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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          2004 Population and Housing Census
        </titl>
        <IDNo>
          DDI_WBG_SLE_2004_PHC_v01_M_v02_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
        <othId>
          <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>
        <prodDate date="2016-04-25">
          2016-04-25
        </prodDate>
        <software version="4.1 Beta 1" date="2014-11-06">
          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[- v6.4 April 2016
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.
        
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.

Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)]]>
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Population and Housing Census 2004 - IPUMS Subset
        </titl>
        <altTitl>
          PHC 2004 (IPUMS Harmonized Subset)
        </altTitl>
        <IDNo>
          WBG_SLE_2004_PHC_v01_M_v02_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Statistics Sierra Leone (SLL)
        </AuthEnty>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) Copyright 2004, Statistics Sierra Leone (SLL) and Minnesota Population Center
        </copyright>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact>
          Statistics Sierra Leone (SLL)
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Population and Housing Census [hh/popcen]
        </serName>
      </serStmt>
      <verStmt>
        <version date="2016-04-25">
          <![CDATA[Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.

In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.

In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="IPUMS">
          Technical Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: Global Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Technical Person Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Demographic Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Group Quarters Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Utilities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Dwelling Characteristics Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Other Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Nativity and Birthplace Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Family Interrelationship Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fertility and Mortality 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">
          Disability Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Migration Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: M-Z Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Household Economic Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Occupation Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Industry Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Other Person 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="2004-12-04" event="start"/>
        <timePrd date="2004-12-04" event="end"/>
        <collDate date="2004-12-04" event="start"/>
        <collDate date="2004-12-18" event="end"/>
        <nation abbr="SLE">
          Sierra Leone
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <geogUnit>
          Chiefdom/ward
        </geogUnit>
        <anlyUnit>
          <![CDATA[Household

UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes (institution)
- Special populations: Yes (refugee, homeless, boating population)

UNIT DESCRIPTIONS:
- Dwellings: The dwelling unit refers to that part of the structure occupied by the household.
- Households: A household is defined as a person or group of persons who normally eat and live together.
- Group quarters: Groups of people living together in places such as hospitals, colleges, hotels, barracks, and prisons.]]>
        </anlyUnit>
        <universe>
          All persons living in Sierra Leone
        </universe>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          <![CDATA[MICRODATA SOURCE: Statistics Sierra Leone (SLL)

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 494,298]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          Sierra Leone 2004 Population and Housing Census questionnaire
        </resInstru>
        <sources/>
        <collSitu>
          De facto, CENSUS DAY: December 4, 2004, FIELD WORK PERIOD: First two weeks of December 2004
        </collSitu>
        <actMin>
          Direct enumeration (house-to-house visits)
        </actMin>
        <weight>
          Self-weighting (expansion factor = 10).
        </weight>
      </dataColl>
    </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 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4.

Researchers should also acknowledge the statistical agency that originally produced the data:
Sierra Leone, Statistics Sierra Leone (SLL), 2004 Population and Housing Census

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>
  </stdyDscr>
  <fileDscr ID="F1" URI="WBG_SLE_2004_PHC_v01_M_v02_A_IPUMS.Nesstar?Index=0&amp;Name=SLE2004-H-H">
    <fileTxt>
      <fileName>
        SLE2004-H-H.NSDstat
      </fileName>
      <fileCont>
        Household records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2" keyvar="V2"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          108
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
      <verStmt>
        <version>
          Version 6.4, IPUMS sample
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F2" URI="WBG_SLE_2004_PHC_v01_M_v02_A_IPUMS.Nesstar?Index=1&amp;Name=SLE2004-P-H">
    <fileTxt>
      <fileName>
        SLE2004-P-H.NSDstat
      </fileName>
      <fileCont>
        Person records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V109 V230"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          124
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
      <verStmt>
        <version>
          Version 6.4, IPUMS sample
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V1" name="RECTYPE" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="1" width="1" RecSegNo="1"/>
      <labl>
        Record type
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![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.]]>
      </txt>
      <codInstr>
        <![CDATA[RECTYPE is a 1-digit alphabetic (non-numeric) variable.

		
H = Household record
P = Person record]]>
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="SERIAL" files="F1" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="27" 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 Household 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 Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="SAMPLE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="17" width="9" RecSegNo="1"/>
      <labl>
        IPUMS sample identifier
      </labl>
      <valrng>
        <range UNITS="REAL" min="32197001" max="894201001"/>
      </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 9-digit code.  The code is structured as follows:


The first 3 digits are the ISO/UN codes used in COUNTRY



The next 4 digits are the year of the census/survey



The final 2 digits identify the sample within the year.  For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).]]>
      </txt>
      <catgry>
        <catValu>
          32197001
        </catValu>
        <labl>
          Argentina 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32199101
        </catValu>
        <labl>
          Argentina 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32200101
        </catValu>
        <labl>
          Argentina 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32201001
        </catValu>
        <labl>
          Argentina 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32219801
        </catValu>
        <labl>
          Argentina 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40197101
        </catValu>
        <labl>
          Austria 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40198101
        </catValu>
        <labl>
          Austria 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40199101
        </catValu>
        <labl>
          Austria 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40200101
        </catValu>
        <labl>
          Austria 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40201101
        </catValu>
        <labl>
          Austria 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50199101
        </catValu>
        <labl>
          Bangladesh 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50200101
        </catValu>
        <labl>
          Bangladesh 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50201101
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51200101
        </catValu>
        <labl>
          Armenia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51201101
        </catValu>
        <labl>
          Armenia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68197601
        </catValu>
        <labl>
          Bolivia 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68199201
        </catValu>
        <labl>
          Bolivia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68200101
        </catValu>
        <labl>
          Bolivia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76196001
        </catValu>
        <labl>
          Brazil 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76197001
        </catValu>
        <labl>
          Brazil 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76198001
        </catValu>
        <labl>
          Brazil 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76199101
        </catValu>
        <labl>
          Brazil 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76200001
        </catValu>
        <labl>
          Brazil 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76201001
        </catValu>
        <labl>
          Brazil 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112199901
        </catValu>
        <labl>
          Belarus 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116199801
        </catValu>
        <labl>
          Cambodia 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116200801
        </catValu>
        <labl>
          Cambodia 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120197601
        </catValu>
        <labl>
          Cameroon 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120198701
        </catValu>
        <labl>
          Cameroon 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120200501
        </catValu>
        <labl>
          Cameroon 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124197101
        </catValu>
        <labl>
          Canada 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124198101
        </catValu>
        <labl>
          Canada 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124199101
        </catValu>
        <labl>
          Canada 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124200101
        </catValu>
        <labl>
          Canada 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152196001
        </catValu>
        <labl>
          Chile 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152197001
        </catValu>
        <labl>
          Chile 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152198201
        </catValu>
        <labl>
          Chile 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152199201
        </catValu>
        <labl>
          Chile 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152200201
        </catValu>
        <labl>
          Chile 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156198201
        </catValu>
        <labl>
          China 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156199001
        </catValu>
        <labl>
          China 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170196401
        </catValu>
        <labl>
          Colombia 1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170197301
        </catValu>
        <labl>
          Colombia 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170198501
        </catValu>
        <labl>
          Colombia 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170199301
        </catValu>
        <labl>
          Colombia 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170200501
        </catValu>
        <labl>
          Colombia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188196301
        </catValu>
        <labl>
          Costa Rica 1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188197301
        </catValu>
        <labl>
          Costa Rica 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188198401
        </catValu>
        <labl>
          Costa Rica 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188200001
        </catValu>
        <labl>
          Costa Rica 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188201101
        </catValu>
        <labl>
          Costa Rica 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192200201
        </catValu>
        <labl>
          Cuba 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214196001
        </catValu>
        <labl>
          Dominican Republic 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214197001
        </catValu>
        <labl>
          Dominican Republic 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214198101
        </catValu>
        <labl>
          Dominican Republic 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214200201
        </catValu>
        <labl>
          Dominican Republic 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214201001
        </catValu>
        <labl>
          Dominican Republic 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218196201
        </catValu>
        <labl>
          Ecuador 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218197401
        </catValu>
        <labl>
          Ecuador 1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218198201
        </catValu>
        <labl>
          Ecuador 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218199001
        </catValu>
        <labl>
          Ecuador 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218200101
        </catValu>
        <labl>
          Ecuador 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218201001
        </catValu>
        <labl>
          Ecuador 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222199201
        </catValu>
        <labl>
          El Salvador 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222200701
        </catValu>
        <labl>
          El Salvador 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231198401
        </catValu>
        <labl>
          Ethiopia 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231199401
        </catValu>
        <labl>
          Ethiopia 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231200701
        </catValu>
        <labl>
          Ethiopia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242196601
        </catValu>
        <labl>
          Fiji 1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242197601
        </catValu>
        <labl>
          Fiji 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242198601
        </catValu>
        <labl>
          Fiji 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242199601
        </catValu>
        <labl>
          Fiji 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242200701
        </catValu>
        <labl>
          Fiji 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250196201
        </catValu>
        <labl>
          France 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250196801
        </catValu>
        <labl>
          France 1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250197501
        </catValu>
        <labl>
          France 1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250198201
        </catValu>
        <labl>
          France 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250199001
        </catValu>
        <labl>
          France 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250199901
        </catValu>
        <labl>
          France 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250200601
        </catValu>
        <labl>
          France 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250201101
        </catValu>
        <labl>
          France 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275199701
        </catValu>
        <labl>
          Palestine 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275200701
        </catValu>
        <labl>
          Palestine 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276197001
        </catValu>
        <labl>
          Germany 1970 (West)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276197101
        </catValu>
        <labl>
          Germany 1971 (East)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276198101
        </catValu>
        <labl>
          Germany 1981 (East)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276198701
        </catValu>
        <labl>
          Germany 1987 (West)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288198401
        </catValu>
        <labl>
          Ghana 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288200001
        </catValu>
        <labl>
          Ghana 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288201001
        </catValu>
        <labl>
          Ghana 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300197101
        </catValu>
        <labl>
          Greece 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300198101
        </catValu>
        <labl>
          Greece 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300199101
        </catValu>
        <labl>
          Greece 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300200101
        </catValu>
        <labl>
          Greece 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324198301
        </catValu>
        <labl>
          Guinea 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324199601
        </catValu>
        <labl>
          Guinea 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332197101
        </catValu>
        <labl>
          Haiti 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332198201
        </catValu>
        <labl>
          Haiti 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332200301
        </catValu>
        <labl>
          Haiti 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348197001
        </catValu>
        <labl>
          Hungary 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348198001
        </catValu>
        <labl>
          Hungary 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348199001
        </catValu>
        <labl>
          Hungary 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348200101
        </catValu>
        <labl>
          Hungary 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356198341
        </catValu>
        <labl>
          India 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356198741
        </catValu>
        <labl>
          India 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356199341
        </catValu>
        <labl>
          India 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356199941
        </catValu>
        <labl>
          India 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356200441
        </catValu>
        <labl>
          India 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360197101
        </catValu>
        <labl>
          Indonesia 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360197601
        </catValu>
        <labl>
          Indonesia 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360198001
        </catValu>
        <labl>
          Indonesia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360198501
        </catValu>
        <labl>
          Indonesia 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360199001
        </catValu>
        <labl>
          Indonesia 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360199501
        </catValu>
        <labl>
          Indonesia 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360200001
        </catValu>
        <labl>
          Indonesia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360200501
        </catValu>
        <labl>
          Indonesia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360201001
        </catValu>
        <labl>
          Indonesia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364200601
        </catValu>
        <labl>
          Iran 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368199701
        </catValu>
        <labl>
          Iraq 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372197101
        </catValu>
        <labl>
          Ireland 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372197901
        </catValu>
        <labl>
          Ireland 1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372198101
        </catValu>
        <labl>
          Ireland 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372198601
        </catValu>
        <labl>
          Ireland 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372199101
        </catValu>
        <labl>
          Ireland 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372199601
        </catValu>
        <labl>
          Ireland 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372200201
        </catValu>
        <labl>
          Ireland 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372200601
        </catValu>
        <labl>
          Ireland 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372201101
        </catValu>
        <labl>
          Ireland 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376197201
        </catValu>
        <labl>
          Israel 1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376198301
        </catValu>
        <labl>
          Israel 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376199501
        </catValu>
        <labl>
          Israel 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380200101
        </catValu>
        <labl>
          Italy 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388198201
        </catValu>
        <labl>
          Jamaica 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388199101
        </catValu>
        <labl>
          Jamaica 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388200101
        </catValu>
        <labl>
          Jamaica 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400200401
        </catValu>
        <labl>
          Jordan 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404196901
        </catValu>
        <labl>
          Kenya 1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404197901
        </catValu>
        <labl>
          Kenya 1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404198901
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404199901
        </catValu>
        <labl>
          Kenya 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404200901
        </catValu>
        <labl>
          Kenya 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417199901
        </catValu>
        <labl>
          Kyrgyz Republic 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417200901
        </catValu>
        <labl>
          Kyrgyz Republic 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430197401
        </catValu>
        <labl>
          Liberia 1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430200801
        </catValu>
        <labl>
          Liberia 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454198701
        </catValu>
        <labl>
          Malawi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454199801
        </catValu>
        <labl>
          Malawi 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454200801
        </catValu>
        <labl>
          Malawi 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458197001
        </catValu>
        <labl>
          Malaysia 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458198001
        </catValu>
        <labl>
          Malaysia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458199101
        </catValu>
        <labl>
          Malaysia 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458200001
        </catValu>
        <labl>
          Malaysia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466198701
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466199801
        </catValu>
        <labl>
          Mali 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466200901
        </catValu>
        <labl>
          Mali 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484196001
        </catValu>
        <labl>
          Mexico 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484197001
        </catValu>
        <labl>
          Mexico 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484199001
        </catValu>
        <labl>
          Mexico 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484199501
        </catValu>
        <labl>
          Mexico 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484200001
        </catValu>
        <labl>
          Mexico 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484200501
        </catValu>
        <labl>
          Mexico 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484201001
        </catValu>
        <labl>
          Mexico 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496198901
        </catValu>
        <labl>
          Mongolia 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496200001
        </catValu>
        <labl>
          Mongolia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504198201
        </catValu>
        <labl>
          Morocco 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504199401
        </catValu>
        <labl>
          Morocco 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504200401
        </catValu>
        <labl>
          Morocco 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508199701
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508200701
        </catValu>
        <labl>
          Mozambique 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524200101
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528196001
        </catValu>
        <labl>
          Netherlands 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528197101
        </catValu>
        <labl>
          Netherlands 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528200101
        </catValu>
        <labl>
          Netherlands 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558197101
        </catValu>
        <labl>
          Nicaragua 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558199501
        </catValu>
        <labl>
          Nicaragua 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558200501
        </catValu>
        <labl>
          Nicaragua 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200621
        </catValu>
        <labl>
          Nigeria 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200721
        </catValu>
        <labl>
          Nigeria 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200821
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200921
        </catValu>
        <labl>
          Nigeria 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566201021
        </catValu>
        <labl>
          Nigeria 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586197301
        </catValu>
        <labl>
          Pakistan 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586198101
        </catValu>
        <labl>
          Pakistan 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586199801
        </catValu>
        <labl>
          Pakistan 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591196001
        </catValu>
        <labl>
          Panama 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591197001
        </catValu>
        <labl>
          Panama 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591198001
        </catValu>
        <labl>
          Panama 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591199001
        </catValu>
        <labl>
          Panama 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591200001
        </catValu>
        <labl>
          Panama 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591201001
        </catValu>
        <labl>
          Panama 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600196201
        </catValu>
        <labl>
          Paraguay 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600197201
        </catValu>
        <labl>
          Paraguay 1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600198201
        </catValu>
        <labl>
          Paraguay 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600199201
        </catValu>
        <labl>
          Paraguay 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600200201
        </catValu>
        <labl>
          Paraguay 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604199301
        </catValu>
        <labl>
          Peru 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604200701
        </catValu>
        <labl>
          Peru 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608199001
        </catValu>
        <labl>
          Philippines 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608199501
        </catValu>
        <labl>
          Philippines 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608200001
        </catValu>
        <labl>
          Philippines 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620198101
        </catValu>
        <labl>
          Portugal 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620199101
        </catValu>
        <labl>
          Portugal 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620200101
        </catValu>
        <labl>
          Portugal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620201101
        </catValu>
        <labl>
          Portugal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630197001
        </catValu>
        <labl>
          Puerto Rico 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630198001
        </catValu>
        <labl>
          Puerto Rico 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630199001
        </catValu>
        <labl>
          Puerto Rico 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630200001
        </catValu>
        <labl>
          Puerto Rico 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630200501
        </catValu>
        <labl>
          Puerto Rico 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630201001
        </catValu>
        <labl>
          Puerto Rico 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642197701
        </catValu>
        <labl>
          Romania 1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642199201
        </catValu>
        <labl>
          Romania 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642200201
        </catValu>
        <labl>
          Romania 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646199101
        </catValu>
        <labl>
          Rwanda 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646200201
        </catValu>
        <labl>
          Rwanda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662198001
        </catValu>
        <labl>
          Saint Lucia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662199101
        </catValu>
        <labl>
          Saint Lucia 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686198801
        </catValu>
        <labl>
          Senegal 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686200201
        </catValu>
        <labl>
          Senegal 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694200401
        </catValu>
        <labl>
          Sierra Leone 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704198901
        </catValu>
        <labl>
          Vietnam 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704199901
        </catValu>
        <labl>
          Vietnam 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704200901
        </catValu>
        <labl>
          Vietnam 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705200201
        </catValu>
        <labl>
          Slovenia 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710199601
        </catValu>
        <labl>
          South Africa 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710200101
        </catValu>
        <labl>
          South Africa 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710200701
        </catValu>
        <labl>
          South Africa 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710201101
        </catValu>
        <labl>
          South Africa 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724198101
        </catValu>
        <labl>
          Spain 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724199101
        </catValu>
        <labl>
          Spain 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724200101
        </catValu>
        <labl>
          Spain 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724201101
        </catValu>
        <labl>
          Spain 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728200801
        </catValu>
        <labl>
          South Sudan 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729200801
        </catValu>
        <labl>
          Sudan 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756197001
        </catValu>
        <labl>
          Switzerland 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756198001
        </catValu>
        <labl>
          Switzerland 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756199001
        </catValu>
        <labl>
          Switzerland 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756200001
        </catValu>
        <labl>
          Switzerland 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764197001
        </catValu>
        <labl>
          Thailand 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764198001
        </catValu>
        <labl>
          Thailand 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764199001
        </catValu>
        <labl>
          Thailand 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764200001
        </catValu>
        <labl>
          Thailand 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792198501
        </catValu>
        <labl>
          Turkey 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792199001
        </catValu>
        <labl>
          Turkey 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792200001
        </catValu>
        <labl>
          Turkey 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800199101
        </catValu>
        <labl>
          Uganda 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800200201
        </catValu>
        <labl>
          Uganda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804200101
        </catValu>
        <labl>
          Ukraine 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818199601
        </catValu>
        <labl>
          Egypt 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818200601
        </catValu>
        <labl>
          Egypt 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826199101
        </catValu>
        <labl>
          United Kingdom 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826200101
        </catValu>
        <labl>
          United Kingdom 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834198801
        </catValu>
        <labl>
          Tanzania 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834200201
        </catValu>
        <labl>
          Tanzania 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840196001
        </catValu>
        <labl>
          United States 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840197001
        </catValu>
        <labl>
          United States 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840198001
        </catValu>
        <labl>
          United States 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840199001
        </catValu>
        <labl>
          United States 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840200001
        </catValu>
        <labl>
          United States 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840200501
        </catValu>
        <labl>
          United States 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840201001
        </catValu>
        <labl>
          United States 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854198501
        </catValu>
        <labl>
          Burkina Faso 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854199601
        </catValu>
        <labl>
          Burkina Faso 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854200601
        </catValu>
        <labl>
          Burkina Faso 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858196301
        </catValu>
        <labl>
          Uruguay 1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858197501
        </catValu>
        <labl>
          Uruguay 1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858198501
        </catValu>
        <labl>
          Uruguay 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858199601
        </catValu>
        <labl>
          Uruguay 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858200621
        </catValu>
        <labl>
          Uruguay 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858201101
        </catValu>
        <labl>
          Uruguay 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862197101
        </catValu>
        <labl>
          Venezuela 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862198101
        </catValu>
        <labl>
          Venezuela 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862199001
        </catValu>
        <labl>
          Venezuela 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862200101
        </catValu>
        <labl>
          Venezuela 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894199001
        </catValu>
        <labl>
          Zambia 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894200001
        </catValu>
        <labl>
          Zambia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894201001
        </catValu>
        <labl>
          Zambia 2010
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="URBAN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" 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>
          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: Global Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="REGIONW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="58" 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: Global Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V7" name="PERSONS" files="F1" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="30" 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 Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="SUBSAMP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="40" 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 Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="GQ" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        Group quarters (collective dwelling) 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="PHONE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Telephone availability
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PHONE indicates the availability of a telephone in the dwelling.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="TRASH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="87" 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="V12" name="CELL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Cellular phone availability
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CELL indicates the availability of a cellular phone in the household.
      </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="V13" name="WATSUP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        Water supply
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WATSUP describes the physical means by which the housing unit receives its water.  The primary distinction is whether or not the household had piped (running) water.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, piped water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Piped inside dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Piped, exclusively to this household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Piped, shared with other households
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Piped outside the dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Piped outside dwelling, in building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Piped within the building or plot of land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Piped outside the building or lot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Have access to public piped water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No piped water
        </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="V14" name="AUTOS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        Automobiles available
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No autos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 auto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 autos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 autos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 autos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 autos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+ autos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Have auto, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="TV" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        Television set
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TV indicates whether the household had a television.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, color or black-and-white not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          1 television
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          2 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          3 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          4 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          5 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          6 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          7 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          8 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          9+ televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Yes, color only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          1 color tv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          2 color tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          3+ color tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Yes, black-and-white only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          1 black-white tv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          2 black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          3+ black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Yes, both color and black-and-white
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          2+ color and black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          3+ color and black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          4+ color and black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="RADIO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Radio in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RADIO indicates whether the household had a radio.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="REFRIG" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="90" width="1" RecSegNo="1"/>
      <labl>
        Refrigerator
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        REFRIG indicates whether the household had a refrigerator.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="ROOF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="106" 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 or wood 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="V19" name="TOILET" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="97" 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="V20" name="ROOMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="95" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ROOMS indicates the number of rooms occupied by the housing unit.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Part of a room; no rooms
        </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>
          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="V21" name="FLOOR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="101" 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="V22" name="WALL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="104" 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="V23" name="BATH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Bathing facilities
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No bathing facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Have bathing facility, exclusivity not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Have bathing facility, exclusive use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Have bathing facility, shared use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="MORTNUM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="107" 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 Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="ANYMORT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="108" 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 Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="UNREL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" 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="V27" name="HEADLOC" files="F1" dcml="0" intrvl="contin">
      <location StartPos="115" EndPos="117" width="3" RecSegNo="1"/>
      <labl>
        Head's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
      </txt>
      <codInstr>
        This is a 3-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="HHTYPE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" 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="V29" name="NFAMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="111" 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="V30" name="GEOLEV1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="64" 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, Rangpur [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50060
        </catValu>
        <labl>
          Sylhet [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51901
        </catValu>
        <labl>
          Yerevan [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51902
        </catValu>
        <labl>
          Aragatsotn [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51903
        </catValu>
        <labl>
          Ararat [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51904
        </catValu>
        <labl>
          Armavir [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51905
        </catValu>
        <labl>
          Gegharkunik [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51906
        </catValu>
        <labl>
          Lori [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51907
        </catValu>
        <labl>
          Kotayk [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51908
        </catValu>
        <labl>
          Shirak [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51909
        </catValu>
        <labl>
          Syunik [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51910
        </catValu>
        <labl>
          Vayots Dzor [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51911
        </catValu>
        <labl>
          Tavush [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>
          Rondonia [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>
          Amapa [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76021
        </catValu>
        <labl>
          Maranhao [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>
          Paraiba [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>
          Parana [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, 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 Meanchey [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116002
        </catValu>
        <labl>
          Battambang [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 Speu [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116006
        </catValu>
        <labl>
          Kampong Thom [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>
          Koh Kong [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116010
        </catValu>
        <labl>
          Kratie [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116011
        </catValu>
        <labl>
          Mondul 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 Veng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116015
        </catValu>
        <labl>
          Pursat [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116016
        </catValu>
        <labl>
          Rotanak Kiri [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116017
        </catValu>
        <labl>
          Siem Reap and Otdar Meanchey [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116018
        </catValu>
        <labl>
          Preah Sihanouk [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116019
        </catValu>
        <labl>
          Stung Treng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116020
        </catValu>
        <labl>
          Svay Rieng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116021
        </catValu>
        <labl>
          Takeo [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116023
        </catValu>
        <labl>
          Kep [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116024
        </catValu>
        <labl>
          Pailin [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120002
        </catValu>
        <labl>
          Centre, Sud [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120003
        </catValu>
        <labl>
          Est [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120004
        </catValu>
        <labl>
          Nord, Adamoua , 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, 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>
          Bolívar 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>
          Córdoba [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 de Santander [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170066
        </catValu>
        <labl>
          Caldas, Quindío, 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, Vaupés, and Guainía [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 Río [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>
          Camagüey [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192010
        </catValu>
        <labl>
          Las Tunas [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192011
        </catValu>
        <labl>
          Holguín [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>
          Guantánamo [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>
          Bolívar [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>
          218009
        </catValu>
        <labl>
          Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218010
        </catValu>
        <labl>
          Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218011
        </catValu>
        <labl>
          Loja [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>
          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, Sucumbíos [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>
          231001
        </catValu>
        <labl>
          Tigray [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231002
        </catValu>
        <labl>
          Affar [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231003
        </catValu>
        <labl>
          Amhara [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231004
        </catValu>
        <labl>
          Oromiya [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231005
        </catValu>
        <labl>
          Somali [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231006
        </catValu>
        <labl>
          Benishangul-Gumz [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231007
        </catValu>
        <labl>
          Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231012
        </catValu>
        <labl>
          Gambela [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231013
        </catValu>
        <labl>
          Harari [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231014
        </catValu>
        <labl>
          Addis Ababa [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231015
        </catValu>
        <labl>
          Dire Dawa [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231017
        </catValu>
        <labl>
          Special region [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238094
        </catValu>
        <labl>
          Falkland Islands [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239094
        </catValu>
        <labl>
          South Georgia and South Sandwich Islands [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242001
        </catValu>
        <labl>
          Ba [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242003
        </catValu>
        <labl>
          Bua, Cakaudrove [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242006
        </catValu>
        <labl>
          Kadavu, Lau, Lomaiviti, 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, Rewa [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242011
        </catValu>
        <labl>
          Ra [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242014
        </catValu>
        <labl>
          Serua, Namosi [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242015
        </catValu>
        <labl>
          Tailevu [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242099
        </catValu>
        <labl>
          Ships, 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>
          French Guyana [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250004
        </catValu>
        <labl>
          Réunion Island [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250011
        </catValu>
        <labl>
          Île-de-France [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250021
        </catValu>
        <labl>
          Champagne-Ardenne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250022
        </catValu>
        <labl>
          Picardy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250023
        </catValu>
        <labl>
          Upper Normandy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250024
        </catValu>
        <labl>
          Centre [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250025
        </catValu>
        <labl>
          Lower Normandy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250026
        </catValu>
        <labl>
          Burgundy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250031
        </catValu>
        <labl>
          North 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>
          Loire Valley [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250053
        </catValu>
        <labl>
          Brittany [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>
          Languedoc-Roussillon [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250093
        </catValu>
        <labl>
          Provence-Alpes-Riviera [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250094
        </catValu>
        <labl>
          Corsica [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250999
        </catValu>
        <labl>
          Unknown [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, Mamou [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>
          332003
        </catValu>
        <labl>
          Nord (North) and Nord'est (North East) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332006
        </catValu>
        <labl>
          Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332007
        </catValu>
        <labl>
          Grand'Anse, Nippes, Sud (South) [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 [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 Maluku Utara [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>
          Ajlun [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400031
        </catValu>
        <labl>
          Karak [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400032
        </catValu>
        <labl>
          Tafilah [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, Likoma [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454104
        </catValu>
        <labl>
          Rumphi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454105
        </catValu>
        <labl>
          Mzimba, 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 [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 [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, 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: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484002
        </catValu>
        <labl>
          Baja California [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484003
        </catValu>
        <labl>
          Baja California Sur [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484004
        </catValu>
        <labl>
          Campeche [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484005
        </catValu>
        <labl>
          Coahuila [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484006
        </catValu>
        <labl>
          Colima [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484007
        </catValu>
        <labl>
          Chiapas [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484008
        </catValu>
        <labl>
          Chihuahua [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484009
        </catValu>
        <labl>
          Distrito Federal [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484010
        </catValu>
        <labl>
          Durango [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484011
        </catValu>
        <labl>
          Guanajuato [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484012
        </catValu>
        <labl>
          Guerrero [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484013
        </catValu>
        <labl>
          Hidalgo [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484014
        </catValu>
        <labl>
          Jalisco [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484015
        </catValu>
        <labl>
          México [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484016
        </catValu>
        <labl>
          Michoacán [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484017
        </catValu>
        <labl>
          Morelos [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484018
        </catValu>
        <labl>
          Nayarit [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484019
        </catValu>
        <labl>
          Nuevo León [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484020
        </catValu>
        <labl>
          Oaxaca [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484021
        </catValu>
        <labl>
          Puebla [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484022
        </catValu>
        <labl>
          Querétaro [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484023
        </catValu>
        <labl>
          Quintana Roo [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484024
        </catValu>
        <labl>
          San Luis Potosí [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484025
        </catValu>
        <labl>
          Sinaloa [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484026
        </catValu>
        <labl>
          Sonora [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484027
        </catValu>
        <labl>
          Tabasco [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484028
        </catValu>
        <labl>
          Tamaulipas [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484029
        </catValu>
        <labl>
          Tlaxcala [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484030
        </catValu>
        <labl>
          Veracruz [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484031
        </catValu>
        <labl>
          Yucatán [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484032
        </catValu>
        <labl>
          Zacatecas [State: Meico]
        </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>
          Laâyoune-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-Draâ [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504005
        </catValu>
        <labl>
          Charb-Chrarda-Béni 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>
          Meknès-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>
          508001
        </catValu>
        <labl>
          Niassa [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508002
        </catValu>
        <labl>
          Cabo Delgado [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508003
        </catValu>
        <labl>
          Nampula [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508004
        </catValu>
        <labl>
          Zambézia [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508005
        </catValu>
        <labl>
          Tete [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508006
        </catValu>
        <labl>
          Manica [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508007
        </catValu>
        <labl>
          Sofala [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508008
        </catValu>
        <labl>
          Inhambane [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508009
        </catValu>
        <labl>
          Gaza [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508010
        </catValu>
        <labl>
          Maputo province [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508011
        </catValu>
        <labl>
          Maputo city [Province: Mozambique]
        </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>
          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>
          Federal Capital Territory 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>
          586002
        </catValu>
        <labl>
          Fata [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586003
        </catValu>
        <labl>
          Punjab, Islamabad [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586004
        </catValu>
        <labl>
          Sind [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586005
        </catValu>
        <labl>
          Baluchistan [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586007
        </catValu>
        <labl>
          Northern areas [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586008
        </catValu>
        <labl>
          Kashmir [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591002
        </catValu>
        <labl>
          Coclé [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591003
        </catValu>
        <labl>
          Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591004
        </catValu>
        <labl>
          Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591005
        </catValu>
        <labl>
          Comarca Emberá, Darién [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>
          Panamá [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600000
        </catValu>
        <labl>
          Asunción [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600001
        </catValu>
        <labl>
          Concepción [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600002
        </catValu>
        <labl>
          San Pedro [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600007
        </catValu>
        <labl>
          Itapúa [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600008
        </catValu>
        <labl>
          Misiones and Ñeembucú [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600009
        </catValu>
        <labl>
          Guairá, Caazapá, and Paraguarí [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600010
        </catValu>
        <labl>
          Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600011
        </catValu>
        <labl>
          Central [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600013
        </catValu>
        <labl>
          Amambay [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600015
        </catValu>
        <labl>
          Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600099
        </catValu>
        <labl>
          Unknown [Department: Paraguay]
        </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>
          Apurímac [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>
          Huánuco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604011
        </catValu>
        <labl>
          Ica [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604012
        </catValu>
        <labl>
          Junín [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 Martín [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>
          Região Autónoma dos Açores [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620300
        </catValu>
        <labl>
          Região Autónoma da Madeira [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630101
        </catValu>
        <labl>
          G7201001 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630104
        </catValu>
        <labl>
          G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630110
        </catValu>
        <labl>
          G7201100 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630180
        </catValu>
        <labl>
          G7201800 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630200
        </catValu>
        <labl>
          G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630250
        </catValu>
        <labl>
          G7202500 [PUMA: Puerto Rico]
        </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>
          Dimbovita [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>
          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>
          642043
        </catValu>
        <labl>
          Bucharest Sector 1 to 6 [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642051
        </catValu>
        <labl>
          Calarasi, Giurgiu, Ialomita, Ilfov [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>
          686008
        </catValu>
        <labl>
          Louga, Saint Louis, Matam [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686009
        </catValu>
        <labl>
          Tambacounda [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686010
        </catValu>
        <labl>
          Thiès [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>
          Koroška [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-kraška [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705011
        </catValu>
        <labl>
          Goriška [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705012
        </catValu>
        <labl>
          Obalno-kraška [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>
          710004
        </catValu>
        <labl>
          Free State [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710005
        </catValu>
        <labl>
          Eastern Cape, KwaZulu-Natal [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710007
        </catValu>
        <labl>
          Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710999
        </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 Tororo [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>
          854001
        </catValu>
        <labl>
          Boucle du Mouhoun [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854002
        </catValu>
        <labl>
          Cascades [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854003
        </catValu>
        <labl>
          Centre [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854004
        </catValu>
        <labl>
          Centre-Est [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854005
        </catValu>
        <labl>
          Centre-Nord [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854006
        </catValu>
        <labl>
          Centre-Ouest [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854007
        </catValu>
        <labl>
          Centre-Sud [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854008
        </catValu>
        <labl>
          Est [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854009
        </catValu>
        <labl>
          Hauts-Bassins [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854010
        </catValu>
        <labl>
          Nord [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854011
        </catValu>
        <labl>
          Plateau Central [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854012
        </catValu>
        <labl>
          Sahel [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854013
        </catValu>
        <labl>
          Sud-Ouest [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>
          Paysandú [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858012
        </catValu>
        <labl>
          Río 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>
          Tacuarembó [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858019
        </catValu>
        <labl>
          Treinta Y Tres [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862001
        </catValu>
        <labl>
          Federal District, Vargas [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862002
        </catValu>
        <labl>
          Amazonas Federal Territory [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862003
        </catValu>
        <labl>
          Anzoátegui [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>
          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>
          Barinas, 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, 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, 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: Global Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="SL2004A_0001" files="F1" dcml="0" intrvl="contin">
      <location StartPos="118" EndPos="123" width="6" 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>
        Dwelling number.
      </txt>
      <codInstr>
        This is a 6-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="SL2004A_0006" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="125" width="2" RecSegNo="1"/>
      <labl>
        Number of persons in household
      </labl>
      <qstn>
        <qstnLit>
          Number of persons in household
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="72"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of persons in household.
      </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>
      <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>
          62
        </catValu>
        <labl>
          62
        </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>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="SL2004A_0017" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="126" width="1" RecSegNo="1"/>
      <labl>
        Province
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Province _ _ _ _
District _ _ _ _
Chiefdom _ _
Section _ _
EA _ _ _
Locality/street ____ _ _
Locality name/street address ________]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Identification particulars top of the questionnaire

i. If an institution, write the name of the institution (e.g. Pademba Road Prisons).

ii. Enter the province code provided on your EA map. For example, Eastern Province is "1".

iii. Enter the district code refer to the code list -- P11 and P12. The second digit is the code for the district (e.g. Kailahun is code "1", Kenema is code "2", etc.)

iv. Enter the Local Council Area code (refer to the code list). The third digit is the code for Local Council Area

v. Enter the chiefdom/ward/town council Area code refer to the code list -- P11 and P12. The last two digits give the code (e.g. Samu in Kambia is code "06", West 3 in Western Urban is code "08", etc.)

vi. Enter the Section code provided on your EA map

vii. Enter the EA number provided on your EA map

viii. Write the locality name and street address

ix. Enter the code for structure type (refer to code list)

x. Record the structure number -- the first structure you enumerate is "001", the second is "002", the third is "003" and so on upwards to the last. All households within the same structure will have the same structure number.

[p.11]

xi. Record the household number -- the first household you enumerate will be "001", the second is "002", the third is "003" and so on upwards to the last.
To ensure that you properly record the structure number and household number correctly in a serial manner, always check the number you gave to the last structure and household enumerated.

xii. Enter the code for population type, refer to the code list (e.g. household is code "01", medical is code "04", etc.)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the province that the household is located in.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="SL2004A_0018" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="128" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Province _ _ _ _
District _ _ _ _
Chiefdom _ _
Section _ _
EA _ _ _
Locality/street ____ _ _
Locality name/street address ________]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Identification particulars top of the questionnaire

i. If an institution, write the name of the institution (e.g. Pademba Road Prisons).

ii. Enter the province code provided on your EA map. For example, Eastern Province is "1".

iii. Enter the district code refer to the code list -- P11 and P12. The second digit is the code for the district (e.g. Kailahun is code "1", Kenema is code "2", etc.)

iv. Enter the Local Council Area code (refer to the code list). The third digit is the code for Local Council Area

v. Enter the chiefdom/ward/town council Area code refer to the code list -- P11 and P12. The last two digits give the code (e.g. Samu in Kambia is code "06", West 3 in Western Urban is code "08", etc.)

vi. Enter the Section code provided on your EA map

vii. Enter the EA number provided on your EA map

viii. Write the locality name and street address

ix. Enter the code for structure type (refer to code list)

x. Record the structure number -- the first structure you enumerate is "001", the second is "002", the third is "003" and so on upwards to the last. All households within the same structure will have the same structure number.

[p.11]

xi. Record the household number -- the first household you enumerate will be "001", the second is "002", the third is "003" and so on upwards to the last.
To ensure that you properly record the structure number and household number correctly in a serial manner, always check the number you gave to the last structure and household enumerated.

xii. Enter the code for population type, refer to the code list (e.g. household is code "01", medical is code "04", etc.)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="11" max="42"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the district that the household is located in.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Kailahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Kenema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Bombali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Koinadugu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Port Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Tonkolili
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Bonthe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Moyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pujehun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Western - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Western - urban
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="SL2004A_0019" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="132" width="4" RecSegNo="1"/>
      <labl>
        Chiefdom/ward
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Province _ _ _ _
District _ _ _ _
Chiefdom _ _
Section _ _
EA _ _ _
Locality/street ____ _ _
Locality name/street address ________]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Identification particulars top of the questionnaire

i. If an institution, write the name of the institution (e.g. Pademba Road Prisons).

ii. Enter the province code provided on your EA map. For example, Eastern Province is "1".

iii. Enter the district code refer to the code list -- P11 and P12. The second digit is the code for the district (e.g. Kailahun is code "1", Kenema is code "2", etc.)

iv. Enter the Local Council Area code (refer to the code list). The third digit is the code for Local Council Area

v. Enter the chiefdom/ward/town council Area code refer to the code list -- P11 and P12. The last two digits give the code (e.g. Samu in Kambia is code "06", West 3 in Western Urban is code "08", etc.)

vi. Enter the Section code provided on your EA map

vii. Enter the EA number provided on your EA map

viii. Write the locality name and street address

ix. Enter the code for structure type (refer to code list)

x. Record the structure number -- the first structure you enumerate is "001", the second is "002", the third is "003" and so on upwards to the last. All households within the same structure will have the same structure number.

[p.11]

xi. Record the household number -- the first household you enumerate will be "001", the second is "002", the third is "003" and so on upwards to the last.
To ensure that you properly record the structure number and household number correctly in a serial manner, always check the number you gave to the last structure and household enumerated.

xii. Enter the code for population type, refer to the code list (e.g. household is code "01", medical is code "04", etc.)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1101" max="4208"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the chiefdom, ward or town council area that the household is located in.
      </txt>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Dea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Jawie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Kissi Kama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Kissi Teng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Kissi Tongi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1106
        </catValu>
        <labl>
          Kpeje Bongre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1107
        </catValu>
        <labl>
          Kpeje West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1108
        </catValu>
        <labl>
          Luawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1109
        </catValu>
        <labl>
          Malema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Mandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1111
        </catValu>
        <labl>
          Njaluahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Penguia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1113
        </catValu>
        <labl>
          Upper Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1114
        </catValu>
        <labl>
          Yawei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Dama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Dodo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Gaura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Gorama Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Kandu Lekpeama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Koya [Kenema]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          Langrama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          Lower Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Malegohun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Niawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Nongowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Simbaru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Small Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          Tunkia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1216
        </catValu>
        <labl>
          Wandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1291
        </catValu>
        <labl>
          Kenema Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Fiama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Gbane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Gbane Kandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Gbense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Gorama Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Kamara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Lei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Mafindor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Nimikoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Nimiyama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Sandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          Tankoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1314
        </catValu>
        <labl>
          Toli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Koidu Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Biriwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Bombali Sebora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Gbanti-Kamaranka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Gbendembu Ngowahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Libeisaygahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Magbaimba Ndorhahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari Gbanti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Paki Masabong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Safroko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Sanda Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Sanda Tenraran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Sella Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Tambakka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Makeni Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Bramaia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gbinle-Dixing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Magbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Mambolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Masungbala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Samu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Tonko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Dembelia Sinkunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Follosaba Dembelia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Kasunko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Mongo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Neya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Nieni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Sengbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2309
        </catValu>
        <labl>
          Sulima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Wara Wara Bafodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wara Wara Yagala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          BKM [Bureh Kaseh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buya Romende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Kaffu Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Koya [Port Loko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Lokomasama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Maforki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Marampa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Masimera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Sanda Magbolontor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          TMS [T.M. Safroko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Gbonkolenken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Kafe Simira
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Kalansogoia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Kholifa Mabang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Kholifa Rowalla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Kunike Barina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Kunike Sanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2508
        </catValu>
        <labl>
          Malal Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Sambaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Tane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Yoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Badjia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Bagbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3103
        </catValu>
        <labl>
          Bagbwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3104
        </catValu>
        <labl>
          Baoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3105
        </catValu>
        <labl>
          Bumpe Ngawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3106
        </catValu>
        <labl>
          Gbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3107
        </catValu>
        <labl>
          Jaiama-Bongor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3108
        </catValu>
        <labl>
          Kakua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3109
        </catValu>
        <labl>
          Komboya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Lugbu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Niawa Lenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          Selenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Tikonko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3114
        </catValu>
        <labl>
          Valunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3115
        </catValu>
        <labl>
          Wunde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Bo Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Bendu Cha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Dema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Imperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Jong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3206
        </catValu>
        <labl>
          Kpanda Kemo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Kwamebai Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3208
        </catValu>
        <labl>
          Nongoba Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3209
        </catValu>
        <labl>
          Sittia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Sogbini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Yawbeko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3291
        </catValu>
        <labl>
          Bonthe Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Bagruwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Bumpeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Dasse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Fakunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Kagboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Kaiyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3307
        </catValu>
        <labl>
          Kamajei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3308
        </catValu>
        <labl>
          Kongbora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Kowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Lower Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Ribbi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Timdale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Upper Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Barri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Gallinasperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Kpaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Kpanga-Kabonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Makpele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Malen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Mano Sakrim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Panga Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Pejeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Soro Gbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Sowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          YKK [Yekomo Kpukumu Krim]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Koya [Western - rural]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Mountain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Waterloo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          York - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Western - urban - Central 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Western - urban - Central 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Western - urban - East 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Western - urban - East 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Western - urban - East 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Western - urban - West 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Western - urban - West 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4208
        </catValu>
        <labl>
          Western - urban - West 3
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="SL2004A_0022" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        Urban/rural status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Province _ _ _ _
District _ _ _ _
Chiefdom _ _
Section _ _
EA _ _ _
Locality/street ____ _ _
Locality name/street address ________]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Identification particulars top of the questionnaire

i. If an institution, write the name of the institution (e.g. Pademba Road Prisons).

ii. Enter the province code provided on your EA map. For example, Eastern Province is "1".

iii. Enter the district code refer to the code list -- P11 and P12. The second digit is the code for the district (e.g. Kailahun is code "1", Kenema is code "2", etc.)

iv. Enter the Local Council Area code (refer to the code list). The third digit is the code for Local Council Area

v. Enter the chiefdom/ward/town council Area code refer to the code list -- P11 and P12. The last two digits give the code (e.g. Samu in Kambia is code "06", West 3 in Western Urban is code "08", etc.)

vi. Enter the Section code provided on your EA map

vii. Enter the EA number provided on your EA map

viii. Write the locality name and street address

ix. Enter the code for structure type (refer to code list)

x. Record the structure number -- the first structure you enumerate is "001", the second is "002", the third is "003" and so on upwards to the last. All households within the same structure will have the same structure number.

[p.11]

xi. Record the household number -- the first household you enumerate will be "001", the second is "002", the third is "003" and so on upwards to the last.
To ensure that you properly record the structure number and household number correctly in a serial manner, always check the number you gave to the last structure and household enumerated.

xii. Enter the code for population type, refer to the code list (e.g. household is code "01", medical is code "04", etc.)]]>
        </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: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="SL2004A_0024" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="134" width="1" RecSegNo="1"/>
      <labl>
        Structure type
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Structure type

[] 1 Single unit 1 storey
[] 2 Multiple unit 1 storey
[] 3 Single unit 2 storey
[] 4 Multiple unit 2 storey
[] 5 Single unit 3+ storey
[] 6 Multiple unit 3+ storey]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Identification particulars top of the questionnaire

i. If an institution, write the name of the institution (e.g. Pademba Road Prisons).

ii. Enter the province code provided on your EA map. For example, Eastern Province is "1".

iii. Enter the district code refer to the code list -- P11 and P12. The second digit is the code for the district (e.g. Kailahun is code "1", Kenema is code "2", etc.)

iv. Enter the Local Council Area code (refer to the code list). The third digit is the code for Local Council Area

v. Enter the chiefdom/ward/town council Area code refer to the code list -- P11 and P12. The last two digits give the code (e.g. Samu in Kambia is code "06", West 3 in Western Urban is code "08", etc.)

vi. Enter the Section code provided on your EA map

vii. Enter the EA number provided on your EA map

viii. Write the locality name and street address

ix. Enter the code for structure type (refer to code list)

x. Record the structure number -- the first structure you enumerate is "001", the second is "002", the third is "003" and so on upwards to the last. All households within the same structure will have the same structure number.

[p.11]

xi. Record the household number -- the first household you enumerate will be "001", the second is "002", the third is "003" and so on upwards to the last.
To ensure that you properly record the structure number and household number correctly in a serial manner, always check the number you gave to the last structure and household enumerated.

xii. Enter the code for population type, refer to the code list (e.g. household is code "01", medical is code "04", etc.)]]>
        </ivuInstr>
      </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 type of structure in which the household resides.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Single unit, 1 storey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Multiple unit, 1 storey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Single unit, 2 storey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Multiple unit, 2 storey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single unit, 3+ storey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Multiple unit, 3+ storey
        </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="V38" name="SL2004A_0027" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        Residence type
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Population type

[] 01 Household
[] 02 Educational
[] 03 Religious
[] 04 Medical
[] 05 Hotel
[] 06 Hostel
[] 07 Prison
[] 08 Barracks
[] 09 Orphanage/reformatory
[] 10 Refugee camp
[] 11 Other institution
[] 12 Homeless
[] 13 Floating population]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Identification particulars top of the questionnaire

i. If an institution, write the name of the institution (e.g. Pademba Road Prisons).

ii. Enter the province code provided on your EA map. For example, Eastern Province is "1".

iii. Enter the district code refer to the code list -- P11 and P12. The second digit is the code for the district (e.g. Kailahun is code "1", Kenema is code "2", etc.)

iv. Enter the Local Council Area code (refer to the code list). The third digit is the code for Local Council Area

v. Enter the chiefdom/ward/town council Area code refer to the code list -- P11 and P12. The last two digits give the code (e.g. Samu in Kambia is code "06", West 3 in Western Urban is code "08", etc.)

vi. Enter the Section code provided on your EA map

vii. Enter the EA number provided on your EA map

viii. Write the locality name and street address

ix. Enter the code for structure type (refer to code list)

x. Record the structure number -- the first structure you enumerate is "001", the second is "002", the third is "003" and so on upwards to the last. All households within the same structure will have the same structure number.

[p.11]

xi. Record the household number -- the first household you enumerate will be "001", the second is "002", the third is "003" and so on upwards to the last.
To ensure that you properly record the structure number and household number correctly in a serial manner, always check the number you gave to the last structure and household enumerated.

xii. Enter the code for population type, refer to the code list (e.g. household is code "01", medical is code "04", etc.)]]>
        </ivuInstr>
      </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 type of residence of the household, i.e. whether it is a normal household or other type of residential institution.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Educational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Medical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Hotel/Hostel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Orphanage/reformatory/barracks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Homeless, refugee camp, floating population
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="SL2004A_0028" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="137" width="2" RecSegNo="1"/>
      <labl>
        Number of persons
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Household size


_ _ Males
_ _ Females
_ _ Total]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="72"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of persons living in the household.
      </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>
      <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>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </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>
          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>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="SL2004A_0029" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Current repair needs of dwelling unit
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H01. What are the current repair needs of the dwelling unit?

[] 1 No repairs
[] 2 Minor repairs
[] 3 Rehabilitation
[] 4 Reconstruction]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H01 - Current status of dwelling unit
164. You are required by this question to record the current status of the dwelling. The dwelling unit refers to that part of the structure occupied by the household. For example, if a household occupies part of an "Adjoining" [structure], that part occupied by the household is a dwelling unit. If one household occupies the whole structure, it is one dwelling unit. Recording the status of the dwelling structure can be done by observation but you must rely on the response of the household head. Note that only one option is allowed. Use the drawings in Annex as a guide.




Section 2: Housing facilities




H01 What is the current status of the dwelling unit?

[] 1 No repairs
[] 2 Minor repairs
[] 3 Rehabilitation
[] 4 Reconstruction]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the self-reported current repair needs of the dwelling unit where the household resides.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No repairs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Minor repairs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rehabilitation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reconstruction
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="SL2004A_0030" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="140" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H02. How many rooms does the household occupy? _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H02 - Number of rooms occupied
165. This does not include the kitchen, for example. It includes sleeping rooms and the sitting room parlour).




Section 2: Housing facilities




H02 How many rooms does the household occupy?

_________________]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="15"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of rooms that the household occupies.
      </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>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="SL2004A_0031" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="141" width="1" RecSegNo="1"/>
      <labl>
        Number of beds with impregnated mosquito nets
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H03. How many beds with mosquito nets?

[] A Impregnated _ _

[] B Regular _ _

[] C None _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H03 - Beds with mosquito nets
166. Find out how many beds in the household have mosquito nets.
Ask: "How many beds have impregnated mosquito nets?" Record the answer as given, using two digits.

167. Ask: "How many beds have regular mosquito nets?" Record the answer as given, using two digits.




Section 2: Housing facilities




H03 How many beds with mosquito nets?

[] A Impregnated _ _
[] B Regular _ _
[] C None _ _]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates how many beds in the household have impregnated mosquito nets.
      </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>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="SL2004A_0032" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="143" width="2" RecSegNo="1"/>
      <labl>
        Number of beds with regular mosquito nets
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H03. How many beds with mosquito nets?

[] A Impregnated _ _

[] B Regular _ _

[] C None _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H03 - Beds with mosquito nets
166. Find out how many beds in the household have mosquito nets.
Ask: "How many beds have impregnated mosquito nets?" Record the answer as given, using two digits.

167. Ask: "How many beds have regular mosquito nets?" Record the answer as given, using two digits.




Section 2: Housing facilities




H03 How many beds with mosquito nets?

[] A Impregnated _ _
[] B Regular _ _
[] C None _ _]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates how many beds in the household have regular (non-impregnated) mosquito nets.
      </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>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="SL2004A_0033" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="145" width="2" RecSegNo="1"/>
      <labl>
        Number of beds with no mosquito nets
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H03. How many beds with mosquito nets?

[] A Impregnated _ _

[] B Regular _ _

[] C None _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H03 - Beds with mosquito nets
166. Find out how many beds in the household have mosquito nets.
Ask: "How many beds have impregnated mosquito nets?" Record the answer as given, using two digits.

167. Ask: "How many beds have regular mosquito nets?" Record the answer as given, using two digits.




Section 2: Housing facilities




H03 How many beds with mosquito nets?

[] A Impregnated _ _
[] B Regular _ _
[] C None _ _]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="13"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates how many beds in the household do not have mosquito nets.
      </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>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="SL2004A_0034" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="147" width="2" RecSegNo="1"/>
      <labl>
        Tenure of the dwelling
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H04. How was this dwelling acquired?

Owner


[] 01 Purchased
[] 02 Constructed
[] 03 Inherited


Employer provided


[] 04 Government
[] 05 Private
[] 06 Parastatal
[] 07 Quasi-Government


Renting


[] 08 Government
[] 09 Housing corporation
[] 10 Private
[] 11 Parastatal
[] 12 Quasi-government


Other


[] 13 Squatter
[] 14 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H04 - How the dwelling was acquired
168. Ask how the dwelling was acquired and record the appropriate code provided in the code list.




Section 2: Housing facilities




H04 How was the dwelling acquired?

[] 01 Purchased
[] 02 Constructed
[] 03 Inherited
[] 04 Squatter
[] 05 Other (specify)

Employer provided:


[] 06 Government
[] 07 Private
[] 08 Parastatal
[] 09 Quasi-government


Renting:


[] 10 Government
[] 11 Housing corporation
[] 12 Private
[] 13 Parastatal
[] 14 Quasi-government]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="14"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the tenancy status in which the household occupies the dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Purchased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Constructed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Inherited
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Employer provided - government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Employer provided - private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Employer provided - parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Employer provided - quasi-government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Rented - government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Rented - housing corporation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Rented - private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Rented - parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Rented - quasi-government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Squatter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="SL2004A_0035" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="148" width="1" RecSegNo="1"/>
      <labl>
        Material of the roof
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Major material of construction of dwelling units





H05. Roof


[] 1 Concrete
[] 2 Asbestos
[] 3 Zinc
[] 4 Thatch
[] 5 Tarpaulin
[] 6 Tiles
[] 7 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




Columns H05 to H07 -- Materials of construction of dwelling units
169. You are required to record answers to H05 to H07 by observation. For example, having observed that the dwelling unit has zinc as the material of construction of the roof and cement as the material of construction of the wall and floor, there is absolutely no reason asking the respondents questions relating to them. Only

[p.22]

ask them in circumstances where you are not absolutely sure which material of construction a house is made of.

170. Record the answer to each of the columns (i.e. column H05 for "Roof", H06 for "Wall" and H07 for "Floor").




Section 2: Housing facilities




Major material of construction of dwelling units




H05 Roof

[] 1 Concrete
[] 2 Asbestos
[] 3 Zinc
[] 4 Thatch
[] 5 Tarpaulin
[] 6 Tiles
[] 7 Other]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicate the main material of construction for the roof of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Tarpaulin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="SL2004A_0036" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="149" EndPos="150" width="2" RecSegNo="1"/>
      <labl>
        Material of the wall
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Major material of construction of dwelling units





H06. Wall


[] 01 Stone
[] 02 Cement blocks
[] 03 Clay bricks
[] 04 Sandcrete
[] 05 Zinc
[] 06 Timber
[] 07 Mud bricks
[] 08 Poles/reed
[] 09 Tarpaulin
[] 10 Mud and wattle
[] 11 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




Columns H05 to H07 -- Materials of construction of dwelling units
169. You are required to record answers to H05 to H07 by observation. For example, having observed that the dwelling unit has zinc as the material of construction of the roof and cement as the material of construction of the wall and floor, there is absolutely no reason asking the respondents questions relating to them. Only

[p.22]

ask them in circumstances where you are not absolutely sure which material of construction a house is made of.

170. Record the answer to each of the columns (i.e. column H05 for "Roof", H06 for "Wall" and H07 for "Floor").




Section 2: Housing facilities




Major material of construction of dwelling units




H06 Wall

[] 01 Stone
[] 02 Cement blocks
[] 03 Clay bricks
[] 04 Sandcrete
[] 05 Zinc
[] 06 Timber
[] 07 Mud bricks
[] 08 Poles/reed
[] 09 Tarpaulin
[] 10 Mud and wattle
[] 11 Other (specify)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicate the main material of construction for the walls of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Clay bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sandcrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Mud bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Poles/reed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Tarpaulin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mud and wattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="SL2004A_0037" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="151" EndPos="151" width="1" RecSegNo="1"/>
      <labl>
        Material of the floor
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Major material of construction of dwelling units





H07. Floor


[] 1 Stone
[] 2 Tiles
[] 3 Cement
[] 4 Wood
[] 5 Mud
[] 6 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




Columns H05 to H07 -- Materials of construction of dwelling units
169. You are required to record answers to H05 to H07 by observation. For example, having observed that the dwelling unit has zinc as the material of construction of the roof and cement as the material of construction of the wall and floor, there is absolutely no reason asking the respondents questions relating to them. Only

[p.22]

ask them in circumstances where you are not absolutely sure which material of construction a house is made of.

170. Record the answer to each of the columns (i.e. column H05 for "Roof", H06 for "Wall" and H07 for "Floor").




Section 2: Housing facilities




Major material of construction of dwelling units




H07 Floor

[] 1 Stone
[] 2 Tiles
[] 3 Cement
[] 4 Wood
[] 5 Mud
[] 6 Other]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicate the main material of construction for the floor of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="SL2004A_0038" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="152" width="1" RecSegNo="1"/>
      <labl>
        Type of trash disposal
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H08. How do you dispose of rubbish?

[] 1 Collected
[] 2 Dumped anywhere
[] 3 Burnt
[] 4 Buried
[] 5 Deposited in bin
[] 6 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H08 -- Disposal of household refuse
171. Ask: "How do you dispose of household refuse?" Record only one code from the list provided (i.e. the code of the most commonly used method).




Section 2: Housing facilities




H08 How do you dispose of rubbish?

[] 1 Collected
[] 2 Dumped anywhere
[] 3 Burnt
[] 4 Buried
[] 5 Deposited in bin
[] 6 Other]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the method by which the houeshold disposes of its trash.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Collected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Dumped anywhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Burnt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Buried
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Deposited in bin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="SL2004A_0039" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="153" width="1" RecSegNo="1"/>
      <labl>
        Fuel for cooking
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H09. What is your principal source of fuel supply for cooking?

[] 1 Electricity
[] 2 Gas
[] 3 Kerosene
[] 4 Charcoal
[] 5 Wood
[] 6 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H09 -- Principal source of fuel supply for cooking
172. Some households have more than one source of fuel supply for cooking. A household may use kerosene, charcoal and wood interchangeably depending on the circumstance and the occasion while another household may use electricity, gas or kerosene, also depending on the circumstance. In each of these cases, you must find out which of the fuels is most frequently used by the household and when that is established, record the appropriate code.




Section 2: Housing facilities




H09 What is your principal source of fuel supply for cooking?

[] 1 Electricity
[] 2 Gas
[] 3 Kerosene
[] 4 Charcoal
[] 5 Wood
[] 6 Other]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the principal 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>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="SL2004A_0040" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="154" EndPos="154" width="1" RecSegNo="1"/>
      <labl>
        Source of lighting
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H10. What is your principal source for lighting?

[] 1 NPA/BKPS [Electricity]
[] 2 Gas
[] 3 Kerosene
[] 4 Generator
[] 5 Battery/rechargeable light
[] 6 Candle
[] 7 Wood
[] 8 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H10 -- Principal source for lighting
173. Similarly, households usually have more than one source for lighting. In some urban settings, electricity could be one source supplemented by either kerosene or candles. In rural settings, it is kerosene, candles or wood. In each of these cases, therefore, you must find out which of the sources households use most of the time for lighting and record the appropriate code.




Section 2: Housing facilities




H10 What is your principal source for lighting?

[] 1 NPA/BKPS
[] 2 Gas
[] 3 Kerosene
[] 4 Generator
[] 5 Battery/rechargeable light
[] 6 Candle
[] 7 Wood
[] 8 Other]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the principal source of lighting for 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>
          Generator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Battery/rechargeable light
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Candle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="SL2004A_0041" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="155" EndPos="156" width="2" RecSegNo="1"/>
      <labl>
        Source of water supply for drinking
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H11. What is your principal source of water supply for drinking?

[] 1 Piped indoors
[] 2 Piped in compound
[] 3 Public tap
[] 4 Protected ordinary well
[] 5 Unprotected ordinary well
[] 6 Mechanical well
[] 7 River/riverbed/stream
[] 8 Neighbor's tap
[] 9 Water vendor/bowser
[] 0 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H11 -- Principal source of water supply for drinking
174. Some households rely on more than one source of water supply for drinking. In a case like this, find out which of the sources they get their supply from most of the time. It is that source which is the principal source that should be recorded. For example, if a household has piped water in the house or compound and also has a well ordinary or mechanical) find out from which of the two sources they get most of their drinking supply from. Record the appropriate code from the list.




Section 2: Housing facilities




H11 What is your principal source of water supply for drinking?

[] 01 Piped indoors
[] 02 Piped in compound
[] 03 Public tap
[] 04 Protected ordinary well
[] 05 Unprotected ordinary well
[] 06 Mechanical well
[] 07 River / riverbed / stream
[] 08 Neighbour's tap
[] 09 Water vendor / bowser
[] 10 Other (specify)]]>
        </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 principal source from where the household obtains its drinking water supply.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped indoors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Piped in compound
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Public tap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Protected ordinary well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unprotected ordinary well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Mechanical well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          River/riverbed/stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Neighbour's tap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Water vendor/bowser
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="SL2004A_0042" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="157" width="1" RecSegNo="1"/>
      <labl>
        Type of toilet facility
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What kind of facilities do you have for:





H12. Toilet


Communal


[] 11 VIP
[] 12 Flushed inside
[] 13 Flushed outside
[] 14 Pit
[] 15 Bucket
[] 16 Bush/river bed
[] 17 Other (specify) ____


Private


[] 21 VIP
[] 22 Flushed inside
[] 23 Flushed outside
[] 24 Pit
[] 25 Bucket
[] 26 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H12 -- Toilet facilities
175. There are instances where several households share the same toilet facility and in this case, the toilet facility is used in a communal way. Where only one household uses the toilet facility, we say it is private.

176. Ask, 'What kind of toilet facility do you have'? If the answer is "Pit latrine", you also want to find out if exclusively his/her household uses the pit latrine. If the answer to the question is "Yes", then the toilet facility is 10, but if the answer

[p.23]

indicates that other households share the facility, you record it as 04. Refer to the code list).

177. Some communities use the bush/riverbed. Here, the use of the bush or riverbed is communal and therefore should be recorded as 06. Only one code is allowed.




Section 2: Housing facilities




What kind of facilities do you have for:




H12 Toilet

Communal:


[] 11 VIP
[] 12 Flushed, inside
[] 13 Flushed, outside
[] 14 Pit
[] 15 Bucket
[] 16 Bush / river bed
[] 17 Other (specify)


Private:

[] 21 VIP
[] 22 Flushed, inside
[] 23 Flushed, outside
[] 24 Pit
[] 25 Bucket
[] 26 Other (specify)]]>
        </ivuInstr>
      </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 type of toilet facility that the household uses.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ventilated Improved Pit (VIP)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Flush, inside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Flush, outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bucket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Bush/riverbed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="SL2004A_0043" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="158" EndPos="158" width="1" RecSegNo="1"/>
      <labl>
        Location of bathing facilities
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What kind of facilities do you have for:





H13. Bathing


[] 1 Inside
[] 2 Outside; built
[] 3 Outside makeshift
[] 4 Other (specify) ____
[] 5 None]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H13 -- Facility for bathing
178. Ask: "What is the household's main facility for bathing?" Record the appropriate code from the list.




Section 2: Housing facilities




What kind of facilities do you have for:




H13 Bathing

[] 1 Inside
[] 2 Outside, built
[] 3 Outside, makeshift
[] 4 Other (specify)
[] 5 None]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the location of bathing facilities that the household uses.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Inside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Outside, built
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Outside, makeshift
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="SL2004A_0044" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="159" width="1" RecSegNo="1"/>
      <labl>
        Main source of information
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H14. What is the main source of information for the household?

[] 1 Radio
[] 2 Television
[] 3 Print media
[] 4 Post mail
[] 5 Hand mail
[] 6 Word of mouth
[] 7 Church/mosque
[] 8 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

H14 -- Main source of information
179. Ask: "What is the household's main source of information?" Different members of the household may have different sources of information, but only one response is required for the household as a whole. Therefore probe and elicit information about the main source the household relies on for information, and record the appropriate code provided in the code list. Only one code is required. Note that we are not interested in the ownership of the medium.




H14 What is the household main source of information?

[] 1 Radio
[] 2 Television
[] 3 Print media
[] 4 Post mail
[] 5 Hand mail
[] 6 Word of mouth
[] 7 Church / mosque
[] 8 Other (specify)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main source that the household relies on for obtaining information.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Radio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Television
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Print media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post mail
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Hand mail
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Word of mouth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Church/mosque
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="SL2004A_0045" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="160" EndPos="160" width="1" RecSegNo="1"/>
      <labl>
        Distance to nearest health facility
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the distance from home to the nearest





H15. Health facility


[] 1 On premises
[] 2 Less than half mile
[] 3 Half mile and less than 1 mile
[] 4 One mile and less than five miles
[] 5 Five miles and above]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H15 - H17 Distance from home to the nearest facility




H15 -- Health facility
180. Ask: "What is the distance from your house to the nearest health facility?" A health facility in this case is a 'Modern Facility' like a clinic, a health centre, a dispensary, a hospital, etc., and not an alpha-man [marabou spiritual advisor], or herbalist, or spiritualist, or drug peddler, etc. You may have to ask for the location of the facility in certain cases in order to visualize the distance and get as accurate an answer as possible. Record the appropriate code provided in the column H15.




Section 2: Housing facilities




What is the distance from home to the nearest:




H15 Health facility

[] 1 On premises
[] 2 Less than 1/2 mile
[] 3 1/2 mile and less than 1 mile
[] 4 1 mile and less than 5 miles
[] 5 5 miles and above]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the distance from the dwelling to the nearest modern health facility.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than half a mile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Between half a mile and less than one mile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Between one mile and less than five miles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Five miles or more
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="SL2004A_0046" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="161" width="1" RecSegNo="1"/>
      <labl>
        Distance to nearest primary school
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the distance from home to the nearest





H16. Primary school


[] 1 On premises
[] 2 Less than half mile
[] 3 Half mile and less than one mile
[] 4 One mile and less than five miles
[] 5 Five miles and above]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H15 - H17 Distance from home to the nearest facility




H16 -- Primary school
181. Ask: "What is the distance from your house to the nearest primary school?" You may have to ask for the location of the school in certain cases in order to visualize the distance and get as accurate an answer as possible. Record the appropriate code provided in the column H16.




Section 2: Housing facilities




What is the distance from home to the nearest:




H16 Primary school

[] 1 On premises
[] 2 Less than 1/2 mile
[] 3 1/2 mile and less than 1 mile
[] 4 1 mile and less than 5 miles
[] 5 5 miles and above]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the distance from the dwelling to the nearest primary school.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than half a mile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Between half a mile and less than one mile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Between one mile and less than five miles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Five miles or more
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="SL2004A_0047" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="162" EndPos="162" width="1" RecSegNo="1"/>
      <labl>
        Distance to nearest source of water
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the distance from home to the nearest





H17. Source of water


[] 1 On premises
[] 2 Less than half mile
[] 3 Half mile and less than one mile
[] 4 One mile and less than five miles
[] 5 Five miles and above]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 2 - Housing facilities




H15 - H17 Distance from home to the nearest facility




H17 -- Source of water
182. Ask: "What is the distance from your house to the nearest source of water?" You may have to ask for the location of the source in certain cases in order to visualize the distance and get as accurate an answer as possible. Record the appropriate code provided in the column H17.




Section 2: Housing facilities




What is the distance from home to the nearest:



H17 Source of water

[] 1 On premises
[] 2 Less than 1/2 mile
[] 3 1/2 mile and less than 1 mile
[] 4 1 mile and less than 5 miles
[] 5 5 miles and above]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the distance from the dwelling to the nearest source of water.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than half a mile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Between half a mile and less than one mile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Between one mile and less than five miles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Five miles or more
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="SL2004A_0048" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="163" width="1" RecSegNo="1"/>
      <labl>
        Electric iron
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





01. Electric iron


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns an electric iron.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="SL2004A_0049" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="164" EndPos="164" width="1" RecSegNo="1"/>
      <labl>
        Refrigerator
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





02. Refrigerator


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a refrigerator.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="SL2004A_0050" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="165" width="1" RecSegNo="1"/>
      <labl>
        Television
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





03. Television


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a television.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="SL2004A_0051" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="166" EndPos="166" width="1" RecSegNo="1"/>
      <labl>
        Computer
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





04. Computer


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a computer.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="SL2004A_0052" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="167" EndPos="167" width="1" RecSegNo="1"/>
      <labl>
        Radio
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





05. Radio


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a radio.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="SL2004A_0053" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="168" EndPos="168" width="1" RecSegNo="1"/>
      <labl>
        Telephone
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





06. Telephone


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a telephone.
      </txt>
      <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="V65" name="SL2004A_0054" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="169" width="1" RecSegNo="1"/>
      <labl>
        Cell phone
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





07. Cell phone


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a cell phone.
      </txt>
      <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="V66" name="SL2004A_0055" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="170" EndPos="170" width="1" RecSegNo="1"/>
      <labl>
        Modern stove
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





08. Modern stove


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a modern stove.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="SL2004A_0056" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="171" width="1" RecSegNo="1"/>
      <labl>
        Bicycle
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





09. Bicycle


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a bicycle.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="SL2004A_0057" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="172" width="1" RecSegNo="1"/>
      <labl>
        Motorcycle
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





10. Motor cycle


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a motorcycle.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="SL2004A_0058" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="173" EndPos="173" width="1" RecSegNo="1"/>
      <labl>
        Car/truck
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Does the household own any of the following (include items only if they are in working condition):





11. Car/truck


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 4 -- Ownership
Columns O1 - O11
188. For each item, ask if any household member owns it. If the item is owned, write "1". If the item is not owned, record "2".




Section 4: Ownership
Does the household own any of the following include items only if they are in working condition)

O1 Electric iron
O2 Refrigerator
O3 Television
O4 Computer
O5 Radio
O6 Telephone
O7 Cell phone
O8 Modern stove
O9 Bicycle
O10 Motor cycle
O11 Car / truck]]>
        </ivuInstr>
      </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 whether the household owns a car or truck.
      </txt>
      <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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="SL2004A_0060" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="175" width="2" RecSegNo="1"/>
      <labl>
        Number of acres of upland rice
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of upland rice grown by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="SL2004A_0061" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="176" EndPos="177" width="2" RecSegNo="1"/>
      <labl>
        Number of acres of lowland rice
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of lowland rice grown by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="SL2004A_0062" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="178" EndPos="178" width="1" RecSegNo="1"/>
      <labl>
        Number of acres of cassava
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of cassava grown by 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>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="SL2004A_0063" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="180" width="2" RecSegNo="1"/>
      <labl>
        Number of acres of sweet potato
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of sweet potato grown by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="SL2004A_0064" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="181" width="1" RecSegNo="1"/>
      <labl>
        Number of acres of groundnuts
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of groundnuts grown by 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>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="SL2004A_0065" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="182" EndPos="183" width="2" RecSegNo="1"/>
      <labl>
        Number of acres of maize
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of maize grown by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="SL2004A_0066" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="184" EndPos="185" width="2" RecSegNo="1"/>
      <labl>
        Number of acres of coffee
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of coffee grown by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="SL2004A_0067" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="187" width="2" RecSegNo="1"/>
      <labl>
        Number of acres of cacao
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of cacao grown by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="SL2004A_0068" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="188" EndPos="188" width="1" RecSegNo="1"/>
      <labl>
        Number of acres of oil palm
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of oil palm grown by 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>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="SL2004A_0069" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="189" width="1" RecSegNo="1"/>
      <labl>
        Number of acres of citrus fruits
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of citrus fruits grown by 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>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="SL2004A_0070" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="190" EndPos="190" width="1" RecSegNo="1"/>
      <labl>
        Number of acres of vegetables
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What are the major agricultural activities undertaken [and the acreage covered] by the household?

A1 and A2: Crop acreage

[] 01 Upland rice ____
[] 02 Lowland rice ____
[] 03 Cassava ____
[] 04 Sweet potato ____
[] 05 Groundnut ____
[] 06 Maize ____
[] 07 Coffee ____
[] 08 Cacao ____
[] 09 Oil palm ____
[] 10 Citrus ____
[] 11 Vegetables ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A1 - A2 Major agricultural activities
183. If any of the crops listed is grown, ask for the acreage covered and record the answer as given using three digits) against the crop. For those not grown, record "000".




Section 3 -- Agricultural module




A1-A2 What are the major agricultural activities undertaken by the household?

[] 01 Upland rice, acreage _______
[] 02 Lowland rice, acreage _______
[] 03 Cassava, acreage _______
[] 04 Sweet potato, acreage _______
[] 05 Groundnut, acreage _______
[] 06 Maize, acreage _______
[] 07 Coffee, acreage _______
[] 08 Cacao, acreage _______
[] 09 Oil palm, acreage _______
[] 10 Citrus, acreage _______
[] 11 Vegetables, acreage _______]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of acres of vegetables grown by 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>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="SL2004A_0071" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="191" EndPos="191" width="1" RecSegNo="1"/>
      <labl>
        Number of cattle owned
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the number of livestock owned by [the household]?

A3. Cattle _ _
A4. Sheep _ _
A5. Goat _ _
A6. Pigs _ _
A7. Chicken _ _
A8. Duck _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A3 - A8 Number of livestock owned

184. For each of A3 to A8, ask for the total number of the livestock owned by the household members and record as given using three digits. If none are owned, write "000". If 15 are owned, write "015". If 120, write "120".

185. Do not leave any column blank.




Section 3 -- Agricultural module




What is the number of livestock owned by household members?

A3 Cattle ____
A4 Sheep ____
A5 Goat ____
A6 Pigs ____
A7 Chicken ____
A8 Duck ____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of cattle owned by 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>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="SL2004A_0072" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="192" EndPos="193" width="2" RecSegNo="1"/>
      <labl>
        Number of sheep owned
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the number of livestock owned by [the household]?

A3. Cattle _ _
A4. Sheep _ _
A5. Goat _ _
A6. Pigs _ _
A7. Chicken _ _
A8. Duck _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A3 - A8 Number of livestock owned

184. For each of A3 to A8, ask for the total number of the livestock owned by the household members and record as given using three digits. If none are owned, write "000". If 15 are owned, write "015". If 120, write "120".

185. Do not leave any column blank.




Section 3 -- Agricultural module




What is the number of livestock owned by household members?

A3 Cattle ____
A4 Sheep ____
A5 Goat ____
A6 Pigs ____
A7 Chicken ____
A8 Duck ____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of sheep owned by 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>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V83" name="SL2004A_0073" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="194" EndPos="194" width="1" RecSegNo="1"/>
      <labl>
        Number of goats owned
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the number of livestock owned by [the household]?

A3. Cattle _ _
A4. Sheep _ _
A5. Goat _ _
A6. Pigs _ _
A7. Chicken _ _
A8. Duck _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A3 - A8 Number of livestock owned

184. For each of A3 to A8, ask for the total number of the livestock owned by the household members and record as given using three digits. If none are owned, write "000". If 15 are owned, write "015". If 120, write "120".

185. Do not leave any column blank.




Section 3 -- Agricultural module




What is the number of livestock owned by household members?

A3 Cattle ____
A4 Sheep ____
A5 Goat ____
A6 Pigs ____
A7 Chicken ____
A8 Duck ____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of goats owned by 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>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="SL2004A_0074" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="195" EndPos="196" width="2" RecSegNo="1"/>
      <labl>
        Number of pigs owned
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the number of livestock owned by [the household]?

A3. Cattle _ _
A4. Sheep _ _
A5. Goat _ _
A6. Pigs _ _
A7. Chicken _ _
A8. Duck _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A3 - A8 Number of livestock owned

184. For each of A3 to A8, ask for the total number of the livestock owned by the household members and record as given using three digits. If none are owned, write "000". If 15 are owned, write "015". If 120, write "120".

185. Do not leave any column blank.




Section 3 -- Agricultural module




What is the number of livestock owned by household members?

A3 Cattle ____
A4 Sheep ____
A5 Goat ____
A6 Pigs ____
A7 Chicken ____
A8 Duck ____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of pigs owned by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="SL2004A_0075" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="197" EndPos="198" width="2" RecSegNo="1"/>
      <labl>
        Number of chickens owned
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the number of livestock owned by [the household]?

A3. Cattle _ _
A4. Sheep _ _
A5. Goat _ _
A6. Pigs _ _
A7. Chicken _ _
A8. Duck _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A3 - A8 Number of livestock owned

184. For each of A3 to A8, ask for the total number of the livestock owned by the household members and record as given using three digits. If none are owned, write "000". If 15 are owned, write "015". If 120, write "120".

185. Do not leave any column blank.




Section 3 -- Agricultural module




What is the number of livestock owned by household members?

A3 Cattle ____
A4 Sheep ____
A5 Goat ____
A6 Pigs ____
A7 Chicken ____
A8 Duck ____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of chickens owned by 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>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="SL2004A_0076" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="199" EndPos="199" width="1" RecSegNo="1"/>
      <labl>
        Number of ducks owned
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

What is the number of livestock owned by [the household]?

A3. Cattle _ _
A4. Sheep _ _
A5. Goat _ _
A6. Pigs _ _
A7. Chicken _ _
A8. Duck _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A3 - A8 Number of livestock owned

184. For each of A3 to A8, ask for the total number of the livestock owned by the household members and record as given using three digits. If none are owned, write "000". If 15 are owned, write "015". If 120, write "120".

185. Do not leave any column blank.




Section 3 -- Agricultural module




What is the number of livestock owned by household members?

A3 Cattle ____
A4 Sheep ____
A5 Goat ____
A6 Pigs ____
A7 Chicken ____
A8 Duck ____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of ducks owned by the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="SL2004A_0077" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="200" EndPos="200" width="1" RecSegNo="1"/>
      <labl>
        Access to tractors
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A9. Tractors


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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 whether the household has access to tractors.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="SL2004A_0078" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="201" EndPos="201" width="1" RecSegNo="1"/>
      <labl>
        Access to power tillers
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A10. Power tillers


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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 whether the household has access to power tillers.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="SL2004A_0079" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="202" width="1" RecSegNo="1"/>
      <labl>
        Access to threshers
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A11. Threshers


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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>
        Access to threshers.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="SL2004A_0080" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="203" width="1" RecSegNo="1"/>
      <labl>
        Access to rice mills
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A12. Rice mills


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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 whether the household has access to threshers.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="SL2004A_0081" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="204" EndPos="204" width="1" RecSegNo="1"/>
      <labl>
        Access to storage facilities
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A13. Stores


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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 whether the household has access to food storage facilities.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="SL2004A_0082" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="205" EndPos="205" width="1" RecSegNo="1"/>
      <labl>
        Access to drying floors
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A14. Drying floors


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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 whether the household has access to drying floors.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="SL2004A_0083" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="206" EndPos="206" width="1" RecSegNo="1"/>
      <labl>
        Access to cassava graters
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Do household members have access to agricultural facilities:





A15. Cassava grater


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 3 -- Agricultural module




A9 - A16 Access to agricultural facilities
186. These questions are asking about access to the facilities AND NOT numbers. Ask: "Do household members have access to [the facility]?", taking each facility in turn.

187 The answer is either 1 for "Yes", or 2 for "No".




Section 3 -- Agricultural module




Do household members have access to agricultural faculties?

A9 Tractors
A10 Power tillers
A11 Threshers
A12 Rice mills
A13 Stores
A14 Drying floor
A15 Cassava grater
A16 Oil Palm pressers]]>
        </ivuInstr>
      </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 whether the household has access to cassava graters.
      </txt>
      <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">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="SL2004A_0085" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="207" EndPos="207" width="1" RecSegNo="1"/>
      <labl>
        Number of deaths in last 12 months
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
D1. Did a death occur in this household in the last 12 months?

[] 1 Yes (answer questions D2, D3, D4 and D5)
[] 2 No
[] 3 Don't know]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Section 5 -- Deaths in the household


189. Questions D1 to D5 are asking about deaths of a usual member of the household, which took place in the 12 months prior to the Census night, i.e. those that occurred after 4th December, 2003. This is irrespective of whether the person died in that household, in another household or in a health institution. Include children who died when they were very young but exclude stillbirths.


D1 - Occurrence of death in the last 12 months
190. Ask: "Did a usual household member die in the last 12 months?" Record the appropriate code in the box provided. If a death occurred in the household, record "1" in the box, and then ask [questions] D2, D3, D4 and D5.

[p.25]

191. If nobody died in the household, record "2", end the interview and check your work properly, particularly to ensure that all questions have been asked and answers recorded.

192. If the answer is "Don't know", record "3", end the interview and check your work properly, particularly to ensure that all questions have been asked and answers recorded.

193. It is important that you know that the question you are asking the person is very sensitive. You should know how to handle the person who has lost somebody by sympathizing with him or her and at the same time informing him or her that the information you are collecting is necessary for the census.


D2 -- Name of deceased
194. Ask for and record the names of the deceased persons in the space provided.

195. In cases where babies die before they are given a name, record as "Baby boy" or "Baby girl".



Section 5: Deaths in the household

D1 Did a death occur in this household in the last 12 months?

[] 1 Yes answer questions D2, D3, D4, and D5)
[] 2 No
[] 3 Don't know]]>
        </ivuInstr>
      </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 members in the household that died in the past 12 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>
          5
        </catValu>
        <labl>
          5+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="SL2004A_0086" files="F1" dcml="0" intrvl="contin">
      <location StartPos="208" EndPos="211" width="4" RecSegNo="1"/>
      <labl>
        Strata
      </labl>
      <qstn>
        <qstnLit>
          Strata
        </qstnLit>
      </qstn>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.
      </txt>
      <codInstr>
        This is a 4-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Geography: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="HHWT" files="F1" dcml="2" intrvl="contin">
      <location StartPos="31" EndPos="38" width="8" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHWT 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), HHWT must be used to yield accurate household-level statistics.

NOTE: HHWT 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>
        HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="GEO1_SL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Sierra Leone, District 2004 [Level 1; consistent boundaries, GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="694011" max="694042"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1_SL identifies the household's district within Sierra Leone in 2004. Districts are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_SL can be downloaded from the GIS Boundary files page in the IPUMS International web site.

The full set of geography variables for Sierra Leone can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.

At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for Sierra Leone. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography will become available in the near future.]]>
      </txt>
      <catgry>
        <catValu>
          694011
        </catValu>
        <labl>
          Kailahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694012
        </catValu>
        <labl>
          Kenema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694013
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694021
        </catValu>
        <labl>
          Bombali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694022
        </catValu>
        <labl>
          Kambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694023
        </catValu>
        <labl>
          Koinadugu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694024
        </catValu>
        <labl>
          Port Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694025
        </catValu>
        <labl>
          Tonkolili
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694031
        </catValu>
        <labl>
          Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694032
        </catValu>
        <labl>
          Bonthe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694033
        </catValu>
        <labl>
          Moyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694034
        </catValu>
        <labl>
          Pujehun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694041
        </catValu>
        <labl>
          Western - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694042
        </catValu>
        <labl>
          Western - urban
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="GEO2_SLX" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="74" width="4" RecSegNo="1"/>
      <labl>
        Sierra Leone, Chiefdom/ward 2004 [Level 2; inconsistent boundaries, harmonized by name]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1102" max="4208"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO2_SLX identifies the chiefdom/ward within Sierra Leone in 2004. Chiefdoms/wards are the second level administrative units of the country, after districts. GEO2_SLX is harmonized by name and does not account for boundary changes over time.

The full set of geography variables for Sierra Leone can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.

At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for Sierra Leone. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography will become available in the near future.]]>
      </txt>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Jawie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Kissi Teng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Kissi Tongi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1108
        </catValu>
        <labl>
          Luawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1109
        </catValu>
        <labl>
          Malema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1111
        </catValu>
        <labl>
          Njaluahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1113
        </catValu>
        <labl>
          Upper Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1199
        </catValu>
        <labl>
          Chiefdom/ward in Kailahun district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Dama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Gorama Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Kandu Lekpeama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          Lower Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Nongowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Small Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          Tunkia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1291
        </catValu>
        <labl>
          Kenema Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1299
        </catValu>
        <labl>
          Chiefdom/ward in Kenema district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Gbense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Nimikoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Nimiyama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Sandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Koidu Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1399
        </catValu>
        <labl>
          Chiefdom/ward in Kono district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Biriwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Bombali Sebora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Gbanti-Kamaranka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Gbendembu Ngowahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari Gbanti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Safroko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Sanda Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Sella Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Makeni Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2199
        </catValu>
        <labl>
          Chiefdom/ward in Bombali district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Magbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Mambolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Masungbala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Samu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Tonko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2299
        </catValu>
        <labl>
          Chiefdom/ward in Kambia district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Mongo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Neya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Nieni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Sengbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Wara Wara Bafodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wara Wara Yagala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2399
        </catValu>
        <labl>
          Chiefdom/ward in Koinadugu district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          BKM [Bureh Kaseh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buya Romende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Kaffu Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Koya [Port Loko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Lokomasama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Maforki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Marampa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Masimera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          TMS [T.M. Safroko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2499
        </catValu>
        <labl>
          Chiefdom/ward in Port Loko district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Gbonkolenken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Kholifa Rowalla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Kunike Sanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Sambaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Tane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Yoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2599
        </catValu>
        <labl>
          Chiefdom/ward in Tonkolili district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Bagbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3104
        </catValu>
        <labl>
          Baoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3105
        </catValu>
        <labl>
          Bumpe Ngawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3107
        </catValu>
        <labl>
          Jaiama-Bongor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3108
        </catValu>
        <labl>
          Kakua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Lugbu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Tikonko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Bo Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3199
        </catValu>
        <labl>
          Chiefdom/ward in Bo district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Jong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3299
        </catValu>
        <labl>
          Chiefdom/ward in Bonthe district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Bumpeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Fakunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Kagboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Kaiyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Lower Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Ribbi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3399
        </catValu>
        <labl>
          Chiefdom/ward in Moyamba district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Barri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Gallinasperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Kpanga-Kabonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Makpele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Malen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Soro Gbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3499
        </catValu>
        <labl>
          Chiefdom/ward in Pujehun district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Waterloo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          York - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4199
        </catValu>
        <labl>
          Chiefdom/ward in Western-rural district under 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Western - urban - Central 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Western - urban - Central 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Western - urban - East 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Western - urban - East 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Western - urban - East 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Western - urban - West 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Western - urban - West 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4208
        </catValu>
        <labl>
          Western - urban - West 3
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: M-Z Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="NCOUPLES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="112" 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[NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.  

NCOUPLES 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="V100" name="NMOTHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="113" 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[NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.

NMOTHERS 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="V101" name="NFATHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="114" 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[NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.

NFATHERS 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="V102" name="COUNTRY" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="2" EndPos="4" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="32" max="894"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COUNTRY 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).]]>
      </txt>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyz Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </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>
          600
        </catValu>
        <labl>
          Paraguay
        </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 Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="ELECTRIC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="79" 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>
        ELECTRIC 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="V104" name="OWNERSHIP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" 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>
        OWNERSHIP 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">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="OWNERSHIPD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="78" 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>
        OWNERSHIP 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">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="FUELCOOK" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="83" 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>
        FUELCOOK 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="V107" name="COMPUTER" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="89" width="1" RecSegNo="1"/>
      <labl>
        Computer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        COMPUTER indicates whether the household had a personal computer.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="STRATA" files="F1" dcml="0" intrvl="contin">
      <location StartPos="41" EndPos="52" width="12" RecSegNo="1"/>
      <labl>
        Strata identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
      </txt>
      <codInstr>
        STRATA is a 12-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="PERNUM" files="F2" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="30" 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 Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="AGE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="73" 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="V111" name="SEX" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="76" 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="V112" name="BPLSL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="127" width="4" RecSegNo="1"/>
      <labl>
        Chiefdom of birth, Sierra Leone
      </labl>
      <valrng>
        <range UNITS="REAL" min="1101" max="9997"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLSL indicates the person's chiefdom or ward of birth within Sierra Leone.
      </txt>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Dea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Jawie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Kissi Kama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Kissi Teng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Kissi Tongi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1106
        </catValu>
        <labl>
          Kpeje Bongre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1107
        </catValu>
        <labl>
          Kpeje West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1108
        </catValu>
        <labl>
          Luawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1109
        </catValu>
        <labl>
          Malema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Mandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1111
        </catValu>
        <labl>
          Njaluahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Penguia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1113
        </catValu>
        <labl>
          Upper Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1114
        </catValu>
        <labl>
          Yawei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Dama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Dodo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Gaura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Gorama Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Kandu Lekpeama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Koya [Kenema]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          Langrama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          Lower Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Malegohun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Niawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Nongowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Simbaru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Small Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          Tunkia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1216
        </catValu>
        <labl>
          Wandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1291
        </catValu>
        <labl>
          Kenema Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Fiama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Gbane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Gbane Kandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Gbense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Gorama Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Kamara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Lei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Mafindor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Nimikoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Nimiyama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Sandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          Tankoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1314
        </catValu>
        <labl>
          Toli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Koidu Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Biriwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Bombali Sebora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Gbanti-Kamaranka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Gbendembu Ngowahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Libeisaygahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Magbaimba Ndorhahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari Gbanti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Paki Masabong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Safroko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Sanda Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Sanda Tenraran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Sella Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Tambakka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Makeni Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Bramaia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gbinle-Dixing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Magbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Mambolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Masungbala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Samu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Tonko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Dembelia Sinkunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Follosaba Dembelia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Kasunko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Mongo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Neya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Nieni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Sengbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2309
        </catValu>
        <labl>
          Sulima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Wara Wara Bafodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wara Wara Yagala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          BKM [Bureh Kaseh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buya Romende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Kaffu Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Koya [Port Loko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Lokomasama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Maforki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Marampa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Masimera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Sanda Magbolontor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          TMS [T.M. Safroko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Gbonkolenken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Kafe Simira
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Kalansogoia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Kholifa Mabang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Kholifa Rowalla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Kunike Barina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Kunike Sanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2508
        </catValu>
        <labl>
          Malal Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Sambaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Tane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Yoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Badjia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Bagbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3103
        </catValu>
        <labl>
          Bagbwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3104
        </catValu>
        <labl>
          Baoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3105
        </catValu>
        <labl>
          Bumpe Ngawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3106
        </catValu>
        <labl>
          Gbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3107
        </catValu>
        <labl>
          Jaiama-Bongor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3108
        </catValu>
        <labl>
          Kakua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3109
        </catValu>
        <labl>
          Komboya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Lugbu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Niawa Lenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          Selenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Tikonko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3114
        </catValu>
        <labl>
          Valunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3115
        </catValu>
        <labl>
          Wunde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Bo Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Bendu Cha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Dema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Imperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Jong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3206
        </catValu>
        <labl>
          Kpanda Kemo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Kwamebai Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3208
        </catValu>
        <labl>
          Nongoba Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3209
        </catValu>
        <labl>
          Sittia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Sogbini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Yawbeko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3291
        </catValu>
        <labl>
          Bonthe Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Bagruwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Bumpeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Dasse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Fakunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Kagboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Kaiyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3307
        </catValu>
        <labl>
          Kamajei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3308
        </catValu>
        <labl>
          Kongbora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Kowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Lower Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Ribbi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Timdale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Upper Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Barri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Gallinasperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Kpaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Kpanga-Kabonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Makpele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Malen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Mano Sakrim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Panga Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Pejeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Soro Gbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Sowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          YKK [Yekomo Kpukumu Krim]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Koya [Western - rural]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Mountain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Waterloo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          York - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Western - urban - Central 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Western - urban - Central 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Western - urban - East 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Western - urban - East 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Western - urban - East 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Western - urban - West 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Western - urban - West 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4208
        </catValu>
        <labl>
          Western - urban - West 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="CITIZEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" 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="V114" name="STEPPOP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" 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="V115" name="STEPMOM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" 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="V116" name="POLY2ND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" 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="V117" name="FAMUNIT" files="F2" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="57" 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="V118" name="FAMSIZE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="59" 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="V119" name="NCHILD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="60" 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="V120" name="NCHLT5" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" 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="V121" name="ELDCH" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="63" 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="V122" name="YNGCH" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="65" 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="V123" name="AGE2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="75" width="2" RecSegNo="1"/>
      <labl>
        Age, grouped into intervals
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE2 gives computed years of age grouped into intervals.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 to 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 to 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          15 to 17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          18 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          18 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          20 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          25 to 29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          30 to 34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          35 to 39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          40 to 44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          45 to 49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          50 to 54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          55 to 59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          60 to 64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          65 to 69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          70 to 74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          75 to 79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="CHBORNM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" 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="V125" name="CHBORNF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" 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="V126" name="CHDEAD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        Number of children dead
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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/missing
        </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="V127" name="MORTFAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="105" 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="V128" name="MORTMOT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="104" 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="V129" name="HOMEFEM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        Number of own female children in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HOMEFEM indicates the number of female children born living in the household with their mother (the respondent).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </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="V130" name="AWAYFEM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        Number of own female children living elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="CHSURV" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" 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="V132" name="LANGSL2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="138" width="2" RecSegNo="1"/>
      <labl>
        Second language spoken, Sierra Leone
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LANGSL2 indicates the secondary language spoken by the individual: the language apart from their mother tongue, if any, they can speak fluently.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Krio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Madingo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sherbro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kissi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Susu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Fullah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yalunka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Koranko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Vai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="LIT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="142" 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="V134" name="SCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="141" 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="V135" name="POPLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="44" 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="V136" name="SPLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="45" EndPos="47" 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="V137" name="SPRULE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="51" 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="V138" name="MOMLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="39" EndPos="41" 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="V139" name="POLYMAL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" 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="V140" name="PARRULE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="49" 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="V141" name="POLYGAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" 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="V142" name="RELATE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="66" 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="V143" name="RELATED" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="70" 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>
          2300
        </catValu>
        <labl>
          Same-sex spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Child
        </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>
          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>
          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="V144" name="MARST" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" 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[[program universe for et,mz samples.

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="V145" name="MARSTD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="80" 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[[program universe for et,mz samples.

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="V146" name="CHSURVF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="92" 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="V147" name="CHSURVM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="94" 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="V148" name="CHBORN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="84" 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="V149" name="EMPSTAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="151" EndPos="151" width="1" RecSegNo="1"/>
      <labl>
        Activity status (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="V150" name="EMPSTATD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="154" width="3" RecSegNo="1"/>
      <labl>
        Activity status (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="V151" 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="V152" 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="V153" name="DISMUTE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="176" EndPos="176" width="1" RecSegNo="1"/>
      <labl>
        Mute or speech impaired
      </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="V154" 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="V155" 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="V156" name="INDGEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="163" 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="V157" name="OCC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="157" EndPos="160" 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: SL2004A_0421]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="MIGSL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="172" width="4" RecSegNo="1"/>
      <labl>
        Chiefdom of residence in 1990, Sierra Leone
      </labl>
      <valrng>
        <range UNITS="REAL" min="1101" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MIGSL indicates the person's chiefdom of residence in 1990 within Sierra Leone.  The variable also includes information on foreign country of residence in 1990 for international migrants.]]>
      </txt>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Dea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Jawie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Kissi Kama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Kissi Teng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Kissi Tongi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1106
        </catValu>
        <labl>
          Kpeje Bongre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1107
        </catValu>
        <labl>
          Kpeje West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1108
        </catValu>
        <labl>
          Luawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1109
        </catValu>
        <labl>
          Malema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Mandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1111
        </catValu>
        <labl>
          Njaluahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Penguia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1113
        </catValu>
        <labl>
          Upper Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1114
        </catValu>
        <labl>
          Yawei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Dama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Dodo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Gaura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Gorama Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Kandu Lekpeama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Koya [Kenema]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          Langrama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          Lower Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Malegohun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Niawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Nongowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Simbaru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Small Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          Tunkia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1216
        </catValu>
        <labl>
          Wandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1291
        </catValu>
        <labl>
          Kenema Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Fiama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Gbane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Gbane Kandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Gbense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Gorama Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Kamara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Lei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Mafindor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Nimikoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Nimiyama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Sandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          Tankoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1314
        </catValu>
        <labl>
          Toli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Koidu Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Biriwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Bombali Sebora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Gbanti-Kamaranka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Gbendembu Ngowahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Libeisaygahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Magbaimba Ndorhahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari Gbanti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Paki Masabong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Safroko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Sanda Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Sanda Tenraran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Sella Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Tambakka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Makeni Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Bramaia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gbinle-Dixing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Magbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Mambolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Masungbala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Samu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Tonko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Dembelia Sinkunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Follosaba Dembelia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Kasunko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Mongo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Neya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Nieni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Sengbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2309
        </catValu>
        <labl>
          Sulima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Wara Wara Bafodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wara Wara Yagala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          BKM [Bureh Kaseh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buya Romende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Kaffu Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Koya [Port Loko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Lokomasama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Maforki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Marampa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Masimera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Sanda Magbolontor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          TMS [T.M. Safroko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Gbonkolenken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Kafe Simira
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Kalansogoia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Kholifa Mabang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Kholifa Rowalla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Kunike Barina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Kunike Sanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2508
        </catValu>
        <labl>
          Malal Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Sambaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Tane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Yoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Badjia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Bagbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3103
        </catValu>
        <labl>
          Bagbwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3104
        </catValu>
        <labl>
          Baoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3105
        </catValu>
        <labl>
          Bumpe Ngawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3106
        </catValu>
        <labl>
          Gbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3107
        </catValu>
        <labl>
          Jaiama-Bongor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3108
        </catValu>
        <labl>
          Kakua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3109
        </catValu>
        <labl>
          Komboya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Lugbu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Niawa Lenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          Selenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Tikonko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3114
        </catValu>
        <labl>
          Valunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3115
        </catValu>
        <labl>
          Wunde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Bo Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Bendu Cha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Dema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Imperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Jong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3206
        </catValu>
        <labl>
          Kpanda Kemo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Kwamebai Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3208
        </catValu>
        <labl>
          Nongoba Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3209
        </catValu>
        <labl>
          Sittia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Sogbini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Yawbeko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3291
        </catValu>
        <labl>
          Bonthe Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Bagruwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Bumpeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Dasse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Fakunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Kagboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Kaiyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3307
        </catValu>
        <labl>
          Kamajei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3308
        </catValu>
        <labl>
          Kongbora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Kowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Lower Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Ribbi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Timdale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Upper Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Barri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Gallinasperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Kpaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Kpanga-Kabonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Makpele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Malen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Mano Sakrim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Panga Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Pejeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Soro Gbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Sowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          YKK [Yekomo Kpukumu Krim]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Koya [Western - rural]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Mountain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Waterloo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          York - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Western - urban - Central 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Western - urban - Central 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Western - urban - East 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Western - urban - East 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Western - urban - East 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Western - urban - West 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Western - urban - West 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4208
        </catValu>
        <labl>
          Western - urban - West 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9001
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9002
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9003
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9004
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9005
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9006
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9007
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9008
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9009
        </catValu>
        <labl>
          Other African country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9010
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9011
        </catValu>
        <labl>
          Other European country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9012
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9013
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9014
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9015
        </catValu>
        <labl>
          Other country
        </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="V159" name="DISPSYC" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="180" EndPos="180" 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="V160" name="DISORIG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="182" width="2" RecSegNo="1"/>
      <labl>
        Origin of disability
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISORIG indicates the cause or origin of a person's stated disability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Congenital, since birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Disease
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Polio, infant paralysis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Parkinsons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sclerosis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Stroke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Epilepsy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Hanson disease
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Other disease
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Accident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Work accident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Transport accident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Other accident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Aging
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Mental infirmity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          War injury
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Genocide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Anti-personnel mine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Domestic violence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Violence of delinquency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Other form of violence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Other cause, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Multiple causes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No disability
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="DISREHB" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="183" EndPos="184" width="2" RecSegNo="1"/>
      <labl>
        Rehabilitation of disability
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISREHB indicates the rehabilitation or assistance measures that the disabled person is applying in order to help with the disability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Surgical operation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Medication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Assistive devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Training: special education (mentally retarded)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Training: braille/sign language training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Training: skills training (vocational)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Financial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Counseling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Multiple methods of rehabilition
        </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="V162" name="DISMNTL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="179" width="1" RecSegNo="1"/>
      <labl>
        Mental disability
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity.
      </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="V163" name="EDUCSL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="149" EndPos="150" width="2" RecSegNo="1"/>
      <labl>
        Educational attainment, Sierra Leone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="70"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDUCSL indicates the person's educational attainment in terms of the level of schooling completed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Preschool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Primary, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Primary, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Primary, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Primary, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Primary, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Primary, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Junior secondary, grades 1-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Senior secondary, grades 1-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Post-secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Vocational/commercial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Teacher training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Technical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Nursing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Tertiary (university)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Tertiary (university), certificate/diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Tertiary (university), first degree
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Tertiary (university), post-graduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Koranic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="IND" files="F2" dcml="0" intrvl="contin">
      <location StartPos="164" EndPos="168" 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: SL2004A_0422]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V165" name="OCCISCO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="155" EndPos="156" 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="V166" name="SL2004A_0003" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="185" EndPos="186" 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="72"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        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>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V167" name="SL2004A_0400" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="187" EndPos="188" width="2" RecSegNo="1"/>
      <labl>
        Person number
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Serial number _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P1 -- Serial number
74. The serial numbers are already in the questionnaire. What you have to do is to mark an X against a person's serial number if the person is not seen.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="72"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the serial number of the individual within the household.
      </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>
      <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>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="SL2004A_0401" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="190" width="2" RecSegNo="1"/>
      <labl>
        Relationship to the household head
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P4. Relationship
What is [the respondent's] relationship to the household head?

[] 1 Head
[] 2 Spouse
[] 3 Son/daughter
[] 4 Sister/brother
[] 5 Nephew/niece
[] 6 Parent
[] 7 In-law
[] 8 Grandchild
[] 9 Other
[] 0 Not related]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




 Column P4 -- Relationship
80. Ask, "Who is this person to you, or to the head of the household?" and ask further questions as necessary, making quite sure that you understand the relationship correctly before you make an entry. If you ask the question wrongly, you may for example have a situation in which a "Son/daughter" is recorded as "Father/mother".
When you are sure that the list of names and relationships is complete and correct you may go on to complete the rest of the questionnaire.

81. Enter the relationship of each person to the head of the household. Enter the code as appropriate refer to code list) against the name of the person to signify his/her relationship to the head.

82. There are cases when persons spent census night with a household but are not related to the members of that household. In such a case, enter the code "10" in the relationship column against the names of such persons indicating a "not related" case.




P4 Relationship
What is____ relationship to the household head?

[] 1 Head
[] 2 Spouse
[] 3 Son / daughter
[] 4 Sister / brother
[] 5 Nephew / niece
[] 6 Parent
[] 7 In-law
[] 8 Grandchild
[] 9 Other
[] 0 Not related]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the individual's relationship to the head of household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sister/brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Nephew/niece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          In-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not related
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="SL2004A_0402" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="191" EndPos="192" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P5. Age (completed years)

If younger than 1, record "00". For 95 and over, record "95".
_ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P5 -- Age
83. This is one of the most important questions in the questionnaire. It is also one of the most difficult to answer correctly. Take particular care with it.

84. Ask, "How old is this person?" If the age is not known, ask for the year of birth. If this is provided, use it to get the person's age. Record the age of the person in completed years i.e. age as at last birthday). For children under one year of age, write "00". For example, a person aged 26 years and four months should be entered as "26". A child aged three months should be entered as "00".

85. Many people will not know their ages. If neither the person's age nor the year of birth is known, you must refer to the "Events Calendar" and try to relate the person's age to an event in the calendar. For example, ask the person whether he was born by the time of the Second World War (the so-called Burma War). If the answer is "Yes", then probe further and ask, "How big were you at that time?" This way, his/her age will be estimated.

86. When you have made the best estimate you can, you should check that it is compatible with the person's position in the family. For example, a child cannot be older than its father, a mother aged 22 cannot have a child aged 17, and a woman aged over 50 is unlikely to have a child aged "00".

87. Some people have fixed and wrong ideas about their ages. Do not accept any answers that are obviously wrong. Try and get accurate answers. Be careful to probe if you observe a tendency for people to consistently give ages ending in particular digits e.g. 0 and 5).




P5 Age in completed years: age at last birthday

If younger than 1, record "00". For [persons age] 95 or older, record "95".]]>
        </ivuInstr>
      </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 age of the individual in completed years.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Under 1 year
        </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 and over
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="SL2004A_0403" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="193" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P6. Sex
Is [the respondent] male or female?

[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P6 -- Sex
88. Ask "Is this person male or female?" Write 1 for "Male" and 2 for "Female".

89. It is important that you ask the respondent to specify the sex of a household member before you record it. Do not guess from the name and relationship which sex the person is, ask. You must be careful in dealing with names that are shared by both sexes such as "Ayo", "Gina", "Sao", "Gbessay", "Omo", "Oseh", "Femi", "Aina", "Bola", "Dowu", "Remi", "Tunde", "Joko", "Taiwo", "Kainde", etc.

90. Be particularly careful to get the sex of very young children right. Don't guess.




P6 Sex
Is [the respondent] male or female?

[] 1 M
[] 2 F]]>
        </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 the sex of the individual.
      </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="V171" name="SL2004A_0404" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="194" EndPos="195" width="2" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P7. Religion
What is [the respondent's] religion?

[] 01 Catholic
[] 02 Anglican
[] 03 Methodist
[] 04 SDA [Seventh-Day Adventist]
[] 05 Pentecostal
[] 06 Other Christian
[] 07 Ahmadis Muslim
[] 08 Sunni Muslim
[] 09 Shiek Muslim
[] 10 Other Muslim
[] 11 Bahai
[] 12 Traditional
[] 13 None
[] 14 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P7 -- Religion
91. This question seeks to find out the religious beliefs of respondents. You should therefore ask, "What is [the respondent's] religion?" Record the appropriate code from the code list. Probe for the denomination. For example, a person says he/she is Christian, ask for the denomination (i.e. whether Catholic or Anglican, etc.)




P7 Religion
What is [the respondent's] religion?

[] 01 Catholic
[] 02 Anglican
[] 03 Methodist
[] 04 SDA
[] 05 Pentecostal
[] 06 Other Christian
[] 07 Ahmadis Muslim
[] 08 Sunni Muslim
[] 09 Sheik Muslim
[] 10 Other Muslim
[] 11 Bahai
[] 12 Traditional
[] 13 None
[] 14 Other]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="14"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the religion of the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Anglican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Methodist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Seventh-day Adventists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other Christians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Ahmadis Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sunni Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Shiek Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V172" name="SL2004A_0405" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="196" EndPos="197" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P8. Nationality/ethnicity
What is [the respondent's] nationality/ethnicity group?

[] 01 Krio
[] 02 Mende
[] 03 Temne
[] 04 Madingo
[] 05 Loko
[] 06 Sherbro
[] 07 Limba
[] 08 Kissi
[] 09 Kono
[] 10 Susu
[] 11 Fullah
[] 12 Krim
[] 13 Yalunka
[] 14 Koranko
[] 15 Vai
[] 16 English
[] 17 French
[] 18 Arabic
[] 19 Other
[] 20 None]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P8 -- Nationality/ethnicity
92. Answers to this question will differ depending on whether the respondent is Sierra Leonean or a foreign national. For Sierra Leoneans, record the code of the ethnic group. For example, Mende is "02", Temne is "03", Limba is "07", etc. For foreign nationals the code is "16", "17", "18" or "19" as appropriate (refer to code list).




P8-10 Nationality/ethnicity
What is [the respondent] nationality / ethnicity group?]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the ethnicity (Sierra Leoneans) or nationality (non-Sierra Leoneans) of the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Krio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Madingo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sherbro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kissi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Susu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Fullah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yalunka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Koranko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Vai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V173" name="SL2004A_0406" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="198" EndPos="199" width="2" RecSegNo="1"/>
      <labl>
        Primary language
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P9. Language: primary
What is the primary language spoken by [the respondent]?

[] 01 Krio
[] 02 Mende
[] 03 Temne
[] 04 Madingo
[] 05 Loko
[] 06 Sherbro
[] 07 Limba
[] 08 Kissi
[] 09 Kono
[] 10 Susu
[] 11 Fullah
[] 12 Krim
[] 13 Yalunka
[] 14 Koranko
[] 15 Vai
[] 16 English
[] 17 French
[] 18 Arabic
[] 19 Other
[] 20 None]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P9 -- Primary language
93. This question refers to the respondent's first language spoken. The question you must ask is: "What is the main language that [the respondent] speaks?" Some people may belong to an ethnic group but their primary language would be different (e.g. Krio is code "01", Kono is code "09", etc.)




Language, primary: What is the primary language spoken by [the respondent]?]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the primary (native) language spoken by the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Krio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Madingo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sherbro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kissi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Susu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Fullah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yalunka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Koranko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Vai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V174" name="SL2004A_0407" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="200" EndPos="201" width="2" RecSegNo="1"/>
      <labl>
        Secondary language
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P10. Language: secondary
 What is the secondary language spoken by [the respondent]?

[] 01 Krio
[] 02 Mende
[] 03 Temne
[] 04 Madingo
[] 05 Loko
[] 06 Sherbro
[] 07 Limba
[] 08 Kissi
[] 09 Kono
[] 10 Susu
[] 11 Fullah
[] 12 Krim
[] 13 Yalunka
[] 14 Koranko
[] 15 Vai
[] 16 English
[] 17 French
[] 18 Arabic
[] 19 Other
[] 20 None]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P10 -- Secondary language
94. A secondary language is one that is acquired through learning and is spoken as a second language. It could be any language, Sierra Leonean or foreign. Some people may not have a secondary language because apart from their mother tongue, they do not speak any other language. In such a case, record code 20, for "None". The aspect of speaking the secondary language fluently must be stressed.

95. The question you must therefore ask is, "Apart from your mother tongue, what other language do you speak?"

96. Some people are gifted and can communicate in more than one secondary language. The question requires only one answer and the respondent should

[p.14]

choose which of the secondary languages he/she communicates in best. Refer to the code list and record the appropriate code.




Language, secondary: What is the Secondary language spoken by [the respondent]?

[] 01 Krio
[] 02 Mende
[] 03 Temne
[] 04 Madingo
[] 05 Loko
[] 06 Sherbro
[] 07 Limba
[] 08 Kissi
[] 09 Kono
[] 10 Susu
[] 11 Fullah
[] 12 Krim
[] 13 Yalunka
[] 14 Koranko
[] 15 Vai
[] 16 English
[] 17 French
[] 18 Arabic
[] 19 Other
[] 20 None]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the secondary (learned) language spoken by the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Krio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Madingo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sherbro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kissi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Susu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Fullah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yalunka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Koranko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Vai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V175" name="SL2004A_0408" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="205" width="4" RecSegNo="1"/>
      <labl>
        Chiefdom/country of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P11. Place of birth
In which chiefdom/country was [the respondent] born?

Chiefdom ____
Country ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P11 -- Place of birth
97. If the person was born in Sierra Leone, record the appropriate district and chiefdom / ward code provided in the code list. For example, Dibia in Port Loko is "2403", Yawei in Kailahun is "1114", Central 2 in Western Area Urban is "4202", etc.

98. If the person was born outside Sierra Leone, record the appropriate code provided in the code list under "Country of citizenship for non-Sierra Leoneans". For example, Nigeria is "6164", Gambia is "6132", etc.

99. Ask, "Was this person born in Sierra Leone?" and if the answer is "No" ask: "In what country was he/she born?" If the answer is "Yes", ask in which district and chiefdom / ward.




P11 Place of birth
In which chiefdom/ country was born? (Record as given)

 Chiefdom ____
 Country____]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1101" max="6490"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the chiefdom (Sierra Leoneans) or country (non-Sierra Leoneans) where the individual was born.
      </txt>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Dea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Jawie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Kissi Kama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Kissi Teng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Kissi Tongi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1106
        </catValu>
        <labl>
          Kpeje Bongre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1107
        </catValu>
        <labl>
          Kpeje West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1108
        </catValu>
        <labl>
          Luawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1109
        </catValu>
        <labl>
          Malema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Mandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1111
        </catValu>
        <labl>
          Njaluahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Penguia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1113
        </catValu>
        <labl>
          Upper Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1114
        </catValu>
        <labl>
          Yawei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Dama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Dodo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Gaura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Gorama Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Kandu Lekpeama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Koya [Kenema]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          Langrama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          Lower Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Malegohun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Niawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Nongowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Simbaru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Small Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          Tunkia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1216
        </catValu>
        <labl>
          Wandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1291
        </catValu>
        <labl>
          Kenema Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Fiama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Gbane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Gbane Kandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Gbense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Gorama Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Kamara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Lei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Mafindor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Nimikoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Nimiyama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Sandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          Tankoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1314
        </catValu>
        <labl>
          Toli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Koidu Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Biriwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Bombali Sebora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Gbanti-Kamaranka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Gbendembu Ngowahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Libeisaygahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Magbaimba Ndorhahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari Gbanti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Paki Masabong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Safroko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Sanda Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Sanda Tenraran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Sella Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Tambakka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Makeni Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Bramaia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gbinle-Dixing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Magbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Mambolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Masungbala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Samu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Tonko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Dembelia Sinkunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Follosaba Dembelia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Kasunko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Mongo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Neya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Nieni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Sengbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2309
        </catValu>
        <labl>
          Sulima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Wara Wara Bafodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wara Wara Yagala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          BKM [Bureh Kaseh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buya Romende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Kaffu Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Koya [Port Loko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Lokomasama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Maforki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Marampa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Masimera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Sanda Magbolontor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          TMS [T.M. Safroko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Gbonkolenken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Kafe Simira
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Kalansogoia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Kholifa Mabang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Kholifa Rowalla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Kunike Barina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Kunike Sanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2508
        </catValu>
        <labl>
          Malal Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Sambaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Tane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Yoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Badjia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Bagbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3103
        </catValu>
        <labl>
          Bagbwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3104
        </catValu>
        <labl>
          Baoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3105
        </catValu>
        <labl>
          Bumpe Ngawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3106
        </catValu>
        <labl>
          Gbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3107
        </catValu>
        <labl>
          Jaiama-Bongor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3108
        </catValu>
        <labl>
          Kakua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3109
        </catValu>
        <labl>
          Komboya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Lugbu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Niawa Lenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          Selenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Tikonko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3114
        </catValu>
        <labl>
          Valunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3115
        </catValu>
        <labl>
          Wunde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Bo Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Bendu Cha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Dema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Imperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Jong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3206
        </catValu>
        <labl>
          Kpanda Kemo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Kwamebai Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3208
        </catValu>
        <labl>
          Nongoba Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3209
        </catValu>
        <labl>
          Sittia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Sogbini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Yawbeko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3291
        </catValu>
        <labl>
          Bonthe Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Bagruwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Bumpeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Dasse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Fakunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Kagboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Kaiyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3307
        </catValu>
        <labl>
          Kamajei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3308
        </catValu>
        <labl>
          Kongbora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Kowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Lower Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Ribbi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Timdale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Upper Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Barri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Gallinasperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Kpaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Kpanga-Kabonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Makpele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Malen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Mano Sakrim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Panga Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Pejeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Soro Gbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Sowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          YKK [Yekomo Kpukumu Krim]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Koya [Western - rural]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Mountain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Waterloo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          York - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Western - urban - Central 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Western - urban - Central 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Western - urban - East 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Western - urban - East 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Western - urban - East 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Western - urban - West 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Western - urban - West 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4208
        </catValu>
        <labl>
          Western - urban - West 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6132
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6134
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6136
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6138
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6144
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6152
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6164
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6172
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6195
        </catValu>
        <labl>
          Other African country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6209
        </catValu>
        <labl>
          United States of America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6419
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6441
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6490
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V176" name="SL2004A_0439" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="206" EndPos="207" width="2" RecSegNo="1"/>
      <labl>
        District of residence in 1990
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P12. Place of residence in December 1990
Where was [the respondent] living in December 1990?

____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P12 -- Place of residence in 1990
100. For this question, ask: "Where was [the respondent] living in 1990?" Use the codes on the code list for "Place of birth/place of residence", and "Country of citizenship for non-sierra Leoneans".

101. Note that a Sierra Leonean may have been living outside Sierra Leone, and a non-Sierra Leonean may have been living in Sierra Leone.

102. If the person had not been born, use code "0000".




P12 Place of residence in December 1990
Where was ____living in December 1990?]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="11" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons born in 1990 or before
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates district of residence of the person in 1990.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Kailahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Kenema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Bombali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Koinadugu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Port Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Tonkolili
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Bonthe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Moyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pujehun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Western - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Western - urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Abroad
        </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="V177" name="SL2004A_0409" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="208" EndPos="211" width="4" RecSegNo="1"/>
      <labl>
        Chiefdom/country of residence in 1990
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P12. Place of residence in December 1990
Where was [the respondent] living in December 1990?

____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Column P12 -- Place of residence in 1990
100. For this question, ask: "Where was [the respondent] living in 1990?" Use the codes on the code list for "Place of birth/place of residence", and "Country of citizenship for non-sierra Leoneans".

101. Note that a Sierra Leonean may have been living outside Sierra Leone, and a non-Sierra Leonean may have been living in Sierra Leone.

102. If the person had not been born, use code "0000".




P12 Place of residence in December 1990
Where was ____living in December 1990?]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1101" max="9999"/>
      </valrng>
      <universe clusion="I">
        Persons born in 1990 or before
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the chiefdom or country where the individual was residing in 1990.
      </txt>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Dea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Jawie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Kissi Kama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Kissi Teng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Kissi Tongi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1106
        </catValu>
        <labl>
          Kpeje Bongre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1107
        </catValu>
        <labl>
          Kpeje West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1108
        </catValu>
        <labl>
          Luawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1109
        </catValu>
        <labl>
          Malema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Mandu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1111
        </catValu>
        <labl>
          Njaluahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Penguia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1113
        </catValu>
        <labl>
          Upper Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1114
        </catValu>
        <labl>
          Yawei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Dama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Dodo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Gaura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Gorama Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Kandu Lekpeama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Koya [Kenema]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          Langrama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          Lower Bambara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Malegohun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Niawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nomo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Nongowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Simbaru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Small Bo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          Tunkia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1216
        </catValu>
        <labl>
          Wandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1291
        </catValu>
        <labl>
          Kenema Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Fiama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Gbane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Gbane Kandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Gbense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Gorama Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Kamara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Lei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Mafindor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1309
        </catValu>
        <labl>
          Nimikoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Nimiyama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Sandor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Soa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          Tankoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1314
        </catValu>
        <labl>
          Toli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <labl>
          Koidu Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Biriwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Bombali Sebora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Gbanti-Kamaranka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Gbendembu Ngowahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Libeisaygahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Magbaimba Ndorhahun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Makari Gbanti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Paki Masabong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Safroko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Sanda Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Sanda Tenraran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Sella Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Tambakka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Makeni Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Bramaia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Gbinle-Dixing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Magbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Mambolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Masungbala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Samu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Tonko Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Dembelia Sinkunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Diang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Follosaba Dembelia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Kasunko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Mongo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Neya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Nieni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Sengbe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2309
        </catValu>
        <labl>
          Sulima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Wara Wara Bafodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Wara Wara Yagala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          BKM [Bureh Kaseh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buya Romende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Kaffu Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Koya [Port Loko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Lokomasama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Maforki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Marampa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Masimera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Sanda Magbolontor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          TMS [T.M. Safroko]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Gbonkolenken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Kafe Simira
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Kalansogoia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Kholifa Mabang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Kholifa Rowalla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Kunike Barina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2507
        </catValu>
        <labl>
          Kunike Sanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2508
        </catValu>
        <labl>
          Malal Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2509
        </catValu>
        <labl>
          Sambaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          Tane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2511
        </catValu>
        <labl>
          Yoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Badjia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3102
        </catValu>
        <labl>
          Bagbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3103
        </catValu>
        <labl>
          Bagbwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3104
        </catValu>
        <labl>
          Baoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3105
        </catValu>
        <labl>
          Bumpe Ngawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3106
        </catValu>
        <labl>
          Gbo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3107
        </catValu>
        <labl>
          Jaiama-Bongor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3108
        </catValu>
        <labl>
          Kakua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3109
        </catValu>
        <labl>
          Komboya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Lugbu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Niawa Lenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          Selenga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Tikonko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3114
        </catValu>
        <labl>
          Valunia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3115
        </catValu>
        <labl>
          Wunde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3191
        </catValu>
        <labl>
          Bo Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Bendu Cha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Bum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Dema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Imperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Jong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3206
        </catValu>
        <labl>
          Kpanda Kemo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Kwamebai Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3208
        </catValu>
        <labl>
          Nongoba Bullom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3209
        </catValu>
        <labl>
          Sittia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Sogbini
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Yawbeko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3291
        </catValu>
        <labl>
          Bonthe Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Bagruwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Bumpeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Dasse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Fakunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Kagboro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Kaiyamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3307
        </catValu>
        <labl>
          Kamajei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3308
        </catValu>
        <labl>
          Kongbora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Kori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Kowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Lower Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Ribbi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Timdale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Upper Banta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Barri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Gallinasperi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Kpaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Kpanga-Kabonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Makpele
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Malen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Mano Sakrim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Panga Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Pejeh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Soro Gbema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Sowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          YKK [Yekomo Kpukumu Krim]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4101
        </catValu>
        <labl>
          Koya [Western - rural]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4102
        </catValu>
        <labl>
          Mountain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4103
        </catValu>
        <labl>
          Waterloo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4104
        </catValu>
        <labl>
          York - rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Western - urban - Central 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          Western - urban - Central 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Western - urban - East 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Western - urban - East 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4205
        </catValu>
        <labl>
          Western - urban - East 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4206
        </catValu>
        <labl>
          Western - urban - West 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4207
        </catValu>
        <labl>
          Western - urban - West 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4208
        </catValu>
        <labl>
          Western - urban - West 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6132
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6134
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6136
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6138
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6144
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6152
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6164
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6172
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6195
        </catValu>
        <labl>
          Other African country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6205
        </catValu>
        <labl>
          Other European country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6209
        </catValu>
        <labl>
          United States of America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6419
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6441
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6490
        </catValu>
        <labl>
          Other
        </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="V178" name="SL2004A_0410" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="212" EndPos="212" width="1" RecSegNo="1"/>
      <labl>
        Maternal orphanhood
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P13. Is [the respondent's] mother alive?

[] 1 Yes
[] 2 No
[] 3 Don't know]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Columns P13 - P14 -- Orphanhood
103. These questions refer to the biological mother and father of the respondent and the answer should be in respect of the person's real mother and father.

104. You should therefore ask, "Is this person's real mother and father alive -- the ones who bore him/her?" "Yes" is 1, "No" is 2, and "Don't know" is 3.




P13-14 Orphanhood





Is [the respondent's] mother alive?



[] 1 Yes
[] 2 No
[] 3 Don't know]]>
        </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 whether the individual's biological mother is still alive.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mother alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mother dead
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V179" name="SL2004A_0411" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="213" EndPos="213" width="1" RecSegNo="1"/>
      <labl>
        Paternal orphanhood
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P14. Is [the respondent's] father alive?

[] 1 Yes
[] 2 No
[] 3 Don't know]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Columns P13 - P14 -- Orphanhood
103. These questions refer to the biological mother and father of the respondent and the answer should be in respect of the person's real mother and father.

104. You should therefore ask, "Is this person's real mother and father alive -- the ones who bore him/her?" "Yes" is 1, "No" is 2, and "Don't know" is 3.




P13-14 Orphanhood





Is [the respondent's] father alive?



[] 1 Yes
[] 2 No
[] 3 Don't know]]>
        </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 whether the individual's biological father is still alive.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Father alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Father dead
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V180" name="SL2004A_0412" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="214" EndPos="214" width="1" RecSegNo="1"/>
      <labl>
        Disabled
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P15. Disability
Is [the respondent] disabled?

[] 1 Yes
[] 2 No (go to P19)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Columns P15 - P18 -- Disability
105. It is absolutely important that this information is collected as accurately as possible, which means that the question applies to everybody in the household. You must be particularly careful to distinguish between actual disability and other forms of illnesses.

106. For example, you may be told that a member of the household has had tuberculosis or has been suffering from backache or stomach pains for a very long time. These are not disabilities for the purpose of these questions. It may be necessary to see the persons who have been reported as being disabled. This

[p.15]

will give you an opportunity to determine whether the persons) is/are disabled according to the specifications below.

107. Somebody is disabled if he/she is blind, crippled, deaf, dumb, mentally retarded or has lost limbs), etc.




P15 -- Whether person is disabled
108. Ask, "Is [the respondent] disabled?" If the answer is "Yes", ask the second question relating to the type of disability (question P16) before you make any entry. If you are satisfied that the type of disability falls within our prescribed category, you can then fill in P15 and P16. This is necessary to avoid messing up the questionnaire.




P15 Disability
Is [the respondent] disabled?

[] 1 Yes
[] 2 No if 2, go to P19)]]>
        </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 whether the individual is disabled.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Disability Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V181" name="SL2004A_0413" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="215" EndPos="216" width="2" RecSegNo="1"/>
      <labl>
        Type of disability
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P15. Disability
Is [the respondent] disabled?

[] 1 Yes
[] 2 No (go to P19)





Disability
[Questions 16-18 were asked of persons who are disabled, per question P15]




P16. Type of disability

[] 01 Limited use of legs
[] 02 Loss of leg(s)
[] 03 Limited use of arms
[] 04 Loss of arm(s)
[] 05 Serious problem with back spine
[] 06 Hearing difficulty
[] 07 Unable to hear (deafness)
[] 08 Sight difficulty
[] 09 Blindness
[] 10 Speech impairment
[] 11 Unable to speak (mute)
[] 12 Mental retardation
[] 13 Mental illness (strange behavior)
[] 14 Epileptic
[] 15 Rheumatism
[] 16 Others (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Columns P15 - P18 -- Disability
105. It is absolutely important that this information is collected as accurately as possible, which means that the question applies to everybody in the household. You must be particularly careful to distinguish between actual disability and other forms of illnesses.

106. For example, you may be told that a member of the household has had tuberculosis or has been suffering from backache or stomach pains for a very long time. These are not disabilities for the purpose of these questions. It may be necessary to see the persons who have been reported as being disabled. This

[p.15]

will give you an opportunity to determine whether the persons) is/are disabled according to the specifications below.

107. Somebody is disabled if he/she is blind, crippled, deaf, dumb, mentally retarded or has lost limbs), etc.




P15 -- Whether person is disabled
108. Ask, "Is [the respondent] disabled?" If the answer is "Yes", ask the second question relating to the type of disability (question P16) before you make any entry. If you are satisfied that the type of disability falls within our prescribed category, you can then fill in P15 and P16. This is necessary to avoid messing up the questionnaire.




P16 -- Type of disability
109. Ask for the type of disability and record the appropriate code refer to the code list). For example, "Limited use of legs" is 01, "Loss of legs" is 02, etc.

110. Some people may have more than one disability. In such cases, record the most serious one.




P16 Type of disability

[] 01 Limited use of legs
[] 02 Loss of legs)
[] 03 Limited use of arms
[] 04 Loss of arms)
[] 05 Serious problem with back spine
[] 06 Hearing difficulty
[] 07 Unable to hear deafness)
[] 08 Sight difficulty
[] 09 Blindness
[] 10 Speech impairment
[] 11 Unable to speak mute)
[] 12 Mental retardation
[] 13 Mental illness strange behaviour)
[] 14 Epileptic
[] 15 Rheumatism
[] 16 Othersspecify)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Disabled persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the most serious type of disability that the individual has.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Limited use of legs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Loss of leg(s)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Limited use of arms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Loss of arm(s)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Serious problem with back spine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Hearing difficulty
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Deafness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sight difficulty
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Blindness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Speech impairment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Mute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mental retardation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mental illness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Epileptic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Rheumatism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Other
        </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="V182" name="SL2004A_0414" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="217" EndPos="217" width="1" RecSegNo="1"/>
      <labl>
        Cause of disability
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P15. Disability
Is [the respondent] disabled?

[] 1 Yes
[] 2 No (go to P19)





Disability
[Questions 16-18 were asked of persons who are disabled, per question P15]




P17. Cause of disability

[] 1 Congenital (from birth)
[] 2 Disease/illness
[] 3 Transport accident
[] 4 Occupational injury
[] 5 Other accident
[] 6 War
[] 7 Natural aging process
[] 8 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Columns P15 - P18 -- Disability
105. It is absolutely important that this information is collected as accurately as possible, which means that the question applies to everybody in the household. You must be particularly careful to distinguish between actual disability and other forms of illnesses.

106. For example, you may be told that a member of the household has had tuberculosis or has been suffering from backache or stomach pains for a very long time. These are not disabilities for the purpose of these questions. It may be necessary to see the persons who have been reported as being disabled. This

[p.15]

will give you an opportunity to determine whether the persons) is/are disabled according to the specifications below.

107. Somebody is disabled if he/she is blind, crippled, deaf, dumb, mentally retarded or has lost limbs), etc.




P15 -- Whether person is disabled
108. Ask, "Is [the respondent] disabled?" If the answer is "Yes", ask the second question relating to the type of disability (question P16) before you make any entry. If you are satisfied that the type of disability falls within our prescribed category, you can then fill in P15 and P16. This is necessary to avoid messing up the questionnaire.




P17 -- Cause of disability
111. Ask for the cause of the disability and record the appropriate code refer to the code list). For example, "Congenital" is 1, "Disease/illness" is 2, etc.




P17 Cause of disability

[] 1 Congenital from birth)
[] 2 Disease/illness
[] 3 Transport accident
[] 4 Occupational injury
[] 5 Other accident
[] 6 War
[] 7 Natural aging process
[] 8 Other specify)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Disabled persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the cause of the individual's most serious disability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Congenital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Disease/illness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Transport accident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Occupational injury
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other accident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          War
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Aging
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </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="V183" name="SL2004A_0415" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="218" EndPos="219" width="2" RecSegNo="1"/>
      <labl>
        Disability assistance
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

P15. Disability
Is [the respondent] disabled?

[] 1 Yes
[] 2 No (go to P19)





Disability
[Questions 16-18 were asked of persons who are disabled, per question P15]




P18. Are you receiving any assistance?

[] 1 Surgical operation
[] 2 Medication
[] 3 Assistive devices
[] 4 Special education (mentally retarded)
[] 5 Braille training/sign language training
[] 6 Skills training (vocational)
[] 7 Counseling
[] 8 Financial
[] 9 Other (specify) ____
[] 0 None]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Section 1 - Population
Columns P1 to P18 -- These should provide particulars of all members who slept in the household/institution on census night. They therefore apply to all persons.




Columns P15 - P18 -- Disability
105. It is absolutely important that this information is collected as accurately as possible, which means that the question applies to everybody in the household. You must be particularly careful to distinguish between actual disability and other forms of illnesses.

106. For example, you may be told that a member of the household has had tuberculosis or has been suffering from backache or stomach pains for a very long time. These are not disabilities for the purpose of these questions. It may be necessary to see the persons who have been reported as being disabled. This

[p.15]

will give you an opportunity to determine whether the persons) is/are disabled according to the specifications below.

107. Somebody is disabled if he/she is blind, crippled, deaf, dumb, mentally retarded or has lost limbs), etc.




P15 -- Whether person is disabled
108. Ask, "Is [the respondent] disabled?" If the answer is "Yes", ask the second question relating to the type of disability (question P16) before you make any entry. If you are satisfied that the type of disability falls within our prescribed category, you can then fill in P15 and P16. This is necessary to avoid messing up the questionnaire.




P18 -- Assistance
112. Ask, "Is [the respondent] receiving any kind of assistance?" If "Yes" ask what kind and record the appropriate code refer to the code list). For example, "Surgical operation" is 02, "Medication" is 02, etc. If "No", use code 11.




P18 Are you receiving any assistance?

[] 1 Surgical operation
[] 2 Medication
[] 3 Assistive devices
[] 4 Special education mentally retarded)
[] 5 Braille training/sign language training
[] 6 Skills training vocational)
[] 7 Counselling
[] 8 Financial
[] 9 Other specify)
[] 0 None]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Disabled persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of disability assistance that the individual receives.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Surgical operation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Medication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Assistive devices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Special education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Braille/sign language training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Vocational training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Counseling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Financial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Other
        </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="V184" name="SL2004A_0416" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="220" EndPos="220" width="1" RecSegNo="1"/>
      <labl>
        School attendance
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P19-P21: Persons age 6 years and older]




P19. School attended
Has [the respondent] ever attended school?

[] 1 Never (go to P21)
[] 2 Still
[] 3 Left]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P19 - P21) -- Education and literacy (Persons age 6 or older)




P19 -- School attendance
113. In this case school means primary school, secondary school, university college, teachers training college, technical institute and trade centre -- in fact any educational establishment where formal instruction is given on a full time basis. It also includes Arabic schools.

114. Ask, "Has this person ever attended school?" If the person has never been to school enter 1 and skip to P21. If the person is attending an educational institution as a full time student, enter 2, has left school, enter 3, and ask P20 and P21.

115. Remember that questions on education relate to persons aged 6 years and over and for those that the questions are not applicable, draw a straight line across the remaining lines against their names.




[Questions P19 - P21: Persons age 6 or older]




P19 School attendance
Has [the respondent] ever attended school?

[] 1 Never (if 1, go to P21)
[] 2 Still
[] 3 Left]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 6+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person is currently attending or has ever attended formal school.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Still attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Left school
        </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="SL2004A_0417" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="221" EndPos="222" width="2" RecSegNo="1"/>
      <labl>
        Highest education level attained
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P19-P21: Persons age 6 years and older]




P20. Highest level attained
What is the highest level that [the respondent] attained?

[Question P20 was asked of persons age 6 or older who have ever attended school, per question P19]

[] 01 None
[] 11 Kindergarten
[] 21 Primary 1
[] 22 Primary 2
[] 23 Primary 3
[] 24 Primary 4
[] 25 Primary 5
[] 26 Primary 6
[] 31 JSS 1-3
[] 41 SSS 1-3
[] 51 Vocational/commercial
[] 61 Teacher training (TC/HTC)
[] 62 Technical (OND, HND)
[] 63 Nursing (up to SRN)
[] 71 Tertiary (certificate/diploma)
[] 72 Tertiary (first degree)
[] 73 Tertiary (post-graduate)
[] 81 Koranic
[] 92 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P19 - P21) -- Education and literacy (Persons age 6 or older)




P20 -- Highest level attained
116. This question is applicable only to respondents who, in P19, answered that they had been or were still in school. It does not apply to persons who never went to school.

117. Ask: "What is the highest level that he/she attained?" i.e. highest grade/level completed). Record the appropriate code (refer to the code list).

118. If a person went to a primary school or is still attending primary school, state the level or highest class he/she has passed. His or her present class is not the highest class passed. For example, if respondent is in class 4, the highest level attained is class 3 and therefore enter 05 [or 23] in the appropriate column.

119. Similarly if the respondent is in JSS 1, the highest class passed is class 6 and therefore enter code 08 [or 26] in the column relating to that respondent. The technique here is that the highest class passed at all levels is the class immediately below the present class of the person.

120. A University undergraduate with no other qualification other than completed secondary, will have code 10 [or 41] recorded.




[Questions P19 - P21: Persons age 6 or older]




P20 Highest level attended 
What is the highest level that [the respondent] attained?

[] 01 None
[] 11 Kindergarten
[] 21 Primary 1
[] 22 Primary 2
[] 23 Primary 3
[] 24 Primary 4
[] 25 Primary 5
[] 26 Primary 6
[] 31 JSS 1 - 3
[] 41 SSS 1 - 3
[] 51 Vocational / comm
[] 61 Teacher training (TC / HTC)
[] 62 Technical (OND, HND)
[] 63 Nursing (up to SRN)
[] 71 Tertiary (certificate / diploma)
[] 72 Tertiary (first degree)
[] 73 Tertiary (post-graduate)
[] 81 Koranic
[] 92 Other (specify)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 6+ who attend(ed) school
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the highest level of education that the individual has completed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Kindergarten
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Primary 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Primary 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Primary 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Primary 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Primary 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Primary 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Junior Secondary School 1-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Senior Secondary School 1-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Vocational/commercial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Teacher training (TC/HTC)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Technical (OND, HND)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nursing (up to SRN)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Tertiary (certificate/diploma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tertiary (first degree)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Tertiary (post-graduate)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Koranic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </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="V186" name="SL2004A_0418" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="223" EndPos="223" width="1" RecSegNo="1"/>
      <labl>
        Literacy
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P19-P21: Persons age 6 years and older]




P21. Literacy
Can [the respondent] read and write in any language?

[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P19 - P21) -- Education and literacy (Persons age 6 or older)




P21 -- Literacy
121. One of the objectives of collecting information on education is to stretch the definition of literacy to cover persons who can read and write in any language irrespective of the fact that they never attended a formal educational institution.

122. Informal education is now a widespread phenomenon in the country. It means that some persons might not have gone to formal educational institutions, but have gone through informal education and can read and write. Therefore, if the respondent says that he/she never went to school in P19, enter 1, skip P20 and ask "Can [the respondent] read and write in any language?" question P21) and enter the response as appropriate. "Yes" [is] 1, "No" [is] 2. This question is for all persons 6 years and over, irrespective of whether they have been to school or not.

123. Make sure that the person does both the reading and the writing. A person cannot be said to be literate if he only reads and not writes or vice versa.




[Questions P19 - P21: Persons age 6 or older]




P21 Literacy
Can [the respondent] read and write in any language?

[] 1 Yes
[] 2 No]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 6+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person can read and write in any language.
      </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="V187" name="SL2004A_0419" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="224" EndPos="224" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P22-P25: Persons age 10 years or older]




P22. Marital status
What is the marital status of [the respondent]?

[] 1 Never married
[] 2 Engaged
[] 3 Married monogamous
[] 4 Married polygamous
[] 5 Separated
[] 6 Divorced
[] 7 Widowed]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

P22 -- Marital status (Persons age 10 or older)
124. This is a very sensitive issue and you must avoid going into arguments with respondents. Accept the answer as given. Ask, "Are you currently married?" The options for an answer are provided in the code list.

125. For persons younger than 10 years, draw a straight line in columns P22 to P38 against their name to indicate that the questions do not apply to them.




[Questions P22 - P25: Persons age 10 or older]




P22 Marital status
What is the marital status of [the respondent]?

[] 1 Never married
[] 2 Engaged
[] 3 Married, monogamous
[] 4 Married, polygamous
[] 5 Separated
[] 6 Divorced
[] 7 Widowed]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the current marital status of the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Engaged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married, monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Married, polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Widowed
        </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="V188" name="SL2004A_0420" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="225" EndPos="226" width="2" RecSegNo="1"/>
      <labl>
        Economic activity in the last 30 days
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P22-P25: Persons age 10 years or older]




Type of economic activity
[Questions P23-P25]




P23. What was [the respondent's] main activity status in the past one month?

[] 1 Paid employee
[] 2 Self-employed
[] 3 Unpaid family worker
[] 4 Looking for work
[] 5 Not working and not looking for work
[] 6 Household work
[] 7 Full-time student
[] 8 Retired/pensioner
[] 9 Other (specify) ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P23 to P25 -- Economic activity (Persons age 10 or older)
126. Like marital status, questions on economic activity relate to respondents who are age 10 years or older. Note that the reference period is one month prior to the census; you must therefore concern yourself with the person's economic activities within that period and not beyond.




P23 -- Employment status
127. This question seeks to establish whether the respondent did any work regularly during the month to the census. The appropriate codes are provided in the code list.

128. Some persons are employed by others and earn a salary or wage and if that is the case, then code "01" applies, that is, the person worked for someone else. Other people are self-employed, they work for themselves, and if that is the case, code "02" applies. Other people worked but not for cash, so the appropriate code is "03", etc.




[Questions P22 - P25: Persons age 10 or older]




P23 Type of economic activity
What was [the respondent's] main activity status in the past one month?

[] 1 Paid employee
[] 2 Self employed
[] 3 Unpaid family worker
[] 4 Looking for work
[] 5 Not working and not looking for work
[] 6 Household work
[] 7 Full time student
[] 8 Retired/pensioner
[] 0 Other specify)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main status of the individual pertaining to economic activity during the previous 30 day period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Paid employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Unpaid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Looking for work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Not working and not looking for work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Household work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Full-time student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Retired/pensioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Other
        </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="V189" name="SL2004A_0421" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="227" EndPos="228" width="2" RecSegNo="1"/>
      <labl>
        Occupation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P22-P25: Persons age 10 years or older]




Type of economic activity
[Questions P23-P25]




P24. What kind of work did [the respondent] do?

[] 1 Legislators, senior officials and managers
[] 2 Professionals
[] 3 Technicians and associate professionals
[] 4 Clerks
[] 5 Service workers, shop and market sales workers
[] 6 Skilled agricultural and fishery worker
[] 7 Craft and related trade workers
[] 8 Plant and machine operators and assemblers
[] 9 Elementary occupations
[] 0 Armed Forces]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P23 to P25 -- Economic activity (Persons age 10 or older)
126. Like marital status, questions on economic activity relate to respondents who are age 10 years or older. Note that the reference period is one month prior to the census; you must therefore concern yourself with the person's economic activities within that period and not beyond.




P23 -- Employment status
127. This question seeks to establish whether the respondent did any work regularly during the month to the census. The appropriate codes are provided in the code list.

128. Some persons are employed by others and earn a salary or wage and if that is the case, then code "01" applies, that is, the person worked for someone else. Other people are self-employed, they work for themselves, and if that is the case, code "02" applies. Other people worked but not for cash, so the appropriate code is "03", etc.




[If the response is "04" to "09" [to question on employment status], do not ask P24 and P25]




P24 -- Occupation
129. Occupation means the main work a person does, irrespective of what is actually produced. Ask as clearly as possible the kind of work the person is doing or did a month to the enumeration.

130. Ask "What is this person's work?" If the answer is "None", ask: "What work has this person done during the last month?" If the answers are vague ask further questions such as, "What does this person actually do?" Use the appropriate code in the code list. For example, a clerk is "Clerical", and would be given code 3; a teacher will be treated as "Professional/technical" and given code 1 and so on.

131. Note that only a single code is required. Therefore for those with more than one occupation, ask for and record the main one.




[Questions P22 - P25: Persons age 10 or older]




P24 What kind of work did [the respondent] do?

[] 1 Legislators, senior officials and managers
[] 2 Professionals
[] 3 Technicians and associate professionals
[] 4 Clerks
[] 5 Service workers, shop and market sales workers
[] 6 Skilled agricultural and fishery worker
[] 7 Craft and related trade workers
[] 8 Plant and machine operators and assemblers
[] 9 Elementary occupations
[] 0 Armed forces]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ who worked in the last 30 days
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main type of work (occupational category) that the worker performs.
      </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, shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trade 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>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Occupation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V190" name="SL2004A_0422" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="229" EndPos="230" width="2" RecSegNo="1"/>
      <labl>
        Industry
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P22-P25: Persons age 10 years or older]




Type of economic activity
[Questions P23-P25]




P25. What is the main economic activity of the place where [the respondent] works?

[] 01 Crop farming
[] 02 Livestock
[] 03 Poultry
[] 04 Hunting
[] 05 Forestry
[] 06 Fishing
[] 07 Mining and quarrying
[] 08 Manufacturing
[] 09 Electricity, gas and water supply
[] 10 Construction
[] 11 Wholesale and retail trade, repair of motor vehicles, motorcycles and personal household goods
[] 12 Hotels and restaurants
[] 13 Transport, storage and communication
[] 14 Financial intermediation
[] 15 Real estate, renting and business activities
[] 16 Public administration and defense, compulsory social security
[] 17 Education
[] 18 Health and social work
[] 19 Other community, social and personal service activities
[] 20 Private households with employed persons
[] 21 Extra-territorial organizations and bodies]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P23 to P25 -- Economic activity (Persons age 10 or older)
126. Like marital status, questions on economic activity relate to respondents who are age 10 years or older. Note that the reference period is one month prior to the census; you must therefore concern yourself with the person's economic activities within that period and not beyond.




P23 -- Employment status
127. This question seeks to establish whether the respondent did any work regularly during the month to the census. The appropriate codes are provided in the code list.

128. Some persons are employed by others and earn a salary or wage and if that is the case, then code "01" applies, that is, the person worked for someone else. Other people are self-employed, they work for themselves, and if that is the case, code "02" applies. Other people worked but not for cash, so the appropriate code is "03", etc.




[If the response is "04" to "09" [to question on employment status], do not ask P24 and P25]




P25 -- Industry
132. Ask:
"Where do you work?"
"What happens there?"
"What is made or produced?" or "What services are provided?" or "What is sold?"

[p.18]

133. When you are satisfied that you have a proper answer, record the appropriate code in the code list. For example, "Crop farming" is 01, "Teaching" is 09, and so on.




[Questions P22 - P25: Persons age 10 or older]




P25 What is the main economic activity of the place where [the respondent] works?

[] 1 Crop farming
[] 2 Livestock
[] 3 Poultry
[] 4 Hunting and forestry
[] 5 Fishing
[] 6 Mining and quarrying
[] 7 Manufacturing
[] 8 Electricity, gas and water supply
[] 9 Construction
[] 10 Wholesale and retail trade, repair of motor vehicles, motorcycles and personal household goods
[] 11 Hotels and restaurants
[] 12 Transport, storage and communication
[] 13 Financial intermediation
[] 14 Real estate, renting and business activities
[] 15 Public administration and defence, compulsory social security
[] 16 Education
[] 17 Health and social work
[] 18 Other community, social and personal service activities
[] 19 Private households with employed persons
[] 20 Extra-territorial organizations and bodies]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ who worked in the last 30 days
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the industry in which the individual works.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Crop farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Poultry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Forestry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles, motorcycles and personal household goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Transport, storage and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate, renting and business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Public administration and defense, compulsory social security
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other community, social and personal service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Industry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V191" name="SL2004A_0423" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="231" EndPos="232" width="2" RecSegNo="1"/>
      <labl>
        Number of male children ever born
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





P26. Male _ _
P27. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P26 and P27 -- Total children born alive
135. In these columns you must record the number of children born alive by women age 10 years or older, even if the children) is/are dead.

136. A child born alive is one who cries or who shows some other signs of life after being born.

137. Include all children who have died, even if they died shortly after birth, all children who have grown up and left the house, all children born to other men as well as to the present husband.

Do not include:
138. Children who were born dead and did not show any sign of life, adopted children, children born to the present husband by another woman, grandchildren, nephews/nieces, etc.

P26 -- Total male births
139. Ask: "Has this woman borne any children?" if the answer is "Yes", then ask:
"How many male children has she borne alive?" Write the number in column P26. Record "00" if she has not had a live male birth. Always use two digits.

P27 -- Total female births

"How many female children has she borne alive?" Write the number in column P27. Record "00" if she has not had a live female birth. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P26-27 How many children have been born alive to [the respondent] who are: 
Total ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of male children the woman has ever given birth to.
      </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="V192" name="SL2004A_0424" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="233" EndPos="234" width="2" RecSegNo="1"/>
      <labl>
        Number of female children ever born
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





P26. Male _ _
P27. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P26 and P27 -- Total children born alive
135. In these columns you must record the number of children born alive by women age 10 years or older, even if the children) is/are dead.

136. A child born alive is one who cries or who shows some other signs of life after being born.

137. Include all children who have died, even if they died shortly after birth, all children who have grown up and left the house, all children born to other men as well as to the present husband.

Do not include:
138. Children who were born dead and did not show any sign of life, adopted children, children born to the present husband by another woman, grandchildren, nephews/nieces, etc.

P26 -- Total male births
139. Ask: "Has this woman borne any children?" if the answer is "Yes", then ask:
"How many male children has she borne alive?" Write the number in column P26. Record "00" if she has not had a live male birth. Always use two digits.

P27 -- Total female births

"How many female children has she borne alive?" Write the number in column P27. Record "00" if she has not had a live female birth. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P26-27 How many children have been born alive to [the respondent] who are: 
Total ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female children the woman has ever given birth to.
      </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="V193" name="SL2004A_0425" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="235" EndPos="236" width="2" RecSegNo="1"/>
      <labl>
        Number of male children in this household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





Living in this household


P28. Male _ _
P29. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P28 -- Male children living in household
141. Ask: "How many of the male children are living in this household?" Write the answer in column P28. Record "00" if she has no male child living in the household. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




P26-27 How many children have been born alive to [the respondent] who are: 
Total ("00" No child)

[] M __
[] F __





P28-29 Living in this household (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of male children the woman has ever given birth to that still live in the same 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>
          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="V194" name="SL2004A_0426" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="237" EndPos="238" width="2" RecSegNo="1"/>
      <labl>
        Number of female children in this household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





Living in this household


P28. Male _ _
P29. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P29 -- Female children living in household
142. Ask: "How many of the female children are living in this household?" Write the answer in column P29. Record "00" if she has no female child living in the household. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P28-29 Living in this household (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female children the woman has ever given birth to that still live in the same 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>
          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="SL2004A_0427" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="239" EndPos="240" width="2" RecSegNo="1"/>
      <labl>
        Number of male children elsewhere
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





Living elsewhere


P30. Male _ _
P31. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P30 -- Male children living elsewhere
143. Ask: "How many of the male children are living elsewhere?" Write the answer in column P30. Record "00" if she has no male child living elsewhere. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P30-31 Living in elsewhere (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of male children the woman has ever given birth to that no longer live in the same 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>
          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="SL2004A_0428" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="241" EndPos="242" width="2" RecSegNo="1"/>
      <labl>
        Number of female children elsewhere
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





Living elsewhere


P30. Male _ _
P31. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P31 -- Female children living elsewhere
144. Ask: "How many of the female children are living elsewhere?" Write the answer in column P31. Record "00" if she has no female child living elsewhere. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P30-31 Living in elsewhere (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female children the woman has ever given birth to that no longer live in the same 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>
          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="SL2004A_0429" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="243" EndPos="244" width="2" RecSegNo="1"/>
      <labl>
        Number of male children dead
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





Dead


P32. Male _ _
P33. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P32 -- Male children dead
145. Ask: "How many of the male children are dead?" Write the answer in column P32. Record "00" if she has no male child dead. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P32-33 Dead (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of male children the woman has ever given birth to that are now deceased.
      </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>
          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="SL2004A_0430" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="245" EndPos="246" width="2" RecSegNo="1"/>
      <labl>
        Number of female children dead
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





Dead


P32. Male _ _
P33. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P33 -- Female children dead
146. Ask: "How many of the female children are dead?" Write the answer in column P33. Record "00" if she has no female child dead. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P32-33 Dead (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of female children the woman has ever given birth to that are now deceased.
      </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>
          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="SL2004A_0431" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="247" EndPos="247" width="1" RecSegNo="1"/>
      <labl>
        Year of last birth (in last 12 months)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P34 - P38: Females age 10 to 54 years]

Particulars of her most recent birth (last 12 months)





P34. Year _ _ _ _

P35. Month _ _

P36. Sex


[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P34 to P38 -- Particulars of [the] most recent live birth (last 12 months)
151. These columns must be completed for all women aged between 10 and 54 years of age for whom live births have been recorded.

152. If each of columns P26 to P33 contains "00", then draw a straight line across P34 to P38.




153. You must record particulars of the last child borne by the woman -- that is, in the last 12 months. You can do that by asking: "Did you bear a child in the last 12 months?" If "Yes", ask for the year and month. Record the year and the month in columns P34 and P35 respectively. If "No", record "00" in each of columns P34 and P35.

154. Some people will not know the exact date on which the last child was born. You must help determine the date and record the answer as accurately as possible. Ask for a birth certificate or an Immunisation card.

155. We are especially interested in those women whose last live birth took place during the year before the census. For births taking place in that year, it is important that you record both the year and the month.

156. Check that the date of birth shown in columns P34 and P35 agrees with the child's age as stated in column P5.




[Questions P34 - P38: Females age 10-54]




P34-35 Year/month (record as given - year in full)

Year_ _ _ _
Month _ _]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 10-54 who have ever given birth
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the year when the woman gave birth during the previous 12 month period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No response
        </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="V200" name="SL2004A_0432" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="248" EndPos="249" width="2" RecSegNo="1"/>
      <labl>
        Month of last birth (in last 12 months)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P34 - P38: Females age 10 to 54 years]

Particulars of her most recent birth (last 12 months)





P34. Year _ _ _ _

P35. Month _ _

P36. Sex


[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P34 to P38 -- Particulars of [the] most recent live birth (last 12 months)
151. These columns must be completed for all women aged between 10 and 54 years of age for whom live births have been recorded.

152. If each of columns P26 to P33 contains "00", then draw a straight line across P34 to P38.




153. You must record particulars of the last child borne by the woman -- that is, in the last 12 months. You can do that by asking: "Did you bear a child in the last 12 months?" If "Yes", ask for the year and month. Record the year and the month in columns P34 and P35 respectively. If "No", record "00" in each of columns P34 and P35.

154. Some people will not know the exact date on which the last child was born. You must help determine the date and record the answer as accurately as possible. Ask for a birth certificate or an Immunisation card.

155. We are especially interested in those women whose last live birth took place during the year before the census. For births taking place in that year, it is important that you record both the year and the month.

156. Check that the date of birth shown in columns P34 and P35 agrees with the child's age as stated in column P5.




[Questions P34 - P38: Females age 10-54]




P34-35 Year/month (record as given - year in full)

Year_ _ _ _
Month _ _]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10-54 who gave birth in last 12 months
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the month when the woman gave birth during the previous 12 month period.
      </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>
          No response
        </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="SL2004A_0433" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="250" EndPos="250" width="1" RecSegNo="1"/>
      <labl>
        Sex of the last child born (in last 12 months)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P34 - P38: Females age 10 to 54 years]

Particulars of her most recent birth (last 12 months)





P34. Year _ _ _ _

P35. Month _ _

P36. Sex


[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P34 to P38 -- Particulars of [the] most recent live birth (last 12 months)
151. These columns must be completed for all women aged between 10 and 54 years of age for whom live births have been recorded.

152. If each of columns P26 to P33 contains "00", then draw a straight line across P34 to P38.




P36 -- Sex of child
157. Ask for the sex of the child even if the child is dead. Record the answer for "Male" or 2 for "Female" in column P36.




[Questions P34 - P38: Females age 10-54]




P36 Sex

[] M
[] F]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 10-54 who gave birth in last 12 months
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the sex of the last child born to the woman during the previous 12 month period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No response
        </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="V202" name="SL2004A_0434" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="251" EndPos="251" width="1" RecSegNo="1"/>
      <labl>
        Status of the last child born (in last 12 months)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P34 - P38: Females age 10 to 54 years]

Particulars of her most recent birth (last 12 months)





P37. Is the child alive?


[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P34 to P38 -- Particulars of [the] most recent live birth (last 12 months)
151. These columns must be completed for all women aged between 10 and 54 years of age for whom live births have been recorded.

152. If each of columns P26 to P33 contains "00", then draw a straight line across P34 to P38.




P37 -- Survival of child
158. Ask: "Is the child still alive?" Record the answer 1 for "Yes" or 2 for "No" in column P37.




[Questions P34 - P38: Females age 10-54]




 P37 Is the child alive?

[] 1 Yes
[] 2 No]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 10-54 who gave birth in last 12 months
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the last child born to the woman, during the previous 12 month period, is still living.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No response
        </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="SL2004A_0435" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="252" EndPos="252" width="1" RecSegNo="1"/>
      <labl>
        Prescribed immunization status of the last child born (in last 12 months)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P34 - P38: Females age 10 to 54 years]

Particulars of her most recent birth (last 12 months)





P38. Immunization for age status


[] 1 Yes
[] 2 No
[] 3 Partial]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P34 to P38 -- Particulars of [the] most recent live birth (last 12 months)
151. These columns must be completed for all women aged between 10 and 54 years of age for whom live births have been recorded.

152. If each of columns P26 to P33 contains "00", then draw a straight line across P34 to P38.




P38 -- Immunisation of child
159. This question refers to the immunisation status of the child with reference to the age of the child. The code list provides the ages at which certain vaccines should be administered to the infant. The possible codes are 1 for "Yes", 2 for "No", and 3 for "Partial".

160. For example, if a baby under 6 weeks old has received all the prescribed vaccines, then code "1" should be used. If none have been administered, the code will be "2", and if not all, then code "3" is applicable.

[p.21]

161. Similarly, if a 12 weeks old baby has received all the vaccines he/she should have received at 10 weeks, code "1" is applicable. If none, code "2" applies, and if not all, code "3" applies.

162. Ask for the Immunisation card to assist you.




[Questions P34 - P38: Females age 10-54]




P38. Immunisation for age status:
 
At birth

 
[] BCG
[] OPV 0


6 weeks


[] 1st OPV
[] 1st DTP
[] 1st Hep B


10 weeks


[] 2nd OPV
[] 2nd DTP
[] 2nd Hep B


14 weeks


[] 3rd OPV
[] 3rd DTP
[] 3rd Hep B


9 months


[] Yellow fever and measles



[Diseases]:

Tuberculosis [BCG]
Poliomyelitis [OPV]
Diphtheria [DPT]
Whooping Cough [DPT]
Tetanus [DPT]
Hepatitis B) [Hep B]]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 10-54 who gave birth in last 12 months
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the last child born to the woman, during the previous 12 month period, has received its prescribed immunizations.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Partial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V204" name="SL2004A_0436" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="253" EndPos="254" width="2" RecSegNo="1"/>
      <labl>
        Number of children ever born
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





P26. Male _ _
P27. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P26 and P27 -- Total children born alive
135. In these columns you must record the number of children born alive by women age 10 years or older, even if the children) is/are dead.

136. A child born alive is one who cries or who shows some other signs of life after being born.

137. Include all children who have died, even if they died shortly after birth, all children who have grown up and left the house, all children born to other men as well as to the present husband.

Do not include:
138. Children who were born dead and did not show any sign of life, adopted children, children born to the present husband by another woman, grandchildren, nephews/nieces, etc.

P26 -- Total male births
139. Ask: "Has this woman borne any children?" if the answer is "Yes", then ask:
"How many male children has she borne alive?" Write the number in column P26. Record "00" if she has not had a live male birth. Always use two digits.

P27 -- Total female births

"How many female children has she borne alive?" Write the number in column P27. Record "00" if she has not had a live female birth. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P26-27 How many children have been born alive to [the respondent] who are: 
Total ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children the woman has ever given birth to.
      </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>
          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="V205" name="SL2004A_0437" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="255" EndPos="256" width="2" RecSegNo="1"/>
      <labl>
        Number of children still alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P26 - P33: Females age 10 years or older]

How many children have been born alive to [the respondent] who are:





P26. Male _ _
P27. Female _ _






Dead


P32. Male _ _
P33. Female _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P26 to P33 -- Fertility
These questions apply to all women age 10 years or older. For all males and for girls younger than 10 years, draw a straight line in each of these columns as appropriate.

134. These questions must be answered for all women age 10 years and older, irrespective of their marital status, and whatever their relationship to the head of the household.




P26 and P27 -- Total children born alive
135. In these columns you must record the number of children born alive by women age 10 years or older, even if the children) is/are dead.

136. A child born alive is one who cries or who shows some other signs of life after being born.

137. Include all children who have died, even if they died shortly after birth, all children who have grown up and left the house, all children born to other men as well as to the present husband.

Do not include:
138. Children who were born dead and did not show any sign of life, adopted children, children born to the present husband by another woman, grandchildren, nephews/nieces, etc.

P26 -- Total male births
139. Ask: "Has this woman borne any children?" if the answer is "Yes", then ask:
"How many male children has she borne alive?" Write the number in column P26. Record "00" if she has not had a live male birth. Always use two digits.

P27 -- Total female births

"How many female children has she borne alive?" Write the number in column P27. Record "00" if she has not had a live female birth. Always use two digits.




P32 -- Male children dead
145. Ask: "How many of the male children are dead?" Write the answer in column P32. Record "00" if she has no male child dead. Always use two digits.




P33 -- Female children dead
146. Ask: "How many of the female children are dead?" Write the answer in column P33. Record "00" if she has no female child dead. Always use two digits.




147. Sometimes a woman may forget to mention children who died in infancy and does not wish to be reminded of painful events; you must therefore put this question tactfully and sympathetically.

148. If a woman has never borne a child, record "00" in each of the eight columns. Similarly, if a woman has children in one or two categories only enter the numbers as appropriate and record "00" in the remaining column or columns. Never leave them blank.

149. You have to be careful when you record answers pertaining to the total number of children borne by a woman in her lifetime. The total number of children ever born by a woman will not likely exceed 17 and use that number as a guide. You must therefore probe further if the total number of children recorded for a woman in P26 and P27 exceeds 17.




[Questions P26 - P33: Females age 10 or older]




P32-33 Dead (record as given) ("00" No child)

[] M __
[] F __]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Females age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children the woman has ever given birth to that 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>
          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>
          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="V206" name="SL2004A_0438" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="257" EndPos="257" width="1" RecSegNo="1"/>
      <labl>
        Gave birth in last year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

[Questions P34 - P38: Females age 10 to 54 years]

Particulars of her most recent birth (last 12 months)





P34. Year _ _ _ _

P35. Month _ _

P36. Sex


[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Columns P34 to P38 -- Particulars of [the] most recent live birth (last 12 months)
151. These columns must be completed for all women aged between 10 and 54 years of age for whom live births have been recorded.

152. If each of columns P26 to P33 contains "00", then draw a straight line across P34 to P38.




153. You must record particulars of the last child borne by the woman -- that is, in the last 12 months. You can do that by asking: "Did you bear a child in the last 12 months?" If "Yes", ask for the year and month. Record the year and the month in columns P34 and P35 respectively. If "No", record "00" in each of columns P34 and P35.

154. Some people will not know the exact date on which the last child was born. You must help determine the date and record the answer as accurately as possible. Ask for a birth certificate or an Immunisation card.

155. We are especially interested in those women whose last live birth took place during the year before the census. For births taking place in that year, it is important that you record both the year and the month.

156. Check that the date of birth shown in columns P34 and P35 agrees with the child's age as stated in column P5.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 10-54 who have ever given birth
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the woman has given birth during the previous 12 month period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Did not give birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gave birth
        </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="V207" name="PERWT" files="F2" dcml="2" intrvl="contin">
      <location StartPos="31" EndPos="38" width="8" RecSegNo="1"/>
      <labl>
        Person weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PERWT 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), PERWT must be used to yield accurate statistics for the population.

NOTE: PERWT 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>
        PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V208" name="AWAYMALE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="117" width="2" RecSegNo="1"/>
      <labl>
        Number of own male children living elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V209" name="DISABLED" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="173" EndPos="173" 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>
        DISABLED 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="V210" name="LASTBSEX" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Sex of last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LASTBSEX indicates the sex of a woman's most recent birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Both sexes (multiple births)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V211" name="HOMEMALE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="111" width="2" RecSegNo="1"/>
      <labl>
        Number of own male children in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HOMEMALE indicates the number of male children born living in the household with their mother (the respondent).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </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="V212" name="YRSCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="147" EndPos="148" 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[YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL 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 EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2.

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="V213" name="EDATTAIN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="143" 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[EDATTAIN 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. 

EDATTAIN 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.  EDATTAIN 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 EDATTAIN, 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 YRSCHOOL.   Some samples provide educational information in a form that could not be incorporated into EDATTAIN.]]>
      </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="V214" name="EDATTAIND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="146" 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[EDATTAIN 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. 

EDATTAIN 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.  EDATTAIN 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 EDATTAIN, 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 YRSCHOOL.   Some samples provide educational information in a form that could not be incorporated into EDATTAIN.]]>
      </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="V215" name="RELIGION" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" 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>
        RELIGION 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="V216" name="RELIGIOND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="133" 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>
        RELIGION 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>
          6401
        </catValu>
        <labl>
          Other Christian, Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6402
        </catValu>
        <labl>
          Armenia apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6403
        </catValu>
        <labl>
          Nestorian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6404
        </catValu>
        <labl>
          Molokai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6406
        </catValu>
        <labl>
          Other Christian, Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6408
        </catValu>
        <labl>
          Christian Community
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6409
        </catValu>
        <labl>
          Free Brothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6410
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6411
        </catValu>
        <labl>
          Church of God of Prophecy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6412
        </catValu>
        <labl>
          New testament
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6414
        </catValu>
        <labl>
          God is love
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6415
        </catValu>
        <labl>
          Universal Church of the Kingdom of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6416
        </catValu>
        <labl>
          People of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6417
        </catValu>
        <labl>
          Family worship center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6418
        </catValu>
        <labl>
          Pseudo-Christian groups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6419
        </catValu>
        <labl>
          Other Christian, Paraguay
        </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>
          7159
        </catValu>
        <labl>
          Other, Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7160
        </catValu>
        <labl>
          Pagan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Shar-fadinian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Other, Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Other, Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Other, Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Philosophical revelations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7167
        </catValu>
        <labl>
          Indigenous religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7168
        </catValu>
        <labl>
          Reyukai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7169
        </catValu>
        <labl>
          Other, Paraguay
        </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="V217" name="ETHNICSL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="135" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity, Sierra Leone
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ETHNICSL indicates the person's ethnicity (for Sierra Leoneans) or nationality (for non-Sierra Leoneans).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Krio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Madingo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sherbro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kissi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Susu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Fullah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yalunka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Koranko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Vai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V218" name="SPEAKENG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="136" 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>
        SPEAKENG 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="V219" name="MTONGSL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="140" width="2" RecSegNo="1"/>
      <labl>
        Mother tongue, Sierra Leone
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MTONGSL indicates indicates the primary language spoken by the individual -- the main language they learned in childhood.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Krio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mende
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Madingo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Loko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sherbro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kissi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Kono
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Susu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Fullah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Krim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yalunka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Koranko
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Vai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="BPLCOUNTRY" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="123" width="5" RecSegNo="1"/>
      <labl>
        Country of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLCOUNTRY indicates the person's country of birth.
      </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>
          11051
        </catValu>
        <labl>
          Ethiopia (including Eritrea)
        </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>
          11990
        </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>
          12990
        </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
        </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>
          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>
          14990
        </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>
          15021
        </catValu>
        <labl>
          Upper Volta
        </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>
          15081
        </catValu>
        <labl>
          Guinea-Bissau and Cape Verde
        </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>
          15990
        </catValu>
        <labl>
          West Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19990
        </catValu>
        <labl>
          Africa, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19991
        </catValu>
        <labl>
          Central and South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19992
        </catValu>
        <labl>
          East and Central Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19993
        </catValu>
        <labl>
          Southeastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19994
        </catValu>
        <labl>
          Saharan Africa
        </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>
          21990
        </catValu>
        <labl>
          Other Caribbean and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21991
        </catValu>
        <labl>
          Caribbean commonwealth, 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>
          23990
        </catValu>
        <labl>
          South America, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23991
        </catValu>
        <labl>
          South America or Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23992
        </catValu>
        <labl>
          Central/South America and Caribbean
        </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>
          24990
        </catValu>
        <labl>
          North America, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24991
        </catValu>
        <labl>
          North America/Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29990
        </catValu>
        <labl>
          Americas, other and 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>
          31990
        </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>
          32042
        </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>
          32101
        </catValu>
        <labl>
          Pakistan/Bangladesh
        </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>
          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>
          33990
        </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>
          34071
        </catValu>
        <labl>
          Israel/Palestine
        </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>
          Palestinian Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34111
        </catValu>
        <labl>
          West Bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34112
        </catValu>
        <labl>
          Gaza Strip
        </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>
          34990
        </catValu>
        <labl>
          Western Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34991
        </catValu>
        <labl>
          Middle East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39990
        </catValu>
        <labl>
          Asia, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39991
        </catValu>
        <labl>
          Central Asia and Middle East, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39992
        </catValu>
        <labl>
          Far East, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39993
        </catValu>
        <labl>
          Eastern/Southeast Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39994
        </catValu>
        <labl>
          Asia/Middle East, other and 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>
          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>
          41990
        </catValu>
        <labl>
          Eastern Europe, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41991
        </catValu>
        <labl>
          Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41992
        </catValu>
        <labl>
          Central-Eastern Europe
        </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>
          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 City
        </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>
          43121
        </catValu>
        <labl>
          Spain/Portugal
        </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>
          43144
        </catValu>
        <labl>
          Kosovo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43990
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43991
        </catValu>
        <labl>
          Gibraltar/Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43992
        </catValu>
        <labl>
          Portugal/Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43993
        </catValu>
        <labl>
          Italy, Holy See, San Marino
        </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>
          Belgium/Netherlands/Luxemburg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44041
        </catValu>
        <labl>
          Germany/Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44042
        </catValu>
        <labl>
          West 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>
          44990
        </catValu>
        <labl>
          Western Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44991
        </catValu>
        <labl>
          Belgium, Denmark, Luxembourg, Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49991
        </catValu>
        <labl>
          Turkey and U.S.S.R.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49992
        </catValu>
        <labl>
          European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49993
        </catValu>
        <labl>
          European Union (Original 15)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49994
        </catValu>
        <labl>
          Other European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49995
        </catValu>
        <labl>
          EEA, Switzerland, associated microstates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49999
        </catValu>
        <labl>
          Europe, other and 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.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>
          53990
        </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>
          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>
          54990
        </catValu>
        <labl>
          Polynesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55000
        </catValu>
        <labl>
          U.S. Pacific Possessions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55010
        </catValu>
        <labl>
          American Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55020
        </catValu>
        <labl>
          Baker Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55030
        </catValu>
        <labl>
          Guam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55040
        </catValu>
        <labl>
          Howland Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55050
        </catValu>
        <labl>
          Johnston Atoll
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55060
        </catValu>
        <labl>
          Kingman Reef
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55070
        </catValu>
        <labl>
          Midway Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55080
        </catValu>
        <labl>
          Wake Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55990
        </catValu>
        <labl>
          Other US Pacific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59990
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          OTHER ABROAD
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60100
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60200
        </catValu>
        <labl>
          Africa/Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60300
        </catValu>
        <labl>
          Central/South America or Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60400
        </catValu>
        <labl>
          Asia/Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60500
        </catValu>
        <labl>
          Europe, Australia, New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60600
        </catValu>
        <labl>
          Other commonwealth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60700
        </catValu>
        <labl>
          Asia, Australia, Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69900
        </catValu>
        <labl>
          Other countries, not specified
        </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="V221" name="BIRTHSLYR" 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>
        BIRTHSLYR 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="V222" name="BIRTHSURV" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        Children surviving from births last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </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="V223" name="HOMECHILD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        Number of own children in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census.
      </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>
          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="V224" name="AWAYCHILD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="113" width="2" RecSegNo="1"/>
      <labl>
        Number of own children living elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census.
      </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>
          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="V225" name="NATIVITY" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="118" EndPos="118" width="1" RecSegNo="1"/>
      <labl>
        Nativity status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NATIVITY indicates whether the person was native- or foreign-born.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Native-born
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Foreign-born
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="CHDEADFEM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        Number of female children dead
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted.

It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="CHDEADMALE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="103" width="2" RecSegNo="1"/>
      <labl>
        Number of male children dead
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHDEADMALE indicates the number of male children ever born to a woman who are no longer living.  Stillbirths are not counted.

It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </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">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" 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 Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V229" name="SAMPLEP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="9" EndPos="17" width="9" 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 9-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="SERIAL" files="F2" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="27" 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 Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V231" name="COUNTRYP" 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 Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V232" 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 Person Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
