>
        <labl>
          Calvinist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6168
        </catValu>
        <labl>
          Cuaquera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6169
        </catValu>
        <labl>
          Disciples of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6170
        </catValu>
        <labl>
          Christian Friendship Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6171
        </catValu>
        <labl>
          Prayer House Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6172
        </catValu>
        <labl>
          Faith Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6173
        </catValu>
        <labl>
          Agape Force Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6174
        </catValu>
        <labl>
          Alpha and Omega Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6175
        </catValu>
        <labl>
          Living Water Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6176
        </catValu>
        <labl>
          Apostolic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6177
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6178
        </catValu>
        <labl>
          Church of God of Prophecy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6179
        </catValu>
        <labl>
          Complete Gospel Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6180
        </catValu>
        <labl>
          Evangelical Siblings Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6181
        </catValu>
        <labl>
          Upper Room Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6182
        </catValu>
        <labl>
          Pentacostal Indigenous Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6183
        </catValu>
        <labl>
          Angular Stone Voice Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6184
        </catValu>
        <labl>
          Pentacostal Missionary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6185
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6186
        </catValu>
        <labl>
          Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6187
        </catValu>
        <labl>
          Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6188
        </catValu>
        <labl>
          Evangelical Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6189
        </catValu>
        <labl>
          New Testament Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6190
        </catValu>
        <labl>
          Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6191
        </catValu>
        <labl>
          Pentecostal Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6192
        </catValu>
        <labl>
          Independent Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6193
        </catValu>
        <labl>
          Evangelical Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6194
        </catValu>
        <labl>
          Pentecostal Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6195
        </catValu>
        <labl>
          Evangelical Pentecostal Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6196
        </catValu>
        <labl>
          Evangelical Pentecostal Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6197
        </catValu>
        <labl>
          Soldiers of Christ's Cross Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6198
        </catValu>
        <labl>
          Tabernacle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6199
        </catValu>
        <labl>
          Traditionalists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Other Evangelical Pentecostal Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6201
        </catValu>
        <labl>
          Pentecostal not clearly specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6202
        </catValu>
        <labl>
          Living God, Light of the World
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6203
        </catValu>
        <labl>
          Christian and Missionary Alliance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6204
        </catValu>
        <labl>
          Non-Pentecostal Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6205
        </catValu>
        <labl>
          Evangelical Associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6206
        </catValu>
        <labl>
          Biblical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6207
        </catValu>
        <labl>
          Confraternities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6208
        </catValu>
        <labl>
          Christ Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6209
        </catValu>
        <labl>
          Peace Grace and Misericordia Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6210
        </catValu>
        <labl>
          Open Bible Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6211
        </catValu>
        <labl>
          Holiness Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6212
        </catValu>
        <labl>
          Evangelical Salem Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6213
        </catValu>
        <labl>
          Beautiful Woman Dressed in the Sun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6214
        </catValu>
        <labl>
          Messianic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6215
        </catValu>
        <labl>
          Evangelical Ministers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6216
        </catValu>
        <labl>
          Evangelical Missionaries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6217
        </catValu>
        <labl>
          Evangelical Movements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6218
        </catValu>
        <labl>
          New Jerusalem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6219
        </catValu>
        <labl>
          World Vision Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6220
        </catValu>
        <labl>
          Evangelical not clearly specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6221
        </catValu>
        <labl>
          Biblical - non-evangelicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6222
        </catValu>
        <labl>
          Other Christians not clearly specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6223
        </catValu>
        <labl>
          Assumptionist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6224
        </catValu>
        <labl>
          Carmelite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6225
        </catValu>
        <labl>
          Claretian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6226
        </catValu>
        <labl>
          Conception Franciscan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6227
        </catValu>
        <labl>
          Maronite Diocese of Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6228
        </catValu>
        <labl>
          Dominican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6229
        </catValu>
        <labl>
          Servants of Mary Immaculate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6230
        </catValu>
        <labl>
          Franciscan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6231
        </catValu>
        <labl>
          Guadalupan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6232
        </catValu>
        <labl>
          Daughters of the Immaculate Conception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6233
        </catValu>
        <labl>
          Jesuit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6234
        </catValu>
        <labl>
          Legionaries of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6235
        </catValu>
        <labl>
          Divine Word Missionary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6236
        </catValu>
        <labl>
          Pauline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6237
        </catValu>
        <labl>
          Sacred Heart
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6238
        </catValu>
        <labl>
          Saint Joseph of Tarbes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6239
        </catValu>
        <labl>
          Servant of the Lord and the Virgin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6240
        </catValu>
        <labl>
          Servant of Jesus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6241
        </catValu>
        <labl>
          Greek Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6242
        </catValu>
        <labl>
          Reformed Roman Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6243
        </catValu>
        <labl>
          Mexican National Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6244
        </catValu>
        <labl>
          Tridentine Latin Rite Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6245
        </catValu>
        <labl>
          Priestly Society Trento
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6246
        </catValu>
        <labl>
          Mexican Catholic Union of Trento
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6247
        </catValu>
        <labl>
          Anabaptist / Memnonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6248
        </catValu>
        <labl>
          Anglican / Episcopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6249
        </catValu>
        <labl>
          House of Prayer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6250
        </catValu>
        <labl>
          Center of Faith, Hope and Love of the Missionary Revival Crusade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6251
        </catValu>
        <labl>
          Center of Faith, Hope and Love Agape Force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6252
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6253
        </catValu>
        <labl>
          Independent Pentecostal Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6254
        </catValu>
        <labl>
          Upper Chamber Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6255
        </catValu>
        <labl>
          Faith Apostolic Church of Jesus Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6256
        </catValu>
        <labl>
          Spiritual Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6257
        </catValu>
        <labl>
          Pentecostal Evangelical Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6258
        </catValu>
        <labl>
          Interdenominational Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6259
        </catValu>
        <labl>
          Church of God Full Gospel in Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6260
        </catValu>
        <labl>
          Church of Jesus Christ on the Rock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6261
        </catValu>
        <labl>
          Christ Evangelical Pentecostal Church Rock of my Salvation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6262
        </catValu>
        <labl>
          Mexican Church of Christ's Gospel Pentecost
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6263
        </catValu>
        <labl>
          United Pentecostal Church of Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6264
        </catValu>
        <labl>
          Universal Church of the Kingdom of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6265
        </catValu>
        <labl>
          Only Christ Savior Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6266
        </catValu>
        <labl>
          Independent Evangelical Pentecostal Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6267
        </catValu>
        <labl>
          Prince of Peace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6268
        </catValu>
        <labl>
          National Union of Evangelical Christian Churches (UNICE)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6269
        </catValu>
        <labl>
          Union of Independent Evangelical Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6270
        </catValu>
        <labl>
          Other associations Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6271
        </catValu>
        <labl>
          Church of the Living God, Pillar and Support of Truth, the Light of the World
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6272
        </catValu>
        <labl>
          Bible Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6273
        </catValu>
        <labl>
          Interdenominational Christian Church in Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6274
        </catValu>
        <labl>
          Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6275
        </catValu>
        <labl>
          Honey Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6276
        </catValu>
        <labl>
          Independent Evangelical Church in Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6277
        </catValu>
        <labl>
          Renewed Church of Jesus Christ and the Apostles of Divine Love
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6278
        </catValu>
        <labl>
          Other Christian and Evangelical associations without Pentecostal support
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6279
        </catValu>
        <labl>
          Faith Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6280
        </catValu>
        <labl>
          Traditional Apostolic Catholic Holy Church Mexico-USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6281
        </catValu>
        <labl>
          Mexican Apostolic Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6282
        </catValu>
        <labl>
          Elias
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6283
        </catValu>
        <labl>
          Spiritualistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6284
        </catValu>
        <labl>
          Spiritualist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6285
        </catValu>
        <labl>
          Marian Trinitarian Spirituality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6286
        </catValu>
        <labl>
          Spirituality of the Third Age
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6287
        </catValu>
        <labl>
          Christian Spiritual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6288
        </catValu>
        <labl>
          Judiciary Society Reign of Leonardo Alcalá Leos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6289
        </catValu>
        <labl>
          Spirituality for the Divine Master and the purity of Mary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6290
        </catValu>
        <labl>
          Light and Hope
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6291
        </catValu>
        <labl>
          Holy Spirit, Purity, Love and Light
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6292
        </catValu>
        <labl>
          Christian Science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6293
        </catValu>
        <labl>
          Other Christian, Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6294
        </catValu>
        <labl>
          Reformed Churches in The Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6295
        </catValu>
        <labl>
          Other Reformed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6296
        </catValu>
        <labl>
          Other Christian, Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6297
        </catValu>
        <labl>
          Moravian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6298
        </catValu>
        <labl>
          Other Christian, Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6299
        </catValu>
        <labl>
          Aglipay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Bible Christian Committees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6301
        </catValu>
        <labl>
          Born-again Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6302
        </catValu>
        <labl>
          Bread of Life Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6303
        </catValu>
        <labl>
          Charismatic Full Gospel Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6304
        </catValu>
        <labl>
          Christ the Living Stone Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6305
        </catValu>
        <labl>
          Christian and Missionary Alliance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6306
        </catValu>
        <labl>
          Christians Missions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6307
        </catValu>
        <labl>
          Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6308
        </catValu>
        <labl>
          Evangelical Christian Outreach Foundation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6309
        </catValu>
        <labl>
          Evangelical Free Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6310
        </catValu>
        <labl>
          Filipino Assemblies of the First Born Inc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6311
        </catValu>
        <labl>
          Foursquare Gospel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6312
        </catValu>
        <labl>
          Free Believers in Christ Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6313
        </catValu>
        <labl>
          Free Mission in the Philippines Inc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6314
        </catValu>
        <labl>
          God World Mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6315
        </catValu>
        <labl>
          Good News Christian Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6316
        </catValu>
        <labl>
          IEMELIF Reform Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6317
        </catValu>
        <labl>
          Iglesia Evangelista Methodista en Las
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6318
        </catValu>
        <labl>
          Iglesia ni Cristo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6319
        </catValu>
        <labl>
          Jesus Christ Saves Global Outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6320
        </catValu>
        <labl>
          Jesus is Lord Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6321
        </catValu>
        <labl>
          Jesus Reigns Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6322
        </catValu>
        <labl>
          Love of Christ International Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6323
        </catValu>
        <labl>
          Other evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6324
        </catValu>
        <labl>
          Other Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6325
        </catValu>
        <labl>
          Other Protestants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6326
        </catValu>
        <labl>
          Philippine Evangelical Mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6327
        </catValu>
        <labl>
          Philippine Grace Gospel Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6328
        </catValu>
        <labl>
          Philippines Benevolent Missionaries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6329
        </catValu>
        <labl>
          Potter's House Christian Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6330
        </catValu>
        <labl>
          Salvation Army Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6331
        </catValu>
        <labl>
          Take the Nation for Jesus Global Ministries (Corpus Christi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6332
        </catValu>
        <labl>
          UNIDA Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6333
        </catValu>
        <labl>
          United Church of Christ in the Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6334
        </catValu>
        <labl>
          United Evangelical Church of the Philippines (Chinese)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6335
        </catValu>
        <labl>
          Victory Chapel Christian Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6336
        </catValu>
        <labl>
          Wesleyan Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6337
        </catValu>
        <labl>
          World Missionary Evangelism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6338
        </catValu>
        <labl>
          Worldwide Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6339
        </catValu>
        <labl>
          Zion Christian Community Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6340
        </catValu>
        <labl>
          Other Christian, Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6341
        </catValu>
        <labl>
          Other Christian, Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6342
        </catValu>
        <labl>
          Greek Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6343
        </catValu>
        <labl>
          Reformed Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6344
        </catValu>
        <labl>
          Evangelic of Augustan Confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6345
        </catValu>
        <labl>
          Evangelic Synodo-Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6346
        </catValu>
        <labl>
          Christian of Old Rite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6347
        </catValu>
        <labl>
          Christian by Gospel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6348
        </catValu>
        <labl>
          Evangelic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6349
        </catValu>
        <labl>
          Other Christian, Rwanda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6350
        </catValu>
        <labl>
          Other Christian, Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6351
        </catValu>
        <labl>
          Other Christian, South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6352
        </catValu>
        <labl>
          Reformed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6353
        </catValu>
        <labl>
          International Fellowship of Christian Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6354
        </catValu>
        <labl>
          Apostolic Faith Mission of SA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6355
        </catValu>
        <labl>
          Other Apostolic Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6356
        </catValu>
        <labl>
          Pinkster Protestant Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6357
        </catValu>
        <labl>
          Afrikaanse Protestant Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6358
        </catValu>
        <labl>
          Full Gospel Church of God in Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6359
        </catValu>
        <labl>
          Pentecostal Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6360
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6361
        </catValu>
        <labl>
          Bandla Lama Nazaretha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6362
        </catValu>
        <labl>
          African Methodist Episcopal Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6363
        </catValu>
        <labl>
          St John's Apostolic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6364
        </catValu>
        <labl>
          International Pentecost Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6365
        </catValu>
        <labl>
          Ethiopian type churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6366
        </catValu>
        <labl>
          Ethnic churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6367
        </catValu>
        <labl>
          Other African Independent Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6368
        </catValu>
        <labl>
          Other Christian Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6369
        </catValu>
        <labl>
          Other Catholic Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6370
        </catValu>
        <labl>
          Other Pentecostal Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6371
        </catValu>
        <labl>
          Other Orthodox Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6372
        </catValu>
        <labl>
          Other African Apostolic churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6373
        </catValu>
        <labl>
          Other Assemblies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6374
        </catValu>
        <labl>
          Christian Scientist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6375
        </catValu>
        <labl>
          Christian Centres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6376
        </catValu>
        <labl>
          Other Evangelical Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6377
        </catValu>
        <labl>
          Other Charismatic Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6378
        </catValu>
        <labl>
          Other Christian, Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6379
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6380
        </catValu>
        <labl>
          Other Christian, Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6381
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6382
        </catValu>
        <labl>
          Other Christian, Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6383
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6384
        </catValu>
        <labl>
          Other Christian, Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6385
        </catValu>
        <labl>
          Other protestant churches and communities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6386
        </catValu>
        <labl>
          Christ-Catholic church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6387
        </catValu>
        <labl>
          Other Christian communities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6388
        </catValu>
        <labl>
          Other Christian non-Catholic, Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6389
        </catValu>
        <labl>
          Other Christian, Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6390
        </catValu>
        <labl>
          Christian undefined
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6391
        </catValu>
        <labl>
          Church of England
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6392
        </catValu>
        <labl>
          Gospel Hall and Brethern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6393
        </catValu>
        <labl>
          CMF (Every Home)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6394
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6395
        </catValu>
        <labl>
          All Nations Christian Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6396
        </catValu>
        <labl>
          Apostles Gospel Outreach Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6397
        </catValu>
        <labl>
          Christian Outreach Centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6398
        </catValu>
        <labl>
          Other Christian, Brazil 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6399
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6400
        </catValu>
        <labl>
          Other Christian, Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7000
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7001
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7002
        </catValu>
        <labl>
          Sikh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7003
        </catValu>
        <labl>
          Other, Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7004
        </catValu>
        <labl>
          Unification Church, Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7005
        </catValu>
        <labl>
          Other, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7006
        </catValu>
        <labl>
          Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7007
        </catValu>
        <labl>
          Kardecist Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7008
        </catValu>
        <labl>
          Afro Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7009
        </catValu>
        <labl>
          Mediumistic Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7010
        </catValu>
        <labl>
          Umbandist Mediumistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7011
        </catValu>
        <labl>
          Candomblecist Mediumistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7012
        </catValu>
        <labl>
          Other Afro-Brazilian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7013
        </catValu>
        <labl>
          Oriental, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7014
        </catValu>
        <labl>
          New Oriental
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7015
        </catValu>
        <labl>
          Oriental Seicho No-le
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7016
        </catValu>
        <labl>
          Other Oriental, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7017
        </catValu>
        <labl>
          Esoteric, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7018
        </catValu>
        <labl>
          Indigenous, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7019
        </catValu>
        <labl>
          Other minority groups, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7020
        </catValu>
        <labl>
          Other, Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7021
        </catValu>
        <labl>
          Eastern religions, Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7022
        </catValu>
        <labl>
          Other, Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7023
        </catValu>
        <labl>
          Theosophism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7024
        </catValu>
        <labl>
          Shintoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7025
        </catValu>
        <labl>
          Other, Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7026
        </catValu>
        <labl>
          Other, Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7027
        </catValu>
        <labl>
          Other, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7028
        </catValu>
        <labl>
          Traditional, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7029
        </catValu>
        <labl>
          Other, Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7030
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7031
        </catValu>
        <labl>
          Other, Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7032
        </catValu>
        <labl>
          Other, India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7033
        </catValu>
        <labl>
          Jainism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7034
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7035
        </catValu>
        <labl>
          Other, India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7036
        </catValu>
        <labl>
          Other, Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7037
        </catValu>
        <labl>
          Confucianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7038
        </catValu>
        <labl>
          Other, Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7039
        </catValu>
        <labl>
          Other, Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7040
        </catValu>
        <labl>
          Zoroastrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7041
        </catValu>
        <labl>
          Other, Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7042
        </catValu>
        <labl>
          Other, Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7043
        </catValu>
        <labl>
          Muslim/Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7044
        </catValu>
        <labl>
          Rastafarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7045
        </catValu>
        <labl>
          Other, Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7046
        </catValu>
        <labl>
          Druse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7047
        </catValu>
        <labl>
          Other, Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7048
        </catValu>
        <labl>
          Other, Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7049
        </catValu>
        <labl>
          Confucianism/Taoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7050
        </catValu>
        <labl>
          Tribal/Folk religion, Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7051
        </catValu>
        <labl>
          Other, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7052
        </catValu>
        <labl>
          Brahmanism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7053
        </catValu>
        <labl>
          Hare Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7054
        </catValu>
        <labl>
          Shintoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7055
        </catValu>
        <labl>
          Taoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7056
        </catValu>
        <labl>
          Mexican Movements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7057
        </catValu>
        <labl>
          Ananda Marga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7058
        </catValu>
        <labl>
          Church of Scientology
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7059
        </catValu>
        <labl>
          Masons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7060
        </catValu>
        <labl>
          Raelian Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7061
        </catValu>
        <labl>
          New Age Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7062
        </catValu>
        <labl>
          Neoisraelites
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7063
        </catValu>
        <labl>
          Occultists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7064
        </catValu>
        <labl>
          Palmar of Troya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7065
        </catValu>
        <labl>
          Rose Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7066
        </catValu>
        <labl>
          Theosophism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7067
        </catValu>
        <labl>
          Spiritualist Special Keys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7068
        </catValu>
        <labl>
          Onkaranada Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7069
        </catValu>
        <labl>
          Confucianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7070
        </catValu>
        <labl>
          Shia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7071
        </catValu>
        <labl>
          Universal Great Brotherhood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7072
        </catValu>
        <labl>
          Esoteric Science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7073
        </catValu>
        <labl>
          Gnosticism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7074
        </catValu>
        <labl>
          Metaphysics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7075
        </catValu>
        <labl>
          Wicca
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7076
        </catValu>
        <labl>
          Shamanism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7077
        </catValu>
        <labl>
          The Custom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7078
        </catValu>
        <labl>
          Mexicayotl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7079
        </catValu>
        <labl>
          Restorative Confederate Movement of Anahuac Culture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7080
        </catValu>
        <labl>
          African Origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7081
        </catValu>
        <labl>
          Rastafarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7082
        </catValu>
        <labl>
          Indigenous Religions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7083
        </catValu>
        <labl>
          Growing in Grace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7084
        </catValu>
        <labl>
          Eckankar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7085
        </catValu>
        <labl>
          Transcendental Meditation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7086
        </catValu>
        <labl>
          Mission Branch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7087
        </catValu>
        <labl>
          Children of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7088
        </catValu>
        <labl>
          Sri Sathya Sai Baba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7089
        </catValu>
        <labl>
          Other new religious movements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7090
        </catValu>
        <labl>
          Other, Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7091
        </catValu>
        <labl>
          Door of Faith
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7092
        </catValu>
        <labl>
          Faith Tabernacle Church (Living Rock Ministries)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7093
        </catValu>
        <labl>
          International One Way Outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7094
        </catValu>
        <labl>
          Miracle Life Fellowship International
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7095
        </catValu>
        <labl>
          Miracle Revival Church of the Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7096
        </catValu>
        <labl>
          Philippine Good News Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7097
        </catValu>
        <labl>
          Philippine Missionary fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7098
        </catValu>
        <labl>
          Things to Come
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7099
        </catValu>
        <labl>
          Way of Salvation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7100
        </catValu>
        <labl>
          Word of the World
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          Tribal Religions, Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7102
        </catValu>
        <labl>
          Other, Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7103
        </catValu>
        <labl>
          Unitarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7104
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7105
        </catValu>
        <labl>
          Mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7106
        </catValu>
        <labl>
          Other, Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7107
        </catValu>
        <labl>
          Other, Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7108
        </catValu>
        <labl>
          Traditional religion, Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7109
        </catValu>
        <labl>
          Other, Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7110
        </catValu>
        <labl>
          Other, Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7111
        </catValu>
        <labl>
          Traditional religion, Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7112
        </catValu>
        <labl>
          Other, South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7113
        </catValu>
        <labl>
          African traditional belief
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7114
        </catValu>
        <labl>
          Taoist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7115
        </catValu>
        <labl>
          Confucian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7116
        </catValu>
        <labl>
          New Age
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7117
        </catValu>
        <labl>
          Other non-Christian, S. Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7118
        </catValu>
        <labl>
          Other, Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7119
        </catValu>
        <labl>
          Traditional religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7120
        </catValu>
        <labl>
          Other non-Christian, Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7121
        </catValu>
        <labl>
          Other, United Kindom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7122
        </catValu>
        <labl>
          Other, Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7123
        </catValu>
        <labl>
          Hoa Hoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7124
        </catValu>
        <labl>
          Cao Dai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7125
        </catValu>
        <labl>
          Other, Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7126
        </catValu>
        <labl>
          Kirat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7127
        </catValu>
        <labl>
          Jain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7128
        </catValu>
        <labl>
          Garaute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7129
        </catValu>
        <labl>
          Tap jura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7130
        </catValu>
        <labl>
          Other, Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7131
        </catValu>
        <labl>
          Ahmadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7132
        </catValu>
        <labl>
          Parsi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7133
        </catValu>
        <labl>
          Scheduled caste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7134
        </catValu>
        <labl>
          Other, Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7135
        </catValu>
        <labl>
          Rastafarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7136
        </catValu>
        <labl>
          Other, Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7137
        </catValu>
        <labl>
          Confucian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7138
        </catValu>
        <labl>
          Other, Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7139
        </catValu>
        <labl>
          Umbanda/other Afro-American
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7140
        </catValu>
        <labl>
          Other, Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7141
        </catValu>
        <labl>
          Other, Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7142
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7143
        </catValu>
        <labl>
          Other, Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7144
        </catValu>
        <labl>
          Confucian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7145
        </catValu>
        <labl>
          Kabir Panthi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7146
        </catValu>
        <labl>
          Satya Sai Baba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7147
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7148
        </catValu>
        <labl>
          Other non-Christian, Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7149
        </catValu>
        <labl>
          Other, Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7150
        </catValu>
        <labl>
          Voodoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7151
        </catValu>
        <labl>
          Other, Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7152
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7153
        </catValu>
        <labl>
          Other, Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7154
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7155
        </catValu>
        <labl>
          Other, Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7156
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7157
        </catValu>
        <labl>
          Other, Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7158
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7900
        </catValu>
        <labl>
          Other, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="SPKENG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="114" width="1" RecSegNo="1"/>
      <labl>
        Speaks English
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SPKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="SCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="115" width="1" RecSegNo="1"/>
      <labl>
        School attendance
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No, attended in the past
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          No, never attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="LIT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="116" width="1" RecSegNo="1"/>
      <labl>
        Literacy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, literate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="EDATTAN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="117" width="1" RecSegNo="1"/>
      <labl>
        Educational attainment, international recode [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDATTAN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. 

EDATTAN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling.  EDATTAN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States).  As always, users can refer to the original education source variables for each sample, if they wish.

Many samples also give single years of schooling completed, recorded in YRSCHL.   Some samples provide educational information in a form that could not be incorporated into EDATTAN.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than primary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          University completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="EDATTAND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="118" EndPos="120" width="3" RecSegNo="1"/>
      <labl>
        Educational attainment, international recode [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDATTAN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. 

EDATTAN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling.  EDATTAN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States).  As always, users can refer to the original education source variables for each sample, if they wish.

Many samples also give single years of schooling completed, recorded in YRSCHL.   Some samples provide educational information in a form that could not be incorporated into EDATTAN.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than primary completed (n.s.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          No schooling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Some primary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Primary (4 yrs) completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Primary (5 yrs) completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Primary (6 yrs) completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Lower secondary general completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Lower secondary technical completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Secondary, general track completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Some college completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Secondary or post-secondary technical completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Secondary, technical track completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Post-secondary technical education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          University completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="YRSCHL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="122" width="2" RecSegNo="1"/>
      <labl>
        Years of schooling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[YRSCHL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAN. Years of schooling for Israel, categorized into intervals, are given in YRSCHL2.

Users should pay close attention to the top-codes in each sample, as discussed in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None or pre-school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 years or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Some primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Some technical after primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Some secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Some tertiary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Adult literacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Special education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="EDUCCM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" width="3" RecSegNo="1"/>
      <labl>
        Educational attainment, Cameroon
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDUCCM indicates the person's educational attainment in terms of the level of schooling completed.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Preschool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Preschool, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Preschool, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Preschool, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Preschool, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Primary, French system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Primary, French system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Primary, French system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Primary, French system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Primary, French system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Primary, French system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Primary, French system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Primary, French system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Primary, English system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Primary, English system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Primary, English system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Primary, English system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Primary, English system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Primary, English system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          Primary, English system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          Primary, English system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Primary, English system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Primary, French or English system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary, French or English system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Primary, French or English system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Primary, French or English system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Primary, French or English system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Primary, French or English system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Primary, French or English system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          Primary, French or English system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Primary, other system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Primary, other system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Primary, other system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Primary, other system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Primary, other system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Primary, other system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Primary, other system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Primary, other system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Secondary, French system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secondary, French system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Secondary, French system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Secondary, French system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Secondary, French system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          Secondary, French system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          Secondary, French system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Secondary, French system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Secondary, French system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Secondary, English system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Secondary, English system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Secondary, English system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          Secondary, English system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          Secondary, English system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          Secondary, English system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Secondary, English system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          Secondary, English system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Secondary, English system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Secondary, French or English system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Secondary, French or English system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Secondary, French or English system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          Secondary, French or English system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Secondary, French or English system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          Secondary, French or English system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          Secondary, French or English system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          Secondary, French or English system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Secondary, French or English system, first cycle, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Secondary, French or English system, second cycle, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Secondary techinical, French system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Secondary technical, French system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Secondary technical, French system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Secondary technical, French system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Secondary technical, French system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Secondary technical, French system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          Secondary technical, French system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          Secondary technical, French system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          Secondary technical, French system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Secondary technical, English system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Secondary technical, English system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Secondary technical, English system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Secondary technical, English system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Secondary technical, English system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Secondary technical, English system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          Secondary technical, English system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          Secondary technical, English system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Secondary technical, English system, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          Secondary technical, French or English system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          Secondary technical, French or English system, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          Secondary technical, French or English system, first cycle, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          Secondary technical, French or English system, second cycle, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Technical post-primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Technical post-primary, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Technical post-primary, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Technical post-primary, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Technical post-primary, year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Technical post-primary, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Technical post-CEP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Technical post-CEP, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Technical post-CEP, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Technical post-CEP, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Technical post-CEP, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Technical post-BEPC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Technical post-BEPC, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Technical post-BEPC, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Technical post-BEPC, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Technical post-BEPC, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Technical post-probation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Technical post-probation, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Technical post-probation, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          Technical post-probation, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          Technical post-probation, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Technical post-baccalaureate and higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Technical post-BAC and higher, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Technical post-BAC and higher, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          Technical post-BAC and higher, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          Technical post-BAC and higher, year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          Technical post-BAC and higher, year 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          Technical post-BAC and higher, year 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          Technical post-BAC and higher, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Old teacher's school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Old teacher's school, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Old teacher's school, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          Old teacher's school, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          Old teacher's school, year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          Old teacher's school, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Teacher's school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          Teacher's school, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          Teacher's school, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          Teacher's school, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Teacher's school, year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          575
        </catValu>
        <labl>
          Teacher's school, year 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          576
        </catValu>
        <labl>
          Teacher's school, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Higher specialized education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Higher specialized education, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Higher specialized education, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Higher specialized education, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Higher specialized education, year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Higher specialized education, year 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Higher specialized education, year 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          617
        </catValu>
        <labl>
          Higher specialized education, year 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          618
        </catValu>
        <labl>
          Higher specialized education, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          University, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          University, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          623
        </catValu>
        <labl>
          University, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          University, year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          625
        </catValu>
        <labl>
          University, year 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          University, year 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          627
        </catValu>
        <labl>
          University, year 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          628
        </catValu>
        <labl>
          Year 8+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          University, year unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Koranic school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Koranic school, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Koranic school, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Koranic school, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Koranic school, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Koranic school, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Koranic school, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          717
        </catValu>
        <labl>
          Koranic school, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          Koranic school, grade unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="EMPSTAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="126" width="1" RecSegNo="1"/>
      <labl>
        Employment status [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.

The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.

Employment status is sometimes referred to in other sources as "activity status".]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Inactive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="EMPSTATD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="129" width="3" RecSegNo="1"/>
      <labl>
        Employment status [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.

The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.

Employment status is sometimes referred to in other sources as "activity status".]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          At work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          At work, and 'student'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          At work, and 'housework'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          At work, and 'seeking work'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          At work, and 'retired'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          At work, and 'no work'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          At work, and other situation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          At work, family holding, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          At work, family holding, not agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          At work, family holding, agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Have job, not at work in reference period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Armed forces, at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Armed forces, not at work in reference period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Military trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Marginally employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Unemployed 6 or more months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Worked fewer than 6 months, permanent job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Worked fewer than 6 months, temporary job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed, experienced worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed, new worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          No work available
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Inactive unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Inactive (not in labor force)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Housework
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Unable to work/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Permanent disability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Temporary illness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Disabled or imprisoned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          In school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Retirees and living on rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Living on rents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Living on rents or pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Retirees/pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Pensioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Non-retirement pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Disability pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Retired without benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Elderly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Elderly or disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Institutionalized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Prisoner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Intermittent worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Not working, seasonal worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Not working, occasional worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Other income recipient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Inactive, other reasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Too young to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Dependent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="OCCISCO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="131" width="2" RecSegNo="1"/>
      <labl>
        Occupation, ISCO general
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Crafts and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Other occupations, unspecified or n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V121" name="OCC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="132" EndPos="135" width="4" RecSegNo="1"/>
      <labl>
        Occupation, unrecoded
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.

To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.]]>
      </txt>
      <codInstr>
        <![CDATA[OCC is a 4-digit numeric variable.

Some samples use fewer than 4 digits.  In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.

		
Please see the codes for: CM05A506]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="INDGEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="138" width="3" RecSegNo="1"/>
      <labl>
        Industry, general recode
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.

"Industry" refers to the activity or product of the establishment or sector in which a person worked.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, fishing, and forestry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Transportation and communications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Financial services and insurance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Services, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Real estate and business services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Other services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Private household services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Other industry, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="IND" files="F2" dcml="0" intrvl="contin">
      <location StartPos="139" EndPos="143" width="5" RecSegNo="1"/>
      <labl>
        Industry, unrecoded
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
      </txt>
      <codInstr>
        <![CDATA[IND is a 5-digit numeric variable.

Some samples use fewer than 5 digits.  In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.

		
Please see the codes for: CM05A509]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="CLASSWK" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="144" width="1" RecSegNo="1"/>
      <labl>
        Class of worker [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. 

Class of worker is often referred to as "status in employment" in other sources.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wage/salary worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Unpaid worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="CLASSWKD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="147" width="3" RecSegNo="1"/>
      <labl>
        Class of worker [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. 

Class of worker is often referred to as "status in employment" in other sources.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Self-employed, unincorporated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Self-employed, incorporated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sharecropper, employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Working on own account
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Own account, agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Domestic worker, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Subsistence worker, own consumption
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Own account, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Own account, without temporary/unpaid help
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Own account, with temporary/unpaid help
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Member of cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Sharecropper, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Sharecropper, employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kibbutz member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Wage/salary worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Non-management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          White collar (non-manual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Blue collar (manual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          White and blue collar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Day laborer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Employee, with a permanent job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Employee, occasional, temporary, contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Employee without legal contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wage/salary worker, private employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Apprentice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Religious worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wage/salary worker, non-profit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          White collar, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Blue collar, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Paid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Cooperative employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Wage/salary worker, government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Federal, government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          State government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Local government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          White collar, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Blue collar, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Public companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Civil servants, local collectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Domestic worker (work for private household)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Seasonal migrant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Seasonal migrant, no broker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Seasonal migrant, uses broker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Other wage and salary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Canal zone/commission employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Government employment/training program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Mixed state/private enterprise
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Government public work program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Unpaid worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Unpaid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Apprentice, unpaid or unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Apprentice or trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Works for others without wage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="MGRATE5" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="149" width="2" RecSegNo="1"/>
      <labl>
        Migration status, 5 years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MGRATE5 indicates the person's place of residence 5 years ago.  The first digit records movement across major administrative divisions and countries.  The second digit reports movement across minor administrative divisions, for samples in which that detail is available.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Same major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Same major, same minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Same major, different minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Different major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="MGRATEP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="150" EndPos="151" width="2" RecSegNo="1"/>
      <labl>
        Migration status, previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Same major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Same major, same minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Same major, different minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Different major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="MGCTRY1" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="156" width="5" RecSegNo="1"/>
      <labl>
        Country of previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MGCTRY1 indicates the country of previous residence of international migrants.  Persons who never lived abroad are coded to the "non-migrant" category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11190
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12100
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12999
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt/United Arab Rep.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13990
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14999
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19999
        </catValu>
        <labl>
          Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20000
        </catValu>
        <labl>
          Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21000
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21010
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21020
        </catValu>
        <labl>
          Antigua-Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21030
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21040
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21050
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21060
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21070
        </catValu>
        <labl>
          Cayman Isles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21080
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21090
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21100
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21120
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21130
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21140
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21150
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21160
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21170
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21180
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21190
        </catValu>
        <labl>
          St. Kitts-Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21200
        </catValu>
        <labl>
          St. Croix
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. John
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          St. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          St. Thomas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21240
        </catValu>
        <labl>
          St. Vincent and the Grenadines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21250
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21260
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21270
        </catValu>
        <labl>
          U.S. Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21999
        </catValu>
        <labl>
          Caribbean, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22999
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23990
        </catValu>
        <labl>
          South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23991
        </catValu>
        <labl>
          Central and Latin America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24050
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24051
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24999
        </catValu>
        <labl>
          U.S.A, Canada, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29999
        </catValu>
        <labl>
          Americas, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32041
        </catValu>
        <labl>
          India, Pakistan, Bangladesh, Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33061
        </catValu>
        <labl>
          Malaysia and Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34190
        </catValu>
        <labl>
          Middle East, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34191
        </catValu>
        <labl>
          Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34199
        </catValu>
        <labl>
          Gulf countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39999
        </catValu>
        <labl>
          Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41021
        </catValu>
        <labl>
          Albania/Bulgaria/Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41031
        </catValu>
        <labl>
          Czechoslovakia/Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42199
        </catValu>
        <labl>
          Scandinavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43143
        </catValu>
        <labl>
          Serbia and Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43999
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44021
        </catValu>
        <labl>
          Belgium/Luxemburg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44022
        </catValu>
        <labl>
          Benelux (Belgium/Netherlands/Luxemburg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49999
        </catValu>
        <labl>
          Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51021
        </catValu>
        <labl>
          New Zealand/New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53999
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59999
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60010
        </catValu>
        <labl>
          Europe, Australia, New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60020
        </catValu>
        <labl>
          Asia and Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90000
        </catValu>
        <labl>
          Non-migrants (International)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="MGCTRY2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="161" width="5" RecSegNo="1"/>
      <labl>
        Country of residence 5 years ago
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MGCTRY2 indicates the country of residence 5 years ago for international migrants.  Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11190
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12090
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12999
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt/United Arab Rep.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13999
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14999
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15030
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15999
        </catValu>
        <labl>
          Western Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19999
        </catValu>
        <labl>
          Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20000
        </catValu>
        <labl>
          Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21000
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21010
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21020
        </catValu>
        <labl>
          Antigua-Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21030
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21040
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21050
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21060
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21070
        </catValu>
        <labl>
          Cayman Isles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21080
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21090
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21100
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21120
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21130
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21140
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21150
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21160
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21170
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21180
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21190
        </catValu>
        <labl>
          St. Kitts-Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21200
        </catValu>
        <labl>
          St. Croix
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. John
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          St. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          St. Thomas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21240
        </catValu>
        <labl>
          St. Vincent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21250
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21260
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21270
        </catValu>
        <labl>
          U.S. Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21280
        </catValu>
        <labl>
          Curacao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21290
        </catValu>
        <labl>
          Sint Maarten
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21999
        </catValu>
        <labl>
          Caribbean, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22990
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22991
        </catValu>
        <labl>
          Central America and Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23999
        </catValu>
        <labl>
          South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24041
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24999
        </catValu>
        <labl>
          North or Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29999
        </catValu>
        <labl>
          Americas, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32900
        </catValu>
        <labl>
          South Asia, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33030
        </catValu>
        <labl>
          East Timor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34151
        </catValu>
        <labl>
          Syria/Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34999
        </catValu>
        <labl>
          Middle East, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39999
        </catValu>
        <labl>
          Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41999
        </catValu>
        <labl>
          Eastern Europe, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42199
        </catValu>
        <labl>
          Scandinavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42999
        </catValu>
        <labl>
          Northern Europe, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43999
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44021
        </catValu>
        <labl>
          Belgium/Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44022
        </catValu>
        <labl>
          Benelux (Belgium/Netherlands/Luxembourg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44999
        </catValu>
        <labl>
          Western Europe, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49999
        </catValu>
        <labl>
          Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52999
        </catValu>
        <labl>
          Melanesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53999
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54999
        </catValu>
        <labl>
          Polynesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59999
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60010
        </catValu>
        <labl>
          Other Arab country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90000
        </catValu>
        <labl>
          Non-migrants (international)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="MGYRS1" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="162" EndPos="163" width="2" RecSegNo="1"/>
      <labl>
        Years residing in current locality
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MGYRS1 indicates how many years the person has resided in their current locality of residence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year (or 1 year or less)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Less than 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          More than 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="MIGCM1" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="164" EndPos="167" width="4" RecSegNo="1"/>
      <labl>
        Arrondissement of previous residence, Cameroon
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGCM1 indicates the person's previous arrondissement of residence within Cameroon.
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Mayo Baleo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Djohong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl>
          Lembe Yezoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl>
          Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Saa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          805
        </catValu>
        <labl>
          Deuk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          806
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          904
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          905
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1003
        </catValu>
        <labl>
          Awae
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1004
        </catValu>
        <labl>
          Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1005
        </catValu>
        <labl>
          Esse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1006
        </catValu>
        <labl>
          Afanloum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1007
        </catValu>
        <labl>
          Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1008
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Nguibassal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Dibang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Bondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Messondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Biyouha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Ngok Mapubi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Akoeman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Mengueme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1506
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1603
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1604
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1605
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1706
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1707
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1708
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1709
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Salalomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Ngoyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Nguelemedouka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1713
        </catValu>
        <labl>
          Mboma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Ndem-Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          Mbotoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Bombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Garoua-Boulaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Hile-Halifa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Zina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Waza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2604
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2605
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2606
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2607
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2608
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2609
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2611
        </catValu>
        <labl>
          Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Nkondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Nord-Makombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Yabassi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Yingui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Ngambe or Bambini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2804
        </catValu>
        <labl>
          Mouanko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2805
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2806
        </catValu>
        <labl>
          Nyanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2807
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2808
        </catValu>
        <labl>
          Massok-Songloulou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2809
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2905
        </catValu>
        <labl>
          Douala 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2906
        </catValu>
        <labl>
          Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3005
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3006
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3007
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3008
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3009
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Tchollire or Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3501
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3502
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3503
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3504
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3505
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3506
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3601
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3602
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3603
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3604
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3701
        </catValu>
        <labl>
          Fungom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3702
        </catValu>
        <labl>
          Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3703
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3704
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3801
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3802
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3803
        </catValu>
        <labl>
          Bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3804
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3805
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3901
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3902
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3903
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3904
        </catValu>
        <labl>
          Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3905
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4001
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4002
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4003
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4004
        </catValu>
        <labl>
          Banjoun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Bakou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Banwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          Batie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4402
        </catValu>
        <labl>
          Bayangam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4403
        </catValu>
        <labl>
          Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4601
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4602
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4603
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4604
        </catValu>
        <labl>
          Penka-Michel or Bansoa (1976)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4701
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4702
        </catValu>
        <labl>
          Bassamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4703
        </catValu>
        <labl>
          Bazou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4704
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4801
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4802
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4803
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4804
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4805
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4806
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4807
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4808
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4901
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4902
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4903
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4904
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4905
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4906
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4907
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5101
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5102
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5103
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5104
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5105
        </catValu>
        <labl>
          Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5106
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5107
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5201
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5202
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5203
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5301
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5302
        </catValu>
        <labl>
          West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5303
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5304
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5305
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5306
        </catValu>
        <labl>
          Victoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5401
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5402
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5403
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5501
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5502
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5503
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5601
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5602
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5603
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5604
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5701
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5702
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5703
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5801
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5802
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5803
        </catValu>
        <labl>
          Dikome-Balue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5804
        </catValu>
        <labl>
          Idabato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5805
        </catValu>
        <labl>
          Isanguele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5806
        </catValu>
        <labl>
          Kombo Abedimo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5807
        </catValu>
        <labl>
          Kombo-Itindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5808
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5809
        </catValu>
        <labl>
          Toko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Cameroon - unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="MIGCM2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="168" EndPos="171" width="4" RecSegNo="1"/>
      <labl>
        Arrondissement of residence 5 years ago, Cameroon
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGCM2 indicates the person's arrondissement of residence within Cameroon five years ago.
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Mayo Baleo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Djohong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl>
          Lembe Yezoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl>
          Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Saa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          805
        </catValu>
        <labl>
          Deuk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          806
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          904
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          905
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1003
        </catValu>
        <labl>
          Awae
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1004
        </catValu>
        <labl>
          Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1005
        </catValu>
        <labl>
          Esse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1006
        </catValu>
        <labl>
          Afanloum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1007
        </catValu>
        <labl>
          Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1008
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Nguibassal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Dibang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Bondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Messondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Biyouha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Ngok Mapubi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Akoeman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Mengueme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1506
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1603
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1604
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1605
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1706
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1707
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1708
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1709
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Salalomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Ngoyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Nguelemedouka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1713
        </catValu>
        <labl>
          Mboma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Ndem-Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          Mbotoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Bombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Garoua-Boulaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Hile-Halifa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Zina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Waza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2604
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2605
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2606
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2607
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2608
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2609
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2611
        </catValu>
        <labl>
          Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Nkondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Nord-Makombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Yabassi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Yingui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Ngambe or Bambini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2804
        </catValu>
        <labl>
          Mouanko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2805
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2806
        </catValu>
        <labl>
          Nyanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2807
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2808
        </catValu>
        <labl>
          Massok-Songloulou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2809
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2905
        </catValu>
        <labl>
          Douala 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2906
        </catValu>
        <labl>
          Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3005
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3006
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3007
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3008
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3009
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Tchollire or Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3501
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3502
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3503
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3504
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3505
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3506
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3601
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3602
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3603
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3604
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3701
        </catValu>
        <labl>
          Fungom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3702
        </catValu>
        <labl>
          Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3703
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3704
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3801
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3802
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3803
        </catValu>
        <labl>
          Bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3804
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3805
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3901
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3902
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3903
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3904
        </catValu>
        <labl>
          Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3905
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4001
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4002
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4003
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4004
        </catValu>
        <labl>
          Banjoun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Bakou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Banwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          Batie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4402
        </catValu>
        <labl>
          Bayangam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4403
        </catValu>
        <labl>
          Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4601
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4602
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4603
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4604
        </catValu>
        <labl>
          Penka-Michel or Bansoa (1976)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4701
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4702
        </catValu>
        <labl>
          Bassamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4703
        </catValu>
        <labl>
          Bazou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4704
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4801
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4802
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4803
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4804
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4805
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4806
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4807
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4808
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4901
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4902
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4903
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4904
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4905
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4906
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4907
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5101
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5102
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5103
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5104
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5105
        </catValu>
        <labl>
          Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5106
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5107
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5201
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5202
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5203
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5301
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5302
        </catValu>
        <labl>
          West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5303
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5304
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5305
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5306
        </catValu>
        <labl>
          Victoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5401
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5402
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5403
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5501
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5502
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5503
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5601
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5602
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5603
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5604
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5701
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5702
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5703
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5801
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5802
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5803
        </catValu>
        <labl>
          Dikome-Balue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5804
        </catValu>
        <labl>
          Idabato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5805
        </catValu>
        <labl>
          Isanguele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5806
        </catValu>
        <labl>
          Kombo Abedimo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5807
        </catValu>
        <labl>
          Kombo-Itindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5808
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5809
        </catValu>
        <labl>
          Toko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Cameroon - unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="DISABLE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="172" width="1" RecSegNo="1"/>
      <labl>
        Disability status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISABLE indicates whether the person reported a disability of any kind.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, not disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="DISEMP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="173" EndPos="173" width="1" RecSegNo="1"/>
      <labl>
        Employment disability
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISEMP indicates if the respondent was economically inactive because of disabilities.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="DISBLND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="174" width="1" RecSegNo="1"/>
      <labl>
        Blind or vision-impaired
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISBLND indicates whether the person was blind or had limited vision.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="DISDEAF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="175" width="1" RecSegNo="1"/>
      <labl>
        Deaf or hearing-impaired
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISDEAF indicates whether the person was deaf or had limited hearing.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V137" name="DISMUTE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="176" EndPos="176" width="1" RecSegNo="1"/>
      <labl>
        Mute
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISMUTE indicates if the person could not speak or had a significant speech impediment.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="DISLOWR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="177" width="1" RecSegNo="1"/>
      <labl>
        Disability affecting lower extremities
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISLOWR indicates whether the person lacked use of one or both legs.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="DISUPPR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="178" EndPos="178" width="1" RecSegNo="1"/>
      <labl>
        Disability affecting upper extremities
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISUPPR indicates whether the person lacked full use of at least one arm or hand.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="DISPSYC" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="179" width="1" RecSegNo="1"/>
      <labl>
        Psychological disability
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISPSYC indicates whether the person was disabled due to mental illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="CM05A003" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="180" EndPos="181" width="2" RecSegNo="1"/>
      <labl>
        Person number (within household)
      </labl>
      <qstn>
        <qstnLit>
          Person number (within household)
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person number (within household).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Household record
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="CM05A436" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="182" EndPos="184" width="3" RecSegNo="1"/>
      <labl>
        Last class attended (unedited)
      </labl>
      <qstn>
        <qstnLit>
          Last class attended (unedited)
        </qstnLit>
        <ivuInstr>
          <![CDATA[
25. Last grade attended
This is the last grade attended by the surveyed person, whether they passed or not.

Q. What was the last grade you were in/was _______ in?


Codes for terms of this variable are as follows:


Last grade attended/Code
No level 	000
Education of the Koran:
[Specific years omitted: codes 011-013]
Unspecified 019

Preschool or nursery school
[Specific years omitted: codes 021-023]
Unspecified 029

Elementary school
[Specific years omitted: codes 031-039]
Unspecified 039

1st cycle, General high school
[Specific years omitted: codes 041-044]
Unspecified 049

1st cycle, Technical high school
[Specific years omitted: codes 051-054]
Unspecified 059

Training in General Certificate Secondary Education
[Specific years omitted: codes 061-063]
Unspecified 069

Post primary (SAR, SM?)
[Specific years omitted: codes 071-074]
Unspecified 079

2nd cycle, General high school
[Specific years omitted: codes 081-083]
Unspecified 089

2nd cycle, Technical high school
[Specific years omitted: codes 091-093]
Unspecified 099

General Certificate Secondary Education
[Specific years omitted: codes 101-103]
Unspecified 109

Probationary training school
[Specific years omitted: codes 111-113]
Unspecified 119

Higher education (University, Institutes, Elite schools)
[Specific years omitted: codes 121-128]
Unspecified	129

Non declared education
[Specific years omitted: codes 999]
Etc. 999]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons with a known present school attendence
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the last class or grade that a person attended.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Koranic school year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Koranic school year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Koranic school year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Koranic school, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Kindergarten year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kindergarten year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Kindergarten year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Kindergarten, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Primary school SIL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Primary school CP1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Primary school CP2/class 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Primary school CE1/class 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Primary school CE2/class 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Primary school CM1/class 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Primary school CMII/class 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Primary school not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          General secondary school 6ème/form 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          General secondary school 5ème/form 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          General secondary school 4ème/form 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          General secondary school 3ème/form 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Form 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          General secondary school not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Technical secondary school year 1/form 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Technical secondary school year 2/form 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Technical secondary school year 3/form 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Technical secondary school year 4/form 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Technical secondary school, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ttraining school CEPE, year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Training school CEPE, year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Training school CEPE, year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Training school CEPE, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Post primary school year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Post primary school year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Post primary school year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Post primary school year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Post primary school not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          General secondary school seconde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          General secondary school première/lower 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          General secondary school terminale/upper 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          General secondary school not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Technical school seconde/form 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Technical school première/lower 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Technical school terminale/upper 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Technical school not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Training school BEPC year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Training school BEPC year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Training school BEPC year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Training school BEPC not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Training school probatoire year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Training school probatoire year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Training school probatoire year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Training school probatoire not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Higher education year 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Higher education year 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Higher education year 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Higher education year 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Higher education year 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Higher education year 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Higher education year 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Higher education year 8+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Higher education not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Not declared
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="CM05A457" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="185" EndPos="185" width="1" RecSegNo="1"/>
      <labl>
        Sleeping place, homeless
      </labl>
      <qstn>
        <qstnLit>
          Sleeping place, homeless
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Q10. Location of sleeping arrangements
The location of the sleeping arrangements is the place where one can find the homeless individual.  The codes for locations likely to shelter homeless people are:


1-markets
2-bus or train station
3-abandoned building
4-sports or theater facility
5-launderette
6-parking garages
7-abandoned garages or vehicles
8-tunnels or bridges
9-others to specify



-Mark the code of the location of sleeping arrangements of the surveyed person in the reserved space.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons in homeless households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a homeless person's sleeping place.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Markets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Bus station, playground, abandoned building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="CM05A458" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="186" width="1" RecSegNo="1"/>
      <labl>
        Main reason for being in the street
      </labl>
      <qstn>
        <qstnLit>
          Main reason for being in the street
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Q11. Main reason for being on the street
The main reason for being on the street for a homeless individual is the main motivation that justifies his abandonment of society.  The codes for the main reason for being on the street are:


1-Search for freedom
2-violence of relatives
3-loss of parents (orphan)
4-divorce of parents
5-homelessness of parents
6-bad company
7-abadonment of education
9-other to specify


Mark the code corresponding to the response in the reserved space.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons in homeless households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a homeless person's principle reason for being in the street.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Looking for freedom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Parents unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Non applicable
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="CM05A459" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="187" EndPos="187" width="1" RecSegNo="1"/>
      <labl>
        Type of residence nomads
      </labl>
      <qstn>
        <qstnLit>
          Type of residence nomads
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons in nomadic households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether people in nomadic households live in urban or rural areas.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V146" name="CM05A461" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="188" EndPos="188" width="1" RecSegNo="1"/>
      <labl>
        Primary activity nomad
      </labl>
      <qstn>
        <qstnLit>
          Primary activity nomad
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons in nomadic households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a the primary activity of a person in a nomadic household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Raising livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V147" name="CM05A462" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="190" width="2" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <qstnLit>
          Household type
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="10" max="40"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's household type.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Ordinary household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other collective households
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Boarding school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Religious institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Military barracks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Orphanage, refugee camp, or hospice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Nomadic household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Apparently homeless
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="CM05A467" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="191" EndPos="191" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Sex

[] Male
[] Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Sex

-Mark the code corresponding to the sex of each person surveyed after his name.

If you have doubts about the sex, you can formulate the question in the following way:
"Just to be certain, is Ramadan a man or a woman?"

-Conversely, avoid questions like "What is you sex, ma'am?"

Codes of the terms of the sex variable are:

1 = Male
2 = Female,


N.B. The answer is required.  Non-responses are not accepted.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's sex.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V149" name="CM05A468" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="192" EndPos="193" width="2" RecSegNo="1"/>
      <labl>
        Relationship to head of household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Each person's relationship to household head _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Family relationship in the household: This is a relation by marriage, by blood, or by adoption that unites the member of the household together.

-Ask one of the following questions:


Q. "Who is X to you?" if the question is asked to the head of household (HH);
Q. "Who are you to the HH?" if the question is asked to the relevant person;
Q. "Who is X to the HH?" if the question is asked to a third party who is neither the head of household, nor the person relevant to this question.


-Mark in the reserved spaces the family relationship code in the household for each person surveyed.


The Codes of the terms of the family relationship variable are the following:


10 = HH
11 = unmarried children of HH whose other parent does not live in the household
20 = spouse of HH
21 = unmarried children of spouse of HH where he is not the other biological parent
22 = unmarried children of the HH and of his spouse
23 = other singletons related to the spouse of the HH
30 = Father or mother of CM, living in the household with his partner in the household and/or their progeny
31 = Spouse of the father or mother of the HH
32 = unmarried children of this couple or to one member of this couple
33 = other singletons related to this couple or to one member of this couple
40 = child of HH or of spouse of HH, living in the household with his spouse and/or their progeny
41 = partner of child of HH
42 = unmarried child of this couple or of one member of this couple
43 = Son-in-law of the HH or daughter-in-law of HH whose spouse (son or daughter of HH) doesn't live in the household
44 = other singletons related to this couple
50 = Brother/sister of HH, living alone or with his spouse and/or their progeny in the household
51 = spouse of brother/sister of household
52 = unmarried child of this couple or of one member of this couple
53 = Brother-in-law or sister-in-law of HH whose spouse (brother or sister of HH) is not in the household
54 = other related singletons to this couple or one of its members
60 = Other relatives of HH, living in the household alone or with his spouse and/or progeny
61 = spouse of ?other relative' of HH
62 = unmarried children of this couple or of one member of this couple
63 = other singletons related to this couple or to one member of this couple
70 = Other relative of the spouse of the HH, living in the household with his spouse and/or their progeny in the household
71 = spouse of in-laws of HH
72 = unmarried children of this couple or of one of its members
73 = Other singletons related to this couple or to one of its members
80 = Person without family relation to HH, living alone or with his spouse and/or their progeny in the household
81 = spouse of person without family relation to HH
82 = unmarried child of this couple or of one of its members
83 = other singleton related to this couple or to one of its members
-on top of pages 2 to 5, in lieu and in place of the names of the household members registered on the page, recopy their order number respecting the columns reserved to each of them]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="10" max="83"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's relationship to the head of household.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Head of houshold
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmarried child of household head (other parent not in household)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Spouse of head of household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Unmarried child of the head's spouse (head not biological parent)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Unmarried child of the household head and his/her spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other single relatives of the head's spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Parent of the head living in household with their spouse or child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spouse of head's mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Unmarried child of one or both members of this couple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Other single persons related to one or both members of this couple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Child of the houshold head or spouse, living in household with their spouse or child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Spouse of household head's child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Unmarried child of one or both members of this couple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Child-in-law of head whose spouse does not live in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Other single relatives of this couple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Brother or sister of the household head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Spouse of brother or sister of head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unmarried child of head's brother/sister
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Head's brother- or sister-in-law (spouse not in household)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Other relative of the head's brother- or sister-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other relatives of the head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Spouse of other relatives of the head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Unmarried child of head's other relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Other single relatives of head's other relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other relatives of head's spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Spouse of head's parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Unmarried child of head's parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Other single relations of head's parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Persons with no relationship to head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Spouse of a person with no relationship to head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Unmarried child of persons with no relationship to head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Other single relatives of person with no relationship to head
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V150" name="CM05A469" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="194" EndPos="195" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

6. Age _ _

Date of birth
Day _ _
Month _
Year _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
6. Age and date of birth


Date of birth:
The date of birth of an individual indicates the day, the month, and the year of their birth.  There are individuals who know the exact date of their birth, there are some who do not know the full date of their birth but know at least the month and the year of their birth.

The age of an individual is the number of years lived by this individual since the day of his birth to today.

The age in years passed expresses the number of whole years lived by this individual since his birth.  The age that will be considered is the age in years passed

If we do not know the exact date of birth of an individual, but only the year of his birth, calculate the age at the birthday reached in the year by calculating the difference of years.  As such, a person who was born in 2000 will be 5 years old in 2005, meaning he will have reached his 5th birthday in 2005.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's age.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V151" name="CM05A471" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="196" EndPos="197" width="2" RecSegNo="1"/>
      <labl>
        Month of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

6. Age _ _

Date of birth
Day _ _
Month _
Year _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
6. Age and date of birth


Date of birth:
The date of birth of an individual indicates the day, the month, and the year of their birth.  There are individuals who know the exact date of their birth, there are some who do not know the full date of their birth but know at least the month and the year of their birth.

The age of an individual is the number of years lived by this individual since the day of his birth to today.

The age in years passed expresses the number of whole years lived by this individual since his birth.  The age that will be considered is the age in years passed

If we do not know the exact date of birth of an individual, but only the year of his birth, calculate the age at the birthday reached in the year by calculating the difference of years.  As such, a person who was born in 2000 will be 5 years old in 2005, meaning he will have reached his 5th birthday in 2005.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V152" name="CM05A472" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="198" EndPos="201" width="4" RecSegNo="1"/>
      <labl>
        Year of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

6. Age _ _

Date of birth
Day _ _
Month _
Year _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
6. Age and date of birth


Date of birth:
The date of birth of an individual indicates the day, the month, and the year of their birth.  There are individuals who know the exact date of their birth, there are some who do not know the full date of their birth but know at least the month and the year of their birth.

The age of an individual is the number of years lived by this individual since the day of his birth to today.

The age in years passed expresses the number of whole years lived by this individual since his birth.  The age that will be considered is the age in years passed

If we do not know the exact date of birth of an individual, but only the year of his birth, calculate the age at the birthday reached in the year by calculating the difference of years.  As such, a person who was born in 2000 will be 5 years old in 2005, meaning he will have reached his 5th birthday in 2005.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1907" max="2005"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's year of birth.
      </txt>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          1907 or earlier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          1908
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          1909
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          1910
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          1911
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          1912
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          1913
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1914
        </catValu>
        <labl>
          1914
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1915
        </catValu>
        <labl>
          1915
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1916
        </catValu>
        <labl>
          1916
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1917
        </catValu>
        <labl>
          1917
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1918
        </catValu>
        <labl>
          1918
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1919
        </catValu>
        <labl>
          1919
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          1920
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          1921
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          1922
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          1923
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          1924
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          1925
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          1926
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1927
        </catValu>
        <labl>
          1927
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1928
        </catValu>
        <labl>
          1928
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1929
        </catValu>
        <labl>
          1929
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          1930
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          1931
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          1932
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1933
        </catValu>
        <labl>
          1933
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1934
        </catValu>
        <labl>
          1934
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1935
        </catValu>
        <labl>
          1935
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V153" name="CM05A473" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="202" width="1" RecSegNo="1"/>
      <labl>
        Urban or rural place of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

7. Place of birth. In which subdivision/district/country was each person born? ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
7. Location of birth
The location of birth is, for people born in Cameroon, the quarter/district in which they were born.  For people born outside of Cameroon, the location of birth if the country where they were born.

If the person being surveyed has civil status certificate or a national identity card, this information exists in those documents:

-Take this information and transcribe it in the questionnaire while respecting the rules below which define the location of birth. 


If the person does not have a civil status certificate, ask him the following question:

Q. Where you born in Cameroon? If the answer is YES,

Ask the following question:

Q. What district or quarter where you born in?
-Mark the answer on the dotted line corresponding with the registration order number of the surveyed person (if it's a quarter that still exists)


If the person was born in Cameroon and knows the town he was born in, but isn't able to connect it to an quarter or a district, ask him the following question:

Q. Which administrative district or grouping is attached to the town in question?
-Do not write anything in the questionnaire.  Take the information from the scratch notebook, specifying the names of those in the household and the order number of the relevant person and inform the team leader so as to find a solution together.  


If the answer is No, the person was born outside of Cameroon, ask him the following question:

Q. Which country were you born in?
-Mark the answer provided on the dotted line corresponding to the registered order number of the surveyed person. 
Q. In which quarter were you born, was _____ born in?
-Then ask him if this location was in a city or a town (based on the location of residence at the time of birth);
-Mark in the proper space the code for his location of birth (1=urban, 2=rural).


Example 2: 

Question: "What quarter was X born in?"
Answer: "Obala".
Additional question: "Was it Obala proper or a village in the district of Obala?"


If it was a village:

-Mark 2, which corresponds to the code for a rural space.


NB. You must consider the changes that occurred after the current administrative re-zoning which may affect the quarter/district of birth of the surveyed person.
Consequently, only mark the current quarter which is attached to the town declared by the surveyed person. 


-Ask for his birth country if he was born abroad.
-Mark the name of this country on the dotted line that corresponds to the registration order of the surveyed person.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's birthplace.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V154" name="CM05A474" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="205" width="3" RecSegNo="1"/>
      <labl>
        Arrondissement of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

7. Place of birth. In which subdivision/district/country was each person born? ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
7. Location of birth
The location of birth is, for people born in Cameroon, the quarter/district in which they were born.  For people born outside of Cameroon, the location of birth if the country where they were born.

If the person being surveyed has civil status certificate or a national identity card, this information exists in those documents:

-Take this information and transcribe it in the questionnaire while respecting the rules below which define the location of birth. 


If the person does not have a civil status certificate, ask him the following question:

Q. Where you born in Cameroon? If the answer is YES,

Ask the following question:

Q. What district or quarter where you born in?
-Mark the answer on the dotted line corresponding with the registration order number of the surveyed person (if it's a quarter that still exists)


If the person was born in Cameroon and knows the town he was born in, but isn't able to connect it to an quarter or a district, ask him the following question:

Q. Which administrative district or grouping is attached to the town in question?
-Do not write anything in the questionnaire.  Take the information from the scratch notebook, specifying the names of those in the household and the order number of the relevant person and inform the team leader so as to find a solution together.  


If the answer is No, the person was born outside of Cameroon, ask him the following question:

Q. Which country were you born in?
-Mark the answer provided on the dotted line corresponding to the registered order number of the surveyed person. 
Q. In which quarter were you born, was _____ born in?
-Then ask him if this location was in a city or a town (based on the location of residence at the time of birth);
-Mark in the proper space the code for his location of birth (1=urban, 2=rural).


Example 2: 

Question: "What quarter was X born in?"
Answer: "Obala".
Additional question: "Was it Obala proper or a village in the district of Obala?"


If it was a village:

-Mark 2, which corresponds to the code for a rural space.


NB. You must consider the changes that occurred after the current administrative re-zoning which may affect the quarter/district of birth of the surveyed person.
Consequently, only mark the current quarter which is attached to the town declared by the surveyed person. 


-Ask for his birth country if he was born abroad.
-Mark the name of this country on the dotted line that corresponds to the registration order of the surveyed person.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's arrondissement of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mayo Baleo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Djohong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Lembe Yezoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          SAA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Deuk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Awae
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Esse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Afanloum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Nguibassal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Dibang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Messondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Biyouha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Ngok Mapubi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Akoeman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Mengueme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Salalomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Ngoyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Nguelemedouka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mboma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Ndem-Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mbotoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Bombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Garoua-Boulaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hile-Halifa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Zina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Waza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Nkondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Nord-Makombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Yabassi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Yingui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Mouanko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          Nyanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Massok-Songloulou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Douala 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Fungom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Bakou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Banwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Batie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Bayangam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Bassamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Bazou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Dikome-Balue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          Idabato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Isanguele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Kombo Abedimo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Kombo-Itindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Toko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V155" name="CM05A521" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="206" EndPos="208" width="3" RecSegNo="1"/>
      <labl>
        Country of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

7. Place of birth. In which subdivision/district/country was each person born? ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
7. Location of birth
The location of birth is, for people born in Cameroon, the quarter/district in which they were born.  For people born outside of Cameroon, the location of birth if the country where they were born.

If the person being surveyed has civil status certificate or a national identity card, this information exists in those documents:

-Take this information and transcribe it in the questionnaire while respecting the rules below which define the location of birth. 


If the person does not have a civil status certificate, ask him the following question:

Q. Where you born in Cameroon? If the answer is YES,

Ask the following question:

Q. What district or quarter where you born in?
-Mark the answer on the dotted line corresponding with the registration order number of the surveyed person (if it's a quarter that still exists)


If the person was born in Cameroon and knows the town he was born in, but isn't able to connect it to an quarter or a district, ask him the following question:

Q. Which administrative district or grouping is attached to the town in question?
-Do not write anything in the questionnaire.  Take the information from the scratch notebook, specifying the names of those in the household and the order number of the relevant person and inform the team leader so as to find a solution together.  


If the answer is No, the person was born outside of Cameroon, ask him the following question:

Q. Which country were you born in?
-Mark the answer provided on the dotted line corresponding to the registered order number of the surveyed person. 
Q. In which quarter were you born, was _____ born in?
-Then ask him if this location was in a city or a town (based on the location of residence at the time of birth);
-Mark in the proper space the code for his location of birth (1=urban, 2=rural).


Example 2: 

Question: "What quarter was X born in?"
Answer: "Obala".
Additional question: "Was it Obala proper or a village in the district of Obala?"


If it was a village:

-Mark 2, which corresponds to the code for a rural space.


NB. You must consider the changes that occurred after the current administrative re-zoning which may affect the quarter/district of birth of the surveyed person.
Consequently, only mark the current quarter which is attached to the town declared by the surveyed person. 


-Ask for his birth country if he was born abroad.
-Mark the name of this country on the dotted line that corresponds to the registration order of the surveyed person.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's country of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Other Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Other Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Afganistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          North Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          699
        </catValu>
        <labl>
          Other Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          England
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown foreign country
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V156" name="CM05A475" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="209" EndPos="209" width="1" RecSegNo="1"/>
      <labl>
        Marital Status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

8. Marital status _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
8. Marital status

N.B. The question on marital status is only asked to men over the age of 15 and women over the age of 12.

Marital status is defined by the existence or not of a marital relationship between two people of opposite  sex.  Considering laws and customs in effect, we distinguish:


Single: all people who have never been married are considered single.


Married: all people joined by law, tradition, or religion to another person of opposite sex are considered married.


Separated: all people who were left by or separated from their spouse, legally or not, but for whom the divorce hasn't been declared are considered separated; nevertheless, a polygamous man separated from one of his spouses remains married.


Divorced: all people who broke all ties (legally or traditional) which joined them to a spouse and who did not remarry are considered divorced, nevertheless, a polygamist who divorced one of his wives remains married.


Widow: All people whose spouse is deceased, and who did not remarry are considered widows, nevertheless, a polygamist with a spouse who died remains married.


Cohabitation: all people who cohabitate with a person of the opposite sex without a civil, traditional, or religious marriage

The codes of the terms of the marital status variable are:


0 = single
1 = man married to 1 spouse or woman married to 1 man having 1 spouse
2 = man married to 2 women or woman married to 1 man having 2 spouses
3 =  man married to 3 women or woman married to 1 man having 3 spouses
4 =  man married to 4 women or woman married to 1 man having 4 spouses
5 =  man married to 5 or more women or woman married to 1 man having 5 or more spouses
6 = cohabitation
7 = separated
8 = divorced
9 = widow



Q. Are you, is _______ married?
-Mark  in the proper space the marital status code provided.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's marital status. Marital status was asked of men ages 15 and older and women ages 12 and older. Persons under these ages are included in the never-married category.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Single
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Man married to 1 spouse or woman married to 1 man having 1 spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Man married to 2 women or woman married to 1 man having 2 spouses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Man married to 3 women or woman married to 1 man having 3 spouses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Man married to 4 women or woman married to 1 man having 4 spouses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Man married to 5 or more women or woman married to 1 man having 5 or more wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Cohabitation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V157" name="CM05A476" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="210" EndPos="210" width="1" RecSegNo="1"/>
      <labl>
        Residential status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

9. Residential status

[] Present resident
[] Absent resident
[] Visitor]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
9. Living situation
The concept of living/residence is linked to that of the usual home as well as to the length of time spent in that household or out of that household, which is based on the length of reference which starts at 6 months (based on the survey date).

As such, a person is considered a "resident" in the household if they have habitually lived there for 6 months or for less than 6 months but with the intention to stay more than 6 months (example: a newly married woman; a civil servant newly appointed and joined by his family).  This variable allows us to class individuals based on their stay in the household.

The Codes of the terms of the living situation variable are:


1-Resident present
2-Resident absent
3-Visitor 


A resident is considered a Present Resident if he spend the night before the first visit by the survey agent in the household.  Nevertheless, a baby born the day of the visit by the surveying agent should be considered a present resident member of the household even if he is still in the hospital with his mother who is also considered a present resident in the household.

A resident is considered absent if he did not spend the night before the first visit by the surveying agent in the household. This absence should not exceed more than 6 months.

All non-resident individuals having spent the night before the first visit by the survey agent are considered visitors. The total length of his stay in the household should not exceed 6 months.  

A person registered as an "absent resident' on the first visit keeps that status even if he returns to the household over the surveying period.  This person can answer the question regarding himself.  Similarly, a person with the status of "present resident" keep this status even if he travels after the first visit to the household.  Thus after the first visit of the surveying agent, it is impossible to update the list of members of the household. 

People working at night have the status of present resident if they spend the night before the first visit of the surveying agent in their place of work. 

-Mark in the space provided the code of living situation of the surveyed person.



Attention: All students living in dormitories or going to school elsewhere and spending the night before your first visit in the household elsewhere must be surveyed as visitors.

N.B. Residents being held at any type of police station will be surveyed in their normal household.  Conversely, prisoners will be surveyed in their communal household.  Those accompanying ailing non-residents will be surveyed in the communal household whereas those accompanying residents will be surveyed in their normal household.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's residential status in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Present resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Absent resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="CM05A477" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="211" EndPos="211" width="1" RecSegNo="1"/>
      <labl>
        Visitor's usual place of residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

10. What is each visitor's usual place of residence? _ _

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

10. Usual location of residence

NB.: This variable is only used for visitors (CF. Question 9 for sorting)
The usual location of residence of visitors is the quarter or district where the surveyed person lived for more than 6 months, or where he has the intention of living for more than 6 months if he has lived there for less than 6 months. 

Q. Where does _______ usually live?
-Mark this name (quarter/district or foreign country) on the dotted line corresponding to the registered order of the surveyed person.

Attention: Two situations may present themselves:

a) For visitors who reside in Cameroon,

-Mark on the dotted line corresponding to the registered order the name of the current quarter or district where the visitor usually lives.

b) For visitors who reside outside of Cameroon,

-Mark in the full name on the dotted line corresponding to the registered order the name of the country where the visitor usually lives.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Visitors to the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates if a visitor's usual place of residence or urban or rural.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V159" name="CM05A478" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="212" EndPos="214" width="3" RecSegNo="1"/>
      <labl>
        Visitor's usual arrondissment or country of residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

10. What is each visitor's usual place of residence? _ _

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

10. Usual location of residence

NB.: This variable is only used for visitors (CF. Question 9 for sorting)
The usual location of residence of visitors is the quarter or district where the surveyed person lived for more than 6 months, or where he has the intention of living for more than 6 months if he has lived there for less than 6 months. 

Q. Where does _______ usually live?
-Mark this name (quarter/district or foreign country) on the dotted line corresponding to the registered order of the surveyed person.

Attention: Two situations may present themselves:

a) For visitors who reside in Cameroon,

-Mark on the dotted line corresponding to the registered order the name of the current quarter or district where the visitor usually lives.

b) For visitors who reside outside of Cameroon,

-Mark in the full name on the dotted line corresponding to the registered order the name of the country where the visitor usually lives.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Visitors to the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the country of a visitor's usual place of residence.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mayo Baleo and Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Banyo and Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Djohong and Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Lembe Yezoum and Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Batchenga and Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          SAA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Deuk, Makenene, and Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Awae and Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Esse, Afanloum, and Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Other arrondissement in Nyong et Kelle department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Akonolinga and Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Akoeman, Mengueme and Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Other arrondissement in Haut Nyong department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Other arrondissement in Kadey departemnt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Garoua-Boulaï and Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Gazawa, Ndoukoula, and Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Other arrondissement in Logone et Chari department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Datcheka, Kalfou, and Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Porhi and Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Bourrha and Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Mbanga and Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Nkongsamba and Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Nkam Department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Other arrondissement in Sanaga Maritime department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Douala 5 and Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Other arrondissement in Benoue department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Faro department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Belo and Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Fungom and Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Mbengwi and Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Batcham and Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Other arrondissement in Haut Nkam department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Batie and Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Bayangam and Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Penka-Michel and Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Other arrondissement in Nde department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Mvangan and Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Niete and Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Limbe and West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Other arrondissement in Ndian department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Cameroon, unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Other Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Other Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="CM05A479" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="215" EndPos="215" width="1" RecSegNo="1"/>
      <labl>
        Urban-rural status in 2000
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

11. What was each person's main place of residence in 2000? _____

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11 and after should only be asked to present and absent household residents.


11. Place of residence in 2000
The variable for the place of residence in 2000 is for all people born before January 1 2000.  Ask all these people the following questions:

What was your main place of residence in 2000?


If the main place of residence was Cameroon,

-Mark the quarter or the district on the dotted line corresponding to the registration order number of the surveyed person.


If the main location of residence is outside of Cameroon, 

-Mark the country on the dotted line corresponding to the registration order number of the surveyed person.
-Then ask them if the location was a city or a village
-Mark in the proper space the place of residence code in 2000 (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether or not a person's place of residence in 1998 or 2000 was urban or rural.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="CM05A480" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="216" EndPos="218" width="3" RecSegNo="1"/>
      <labl>
        Arrondissement of residence in 2000
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

11. What was each person's main place of residence in 2000? _____

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11 and after should only be asked to present and absent household residents.


11. Place of residence in 2000
The variable for the place of residence in 2000 is for all people born before January 1 2000.  Ask all these people the following questions:

What was your main place of residence in 2000?


If the main place of residence was Cameroon,

-Mark the quarter or the district on the dotted line corresponding to the registration order number of the surveyed person.


If the main location of residence is outside of Cameroon, 

-Mark the country on the dotted line corresponding to the registration order number of the surveyed person.
-Then ask them if the location was a city or a village
-Mark in the proper space the place of residence code in 2000 (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the arrondissement of a person's residence in 1998 or 2000.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mayo Baleo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Djohong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Lembe Yezoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          SAA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Deuk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Awae
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Esse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Afanloum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Nguibassal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Dibang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Messondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Biyouha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Ngok Mapubi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Akoeman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Mengueme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Salalomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Ngoyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Nguelemedouka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mboma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Ndem-Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mbotoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Bombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Garoua-Boulaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hile-Halifa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Zina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Waza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Nkondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Nord-Makombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Yabassi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Yingui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Mouanko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          Nyanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Massok-Songloulou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Douala 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Fungom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Bakou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Banwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Batie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Bayangam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Bassamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Bazou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Dikome-Balue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          Idabato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Isanguele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Kombo Abedimo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Kombo-Itindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Toko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V162" name="CM05A524" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="219" EndPos="220" width="2" RecSegNo="1"/>
      <labl>
        Department of residence in 2000
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

11. What was each person's main place of residence in 2000? _____

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11 and after should only be asked to present and absent household residents.


11. Place of residence in 2000
The variable for the place of residence in 2000 is for all people born before January 1 2000.  Ask all these people the following questions:

What was your main place of residence in 2000?


If the main place of residence was Cameroon,

-Mark the quarter or the district on the dotted line corresponding to the registration order number of the surveyed person.


If the main location of residence is outside of Cameroon, 

-Mark the country on the dotted line corresponding to the registration order number of the surveyed person.
-Then ask them if the location was a city or a village
-Mark in the proper space the place of residence code in 2000 (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the department of a person's residence in 1998 or 2000.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Faro et Deo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mayo Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mbere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Vina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Haute Sanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lekie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mbam et Inubou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mbam et Kim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mefou et Afamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Mefou et Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mfoundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nyong et Kelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nyong et Mfoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyong et So'o
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Bouba et Ngoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Haut Nyong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kadey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Lom et Kjerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Diamare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Logone et Chari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Mayo Danay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Mayo Kani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Mayo Sava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Mayo Tsanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Moungo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sanaga Maritime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Wouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Benoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Faro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Mayo Louti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Mayo Rey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Boyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Bui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Donga Mantun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Menchum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Mezam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Momo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Ngo Ketungja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Bamboutos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Haut Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Hauts Plateaux
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Koung Khi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Menoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Mifi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Nde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Noun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Dja et Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mvilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Ocean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Valle du Ntem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Fako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Koupe et Manengouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Lebialem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Manyu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Meme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Ndian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Unknown department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V163" name="CM05A525" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="221" EndPos="222" width="2" RecSegNo="1"/>
      <labl>
        Province of residence in 2000
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

11. What was each person's main place of residence in 2000? _____

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11 and after should only be asked to present and absent household residents.


11. Place of residence in 2000
The variable for the place of residence in 2000 is for all people born before January 1 2000.  Ask all these people the following questions:

What was your main place of residence in 2000?


If the main place of residence was Cameroon,

-Mark the quarter or the district on the dotted line corresponding to the registration order number of the surveyed person.


If the main location of residence is outside of Cameroon, 

-Mark the country on the dotted line corresponding to the registration order number of the surveyed person.
-Then ask them if the location was a city or a village
-Mark in the proper space the place of residence code in 2000 (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the province of a person's residence in 1998 or 2000.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Adamoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Est
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Extrème Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Littoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nord Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Sud Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Unknown province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="CM05A522" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="223" EndPos="225" width="3" RecSegNo="1"/>
      <labl>
        Country of residence in 2000
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

11. What was each person's main place of residence in 2000? _____

See code list 
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11 and after should only be asked to present and absent household residents.


11. Place of residence in 2000
The variable for the place of residence in 2000 is for all people born before January 1 2000.  Ask all these people the following questions:

What was your main place of residence in 2000?


If the main place of residence was Cameroon,

-Mark the quarter or the district on the dotted line corresponding to the registration order number of the surveyed person.


If the main location of residence is outside of Cameroon, 

-Mark the country on the dotted line corresponding to the registration order number of the surveyed person.
-Then ask them if the location was a city or a village
-Mark in the proper space the place of residence code in 2000 (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the country of a person's residence in 1998 or 2000.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Other Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Other Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Afganistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          South Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          699
        </catValu>
        <labl>
          Other Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          England
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V165" name="CM05A481" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="226" EndPos="226" width="1" RecSegNo="1"/>
      <labl>
        Urban-rural status of previous residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

12. Former place of residence
Where was [person] living before settling in the current place of residence (usual place)? ____ _

See code list
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

12. Former place of residence
The former place of residence is the quarter or the district where the surveyed person lived (for at least 6 months) right before moving to the place of residence during the surveying of Cameroon, or the country if they lived abroad.	

Where did ____ live before moving to the current, typical place of residence?

-Mark the name (quarter/district or foreign country) on the dotted line corresponding to the registration order number of the surveyed person.

If the answer is Yes, 2 situations may present themselves

a) The former place of residence was in Cameroon,


-Mark the name of the quarter or district corresponding to the former place of residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. Was the town in which you lived in this quarter or in this district the main authority of the quarter or district or of a village?
b) The former place of residence was outside of Cameroon,


-Mark the full name of the country of former residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. The town that you lived in, in this country, was it in an urban location (city) or a rural one (village)?

[Examples omitted]

Then ask him the following question:

Q. Did you live in Mbalmayo or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)

[Example C omitted]

Then ask him the following question:

Q. Did you live in Sa'a or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's urban or rural previous place of residence.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="CM05A482" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="227" EndPos="229" width="3" RecSegNo="1"/>
      <labl>
        Arrondissement of previous residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

12. Former place of residence
Where was [person] living before settling in the current place of residence (usual place)? ____ _

See code list
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

12. Former place of residence
The former place of residence is the quarter or the district where the surveyed person lived (for at least 6 months) right before moving to the place of residence during the surveying of Cameroon, or the country if they lived abroad.	

Where did ____ live before moving to the current, typical place of residence?

-Mark the name (quarter/district or foreign country) on the dotted line corresponding to the registration order number of the surveyed person.

If the answer is Yes, 2 situations may present themselves

a) The former place of residence was in Cameroon,


-Mark the name of the quarter or district corresponding to the former place of residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. Was the town in which you lived in this quarter or in this district the main authority of the quarter or district or of a village?
b) The former place of residence was outside of Cameroon,


-Mark the full name of the country of former residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. The town that you lived in, in this country, was it in an urban location (city) or a rural one (village)?

[Examples omitted]

Then ask him the following question:

Q. Did you live in Mbalmayo or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)

[Example C omitted]

Then ask him the following question:

Q. Did you live in Sa'a or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's previous arrondissement or country of residence.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ngaoundal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tibati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Galim Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mayo Baleo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kontcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Tignere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bankim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mayo Darlé
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Dir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Djohong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Ngaoui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Meiganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Belel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Ngaoundéré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Mbandjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Minta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Nanga Eboko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Bibey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Lembe Yezoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Nsem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Nkoteng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Ebebda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Elig Mfomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Evodoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Monatele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Obala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Batchenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Okola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          SAA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Bokito
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Deuk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Makenene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Ndikinimiki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Nitoukou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Ombessa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Mbangassina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Ngambe Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Ngoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Ntui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Yoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Awae
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Assamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Esse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Afanloum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Edzendouan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Nkolafamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Bikok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Mbankomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Ngoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Yaounde I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Yaounde II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Yaounde III
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Yaounde IV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Yaounde V
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yaounde VI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Bot Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Nguibassal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Dibang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Eseka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Makak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Matomb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Messondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Biyouha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Ngok Mapubi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Akonolinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Mengang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Ayos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Nyakombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Endom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Dzeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Mbalmayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Akoeman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Mengueme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Nkolmetet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Ngomedzap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Gari Gombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Moloundou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Salapoumbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Yokadouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Abong Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Bebeng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Dja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Mboanz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Dimako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Doume
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Doumaintang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Lomie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Messok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Messamena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Salalomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Ngoyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Nguelemedouka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mboma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Batouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Ndem-Nam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Kette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mbotoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Mbang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Ndelele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Bombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Belabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Bétaré-Oya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Ngoura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Bertoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Garoua-Boulaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Bogo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Gazawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Maroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Dargala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Ndoukoula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Meri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Pette
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Blangoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Darak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Fotokol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Goulfey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hile-Halifa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Kousseri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          Logone-Birni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Zina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Makari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Waza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Datcheka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Gobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Guere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Kaïkaï
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Kalfou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Kar-Hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          Maga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Tchatibali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Vele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Wina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Yagoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Guidiguis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Kaele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Mindif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Moulvoudaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          Moutourwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Porhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Taïbong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kolofata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Tokombere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Bourrha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Hina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Koza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Mayo-Moskota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          Mogode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Mokolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Soulede Roua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Bare-Bakem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Dibombari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Fiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Loum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Manjo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          Mbanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          Mombo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Melong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Njombe-Penja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Nkongsamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Nlonako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Nkondjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Nord-Makombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Yabassi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Yingui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Dizangue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Edéa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Mouanko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Ndom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          Nyanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Ngambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Massok-Songloulou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Pouma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Douala 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Douala 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Douala 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Douala 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Douala 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Manoka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Bibemi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Dembo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Lagdo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Garoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Bascheo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Demsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Touroua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Pitoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          Tcheboa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Beka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Poli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Figuil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Guider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Mayo-Oulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Rey-Bouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Tcholliré
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Madingring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Touboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Belo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Fundong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Njinikom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Jakiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Kumbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Mbven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Noni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Ako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Misaje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ndu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Nkambe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Nwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Fungom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Furu-Awa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Menchum-Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Wum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          bamenda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Santa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Tubah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Batibo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Mbengwi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Ngie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Njikwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Widikum-Menka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Babessi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Balikumbat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          Ndop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Babadjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Batcham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Galim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Mbouda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Bafang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Bakou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Bandja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Kekem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Banwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Baham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Bamendjou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Batie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Bangou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Bayangam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Poumougne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Djebem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Dschang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Fokoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Nkong-Ni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Penka-Michel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Santchou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Bafoussam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Baleng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Bamougoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Bangangte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Bassamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Bazou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Bangourain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Foumban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Foumbot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Kouoptamo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Koutaba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Magba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Malentouen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Massangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Bengbis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Djoum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          Meyomessala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          Mintom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Oveng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Sangmelima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Zoetele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Biwong-Bane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Ebolowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Mengong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Mvangan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          Ngoulemakong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          Akom II
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Niete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Bipindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Campo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Kribi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Lolodorf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Mvengue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Ambam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Ma'an
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Olamze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Buea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          West-Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Limbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Muyuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Tiko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Banguem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Nguti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Tombel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Alou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Fontem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Wabane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Akwaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Eyumodjock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Mamfe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Upper Bayang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Kumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Konye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Mbonge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Bamusso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Ekondo Titi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Dikome-Balue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          Idabato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Isanguele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Kombo Abedimo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Kombo-Itindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Mumdemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Toko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Unknown arrondissement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V167" name="CM05A526" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="230" EndPos="231" width="2" RecSegNo="1"/>
      <labl>
        Department of previous residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

12. Former place of residence
Where was [person] living before settling in the current place of residence (usual place)? ____ _

See code list
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

12. Former place of residence
The former place of residence is the quarter or the district where the surveyed person lived (for at least 6 months) right before moving to the place of residence during the surveying of Cameroon, or the country if they lived abroad.	

Where did ____ live before moving to the current, typical place of residence?

-Mark the name (quarter/district or foreign country) on the dotted line corresponding to the registration order number of the surveyed person.

If the answer is Yes, 2 situations may present themselves

a) The former place of residence was in Cameroon,


-Mark the name of the quarter or district corresponding to the former place of residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. Was the town in which you lived in this quarter or in this district the main authority of the quarter or district or of a village?
b) The former place of residence was outside of Cameroon,


-Mark the full name of the country of former residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. The town that you lived in, in this country, was it in an urban location (city) or a rural one (village)?

[Examples omitted]

Then ask him the following question:

Q. Did you live in Mbalmayo or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)

[Example C omitted]

Then ask him the following question:

Q. Did you live in Sa'a or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's previous department of residence.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Faro et Deo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mayo Banyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mbere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Vina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Haute Sanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lekié
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mbam et Inoubou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mbam et Kim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mefou et Afamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Mefou et Akono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mfoundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nyong et Kelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nyong et Mfoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyong et So'o
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Boumba et Ngoko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Haut Nyong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kadey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Lom et Djerem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Diamare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Logone et Chari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Mayo Danay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Mayo Kani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Mayo Sava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Mayo Tsanaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Moungo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sanaga Maritime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Wouri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Benoue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Faro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Mayo Louti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Mayo Rey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Boyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Bui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Donga Mantung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Menchum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Mezam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Momo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Ngo Ketungja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Bamboutos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Haut Nkam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Hauts Plateaux
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Koung Khi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Menoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Mifi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Nde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Noun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Dja et Lobo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mvilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Océan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Vallée du Ntem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Fako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Koupe et Manengouba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          "
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Lebialem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Meme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Ndian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="CM05A527" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="232" EndPos="233" width="2" RecSegNo="1"/>
      <labl>
        Province of previous residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

12. Former place of residence
Where was [person] living before settling in the current place of residence (usual place)? ____ _

See code list
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

12. Former place of residence
The former place of residence is the quarter or the district where the surveyed person lived (for at least 6 months) right before moving to the place of residence during the surveying of Cameroon, or the country if they lived abroad.	

Where did ____ live before moving to the current, typical place of residence?

-Mark the name (quarter/district or foreign country) on the dotted line corresponding to the registration order number of the surveyed person.

If the answer is Yes, 2 situations may present themselves

a) The former place of residence was in Cameroon,


-Mark the name of the quarter or district corresponding to the former place of residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. Was the town in which you lived in this quarter or in this district the main authority of the quarter or district or of a village?
b) The former place of residence was outside of Cameroon,


-Mark the full name of the country of former residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. The town that you lived in, in this country, was it in an urban location (city) or a rural one (village)?

[Examples omitted]

Then ask him the following question:

Q. Did you live in Mbalmayo or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)

[Example C omitted]

Then ask him the following question:

Q. Did you live in Sa'a or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's previous province of residence.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Adamoua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Est
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Extrème Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Littoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Nord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nord Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Sud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Sud Ouest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="CM05A523" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="234" EndPos="236" width="3" RecSegNo="1"/>
      <labl>
        Country of previous residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

12. Former place of residence
Where was [person] living before settling in the current place of residence (usual place)? ____ _

See code list
[] Urban
[] Rural]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

12. Former place of residence
The former place of residence is the quarter or the district where the surveyed person lived (for at least 6 months) right before moving to the place of residence during the surveying of Cameroon, or the country if they lived abroad.	

Where did ____ live before moving to the current, typical place of residence?

-Mark the name (quarter/district or foreign country) on the dotted line corresponding to the registration order number of the surveyed person.

If the answer is Yes, 2 situations may present themselves

a) The former place of residence was in Cameroon,


-Mark the name of the quarter or district corresponding to the former place of residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. Was the town in which you lived in this quarter or in this district the main authority of the quarter or district or of a village?
b) The former place of residence was outside of Cameroon,


-Mark the full name of the country of former residence on the dotted line corresponding to the registration order number of the surveyed person.


Then ask the following question:

Q. The town that you lived in, in this country, was it in an urban location (city) or a rural one (village)?

[Examples omitted]

Then ask him the following question:

Q. Did you live in Mbalmayo or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)

[Example C omitted]

Then ask him the following question:

Q. Did you live in Sa'a or a village in this quarter or in this district?
-Mark in the space provided the code for the former place of residence (1 = urban, 2 = rural)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's previous country of residence.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Other Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Other Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          North Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          644
        </catValu>
        <labl>
          East Timor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          699
        </catValu>
        <labl>
          Other Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          England
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          735
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="CM05A483" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="237" EndPos="239" width="3" RecSegNo="1"/>
      <labl>
        Number of years in current place of residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

13. Length of time spent at usual place of residence
For how many years has each person been living in this subdivision? _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

13. Length of stay
This is the amount of time in years passed (whole number of years passed) since the person moved to the quarter or district where they currently live.

Q. How many years have you lived/has ______ lived in this quarter/district/country?


If a person is a resident, that means they are a long term resident in the quarter/district you are surveying.

a) If the quarter or the district of birth is the same as the current location of residence and as the former location of residence, then the person in question has never moved, they live in the current quarter/district since birth.

-Mark "since birth" on the dotted line corresponding to the registration order number of the surveyed person.

If the length of the residence is less than one year,

-Mark ?00' in the reserved space while respecting the registration order number of the surveyed person.


For people who have had a length of residence of less than 98 years, 

-Mark the length of residence in the reserved space

For people who have a length of stay over to or equal to 98 years, 

-Mark 98 in the reserved spaces]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of years spent in a person's usual place of residence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V171" name="CM05A484" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="240" EndPos="242" width="3" RecSegNo="1"/>
      <labl>
        Nationality
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

14. Nationality
What is each person's nationality? _ _

See code list]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

14. Nationality
Attention: The "Ethnicity" variable was withdrawn from the final list of variables in the 3rd RGPH.  For Cameroonians as well as for foreigners, we only ask the question on "Nationality"

Nationality is the belonging as a citizen of one person to one country or to one state.

Q. What is your nationality?
-Mark in the abbreviated form CAM for all people with the Cameroonian nationality
-For all other nationalities, legibly mark the name of the country on the dotted line corresponding to the registration order number of the surveyed person;
-Record the first nationality mentioned by the individuals with dual citizenship]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="407" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's nationality.
      </txt>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Other African
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Other nations in the Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          699
        </catValu>
        <labl>
          Other Asian and Oceanian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          England
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other European
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V172" name="CM05A485" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="243" EndPos="243" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

15. Religious denomination
What is each person's religious denomination?

[] Catholic
[] Protestant
[] Other Christians
[] Muslim
[] Atheist
[] Other religion
[] Without religion]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

15. Religion

Q. What is your religion?/ What is _____'s religion?


Religion is a set of beliefs and practices which govern the relationship between a person and a divinity or in a general way, the sacred.  There are conventional religions and traditional religions. The codes of the terms of the religion variable for the 3rd RGPH are:

1. Catholic: this category groups together the Roman Catholic Church
2. Orthodox: these are member of the Orthodox Church
3. Protestant: This term includes the Cameroonian Presbyterian Church (EPC), the Union of Baptist Churches of Cameroon (UEBC), the Lutheran Church, the Methodist Church, the Evangelical Church of Cameroon (EEC), the African Presbyterian Church (EPA), the 7th Day Adventist Church, the Cameroonian Orthodox Presbyterian Church, (EPCO), the Native Baptist Convention (NBC)
4. Other Christian: This term groups all other Christian religions such as Pentecostals, the True Church of Christ, the Messianic Evangelic Church of Cameroon (EMEC), the Apostolic Church, The Mission of the Full Gospel, the Living World Fellowship, The Bethel Mission, Jehovah's Witnesses, and all other Christian churches not classified elsewhere.  
5. Muslim: this category groups together all those who profess to the Islamic religion, all types mixed together.
6. Animist: this category groups together all followers of animism (a belief that attributes a soul to all animals, all phenomenon, and all natural objects)
7. Other religion
8: Free thinker: this category groups together all those who do not claim any religion and who have their own way of thinking on this subject.


-Mark in the reserved space the religion code of the person surveyed.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's religion.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Free thinker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V173" name="CM05A486" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="244" EndPos="245" width="2" RecSegNo="1"/>
      <labl>
        Disability
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

16. Chronic disease, handicap
Has the person any chronic disease? _ _
Does the person have any predominant handicap? _ _ _

See code list]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

16. Chronic illness/dominant handicap




b- Handicap
A handicap is the disadvantage that a person endures due to  a disability or an infirmity which prevents him from fulfilling completely or partially a task that could normally be done by a person similar to him in age, sex, and different cultural factors. 

One is considered handicapped if they need the assistance of specific equipment. As such, a handicapped person is one does not have complete physical or mental autonomy.

Here is a list of basic handicaps that the 3rd RGPH has retained:


Basic terms			Code
No handicap			00
Deaf				01
Mute				02
Blind				04
Leprous			08
Upper limbs disabled		16
Lower limbs disabled		32
Mental illness			64
Albino				128
Other handicap		256



-Ask the following question:
Q. Does the surveyed person have a/any handicap/s?

NB: If the handicap is clearly visible, mark it and go on to the following question.

-Mark after the vertical line the handicap code or codes, on the dotted line corresponding to the order number of the surveyed person.


[Examples omitted]]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of disability a person may have.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No handicap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Deaf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Deaf and mute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Blind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Blind and deaf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Blind and mute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Leper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Upper limb diability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Lower limb disability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mental deficiency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Albino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other handicap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V174" name="CM05A487" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="246" EndPos="247" width="2" RecSegNo="1"/>
      <labl>
        Chronic disease
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

16. Chronic disease, handicap
Has the person any chronic disease? _ _
Does the person have any predominant handicap? _ _ _

See code list]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

16. Chronic illness/dominant handicap




a- Chronic illness
A chronic illness is all illnesses that evolve slowly, are prolonged and remain for a long time.  The chronic illnesses which are objects of study in the framework of the 3rd GRPH are:


Basic Terms			Code
No chronic illness		00
Diabetes			01
Hypertension			02
Cancer				03
Asthma			04
Tuberculosis			05
Sickle cell anemia		06
Epilepsy			07


To get the response related to the chronic illness, ask the surveyed person the 7 following questions:


Q1. Are you/is _____ suffering from diabetes?
Q2. Are you/is _____ suffering from hypertension?
Q3. Are you/is _____ suffering from cancer?
Q4. Are you/is _____ suffering from asthma?
Q5. Are you/is _____ suffering from tuberculosis?
Q6. Are you/is _____ suffering from sickle cell anemia?
Q7. Are you/is _____ suffering from epilepsy?


If the answer is Yes to any of these questions,

-Mark the code/s for the chronic illness/es on the dotted line corresponding to the registration order number of the surveyed person.


If at the end of the series of seven questions, the answers are No, 

-Mark ?00' on the on the dotted line corresponding to the registration order number of the surveyed person, meaning that the person doesn't have any of these illnesses.
-Mark a vertical line to note the difference between these answers and the handicap variable.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates if a person has a type of chronic disease.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No chronic disease
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Diabetes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hypertension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Diabetes and Hypertension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Cancer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Cancer with other combinations of Hypertension and Diabetes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Asthma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Asthma and Hypertension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Asthma, Diabetes and Hypertention
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Asthma and Cancer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Asthma and other disease, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tuberculosis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Tuberculosis and Cancer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Tuberculosis, Cancer and Diabetes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Tuberculosis, Cancer and Hypertension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Tuberculosis, Asthma, Cancer and Hypertension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Tuberculosis with other diseases or disease combinations, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Sickle cell
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Sickle cell and Asthma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Sickle cell, Asthma and Diabetes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Sickle cell, Asthma and Cancer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Sickle cell and Tuberculosis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sickle cell, Tuberculosis and Hypertension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Sickle cell, Tuberculosis, Asthma and Cancer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Sickle cell and other diseases or disease combinations, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Epilepsy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V175" name="CM05A488" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="248" EndPos="248" width="1" RecSegNo="1"/>
      <labl>
        Father still alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

17. Survival of the father
Is the father still alive?

[] Yes
[] No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

17. Survival of father
This is a matter of knowing if the father of the surveyed person is still alive or is deceased.

Q. If your father/ ______'s father still alive?
-Mark in the proper space the code corresponding to the answer provided (1 = Yes, 2 = No, 3 = Don't know)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person's father is still alive.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V176" name="CM05A489" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="249" EndPos="249" width="1" RecSegNo="1"/>
      <labl>
        Mother still alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

18. Survival of the mother 
Is the mother still alive?

[] Yes
[] No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

18. Survival of mother
This is a matter of knowing if the mother of the surveyed person is still alive or is deceased.

Q. Is your mother/ ______'s mother still alive?
-Mark in the proper space the code corresponding to the answer provided (1 = Yes, 2 = No, 3 = Don't know)



N.B. This is regarding biological parents.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person's mother is still alive.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V177" name="CM05A490" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="250" EndPos="251" width="2" RecSegNo="1"/>
      <labl>
        Literacy in national languages
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

19. National literacy languages
In which national language can the interviewee read and write best? _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

19. National languages (literacy)
The question related to this variable is only relevant for people 12 years and older. 

Literacy is an individual's aptitude for reading and writing, and the ability to understand a text in relation to facts of everyday life, in any language (national language, foreign language).

In the Questionnaire, we've written national languages in the plural; however, for the standard order questions, this question only relates to literacy of the main national language. Also, there is only one answer possible for each eligible individual.

-Ask if the surveyed person knows how to read and write in the any national language.

If the answer is Yes, ask him the following question:

Q. In what main national language does the surveyed person know how to best read and write?

-Mark the name of the main language declared on the dotted line corresponding to the registration order number of the surveyed person.


If the answer is No, 

-Mark "no" on the dotted line corresponding to the registration order number of the surveyed person.


The national languages of Cameroon retained in 3rd RGPH are:

[Languages omitted, except the last two codes below]

83=Other
00=None]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's literacy in national languages.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No national language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Akoose
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Arabe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bafaw-Balong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Bafia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bafut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Baka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bakossi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Bakweri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Bali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bamoun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Bana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Bangolan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Bassaa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Beti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Buduma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Bulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Daba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Denya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Dii
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Doyayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Duala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Ejagham
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Eton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Ewondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          South Fali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Fefe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Fufulde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Gbaya (north east)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Gbaya (south west)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Ghomala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          South giziga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Gude
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Gyele (Bagvele)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Haoussa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Kako
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Karang (East Mbum)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kenyang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Kom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Koozime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Kuo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Lamnso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Limbum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Mafa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Makaa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mambila
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Masana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Mbembe Tigon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Mbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Medumba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Meta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Mofo Gudur (south mofu)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Mundani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Musgum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Ngiemboon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Nguemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Noone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Ntoumou
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Nugunu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Oku
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Tikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Tunen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Tupuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Vute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Wandala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Yamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Yambeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Yemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Mundang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Mbum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Other languages, suppressed for confidentiality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V178" name="CM05A491" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="252" EndPos="252" width="1" RecSegNo="1"/>
      <labl>
        Can read English
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

20. Official languages
Can each person read, write and speak one of the official languages?





English


[] Read
[] Write
[] Speak]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

20. Official languages
The questions related to this variable are only relevant for people 12 years and older.

Official languages are French and English.  The question should be asked for each of the two languages.  We are looking to find out if the person knows how to read, write, or speak at least one of the official languages.




For English:

Q. Does the surveyed person know how to read, write, and speak English?
-Ask if the surveyed person knows how to read English (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in English (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak English (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.



For French:

Q. Does the surveyed person know how to read, write, and speak French?
-Ask if the surveyed person knows how to read French (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in French (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak French (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person can read in English.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V179" name="CM05A492" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="253" EndPos="253" width="1" RecSegNo="1"/>
      <labl>
        Write English
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

20. Official languages
Can each person read, write and speak one of the official languages?





English


[] Read
[] Write
[] Speak]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

20. Official languages
The questions related to this variable are only relevant for people 12 years and older.

Official languages are French and English.  The question should be asked for each of the two languages.  We are looking to find out if the person knows how to read, write, or speak at least one of the official languages.




For English:

Q. Does the surveyed person know how to read, write, and speak English?
-Ask if the surveyed person knows how to read English (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in English (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak English (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.



For French:

Q. Does the surveyed person know how to read, write, and speak French?
-Ask if the surveyed person knows how to read French (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in French (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak French (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person can write in English.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V180" name="CM05A493" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="254" EndPos="254" width="1" RecSegNo="1"/>
      <labl>
        Speak English
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

20. Official languages
Can each person read, write and speak one of the official languages?





English


[] Read
[] Write
[] Speak]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

20. Official languages
The questions related to this variable are only relevant for people 12 years and older.

Official languages are French and English.  The question should be asked for each of the two languages.  We are looking to find out if the person knows how to read, write, or speak at least one of the official languages.




For English:

Q. Does the surveyed person know how to read, write, and speak English?
-Ask if the surveyed person knows how to read English (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in English (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak English (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.



For French:

Q. Does the surveyed person know how to read, write, and speak French?
-Ask if the surveyed person knows how to read French (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in French (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak French (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person can speak English.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V181" name="CM05A494" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="255" EndPos="255" width="1" RecSegNo="1"/>
      <labl>
        Read French
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

20. Official languages
Can each person read, write and speak one of the official languages?





French


[] Read
[] Write
[] Speak]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

20. Official languages
The questions related to this variable are only relevant for people 12 years and older.

Official languages are French and English.  The question should be asked for each of the two languages.  We are looking to find out if the person knows how to read, write, or speak at least one of the official languages.




For English:

Q. Does the surveyed person know how to read, write, and speak English?
-Ask if the surveyed person knows how to read English (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in English (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak English (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.



For French:

Q. Does the surveyed person know how to read, write, and speak French?
-Ask if the surveyed person knows how to read French (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in French (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak French (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person can read French.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V182" name="CM05A495" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="256" EndPos="256" width="1" RecSegNo="1"/>
      <labl>
        Write French
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

20. Official languages
Can each person read, write and speak one of the official languages?





French


[] Read
[] Write
[] Speak]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

20. Official languages
The questions related to this variable are only relevant for people 12 years and older.

Official languages are French and English.  The question should be asked for each of the two languages.  We are looking to find out if the person knows how to read, write, or speak at least one of the official languages.




For English:

Q. Does the surveyed person know how to read, write, and speak English?
-Ask if the surveyed person knows how to read English (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in English (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak English (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.



For French:

Q. Does the surveyed person know how to read, write, and speak French?
-Ask if the surveyed person knows how to read French (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in French (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak French (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person can write in French.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V183" name="CM05A496" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="257" EndPos="257" width="1" RecSegNo="1"/>
      <labl>
        Speak French
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

20. Official languages
Can each person read, write and speak one of the official languages?





French


[] Read
[] Write
[] Speak]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

20. Official languages
The questions related to this variable are only relevant for people 12 years and older.

Official languages are French and English.  The question should be asked for each of the two languages.  We are looking to find out if the person knows how to read, write, or speak at least one of the official languages.




For English:

Q. Does the surveyed person know how to read, write, and speak English?
-Ask if the surveyed person knows how to read English (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in English (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak English (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.



For French:

Q. Does the surveyed person know how to read, write, and speak French?
-Ask if the surveyed person knows how to read French (1=Yes, 2=No)
-Ask if the surveyed person knows how to write in French (1=Yes, 2=No)
-Ask if the surveyed person knows how to speak French (1=Yes, 2=No)
-For each question asked, mark on the corresponding bubble the appropriate code.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person can speak French.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V184" name="CM05A497" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="258" EndPos="258" width="1" RecSegNo="1"/>
      <labl>
        Ever attended school
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Persons over 3 years of age
 [Questions 21 through 26 were asked of persons 3 years of age and older.]




21. Has the person been to school?

[Question 21 was asked of persons 3 years of age and older.]


English


[] Yes
[] No


French


[] Yes
[] No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

21. Previous school attendance
This question related to this variable is only for people aged 3 years and older.

School attendance refers to attendance in a public or private (secular or religious) educational establishment, to be a regular student at any level and during a specifically determined period of time.  

-First ask the surveyed person if they have already been to school:

Q. Have you/has ______ already been to school?
If the answer is yes, 

-Ask in what system and mark the code corresponding to the answer provided.


Codes for the terms of this variable are as follows:

1-French and English
2-French
3-English
4-Other system
5-Never been to school


If the answer to this question is No, 

-Mark code ?5' and go to Q 27]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 3+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates if a person has ever attended school.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          English and French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Never attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V185" name="CM05A498" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="259" EndPos="259" width="1" RecSegNo="1"/>
      <labl>
        Present school attendence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Persons over 3 years of age
 [Questions 21 through 26 were asked of persons 3 years of age and older.]




22. Present school attendance
Is the person attending a school?

[Question 22 was asked of persons 3 years of age and older.]


English


[] Yes
[] No


French


[] Yes
[] No


If no, go to 25.]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

22.  Current school attendance
Q. Do you/does ____ currently go to an educational establishment?
If the answer is Yes, 

-Ask about the system (French or English) and mark the code corresponding to the answer provided.

Codes for the terms of this variable are as follows:

1-French and English
2-French
3-English
4-Other system
5-Doesn't currently go to school


N.B.  Questions Q23 and Q24 are about people who have stopped going to school as well as those who are currently going to an educational establishment (Eliminate the filter that is on the Q22 level of the Standard Household Questionnaire).  Questions Q23 to Q26 are about:

a. the previous educational situation, the last position as a student, for people who have stopped currently going to an educational establishment. 
b. the educational situation at the moment for people who are currently students]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 3+ who ever attended school
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that a person is currently attending school.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          English and French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Does not attend school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V186" name="CM05A500" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="260" EndPos="260" width="1" RecSegNo="1"/>
      <labl>
        Educational sector
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Persons over 3 years of age
 [Questions 21 through 26 were asked of persons 3 years of age and older.]




24. Sector of educational institution
What sector of educational institution is the person attending?

[Question 24 was asked of persons 3 years of age and older who reported currently attending a school.]
[] 1 - Public
[] 2 - Denominational
[] 3 - Non-denominational]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

24. Education sector (Type of education)
In Cameroon, there are three sectors of education:

1- The public sector comprises of the establishments belonging to the State and under the authority if the State;
2- The religious private sector comprises of establishments belonging to religious organizations
3- The secular private sector comprises establishments belonging to individuals


Q. What education sector did you/did ______ attend?

-Mark in the designated space the code of the education sector of the surveyed person in the space reserved (1 = public, 2 = religious private, 3 = secular private)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 3+ currently attend or ever attended school
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the education sector that a person attended.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private denominational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private non-denominational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V187" name="CM05A503" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="261" EndPos="263" width="3" RecSegNo="1"/>
      <labl>
        Profession
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




27. Profession
What is your profession? _ _ _ 

[Question 27 was asked of persons aged 6 years and older.]


See code list]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




27. Profession
The profession is a job that can only be done by a person with the required knowledge, generally conferred through a diploma or a training certificate: the diploma designates the type of work accomplished by an individual at in a given position.

Q. What type of work did you/did _____ learn to do?


If someone says they have never learned a vocation:

-Ask him what he knows how to do?
-Write legibly on the dotted line the declared profession]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="11" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons aged 6+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's profession.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Gendarmery (military force charged with police duties)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Armed forces n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Members of the executive and legislative bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior executives of public administration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Executives of public and semi-public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Heads of mission diplomatic and international organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Officers and directors of organizations of employers or workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Other members of the executive and legislative bodies, and senior government n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Ceos and directors of companies and private corporations modern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Senior management, production and operations enterprises and companies in the modern sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Senior management companies and corporations in the modern sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Managers of small and medium enterprise (SME PMI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Other leaders and managers n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, geologists, meteorologists, astronomers, and similar geophysicists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Techies engineer, engineer cyberneticians engineer telecommunications engineer and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineer, architects, planners, surveyors and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Civil engineers, engineer of public works, civil engineer pavement, cartographers engineer, engineer surveyors, engineers surveyors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Electrical engineers, electronics engineers, electricians engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Agronomist, agriculture engineer, engineer of rural engineering, engineer and engineer zootechnician assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Engineer air navigation drivers aircraft commanders and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Engineer n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Biologist, zoologist, botanist, agronomist, bacteriologist, pharmacologist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Physicians, dentists, pharmacists, veterinarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Senior nurses and midwives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Other medical scientists and life sciences
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Professor of secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Teacher of primary and pre-primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Teachers specialized in the education of disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Administrative and commercial enterprises specialists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals (lawyers, magistrates and the like)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians, documentalists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science (economist, sociologist, anthropologist, demographer, philosopher, psychologist, historian, linguist, translator, interpreter, specialist in political science, social work specialists)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative artists (author, journalist, editors and other specialists information processing, composer, singers, choreographers, sculptor, painters and assimilated)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Clergy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Other professionals intellectual and scientific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Techniques of physical and engineering science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Console operators and other operators of computer hardware technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Technicians means of sea and air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Inspector of buildings, safety, hygiene and quality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Intermediate professions and related statistical work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Social science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Other associate professionals physical and technical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Technicians and related life sciences and health
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Intermediate occupations of modern medicine (except nursing) classified 223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery (intermediate level)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and healers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other associate professionals life science and health
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Intermediate occupations in primary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Professionals pre-primary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Professions intermediate education for the disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Associate professionals finance and sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Agents and trade brokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Intermediate occupations of government customs and taxes, and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Inspectors of police and detectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Intermediate professions of social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Associate professionals artistic, entertainment and sports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          Other associate professionals n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Employees of accounting and financial services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Employees procurement, scheduling and transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail service and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Employees receiving and customer information
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Other employees receiving, cashiers, tellers n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services to individuals (hairdressers, specialist beauty treatments and related workers, company staff and valets, agents undertakers and embalmers)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Personal protective services and security
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Staff cyber café and call box and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other personal services workers n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Sellers miscellaneous items (textiles, footwear, clothing, hardware and household products stall and market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Bayam sellam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Sellers live animals and poultry products (eggs)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Sellers food from agricultural stall and market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          Sellers food animal stall and market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Seller's stall or market food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Other n.e.c salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Farmers and skilled workers of crops for market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Breeders and skilled workers for livestock markets and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Farmers and skilled workers polyculture and animal producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Occupations forestage, palm wine tapper you raffia and similar workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other farmers and workers skilled agricultural and fishery markets for
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Farmers and skilled workers polyculture and animal producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          Other farmers and workers in agriculture and subsistence fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers and stonemasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Construction workers (shell) and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Construction workers (finishes) and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          719
        </catValu>
        <labl>
          Other craft and related trades workers mining and construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal moulders, welders, sheet-metal workers, ironworkers and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Mechanics and fitters electrical and electronic equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other craft and related trades workers metallurgy, mechanical engineering and related n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Trades workers printing and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Other craft and related workers in the precision engineering, crafts, printing and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Trades workers food and allied
        </labl>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Artisans and workers woodworking, cabinet and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Artisans and trades workers textile and skillfully treated and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Trades workers work skins and leather shoe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other craft and related trades workers n.e.c craft
        </labl>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Plant operators woodworking and papermaking
        </labl>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Plant operators and related energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Drivers machines for manufacturing rubber products and plastic materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Machine operators wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Drivers printing machines, binding machines and paper machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Machine operators for the manufacture of food and related products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assembly workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Drivers of motor vehicles including taxi drivers and bus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Operators of mobile equipment and other agricultural mobile machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Deckhands and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Motorbike taxi drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          836
        </catValu>
        <labl>
          Driver of motor skiff or paddle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          839
        </catValu>
        <labl>
          Other vehicle drivers and heavy equipment lifting and maneuvering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Other operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Aids and other household helpers, cleaners and launderers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Personnel service building caretakers, window and related cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers, chargers in bus stations and allied workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Other unskilled services and sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Labourers in agriculture, fishery and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          929
        </catValu>
        <labl>
          Other operations of the agriculture, fisheries and allied
        </labl>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Labourers in mining, construction and public works
        </labl>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          939
        </catValu>
        <labl>
          Other labourers in mining, construction and public works, manufacturing and transport n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other profession, response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Professional activities not adequately defined or unclassifiable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V188" name="CM05A504" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="264" EndPos="265" width="2" RecSegNo="1"/>
      <labl>
        Employment status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




28. Employment status
During the last 7 days preceding the census, what was this person's activity? _ _

[Question 28 was asked of persons aged 6 years and older.]
If code greater than 02, go to question 34.]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




28. Activity
This variable allows you to learn if a person worked over the course of the 7 days before your first visit to the household.  In other words, the week of reference is determined by the date of your first visit in the household.  This means that you count 7 days back starting with the day of your first visit; and these are the 7 days that correspond to the reference week (1 week in this specific case equals 7 days).

[Example omitted]

Q. What was your activity/what was the activity of ______ over the last 7 days.

The terms of this variable are:
01 = At work: This is the situation of a person who worked at a job over the last 7 days before your first visit to the household, whether the work was compensated or not.  You must note that all the people on vacation are part of this group.
[Examples omitted]
02 = Unemployed, having already worked: This is the situation of a person who has already worked at least once but did not have a job over the course of the last 7 days and who is looking for a job
03 = Looking for work for the first time: This is a situation where the person who never had a job is looking for their first job
04 = Housewife: These are all people who are exclusively looking after the household and household work, without getting a salary and without looking for work
05 = Student: These are people who regularly go to an educational establishment and who are not engaged in economic activity
06 = Person of independent means: These are people who do not work and who live exclusively off of revenue from their property of their capital.
07 = Retiree: This is an individual who no longer works and who has a retiree's pension
08 = Old person: This is an aging person who doesn't have independent means and isn't a retiree, who does not work and who is no longer looking for work and who lives off of financial assistance and the finances of a relative
09 = Handicapped: This is a person cannot work because of his handicap
10 = Idle: This is a person without work, capable of work, but not looking for a job

The codes of the terms of this variable are:
01 = worked
02 = didn't work, is looking for a job but already worked in his life
03 = didn't work, looking for a job, never worked before
04 = didn't work, housewife who is not looking for a job
05 = didn't work, student (not looking for work)
06 = didn't work, person of independent means not looking for work
07 = didn't' work, retiree not looking for work
08 = didn't work, can't work or can't work anymore because of age, old person
09 = didn't work, can't work or can't work anymore because of his handicap or because of his illness, handicap
10 = didn't work, doesn't want to work and isn't looking for work

Following the order number:

-Legibly write on the dotted line corresponding to the registration order number of the surveyed person the situation of activity
-Mark the corresponding code in the reserved space


N.B. If the code is above 02, go to Q34.
If the code of the answer to question 28 (Activity) is equal to 01 (at work) or 02 (doesn't work, is looking for work and has already worked), first ask Q30 (work) then Q29 (Employment status), then Q31 (type of employment), Q32 (employment sector) and Q33 (Branch of business).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Residents of the household age 6+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's employment status.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not working, but worked in past
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Looking for first job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Pensioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Elderly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Inactive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V189" name="CM05A505" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="266" EndPos="266" width="1" RecSegNo="1"/>
      <labl>
        Class of worker
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




29. In the main job held last week, was the person...?

[Question 29 was asked of persons aged 6 years and older who reported working in the last 7 days, per Question 28.]


[] A permanent wage (salary earner)
[] A temporary wage (salary earner)
[] An employer
[] An independent, self-employed worker
[] A family helper 
[] A wage-earning apprentice
[] A non-wage-earning apprentice]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




29. Employment status
The status of employment, which is related to the worker's situation related to his colleagues (if he has any) in the company, is a way of categorizing the engaged active population. 

The codes of the terms of employment status are:
1-Permanent salaried: This is a person who works for a public or private employer and who receives regular compensation in kind or in cash.
2-Temporary salaried: This is a person who works intermittently for a public or private employers and who receives compensation in cash or in kind.
3-An employer is a person who has his own economic enterprise and who a salaried labor force
4-Independent-This is a person who works for himself and doesn't use any salaried labor force.  He can use several uncompensated family helpers or apprentices
5-Family helper-This is a person who works in a family business without compensation
6-Compensated apprentice-This is a person who is learning a trade and who recipes compensation in cash or in kind.
7-Uncompensated apprentice-This is a person who is learning a trade and who does not receive any type of compensation


Q29: What is/was the employment status of ________ in his job/his last job?
-Mark in the proper space the code for the employment status of the surveyed person.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household who are working or have worked in the past
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's worker class.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Permanent salary earner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Temporary salary earner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Independent or self-employed worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Family helper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Wage-earning apprentice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Non-wage-earning apprentice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V190" name="CM05A506" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="267" EndPos="269" width="3" RecSegNo="1"/>
      <labl>
        Occupation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




30. Occupation
What is the person's main status in the work being done? _ _ _

[Question 30 was asked of persons aged 6 years and older who reported working in the last 7 days, per Question 28.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




30. Employment 
Employment is the regular activity done by the surveyed person over the course of the last 7 days preceding the survey agent's visit to the household.

Q30. For those who worked during the reference week: What job did ______ do? For those without employment already having worked: What was ______'s last job?

Following the registration order:

Legibly write the employment declared on the dotted line corresponding to the registration order of the surveyed person.

NB. Clearly mark the nature of the job that the person did during the reference week or that the person did before ending up unemployed.

[Examples omitted]
NB. Avoid vague responses like:

-Farmer for all those who farm 
-Engineer for all engineers
-Government employee for all those employed by the government or the State]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="11" max="999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household who are working or have worked in the past
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's occupation.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Gendarmery (military force charged with police duties)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Armed forces n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Members of the executive and legislative bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior executives of public administration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Executives of public and semi-public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Heads of mission diplomatic and international organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Officers and directors of organizations of employers or workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Other members of the executive and legislative bodies, and senior government n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Ceos and directors of companies and private corporations modern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Senior management, production and operations enterprises and companies in the modern sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Senior management companies and corporations in the modern sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Managers of small and medium enterprise (sme pmi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Other leaders and managers n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, geologists, meteorologists, astronomers, and similar geophysicists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Techies engineer, engineer cyberneticians engineer telecommunications engineer and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineer, architects, planners, surveyors and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Civil engineers, engineer of public works, civil engineer pavement, cartographers engineer, engineer surveyors, engineers surveyors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Electrical engineers, electronics engineers, electricians engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Agronomist, agriculture engineer, engineer of rural engineering, engineer and engineer zootechnician assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Engineer air navigation drivers aircraft commanders and assimilated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Engineer n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Biologist, zoologist, botanist, agronomist, bacteriologist, pharmacologist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Physicians, dentists, pharmacists, veterinarians.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Senior nurses and midwives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Other medical scientists and life sciences
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Professor of secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Teacher of primary and pre-primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Teachers specialized in the education of disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Administrative and commercial enterprises specialists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals (lawyers, magistrates and the like)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians, documentalists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science (economist, sociologist, anthropologist, demographer, philosopher, psychologist, historian, linguist, translator, interpreter, specialist in political science, social work specialists)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative artists (author, journalist, editors and other specialists information processing, composer, singers, choreographers, sculptor, painters and assimilated)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Clergy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Other professionals intellectual and scientific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Techniques of physical and engineering science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Console operators and other operators of computer hardware technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Technicians means of sea and air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Inspector of buildings, safety, hygiene and quality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Intermediate professions and related statistical work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Other associate professionals physical and technical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Technicians and related life sciences and health
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Intermediate occupations of modern medicine (except nursing) classified 223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery (intermediate level)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and healers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other associate professionals life science and health
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Intermediate occupations in primary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Professionals pre-primary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Professions intermediate education for the disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Associate professionals finance and sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Agents and trade brokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Intermediate occupations of government customs and taxes, and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Inspectors of police and detectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Intermediate professions of social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Associate professionals artistic, entertainment and sports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          Other associate professionals n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Employees of accounting and financial services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Employees procurement, scheduling and transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail service and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Employees receiving and customer information
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Other employees receiving, cashiers, tellers nec
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services to individuals (hairdressers, specialist beauty treatments and related workers, company staff and valets, agents undertakers and embalmers)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Personal protective services and security
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Staff cyber café and call box and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other personal services workers nec
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Sellers miscellaneous items (textiles, footwear, clothing, hardware and household products stall and market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Bayam sellam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Sellers live animals and poultry products (eggs)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Sellers food from agricultural stall and market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          Sellers food animal stall and market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Seller's stall or market food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Other n.e.c salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Farmers and skilled workers of crops for market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Breeders and skilled workers for livestock markets and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Farmers and skilled workers polyculture and animal producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Occupations forestage, palm wine tapper you raffia and similar workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other farmers and workers skilled agricultural and fishery markets for
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Farmers and skilled workers polyculture and animal producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          Other farmers and workers in agriculture and subsistence fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers and stonemasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Construction workers (shell) and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Construction workers (finishes) and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          719
        </catValu>
        <labl>
          Other craft and related trades workers mining and construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal moulders, welders, sheet-metal workers, ironworkers and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Mechanics and fitters electrical and electronic equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other craft and related trades workers metallurgy, mechanical engineering and related n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Trades workers printing and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Other craft and related workers in the precision engineering, crafts, printing and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Trades workers food and allied
        </labl>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Artisans and workers woodworking, cabinet and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Artisans and trades workers textile and skillfully treated and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Trades workers work skins and leather shoe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other craft and related trades workers n.e.c craft
        </labl>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Plant operators woodworking and papermaking
        </labl>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Plant operators and related energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Drivers machines for manufacturing rubber products and plastic materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Machine operators wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Drivers printing machines, binding machines and paper machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Machine operators for the manufacture of food and related products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assembly workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Drivers of motor vehicles including taxi drivers and bus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Operators of mobile equipment and other agricultural mobile machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Deckhands and similar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Motorbike taxi drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          836
        </catValu>
        <labl>
          Driver of motor skiff or paddle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          839
        </catValu>
        <labl>
          Other vehicle drivers and heavy equipment lifting and maneuvering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Other operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Aids and other household helpers, cleaners and launderers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Personnel service building caretakers, window and related cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers, chargers in bus stations and allied workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Other unskilled services and sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Labourers in agriculture, fishery and related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          929
        </catValu>
        <labl>
          Other operations of the agriculture, fisheries and allied
        </labl>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Labourers in mining, construction and public works
        </labl>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          939
        </catValu>
        <labl>
          Other labourers in mining, construction and public works, manufacturing and transport nec
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other occupation, response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Professional activities not adequately defined or unclassifiable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Occupation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V191" name="CM05A507" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="270" EndPos="270" width="1" RecSegNo="1"/>
      <labl>
        Type of employment
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




31. Type of employment _

[Question 31 was asked of persons aged 6 years and older who reported working in the last 7 days, per Question 28.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




31. Type of employment
The variable "Type of Employment" is about the nature of the job or the trade practiced during the last 7 days preceding the survey agent's visit to the household.  It is based off of the different types of employment on the job market while taking into account the effective legislation of Cameroon, and thus we can distinguish the modern contractual jobs, the freelance jobs, and the "atypical" jobs.  The contractual types of jobs are those occupied by salaried people, in general in the modern sector.  The freelance jobs are those held by intellectual or by established professionals.  The atypical jobs are all those jobs that do not fit into either of the preceding categories.  We could adopt for the "type of employment" variable the following different terms, defined as: 

1 = Modern freelance job
2 = Job from a contract written for an undetermined amount of time
3 = Job from a contract written for a specific amount of time
4 = Entry level job, resulting from a trial contract
5 = Permanent job, resulting from no contract, oral or verbal (a manual position in the artisan, agricultural, breeder, etc. domain)
6 = Temporary job, resulting from a simple verbal agreement between two parties
7 = Seasonal job (agriculture or traditional breeder)
8 = Occasional job which is unstable (activity in an informal sector that doesn't require any type of qualifications or any significant commitment)


-Ask the type of employment done by the surveyed person (you can orient the person by reading the terms below to him)
-Mark in the indicated space the code of the type of employment cited]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household who are working or have worked in the past
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's employment type.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Liberal employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employment with written contract for indeterminate duration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Employment with written contract for a specified period of time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Entry-level job, testing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Permanent job without contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Termporary employment with verbal agreement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Seasonal worker (agricultural and livestock)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Occasional, unstable employment (informal sector)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V192" name="CM05A508" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="271" EndPos="271" width="1" RecSegNo="1"/>
      <labl>
        Sector of employment
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




32. Sector of employment _

[Question 32 was asked of persons aged 6 years and older who reported working in the last 7 days, per Question 28.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




32. Employment sector
This is regarding the part of the economy where the job is performed, meaning formal or informal.  In the formal sector, the management is characterized by the record keeping, having some type of taxpayers/ratepayers, etc employed.  It groups together, aside from public administrations (public services), public and semipublic businesses, private businesses, jobs in international organizations, nongovernmental organizations (NGO), scholarly establishments?It is about employments in structured businesses.

The informal sector groups together activities lead by businesses and production units, individual or familial in nature in the artisanal, small business, manufacturing, or small service sectors.  

[Example omitted]

NB.  The informal sector does not include agriculture, breeding, fishing, hunting or harvesting.  To collect the data on this variable, the following terms have been retained:

1 = Modern sector
2 = Informal sector of artisanal production
3 = Informal sector of public building and works
4 = Informal mechanical and repairs sector
5 = Informal sector of communication and transportation
6 = Informal sector of small businesses of manufactured products
7 = Informal sector of commodity food sales and catering
8 = Informal sector of personal services
9 = Traditional types of activities of agriculture, breeding, hunting, fishing, and forest


-Ask the person to succinctly describe the nature of the work as well as the location of the business or the establishment where he works or worked
-Determine the employment sector based on this response obtained
-Mark in the space reserved the code of the employment sector]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Residents of the household who are working or have worked in the past
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's sector of employment.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Informal artisanal production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Informal public works and buildings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Informal mechanics and repairs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Informal communication and transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Informal small business and product manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Informal food-selling and catering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Informal personal services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Traditional activities, such as agriculture, hunting, fishing and foraging
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V193" name="CM05A509" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="272" EndPos="275" width="4" RecSegNo="1"/>
      <labl>
        Industry
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Economic activity for persons aged 6 years and above
[Questions 27 to 33 were asked of persons aged 6 years and older.]




33. Line of business
In what industry, business or service is the person working? _ _  _

[Question 33 was asked of persons aged 6 years and older who reported working in the last 7 days, per Question 28.]
See code list]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions (Questions 27-33) related to the economic activity are only ask to people 6 years old and older




33. Business sector
The business sector corresponds to the establishment or the firm where the person worked for the 7 days before the visit from the surveying agent in the household.  It is also about the people without work already having worked (code 02 of Q28), of the last business sector in which they worked.  

Q. What does the enterprise in which you/ ______ work or worked?

-Legibly write the business sector declared on the corresponding dotted line.
-For salaried individuals, clearly write the name of the firm, company, the employer, or the service of the surveyed person. 


[Examples omitted]

Attention: In certain situations, a domestic or house servant (cook, chauffeur, gardener, etc) can be in the service of a high level individual (Governors, Director of a semipublic or private company, President of the Administrative Counsel, Prefect, Sub prefect/District Head or all other high positions of the State) all while being paid by the employer or company which employees this high level individual.  In this case, the person is not a household employee, but a salaried employee of that employer or of that company.  For the category of this personnel, mark the name of the employer or the company. 

[Examples omitted]

For salaried individuals of the public administration and of public administrative establishments, mark the name of the Minister or of the establishment for which the person worked.

[Example omitted]

For the Health and Social action sectors, do not mark the name of the health facility or the establishment. Instead, reference the following terms.

Example 4: 

-Hospital activities for people working or having worked in a health facility (hospital, health center, etc)
-Medical or dental practice (dentist's office, doctor's office, etc)
-Activities of a traditional healer
-Activities of GIC Health for people working or having worked a communal health interest group
-Activities for human health not otherwise classified
-Veterinary activities for people working or having worked on animal health (veterinary pharmacies, veterinary clinics,?)
-Social action for people working or having worked in orphanages, community center for children or distressed individuals, boarding house (nursing home, etc)


NB. This is regarding the current businesses sector for the people who worked during the seven days before the survey agent's visit to the household, and the last business sector for people without work but who have already worked.


-Do not mark vague descriptions like "Ets BABA". Insist to find out what the BABA establishment does specifically.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="100" max="9999"/>
      </valrng>
      <universe clusion="I">
        Residents of the household who are working or have worked in the past
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's industry of work.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Millet and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Corn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Cereals n.e.c. other than rice and wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Yams
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Potatos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Sweet potatoes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Cocoyam or taro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Starchy roots and tubers n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Peanut for local consumption
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Coconut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Sesame seeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Other oil seeds and oleaginous fruits n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Citrus fruits (oranges, tangerines, lemons, grapefruits)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Papaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Cola nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Pineapple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Temperate fruits (apples, pears, fresh fruit kernel, fresh berries etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Tropical fruits n.e.c. (guava, cashew, cashew nuts)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Tomatos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Leafy vegetables of local origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Leafy vegetables, stems, roots or fruiits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Bulbs, onions, garlic, leeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Legumes and pulses (peas, beans, lenilles, voandzou)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Vegetables, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Plantain crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Other condiments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Other crops for human consumption
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Cocoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Sweet banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Other agricultural products for export
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Palm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Latex rubber and harvesting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Rice paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Other agricultural products for industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Ornamental plants or flowers (ornamental gardens, outdoor decoration)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Other activities related to industrial agriculture (treatment of plants or contract spraying)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Cattle breeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Sheep and goats breeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Porcine breeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Poultry farm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Donkeys and horses breeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Animal breeding, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Production of fresh milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Production of honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Production of other livestock products, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Hunting and trapping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Other livestock activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Sea fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Lake and river fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Pisciculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          Activities related to fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Operating cuts (extended for wood to be cut) and nursery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Afforestation, reforestation and forest conservation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Cutting and collecting firewood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Non-timber products (vines, rattan, bark)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          Other wood-related activities n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Extraction of crude petroleum oils and bituminous minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Extraction of natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Extraction of mineral oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Ore mining precious metals (platinum, gold, silver) and radioactive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Extraction of building stone and gravel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Sand extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Mining and quarrying, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Manufacturing cornmeal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Manufacture of other flours, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Chocolate manufacture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Sugar industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Canning fruits and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          890
        </catValu>
        <labl>
          Manufacture of other food products n.e.c. agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Manufacture of bread and cake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Manufacture of donuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Manufacture of farinaceous products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Manufacture of food products made ??from flour, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          Slaughterhouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Dairy Industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1030
        </catValu>
        <labl>
          Production of vegetable oils and fats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1040
        </catValu>
        <labl>
          Manufacture of food products, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1050
        </catValu>
        <labl>
          Manufacture of products for animal feed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Industrial beer production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Manufacture of homemade beer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Manufacture of soft drinks and syrups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Manufacture of homemade soft drink
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Wine industry and unmalted alcoholic beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          Manufacture of cigarettes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Preparation of vegetable textile fibers before spinning: sanding, retting, scutching, scouring, carding and carbonizing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Throwing, spinning textile fibers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Manufacture of carpets and rugs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Manufacture of fabric, with the exception of clothing (linen and furnishings) (ISIC 3212)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Manufacture of other textiles, n.e.c. (cushioning, stuffing and other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Hosiery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Manufacture of wearing apparel except footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Footwear manufacturing excluding rubber and plastic shoes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Tannery and tawing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Manufacture of leather except footwear and wearing apparel (bags, trunks, handbags, wallets, saddlery)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Sawmill and other wood excluding plated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Veneer, plywood, wood paneling and particle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Manufacture of wooden emblems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Basketry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1440
        </catValu>
        <labl>
          Manufacture of furniture and accessories, with the exception of those primarily of metal (furniture, cabinets, boxes, wooden beds, mattresses, box springs and pillows filled spring)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1509
        </catValu>
        <labl>
          Manufacture of articles of paper pulp, paper and paperboard n.c.e
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1510
        </catValu>
        <labl>
          Printing, binding, and engraving
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1511
        </catValu>
        <labl>
          Desktop publishing, Photogravure, Publishing (newspapers, books, maps, directories)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1512
        </catValu>
        <labl>
          Service activities related to printing (edition, photocopies, etc)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Manufacture of basic chemicals, except fertilizer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1612
        </catValu>
        <labl>
          Manufacture of soap and detergents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1613
        </catValu>
        <labl>
          Manufacture of perfums, cosmetics and other toilet products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1619
        </catValu>
        <labl>
          Manufacture of chemical products n.c.e (wax, disinfectants, explosives, adhesives, glues, matches, candles and inks)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1620
        </catValu>
        <labl>
          Petroleum refineries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Treatment of rubber latex (shredding, mixing, rolling, cutting and other operations that are not performed in plantations or forests)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1709
        </catValu>
        <labl>
          Manufacture of other miscellaneous products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Manufacture of plastic packaging
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Manufacture of other household and plastic products (excluding shoes)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1800
        </catValu>
        <labl>
          Manufacture of cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1840
        </catValu>
        <labl>
          Manufacture of terracotta construction materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1850
        </catValu>
        <labl>
          Manufacture of concrete and stone products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1851
        </catValu>
        <labl>
          Gravel and lateritic crushing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Manufacture and procesing aluminium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Manufacture of basic aluminium (rolling, drawing, molding)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Maufacture of basic iron and steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Manufacture of metallic furniture, kitchens, and carpentry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Manufacture of iron and steel hardware (cutlery, armory, screws, nails)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          Metal construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          Manufacture of other metallic devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2022
        </catValu>
        <labl>
          Manufacture of electromechanical devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2023
        </catValu>
        <labl>
          Manufacture of computers and other electronic devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2090
        </catValu>
        <labl>
          Manufacture of other mechanical and electronic devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Building and reparation of ships
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Manufacture of cycles and motorcycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Manufacture of jewellery and bijouterie with precious metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Craftsmen: engravers, sculptors, potters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Manufacturing n.c.e
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2291
        </catValu>
        <labl>
          Manufacture of non plastic plates and utensils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Electric power generation, transmission and distribution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Water collection and distribution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Production of gas in cilinders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Construction of dams
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Construction of ports and dredging
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Construction of hydro-agricultural facilities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Construction of roads, bridges, and airports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Construction of railways
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Construction and installation of electric, telephonone and radio transmission lines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2440
        </catValu>
        <labl>
          Building construction in solid materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2441
        </catValu>
        <labl>
          Building construction in semi-solid materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2450
        </catValu>
        <labl>
          Construction painting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2451
        </catValu>
        <labl>
          Plumbing and other construction installation activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2452
        </catValu>
        <labl>
          Installation of mirrors and windows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2453
        </catValu>
        <labl>
          Installation of metal or wood work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2460
        </catValu>
        <labl>
          Electrical installation activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2470
        </catValu>
        <labl>
          Site preparation for agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2481
        </catValu>
        <labl>
          Site preparation for construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Cocoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Sweet plantains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Oil and palm kernel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Other products (peanuts, etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Sale of automotive fuel and lubricants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Sale of motor vehicles, machinery and tyres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2513
        </catValu>
        <labl>
          Sale of construction materials and hardware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2514
        </catValu>
        <labl>
          Sale of pharmaceutical and cosmetic products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2515
        </catValu>
        <labl>
          Sale of food beverages and tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2516
        </catValu>
        <labl>
          Sale of clothing, footwear and leather articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2517
        </catValu>
        <labl>
          Sale of information and communications equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2518
        </catValu>
        <labl>
          Sale of books and stationary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2519
        </catValu>
        <labl>
          Trade n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2520
        </catValu>
        <labl>
          Fresh food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2521
        </catValu>
        <labl>
          Meat (fresh or smoked)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2522
        </catValu>
        <labl>
          Fish (fresh or smoked)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2523
        </catValu>
        <labl>
          Livestock and poultry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2524
        </catValu>
        <labl>
          Crafts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2525
        </catValu>
        <labl>
          Wood work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2530
        </catValu>
        <labl>
          Sale of energy and lubricants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2531
        </catValu>
        <labl>
          Sale of motor vehicles, machinery and tyres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2532
        </catValu>
        <labl>
          Sale of machinery, raw materials and semi-finished products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2533
        </catValu>
        <labl>
          Sale of construction materials and hardware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2534
        </catValu>
        <labl>
          Sale of pharmaceutical and cosmetic products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2535
        </catValu>
        <labl>
          Sale of food beverages and tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2536
        </catValu>
        <labl>
          Sale of clothing, footwear and leather articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2537
        </catValu>
        <labl>
          Sale of information and communications equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2538
        </catValu>
        <labl>
          Sale of books and stationary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2539
        </catValu>
        <labl>
          Trade n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2590
        </catValu>
        <labl>
          Sale of scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2591
        </catValu>
        <labl>
          Sales representatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2592
        </catValu>
        <labl>
          Recycling of metal and non-metal waste and scrap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Restaurants and other food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Street selling of food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Hotels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2611
        </catValu>
        <labl>
          Hostels, motels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2612
        </catValu>
        <labl>
          Guest houses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2619
        </catValu>
        <labl>
          Other accommodation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Transport via railways
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Urban passenger land transport (autobus, taxis and mototaxis)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Suburban passenger land transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Freight transport by road
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Sea transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2705
        </catValu>
        <labl>
          Inland and coastal transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2706
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2707
        </catValu>
        <labl>
          Taxi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2708
        </catValu>
        <labl>
          Transport of funds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2709
        </catValu>
        <labl>
          Transport n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Travel agencies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Forwarders and shipping agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Car and truck rentals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Operation of airports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2714
        </catValu>
        <labl>
          Operation of ports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2719
        </catValu>
        <labl>
          Other transportation services n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Warehousing and storage - Oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2729
        </catValu>
        <labl>
          Warehousing and storage - Other products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Telecommunications (INTELCAM, CAMTEL, ORANGE CAMEROUN, MTN CAMEROON…)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Provision of access to networks (Internet, telephone, etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Telecommunications community service centers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2733
        </catValu>
        <labl>
          Public access telephones
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2734
        </catValu>
        <labl>
          Television and telemonitoring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2735
        </catValu>
        <labl>
          Publishing of newspapers, journals, and periodicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2736
        </catValu>
        <labl>
          Post and courier activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2800
        </catValu>
        <labl>
          Banking
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Finance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Microfinance and credit cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Money transfer and foreign exchange
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2809
        </catValu>
        <labl>
          Other financial activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Insurance and reinsurance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Insurance related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Real state (including property rentals)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Legal activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Accounting, auditing, and bookkeeping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Data processing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Architectural and engineering activities and related technical consultancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2914
        </catValu>
        <labl>
          Advertising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2930
        </catValu>
        <labl>
          Protection and security services (Africa Security, DAK…)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2990
        </catValu>
        <labl>
          Other services for enterpises n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Waste removal and disposal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Sewage and septic tanks maintenance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Extermination and disinfestation services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3013
        </catValu>
        <labl>
          Other education activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3015
        </catValu>
        <labl>
          Other medical, dental, and human health activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3016
        </catValu>
        <labl>
          Veterinary services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3017
        </catValu>
        <labl>
          Social work and charitable activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3019
        </catValu>
        <labl>
          Activities of religious organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3022
        </catValu>
        <labl>
          Radio and television activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3026
        </catValu>
        <labl>
          Sports and leisure centers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3029
        </catValu>
        <labl>
          Other amusement and recreation activities n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3030
        </catValu>
        <labl>
          Repair of footwear and leather goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3031
        </catValu>
        <labl>
          Repair of household appliances and consumer electronics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3032
        </catValu>
        <labl>
          Repair of motor vehicles and motorcycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3033
        </catValu>
        <labl>
          Rapair of watches, clocks, and jewellery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3034
        </catValu>
        <labl>
          Rapair and unlock cellphones, computers, and their accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3035
        </catValu>
        <labl>
          Repair of motor vehicles and motorcycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3040
        </catValu>
        <labl>
          Cleaning of cars and motorcycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3041
        </catValu>
        <labl>
          Funeral and related services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3042
        </catValu>
        <labl>
          Photographic and video services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3043
        </catValu>
        <labl>
          Video and cineclubs services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3044
        </catValu>
        <labl>
          Cable services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3045
        </catValu>
        <labl>
          Hairdressing and other beauty treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3046
        </catValu>
        <labl>
          Wahing and (dry-) cleaning of textile products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3047
        </catValu>
        <labl>
          Dyeing and screen printing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3049
        </catValu>
        <labl>
          Other personal and household services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Administration of the State and the economic and social policies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Activities of pubic prerogative (foreign affairs, defense activities)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Regional and local governments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3109
        </catValu>
        <labl>
          Other public administration services n.c.e
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Domestic services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3140
        </catValu>
        <labl>
          Religious institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Activities not adequately defined or unclassifiable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Industry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V194" name="CM05A510" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="276" EndPos="277" width="2" RecSegNo="1"/>
      <labl>
        Number of male live births
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




34. How many live births has she ever had?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

34. Woman's name and number of live born children

Live births
Live births means all products of conception which, after expulsion or extraction from the mother's body, shows any sign of life, like crying, tears, breathing, heartbeat, motility, even if it only lived a few minutes after birth.

-Write down the name of the each woman age 12 or older respecting the order number of the registration rank of the first page of the questionnaire.


[Example omitted]

Q: Did ______ deliver a live baby?
If the answer is no:

-Mark in the reserved space 00 for the male sex and 00 for the female sex in Q. 34 and Q35

If the answer is yes:

-Ask the number of male births and the number of female births; 
-Mark the number of children of male sex and the number of children of female sex declared in the reserved space.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female household residents age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of live male births borne to a woman.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V195" name="CM05A511" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="278" EndPos="279" width="2" RecSegNo="1"/>
      <labl>
        Number of female live births
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




34. How many live births has she ever had?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

34. Woman's name and number of live born children

Live births
Live births means all products of conception which, after expulsion or extraction from the mother's body, shows any sign of life, like crying, tears, breathing, heartbeat, motility, even if it only lived a few minutes after birth.

-Write down the name of the each woman age 12 or older respecting the order number of the registration rank of the first page of the questionnaire.


[Example omitted]

Q: Did ______ deliver a live baby?
If the answer is no:

-Mark in the reserved space 00 for the male sex and 00 for the female sex in Q. 34 and Q35

If the answer is yes:

-Ask the number of male births and the number of female births; 
-Mark the number of children of male sex and the number of children of female sex declared in the reserved space.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female household residents age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female live births borne to a woman.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V196" name="CM05A512" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="280" EndPos="281" width="2" RecSegNo="1"/>
      <labl>
        Number of male children still living
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




35. How many are still living?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

35. Survival of children or number of children still alive, by sex.
Q. "Of all these children, how many boys are still live?  And how many girls are still alive?"

-Mark the number given in the reserved space. 


N.B: The part of the Standard Household Questionnaire (QMO) "Live births in the last 12 months" becomes "Women age 12 or older".
The last 12 months are counted starting with the reference night, meaning beginning on the night before your visit to the household.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female household residents age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of male children borne of a woman and still living.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V197" name="CM05A513" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="282" EndPos="283" width="2" RecSegNo="1"/>
      <labl>
        Number of female children still living
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




35. How many are still living?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

35. Survival of children or number of children still alive, by sex.
Q. "Of all these children, how many boys are still live?  And how many girls are still alive?"

-Mark the number given in the reserved space. 


N.B: The part of the Standard Household Questionnaire (QMO) "Live births in the last 12 months" becomes "Women age 12 or older".
The last 12 months are counted starting with the reference night, meaning beginning on the night before your visit to the household.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female household residents age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female children borne to a woman who are still living.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V198" name="CM05A514" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="284" EndPos="285" width="2" RecSegNo="1"/>
      <labl>
        Male live births in last 12 months
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




36. How many live births did you have within the last 12 months?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

36. Number of live births in the last 12 months (by women age 12 and older)
This question has undergone serious changes, thus you should strictly adhere to the following new instructions on how to ask the questions and mark the responses provided.  


a) To start,


-Disregard the following mentions which are on the questionnaire in each of the 6 columns, these are:
Birth 1, Birth 2, Birth 3, etc.
Name of the child, etc.



b) Each of these 6 columns is now reserved for the collection of date related to the live births of a woman aged 12 years or older having occurred over the course of the last 12 months.  As such, one column, questions Q34 and Q 35, are not recorded: Q34=Empty and Q35=Empty, if that means that each column is reserved to the recording of the data related to a man or to a young girl who is less than 12 years old: check the accuracy of this situation.  If it is true, then leave Q36 also "Empty".  If it's false, proceed to make the necessary corrections, then follow the following instructions since you are dealing with a woman who is 12 years or older. 

c) The individual is a woman age 12 and older.  Questions Q34 and Q35 are recorded.  If Q34 if empty and Q35 if empty, that means that we recorded the data related to the number of live born children and the number of children still alive that a woman aged 12 and up has already had.  Under these conditions, you must ask this woman Q36, the following question:
Q. Did you/did _____ have any live births over the period of time between November _____ 2005 and November ______ 2005?


If: Q34=Q35=00, this woman never had live born children over the course of her life, consequently over the course of the last 12 months she didn't have any live births; nevertheless, ask her the same question in the formation that follows:

-Do you confirm that you never had any live births over the course of the last 12 months?


If the answer is Yes, then:

-Mark "0" in each small space facing the "M" and "F" which symbolize the sex of the children who would be live born over the course of the last 12 months, in the column reserved for the recording of the date about this woman. 

If the answer is No, meaning that the woman claimed to have had one live birth over the course of the last 12 months, ask her this question:

Q. Where is this child?


If there is confirmation that the child was live born over the course of the last 12 months, then,

-Ask her the sex of this child and mark "1" in one of the cells facing the "M" or "F" for the sex of the child. 
-Remember that there is an inaccuracy regarding the answers obtained before Q34 and Q35; given the new data, make the necessary corrections.


If: Q34 "M" &gt; 00 and/or Q34 "F" &gt; 00, this woman has already had live born children over the course of her life; as her the following question:

-Among the "n" male children that you have had, how many were born over the course of the last 12 months?


If the response obtained is a number less than or equal to Q34 "M", then

-Mark this number in Q36 in the small cell facing the "M" in the column reserved for the recording of dad related to this woman;

-Among the "n" female children that you have, how many were born over the course of the last 12 months?


If the response obtained is a number less than or equal to Q34 "F", then

-Mark this number in Q36 in the small cell facing the "F" in the column reserved for the recording of data related to this woman.


N.B: The children less than one year old recorded as member of the household and whose mothers do not live in the household (because of death or departure) will not be counted in the events of the last 12 months.

Example of a case of a single birth: [Example omitted]

Example of a case of a multiple birth: [Example omitted]


Filling out the Standard Household Questionnaire for the women in household 01 of structure 074
[Table omitted]]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female household residents age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of male live births that a woman has had in the last twelve months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V199" name="CM05A515" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="286" EndPos="287" width="2" RecSegNo="1"/>
      <labl>
        Female live births in last 12 months
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




36. How many live births did you have within the last 12 months?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

36. Number of live births in the last 12 months (by women age 12 and older)
This question has undergone serious changes, thus you should strictly adhere to the following new instructions on how to ask the questions and mark the responses provided.  


a) To start,


-Disregard the following mentions which are on the questionnaire in each of the 6 columns, these are:
Birth 1, Birth 2, Birth 3, etc.
Name of the child, etc.



b) Each of these 6 columns is now reserved for the collection of date related to the live births of a woman aged 12 years or older having occurred over the course of the last 12 months.  As such, one column, questions Q34 and Q 35, are not recorded: Q34=Empty and Q35=Empty, if that means that each column is reserved to the recording of the data related to a man or to a young girl who is less than 12 years old: check the accuracy of this situation.  If it is true, then leave Q36 also "Empty".  If it's false, proceed to make the necessary corrections, then follow the following instructions since you are dealing with a woman who is 12 years or older. 

c) The individual is a woman age 12 and older.  Questions Q34 and Q35 are recorded.  If Q34 if empty and Q35 if empty, that means that we recorded the data related to the number of live born children and the number of children still alive that a woman aged 12 and up has already had.  Under these conditions, you must ask this woman Q36, the following question:
Q. Did you/did _____ have any live births over the period of time between November _____ 2005 and November ______ 2005?


If: Q34=Q35=00, this woman never had live born children over the course of her life, consequently over the course of the last 12 months she didn't have any live births; nevertheless, ask her the same question in the formation that follows:

-Do you confirm that you never had any live births over the course of the last 12 months?


If the answer is Yes, then:

-Mark "0" in each small space facing the "M" and "F" which symbolize the sex of the children who would be live born over the course of the last 12 months, in the column reserved for the recording of the date about this woman. 

If the answer is No, meaning that the woman claimed to have had one live birth over the course of the last 12 months, ask her this question:

Q. Where is this child?


If there is confirmation that the child was live born over the course of the last 12 months, then,

-Ask her the sex of this child and mark "1" in one of the cells facing the "M" or "F" for the sex of the child. 
-Remember that there is an inaccuracy regarding the answers obtained before Q34 and Q35; given the new data, make the necessary corrections.


If: Q34 "M" &gt; 00 and/or Q34 "F" &gt; 00, this woman has already had live born children over the course of her life; as her the following question:

-Among the "n" male children that you have had, how many were born over the course of the last 12 months?


If the response obtained is a number less than or equal to Q34 "M", then

-Mark this number in Q36 in the small cell facing the "M" in the column reserved for the recording of dad related to this woman;

-Among the "n" female children that you have, how many were born over the course of the last 12 months?


If the response obtained is a number less than or equal to Q34 "F", then

-Mark this number in Q36 in the small cell facing the "F" in the column reserved for the recording of data related to this woman.


N.B: The children less than one year old recorded as member of the household and whose mothers do not live in the household (because of death or departure) will not be counted in the events of the last 12 months.

Example of a case of a single birth: [Example omitted]

Example of a case of a multiple birth: [Example omitted]


Filling out the Standard Household Questionnaire for the women in household 01 of structure 074
[Table omitted]]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female household residents age 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female live births that a woman has had in the last twelve months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V200" name="CM05A516" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="288" EndPos="289" width="2" RecSegNo="1"/>
      <labl>
        Children born alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




34. How many live births has she ever had?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

34. Woman's name and number of live born children

Live births
Live births means all products of conception which, after expulsion or extraction from the mother's body, shows any sign of life, like crying, tears, breathing, heartbeat, motility, even if it only lived a few minutes after birth.

-Write down the name of the each woman age 12 or older respecting the order number of the registration rank of the first page of the questionnaire.


[Example omitted]

Q: Did ______ deliver a live baby?
If the answer is no:

-Mark in the reserved space 00 for the male sex and 00 for the female sex in Q. 34 and Q35

If the answer is yes:

-Ask the number of male births and the number of female births; 
-Mark the number of children of male sex and the number of children of female sex declared in the reserved space.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Women aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children borne alive to a woman.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V201" name="CM05A517" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="290" EndPos="291" width="2" RecSegNo="1"/>
      <labl>
        Children still living
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




35. How many are still living?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

35. Survival of children or number of children still alive, by sex.
Q. "Of all these children, how many boys are still live?  And how many girls are still alive?"

-Mark the number given in the reserved space. 


N.B: The part of the Standard Household Questionnaire (QMO) "Live births in the last 12 months" becomes "Women age 12 or older".
The last 12 months are counted starting with the reference night, meaning beginning on the night before your visit to the household.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Women aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children borne to a woman and still living.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V202" name="CM05A518" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="292" EndPos="292" width="1" RecSegNo="1"/>
      <labl>
        Children born in last 12 months
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Females 12 and above
 [Questions 34-36 were asked of females age 12 and older.]




36. How many live births did you have within the last 12 months?

_ _ Male
_ _ Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

36. Number of live births in the last 12 months (by women age 12 and older)
This question has undergone serious changes, thus you should strictly adhere to the following new instructions on how to ask the questions and mark the responses provided.  


a) To start,


-Disregard the following mentions which are on the questionnaire in each of the 6 columns, these are:
Birth 1, Birth 2, Birth 3, etc.
Name of the child, etc.



b) Each of these 6 columns is now reserved for the collection of date related to the live births of a woman aged 12 years or older having occurred over the course of the last 12 months.  As such, one column, questions Q34 and Q 35, are not recorded: Q34=Empty and Q35=Empty, if that means that each column is reserved to the recording of the data related to a man or to a young girl who is less than 12 years old: check the accuracy of this situation.  If it is true, then leave Q36 also "Empty".  If it's false, proceed to make the necessary corrections, then follow the following instructions since you are dealing with a woman who is 12 years or older. 

c) The individual is a woman age 12 and older.  Questions Q34 and Q35 are recorded.  If Q34 if empty and Q35 if empty, that means that we recorded the data related to the number of live born children and the number of children still alive that a woman aged 12 and up has already had.  Under these conditions, you must ask this woman Q36, the following question:
Q. Did you/did _____ have any live births over the period of time between November _____ 2005 and November ______ 2005?


If: Q34=Q35=00, this woman never had live born children over the course of her life, consequently over the course of the last 12 months she didn't have any live births; nevertheless, ask her the same question in the formation that follows:

-Do you confirm that you never had any live births over the course of the last 12 months?


If the answer is Yes, then:

-Mark "0" in each small space facing the "M" and "F" which symbolize the sex of the children who would be live born over the course of the last 12 months, in the column reserved for the recording of the date about this woman. 

If the answer is No, meaning that the woman claimed to have had one live birth over the course of the last 12 months, ask her this question:

Q. Where is this child?


If there is confirmation that the child was live born over the course of the last 12 months, then,

-Ask her the sex of this child and mark "1" in one of the cells facing the "M" or "F" for the sex of the child. 
-Remember that there is an inaccuracy regarding the answers obtained before Q34 and Q35; given the new data, make the necessary corrections.


If: Q34 "M" &gt; 00 and/or Q34 "F" &gt; 00, this woman has already had live born children over the course of her life; as her the following question:

-Among the "n" male children that you have had, how many were born over the course of the last 12 months?


If the response obtained is a number less than or equal to Q34 "M", then

-Mark this number in Q36 in the small cell facing the "M" in the column reserved for the recording of dad related to this woman;

-Among the "n" female children that you have, how many were born over the course of the last 12 months?


If the response obtained is a number less than or equal to Q34 "F", then

-Mark this number in Q36 in the small cell facing the "F" in the column reserved for the recording of data related to this woman.


N.B: The children less than one year old recorded as member of the household and whose mothers do not live in the household (because of death or departure) will not be counted in the events of the last 12 months.

Example of a case of a single birth: [Example omitted]

Example of a case of a multiple birth: [Example omitted]


Filling out the Standard Household Questionnaire for the women in household 01 of structure 074
[Table omitted]]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Women aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children borne to a woman in the last twelve months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V203" name="CM05A519" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="293" EndPos="293" width="1" RecSegNo="1"/>
      <labl>
        Heard of AIDS
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

41. Have you ever heard of HIV/AIDS?

[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

41. Knowledge of HIV/AIDS

N.B: The question on the knowledge of HIV/AIDS is only asked to resident members of the household who help with the interview, mainly to the women aged 12 and up and to the men aged 15 and up.  The people living there who are not helping with the interview will not be questioned on this subject.

Q. Have you ever heard of HIV/AIDS?

-Mark in the proper space the answer (1=Yes, 2=No).


If the answer is no, 

-Go to question 42]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Resident members who helped with the interview, mainly women 12+ or men 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates if a resident member has heard of HIV.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V204" name="CM05A520" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="294" EndPos="295" width="2" RecSegNo="1"/>
      <labl>
        Transmission of AIDS
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

42. What ways of transmission of HIV do you know?

[] 1 Sexual contact
[] 2 Contact with infected blood
[] 4 From mother to infant (child)
[] 8 Use of stained objects
[] 16 Don't know]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

42. Knowledge of transmission of HIV/AIDS
N.B: The question on the knowledge of the transmission of HIV/AIDS is only asked to the female residents present aged 12 and up, and to the male residents aged 15 and up. 
The codes for the terms of this variable are:

01-sexual transmission
02-blood transfusion
04-from mother to child
08-use of dirty instruments
16-Don't know


Q. What modes of transmission of HIV/AIDS do you know of?


-Mark in the space indicated while respecting the order or the registration column of the surveyed person, the code of knowledge of transmission of HIV/AIDS.


N.B: Don't forget that the people mentioned at the top of the page are the individuals in the household deceased in the last 12 months.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Resident members who helped with the interview, mainly women 12+ or men 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates that the type of transmission of AIDS that a person has heard of.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Through blood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sexual transmission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Through blood/Sexual transmDirty instrumentssion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mother-to-child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Through blood/Mother-to-child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sexual transmDirty instrumentssion/Mother-to-child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Through blood/Sexual transmDirty instrumentssion/Mother-to-child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Dirty instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Through blood/Dirty instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
ID de suivi
UA-68657814-1


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