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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          First National Population Census of the Kyrgyz Republic
        </titl>
        <IDNo>
          DDI_WBG_KGZ_1999_PHC_v01_M_v03_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="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="OECD/DCD-PARIS21" role="Project funder">
          Organization for Economic Co-operation and Development, Development Co-operation Directorate
        </fundAg>
        <grantNo>
          JADE#:60525;MEHLB(2010)12
        </grantNo>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 6.4 (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>
          First National Population Census of the Kyrgyz Republic 1999 - IPUMS Subset
        </titl>
        <altTitl>
          PHC 1999 (IPUMS Harmonized Subset)
        </altTitl>
        <IDNo>
          WBG_KGZ_1999_PHC_v01_M_v03_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          National Statistical Committee of the Kyrgyz Republic
        </AuthEnty>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) Copyright 1999, National Statistical Committee of the Kyrgyz Republic and Minnesota Population Center
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact>
          National Statistical Committee of the Kyrgyz Republic
        </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">
          Group Quarters Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: Global Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Utilities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Dwelling Characteristics Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Technical Person Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Family Interrelationship Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Demographic Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fertility and Mortality Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Nativity and Birthplace Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Ethnicity and Language Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Education Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Migration Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Other Person Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: A-L Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Household Economic Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Income Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Industry Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Occupation 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="1999-03-24" event="start"/>
        <timePrd date="1999-03-24" event="end"/>
        <collDate date="1999-03-24" event="start"/>
        <collDate date="1999-03-24" event="end"/>
        <nation abbr="KGZ">
          Kyrgyz Republic
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <geogUnit>
          District
        </geogUnit>
        <anlyUnit>
          <![CDATA[Households and persons

UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: Homeless people, temporarily absent persons, and temporary residents

UNIT DESCRIPTIONS:
- Dwellings: Housing stock are living quarters irrespective of ownership, including residential buildings, special houses (like hostels, houses for lonely and old people, children's homes, boarding houses for disabled, school hostels and boarding school), flats, service housings, other living accomodations in other buildings suited for living.
- Households: A group of people sharing the same housing unit (or one person living alone), jointly keeping the house, i.e. fully or partially pooling their individual budgets for common expenditures for food and daily living needs or having a common budget who may or may not be related by kinship.
- Group quarters: Groups of people living at the same institution (housing unit), sharing meals, without having individual budgets or common consumer expenditures, subject to the same general rules, and usually unelated by kinship.]]>
        </anlyUnit>
        <universe>
          All population inside the country, including private and institutional households and their housing conditions
        </universe>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          <![CDATA[MICRODATA SOURCE: National Statistical Committee of the Kyrgyz Republic

SAMPLE DESIGN: 20% sample drawn by the country: systematic sample of every 5th household or every 5th individual in collective household
10% sample drawn by MPC from the 20% sample: systematic sample of every 2nd household

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 476,886 (persons in private and selected households only)]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          There are two forms: "List of residents and their housing conditions" (Form 1) and "Census questionnaire" (Form 2).
        </resInstru>
        <sources/>
        <collSitu>
          De jure, CENSUS DAY: March 24, 1999, FIELD WORK PERIOD: March 24-31, 1999
        </collSitu>
        <actMin>
          Direct interview
        </actMin>
        <weight>
          Self-weighted. Expansion factor = 10.
        </weight>
      </dataColl>
      <anlyInfo>
        <respRate>
          COVERAGE: 100%
        </respRate>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.

To gain access to the data, a researcher must agree to the following:

(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.

(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.

(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.

(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.

Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.

These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.

IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:

(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.

(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.

(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)

(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.

The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.]]>
        </confDec>
        <contact affiliation="Minnesota Population Center" URI="http://international.ipums.org">
          IPUMS International
        </contact>
        <citReq>
          <![CDATA[Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [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:
Kyrgyz Republic, National Statistical Committee of the Kyrgyz Republic, First National Population Census of the Kyrgyz Republic

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_KGZ_1999_PHC_v01_M_v03_A_IPUMS.Nesstar?Index=0&amp;Name=KGZ1999-H-H">
    <fileTxt>
      <fileName>
        KGZ1999-H-H.NSDstat
      </fileName>
      <fileCont>
        Household records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2" keyvar="V4"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          60
        </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_KGZ_1999_PHC_v01_M_v03_A_IPUMS.Nesstar?Index=1&amp;Name=KGZ1999-P-H">
    <fileTxt>
      <fileName>
        KGZ1999-P-H.NSDstat
      </fileName>
      <fileCont>
        Person records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V61 V172"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          114
        </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="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="V3" 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="V4" 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="V5" 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="V6" 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="V7" 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="V8" 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="V9" 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="V10" 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="V11" name="WATSUP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="78" 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="V12" name="SEWAGE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Sewage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEWAGE indicates whether the household has access to a sewage system or septic tank.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Connected to sewage system or septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sewage system (public sewage disposal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Septic tank (private sewage disposal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not connected to sewage disposal system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="PHONE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="81" 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="V14" name="ROOMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="84" 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="V15" name="BATH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" 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="V16" name="HHTYPE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        Household classification
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHTYPE is a constructed variable that describes the composition of households. 
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One-person household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married/cohab couple, no children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married/cohab couple with children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Polygamous family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Extended family, relatives only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Composite household, family and non-relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Non-family household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unclassified subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other relative or non-relative household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unclassifiable
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="NFAMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Number of families in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.  

NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).  See those variable descriptions for more detail.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more families
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="HEADLOC" files="F1" dcml="0" intrvl="contin">
      <location StartPos="95" EndPos="97" 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="V19" 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="V20" name="KG1999A_0001" files="F1" dcml="0" intrvl="contin">
      <location StartPos="98" EndPos="103" 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>
        This variable indicates the 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="V21" name="KG1999A_0006" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="105" 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="26"/>
      </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 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>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="KG1999A_0016" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="106" width="1" RecSegNo="1"/>
      <labl>
        Dwelling created by splitting apart a collective or large household
      </labl>
      <qstn>
        <qstnLit>
          Dwelling created by splitting apart a collective or large household
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling was created by splitting apart a collective or large household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="KG1999A_0018" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="107" width="1" RecSegNo="1"/>
      <labl>
        Donated dwelling
      </labl>
      <qstn>
        <qstnLit>
          Donated dwelling
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the donated dwelling.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Donated
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="KG1999A_0019" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="108" width="1" RecSegNo="1"/>
      <labl>
        Donation strata: strata number
      </labl>
      <qstn>
        <qstnLit>
          Donation strata: strata number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the donation strata: strata number.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="KG1999A_0029" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="109" width="1" RecSegNo="1"/>
      <labl>
        Urban or rural
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
The List of Dwellers and their Housing Conditions
____ No
____ Oblast
____ Urban settlement
____ Rayon (rural)
____ Urban rayon
____ Aiyl-kenesh
____ Name or number of urban micro-rayon, residential area (agglomerations of new houses)
____ Name of rural settlement
____ Avenue, street
____ No. of house
____ No. of flat
____ Name of owner
____ Establishment]]>
        </qstnLit>
      </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 resides in the urban or rural area.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="KG1999A_0034" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="110" width="1" RecSegNo="1"/>
      <labl>
        Owner of residential premises
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
3-7 for households permanently living in a premise

3p. Those who do not own a premise please indicate: Who is the owner of a residential premise?

[] 1 Individuals
[] 2 State
[] 3 Communal
[] 4 Other type of ownership
[] 5 Rent a premise from other individuals
[] 6 Homeless]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 3p. Who is the owner of the dwelling?

When completing the answer to this question, the enumerator is to circle the code corresponding to one of prompts given. If households live in dwellings owned by citizens on a private property basis (privatized, built or acquired flats and houses, flats in housing cooperatives with fully paid equity contribution, flats in cooperatives of individual investors, flats and houses acquired on other terms), code 1 "individuals on a private property basis" is to be circled.

If a household lives in a dwelling which is owned by the Kyrgyz Republic or is under economic control or operational administration of government enterprises or institutions, code 2 "state ownership" is to be circled.

If a household lives in a dwelling related to communal property (owned by local government), which is under economic control or operational administration of communal enterprises, code 3 "communal ownership" is to be circled.

If households live in dwellings owned by legal entities (organized as private owners), built or bought at their expense, including at the expense of housing cooperatives with incompletely paid equity contribution, code 4 "other ownership" is to be circled.

In cases when a household rents a dwelling from persons living in detached houses, flats or rooms, code 5 "rents dwelling from individuals" is to be marked.

Code 6 is to be marked for homeless (tramps). Other questions of section II of the List of residents are neither asked of these persons nor completed.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the owner of residential premises.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Individuals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other type of ownership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rent a premise of other individuals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="KG1999A_0035" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        Houses and flats occupied by household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
4p. Houses and flats occupied by household ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 4p. The number of houses (flats) occupied by household

Completing this question, the enumerator is to enter in an especially dedicated box the number (e.g. 1, 2, 3, etc.) of residential houses or flats actually occupied by the household.

In this connection, it should be noted that residential houses (flats) adapted for production premises (offices, stores, workshops, warehouses, shop floors, and other non-residential premises) are not included in the number of residential houses or flats.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of houses and flats occupied by 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>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="KG1999A_0036" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="115" width="3" RecSegNo="1"/>
      <labl>
        Number of occupied living rooms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
5p. The number of occupied living rooms _ _

[] 99 part of room]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 5p. The number of occupied living rooms

Completing this question, the enumerator is to enter in a specially dedicated box the number (e.g. 1, 2, 3, etc.) of living rooms occupied by the household.

In this connection, it should be noted that the living room is a premise intended for residence: part of a residential flat (hostel) separated from other premises (rooms) by partitions.

Attics, mezzanines, heated terraces and verandahs equipped for habitation the year round are to be included in the number of living rooms.

The number of living rooms does not cover: kitchens, halls, corridors, bath (or shower) rooms, storerooms, balconies, loggias, and other subsidiary premises.

If a household does not occupy the whole room, but only its part, code 99 "part of room" is to be marked.

If a household occupies two or more rooms, but some of those gives in rent, the total number of living rooms (including those rented) is to be recorded.

If a household rents living space, also the actual number of rooms or "part of room" (code 99) occupied is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of occupied living rooms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Part of room
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="KG1999A_0037" files="F1" dcml="0" intrvl="contin">
      <location StartPos="116" EndPos="118" width="3" RecSegNo="1"/>
      <labl>
        Surface area of occupied premise in square meters
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
6p. Size of area of an occupied premise (m2)

a) Surface_ _ _
b) Residential _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 6p. Floor space of the dwelling occupied (sq. m)

Completing the answer to this question, the enumerator is to record in a special box in integer numbers (without decimal digits) the number of square meters of useful and living floor space occupied by the household.

To round fractional space to integer numbers the following rules are to be observed: if there are five or more tenths after the decimal sign, then one is to be added to the integer part, if less than five tenths, then the fractional part is to be discarded. (e.g., numbers 23.50 or 23.51 are to be rounded to 24, but 23.49 to 23).

Useful floor space in a detached house, separate or common (communal) flat is determined as the sum of floor areas of all living rooms (including heated and appropriate for habitation attics, verandahs, terraces) and back rooms (kitchens, halls, anterooms, indoor corridors, bath (shower) rooms, toilets, pantries or built-in closets).
Herewith in common (communal) flats the useful space of the whole flat is by convention to be only recorded for one household, which is specified first within this flat.

Useful floor space falling on residents in hostels is measured as the sum of the living space occupied by a household and its share of the back rooms space of the hostel. This part is calculated for one person by dividing the whole space of backrooms of the hostel by the number of beds. E.g., the floor space of backrooms in a hostel is 500 sq. m. and the number of beds is 100. In this case the share of the backroom space for one person is 5 sq. m.

The useful floor space does not include:

staircases, porches, lift lobbies, vestibules, corridors (excluding inner corridors), entrance halls;
built-on unheated rooms (terraces, verandahs, balconies, loggias, attics, mezzanines);
detached summer kitchens, bathhouses, sheds, pavilions, etc.


Living floor space includes the space of all living rooms occupied by a household excluding the space of built-in closets.

If a household occupies part of room, the space of this part is to be recorded (e.g., if the room is 24 sq. m in area and is occupied by two households consisting of 1 person and two persons, then 8 sq. m and 16 sq. m fall on each household respectively).

If a household gives part of the space occupied in rent, the total space, both useful and living, including that rented, is to be recorded for it.

If a household rents dwelling, the enumerator is also to record for it the actually occupied useful and living space.]]>
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the surface area of occupied premise in square meters.
      </txt>
      <codInstr>
        <![CDATA[KG99A037 is a 3-digit numeric variable.

		
998 = Unknown.
999 = NIU.]]>
      </codInstr>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="KG1999A_0038" files="F1" dcml="0" intrvl="contin">
      <location StartPos="119" EndPos="121" width="3" RecSegNo="1"/>
      <labl>
        Size of residential area of an occupied premise in square meters
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
6p. Size of area of an occupied premise (m2)

a) Surface_ _ _
b) Residential _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 6p. Floor space of the dwelling occupied (sq. m)

Completing the answer to this question, the enumerator is to record in a special box in integer numbers (without decimal digits) the number of square meters of useful and living floor space occupied by the household.

To round fractional space to integer numbers the following rules are to be observed: if there are five or more tenths after the decimal sign, then one is to be added to the integer part, if less than five tenths, then the fractional part is to be discarded. (e.g., numbers 23.50 or 23.51 are to be rounded to 24, but 23.49 to 23).

Useful floor space in a detached house, separate or common (communal) flat is determined as the sum of floor areas of all living rooms (including heated and appropriate for habitation attics, verandahs, terraces) and back rooms (kitchens, halls, anterooms, indoor corridors, bath (shower) rooms, toilets, pantries or built-in closets).
Herewith in common (communal) flats the useful space of the whole flat is by convention to be only recorded for one household, which is specified first within this flat.

Useful floor space falling on residents in hostels is measured as the sum of the living space occupied by a household and its share of the back rooms space of the hostel. This part is calculated for one person by dividing the whole space of backrooms of the hostel by the number of beds. E.g., the floor space of backrooms in a hostel is 500 sq. m. and the number of beds is 100. In this case the share of the backroom space for one person is 5 sq. m.

The useful floor space does not include:

staircases, porches, lift lobbies, vestibules, corridors (excluding inner corridors), entrance halls;
built-on unheated rooms (terraces, verandahs, balconies, loggias, attics, mezzanines);
detached summer kitchens, bathhouses, sheds, pavilions, etc.


Living floor space includes the space of all living rooms occupied by a household excluding the space of built-in closets.

If a household occupies part of room, the space of this part is to be recorded (e.g., if the room is 24 sq. m in area and is occupied by two households consisting of 1 person and two persons, then 8 sq. m and 16 sq. m fall on each household respectively).

If a household gives part of the space occupied in rent, the total space, both useful and living, including that rented, is to be recorded for it.

If a household rents dwelling, the enumerator is also to record for it the actually occupied useful and living space.]]>
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the size of residential area of an occupied premise in square meters.
      </txt>
      <codInstr>
        <![CDATA[KG99A038 is a 3-digit numeric variable.

		
998 = Unknown.
999 = NIU.]]>
      </codInstr>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="KG1999A_0039" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" width="1" RecSegNo="1"/>
      <labl>
        Telephone
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
7p. Telephone

[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 7p. Availability of telephone

For households living in a detached house, separate or common (communal) flat the code corresponding to one of prompts given is to be circled.

If a telephone set for personal or common use is installed within an individual house, separate or common (communal) flat, code 1 "Yes" is to be circled. If a coupled telephone or radiotelephone is available, also code 1 "Yes" is to be circled. In all other cases code 2 "No" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has a telephone.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="KG1999A_0040" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="124" width="2" RecSegNo="1"/>
      <labl>
        Number of the first member of a household within a premise
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[ 
No. of the first member of a household within a premise (from group 1 of the list) ____]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="48"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of the person in the list of dwellers.
      </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>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="KG1999A_0042" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="127" width="3" RecSegNo="1"/>
      <labl>
        Number of occupied living rooms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
5p. The number of occupied living rooms _ _

[] 99 part of room]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 5p. The number of occupied living rooms

Completing this question, the enumerator is to enter in a specially dedicated box the number (e.g. 1, 2, 3, etc.) of living rooms occupied by the household.

In this connection, it should be noted that the living room is a premise intended for residence: part of a residential flat (hostel) separated from other premises (rooms) by partitions.

Attics, mezzanines, heated terraces and verandahs equipped for habitation the year round are to be included in the number of living rooms.

The number of living rooms does not cover: kitchens, halls, corridors, bath (or shower) rooms, storerooms, balconies, loggias, and other subsidiary premises.

If a household does not occupy the whole room, but only its part, code 99 "part of room" is to be marked.

If a household occupies two or more rooms, but some of those gives in rent, the total number of living rooms (including those rented) is to be recorded.

If a household rents living space, also the actual number of rooms or "part of room" (code 99) occupied is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of occupied living rooms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Part of room
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="KG1999A_0044" files="F1" dcml="0" intrvl="contin">
      <location StartPos="128" EndPos="130" width="3" RecSegNo="1"/>
      <labl>
        Size of residential area of an occupied premise in square meters
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
6p. Size of area of an occupied premise (m2)

a) Surface_ _ _
b) Residential _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 6p. Floor space of the dwelling occupied (sq. m)

Completing the answer to this question, the enumerator is to record in a special box in integer numbers (without decimal digits) the number of square meters of useful and living floor space occupied by the household.

To round fractional space to integer numbers the following rules are to be observed: if there are five or more tenths after the decimal sign, then one is to be added to the integer part, if less than five tenths, then the fractional part is to be discarded. (e.g., numbers 23.50 or 23.51 are to be rounded to 24, but 23.49 to 23).

Useful floor space in a detached house, separate or common (communal) flat is determined as the sum of floor areas of all living rooms (including heated and appropriate for habitation attics, verandahs, terraces) and back rooms (kitchens, halls, anterooms, indoor corridors, bath (shower) rooms, toilets, pantries or built-in closets).
Herewith in common (communal) flats the useful space of the whole flat is by convention to be only recorded for one household, which is specified first within this flat.

Useful floor space falling on residents in hostels is measured as the sum of the living space occupied by a household and its share of the back rooms space of the hostel. This part is calculated for one person by dividing the whole space of backrooms of the hostel by the number of beds. E.g., the floor space of backrooms in a hostel is 500 sq. m. and the number of beds is 100. In this case the share of the backroom space for one person is 5 sq. m.

The useful floor space does not include:

staircases, porches, lift lobbies, vestibules, corridors (excluding inner corridors), entrance halls;
built-on unheated rooms (terraces, verandahs, balconies, loggias, attics, mezzanines);
detached summer kitchens, bathhouses, sheds, pavilions, etc.


Living floor space includes the space of all living rooms occupied by a household excluding the space of built-in closets.

If a household occupies part of room, the space of this part is to be recorded (e.g., if the room is 24 sq. m in area and is occupied by two households consisting of 1 person and two persons, then 8 sq. m and 16 sq. m fall on each household respectively).

If a household gives part of the space occupied in rent, the total space, both useful and living, including that rented, is to be recorded for it.

If a household rents dwelling, the enumerator is also to record for it the actually occupied useful and living space.]]>
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the residential area of an occupied premise in square meters.
      </txt>
      <codInstr>
        This is a 3-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="KG1999A_0045" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="131" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
1p. Type of dwelling

[] 1 Individual house
[] 2 Part of individual house
[] 3 Separate flat
[] 4 Common (communal) flat
[] 5 Hostel
[] 6 Home for the old and disabled, children's home etc.
[] 7 Other institutional establishments
[] 8 Hotel
[] 9 Other residential premise
[] 10 Non-residential premise used for living]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 1p. Type of dwelling

Completing the answer to this question the enumerator is to circle the code corresponding to one of prompts given.
Dwelling house is a permanent building for one, two or more flats intended for a long durability.

If one household occupies the whole one-flat house (irrespective of ownership), code 1 "individual (detached) house" is to be circled.

If two or more households live in such a house, code 2 "part of individual house" is to be circled for each household (even if the house is owned by one householder).

If the house comprises two or more flats, codes "separate flat" or "common (communal) flat" are to be marked according with the occupancy.

If one household occupies a separate flat, code 3 "separate flat" is to be circled.
Separate flat is considered a dwelling used and equipped for permanent residence, which consists of one or more living rooms separated from other rooms by main walls and has a separate exit to the staircase, common hall or passage or directly to the street or yard, if it is occupied by one household.

If more than one household live in a flat, code 4 "common (communal) flat" is to be marked (even in case of one tenancy account for the flat). This code is also used for households living in barracks and corridor-type houses which are not related to hostels.

If a household lives in an individual house or separate flat, but only occupies part of the floor space of the house or flat and gives the other part in rent, this household is considered to live in individual house or separate flat.

For households living in hostels for workers, clerks, students and pupils (irrespective of the type of building: flat-, corridor-, section- or barrack-type) code 5 "hostels" is to be marked.

Code 6 "boarding house for the aged and disables, infant house, children's home, etc." is to be circled for those aged, disabled and children in infant houses, children's homes, boarding schools for orphans and children left without parental care, etc.

Code 7 "other institutions" is to be marked for those living in barracks, prisons, monasteries, and other similar institutions.

For persons living in hotels, guest houses or motels code 8 "hotel" is to be marked.

If a household lives in a yurt, tent, van, hut or other similar building, code 9 "other residential premise" is to be marked.

Persons living in non-residential premises (garages, pantries, classrooms, kiosks, working rooms of institutions), stock buildings (farms) code 10 "non-residential premise used for living" is to be marked.]]>
        </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 type of dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Individual house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part of individual house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separate flat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Common (communal) flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Hostel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Home for the old and disabled, children's home, etc.
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="KG1999A_0046" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="132" width="1" RecSegNo="1"/>
      <labl>
        Electricity
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has electricity.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="KG1999A_0047" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        Electric stove
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has electric stove.
      </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">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="KG1999A_0048" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="134" width="1" RecSegNo="1"/>
      <labl>
        Network gas
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has a floor gas stove connected to the network.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="KG1999A_0049" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        Liquefied gas (bottled)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has a floor gas stove connected to the gas bottle.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="KG1999A_0050" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="136" width="1" RecSegNo="1"/>
      <labl>
        Heating from heating plant, rayon boiler-houses
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has heating from heating plant, rayon boiler-houses.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="KG1999A_0051" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="137" width="1" RecSegNo="1"/>
      <labl>
        Heating from boilers
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has heating from boilers.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="KG1999A_0052" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Heating from individual stoves
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has heating from individual stoves.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="KG1999A_0053" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="139" width="1" RecSegNo="1"/>
      <labl>
        Running water
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has running water.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="KG1999A_0054" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Sewage
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has a sewage installation inside the house.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="KG1999A_0055" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="141" width="1" RecSegNo="1"/>
      <labl>
        Bath or shower
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has bathroom or a shower room.
      </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">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="KG1999A_0056" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="142" width="1" RecSegNo="1"/>
      <labl>
        Central hot water supply
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has central hot water supply.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="KG1999A_0057" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="143" width="1" RecSegNo="1"/>
      <labl>
        Hot water supply from individual water-boilers
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has hot water supply from individual water-boilers.
      </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">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="KG1999A_0058" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="144" width="1" RecSegNo="1"/>
      <labl>
        No facilities
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2p. Facilities

[] 01 Electricity
[] 02 Electric stove
[] 03 Network gas
[] 04 Liquefied gas (bottled)
[] 05 Heating from heating plants, rayon boiler houses
[] 06 Heating from boilers
[] 07 Heating from individual stoves
[] 08 Running water
[] 09 Sewage
[] 10 Bath or shower
[] 11 Central hot water supply
[] 12 Hot water supply from individual water-boilers
[] 13 No facilities]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2p. Facilities of dwelling

When answering to this question, the enumerator is to circle one or several codes corresponding to prompts provided.

A dwelling is considered to be equipped with:

electric lighting if there is electric wiring available;
electric floor stove if there is an electric floor stove available. A house with a detached kitchen (capital building specially intended for kitchen) with an electric floor stove installed therein is also considered equipped with electric floor stove;
network gas (natural), if there is a floor gas stove connected to the network;
liquefied (bottled) gas, if there is a floor gas stove connected to the gas bottle;
A house with a separate kitchen with a gas floor stove installed therein is also considered equipped with gas.
It should be noted that premises with table electric or gas cooking appliances or trivets are not considered equipped with floor electric or gas stoves.
heating from heating plant, district boiler-house if there is heating from a heating plant or collective (block of houses), district or building boiler-house available;
heating from individual boilers if there are local small heating installations, heaters (radiators) or electric, gas, coal-fired, and oil-fired boilers, as well as other modern heating units;
stove heating if heat is supplied from one or several stoves;
running water if there is a supply net within the house, to which water is supplied centrally from the water pipe or artesian well the year round;


A house with a separate kitchen is also considered equipped with running water if a water tap connected to the water supply net is installed in the kitchen.

A house is not considered equipped with running water if there is a hydrant (a water pump) in the yard, but there is no water supply to the house.

sewage if there is a sewage installation inside the house for draining household and black waters to the street sewage net or adsorption wells. A dwelling is not considered equipped with sewage if there is no piped water or if it is equipped with a dry toilet;
bath or shower if a bath or shower is installed both in a separate bathroom and in the other specially adapted room, irrespective of the way of hot water supply;
A dwelling, in which a bath (shower) is installed but there is no sewage available, is not to be considered equipped with bath or shower.
central hot water supply if there is a special central hot water supply intended for daily living needs of residents;
hot water from individual boilers if there is a special water pipe supplying hot water from gas (or wood) water heaters, flat heaters including heating boilers of low capacity for daily living needs of residents.

If one or another facility of a dwelling is temporarily idle (because of repair, damage or other reasons), the dwelling is to be considered equipped with these types of facilities.

If there is none of the above-mentioned facilities in a dwelling, code 13 "no facilities" is to be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Households, excluding institutions
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has no facilities asked in the census questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No facilities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Has facilities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="KG1999A_0059" files="F1" dcml="0" intrvl="contin">
      <location StartPos="145" EndPos="149" width="5" 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 5-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" 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="V51" name="GEO1_KG" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Kyrgyz Republic, Region 1999 - 2009 [Level 1; consistent boundaries, GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="417001" max="417008"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1_KG identifies the household's region (oblast) or city (shaar) within the Kyrgyz Republic in all sample years. Regions or cities are the first level administrative units of the country. GEO1_KG is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_KG can be downloaded from the GIS Boundary files page in the IPUMS International web site.

The full set of geography variables for Kyrgyz Republic 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 Kyrgyz Republic. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.]]>
      </txt>
      <catgry>
        <catValu>
          417001
        </catValu>
        <labl>
          Gorkenesh Bishkek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417002
        </catValu>
        <labl>
          Issyk-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417003
        </catValu>
        <labl>
          Dzhalal-Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417004
        </catValu>
        <labl>
          Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417005
        </catValu>
        <labl>
          Batken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417006
        </catValu>
        <labl>
          Oshskaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417007
        </catValu>
        <labl>
          Talasskaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417008
        </catValu>
        <labl>
          Chuya
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="GEO2_KGX" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Kyrgyz Republic, District 1999 - 2009 [Level 2; inconsistent boundaries, harmonized by name]
      </labl>
      <valrng>
        <range UNITS="REAL" min="2205" max="11999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO2_KGX identifies the district (rayon) within the Kyrgyz Republic in all sample years. Districts are the second level administrative units of the country, after states. GEO2_ KGX is harmonized by name and does not account for boundary changes over time.

The full set of geography variables for the Kyrgyz Republic 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 the Kyrgyz Republic. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.]]>
      </txt>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Ak-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Dzheti-Oguz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Issyk Kul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Tonsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2225
        </catValu>
        <labl>
          Tyup district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          City of Karakol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          City of Balykchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Ala-Bukin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Bazar-Korgon district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Aksyi district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3215
        </catValu>
        <labl>
          Nooken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Suzak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Toguz-Torouz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3225
        </catValu>
        <labl>
          Toktogul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Chatkalsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          City of Kok-Yangak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          City of Dzhalal Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3420
        </catValu>
        <labl>
          City of Tash-Kumyr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3430
        </catValu>
        <labl>
          City of MaiLuu-Suu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          City of Kara-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Ak-Talin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          At-Bashin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4230
        </catValu>
        <labl>
          Dzhumgal district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4235
        </catValu>
        <labl>
          Kochkor district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4245
        </catValu>
        <labl>
          Naryn oblast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4249
        </catValu>
        <labl>
          Tien Shan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          City of Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5214
        </catValu>
        <labl>
          Batken Rayon, City of Kenesh Batken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5236
        </catValu>
        <labl>
          Liailiak Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5258
        </catValu>
        <labl>
          Kadamjai Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5420
        </catValu>
        <labl>
          City of Suliukta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5430
        </catValu>
        <labl>
          City of Kyzyl-Kiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6207
        </catValu>
        <labl>
          Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6211
        </catValu>
        <labl>
          Aravan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6226
        </catValu>
        <labl>
          Kara-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6242
        </catValu>
        <labl>
          Nookat district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6246
        </catValu>
        <labl>
          Kara-Kuldjin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6255
        </catValu>
        <labl>
          Uzghen district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6259
        </catValu>
        <labl>
          Chon-Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6400
        </catValu>
        <labl>
          City of Osh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7215
        </catValu>
        <labl>
          Kara-Buurin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7220
        </catValu>
        <labl>
          Bakai-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7225
        </catValu>
        <labl>
          Manas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7232
        </catValu>
        <labl>
          Talas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7400
        </catValu>
        <labl>
          City of Talas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8203
        </catValu>
        <labl>
          Alamudun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8206
        </catValu>
        <labl>
          Ysyk-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8209
        </catValu>
        <labl>
          Zhaiyl district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8213
        </catValu>
        <labl>
          Kemin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8217
        </catValu>
        <labl>
          Moscow district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8219
        </catValu>
        <labl>
          Panfilov district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8222
        </catValu>
        <labl>
          Sokuluk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8223
        </catValu>
        <labl>
          Chui district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8400
        </catValu>
        <labl>
          City of Chui-Tokmok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11201
        </catValu>
        <labl>
          Bishkek city: Lenin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11202
        </catValu>
        <labl>
          Bishkek city: October district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11203
        </catValu>
        <labl>
          Bishkek city: Pervomaysky district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11204
        </catValu>
        <labl>
          Bishkek city: Sverdlovsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Districts with less than 15,000 population in Gorkenesh Bishkek
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="NCOUPLES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        Number of married couples in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[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="V54" name="NMOTHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Number of mothers in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[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="V55" name="NFATHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Number of fathers in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[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="V56" 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="V57" name="ELECTRIC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="76" 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="V58" name="LIVEAREA" files="F1" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="88" width="3" RecSegNo="1"/>
      <labl>
        Living area in square meters
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LIVEAREA describes the total living area in the dwelling inhabited by the household.
      </txt>
      <codInstr>
        <![CDATA[LIVEAREA is a 3-digit numeric variable.

		
000 = NIU (not in universe)
999 = Unknown


		
Unless otherwise specified: 998+
Austria 1991-2001: 150+
Belarus 1999: 201+
Germany 1987: 361+
Hungary 2001: 260+
Iran 2006: 501+
Italy 2001: 150+
Romania 2002: 221+
Slovenia 2002: 101+
Spain 2001: 181+
Switzerland 1980-1990: 400+
Switzerland 2000: 500+]]>
      </codInstr>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="HOTWATER" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Hot water heater
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HOTWATER indicates whether the housing unit had a water heater.
      </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="V60" 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="V61" 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="V62" 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="V63" 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="V64" 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="V65" 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="V66" 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="V67" 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="V68" 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="V69" 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="V70" 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="V71" 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="V72" 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="V73" 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="V74" 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="V75" 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="V76" 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="V77" 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="V78" 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="V79" 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="V80" 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="V81" 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="V82" 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="V83" 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="V84" name="CONSENS" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Consensual union
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, in consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="BIRTHMO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="87" width="2" RecSegNo="1"/>
      <labl>
        Month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHMO indicates the person's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="CHBORN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" 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="V87" name="CHSURV" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" 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="V88" name="BPLKG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        District of birth, Kyrgyz Republic
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLKG indicates the person's district (rayon) of birth within Kyrgyz Republic.
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Batken Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Kadamjai Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Liailiak Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          City of Kyzyl-Kiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          City of Suliukta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          City of Kenesh Batken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Unknown city, Batken region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Ala-Bukin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Bazar-Korgon district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Aksyi district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Nooken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Suzak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Toguz-Torouz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Toktogul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Chatkalsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          City of Dzhalal Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          City of Kara-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          City of Kok-Yangak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          City of MaiLuu-Suu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          City of Tash-Kumyr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Unknown district or city, Jalal-Abad region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Ak-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Dzheti-Oguz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Issyk Kul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Tonsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Tyup district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          City of Karakol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          City of Balykchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Unknown district or city, Issyk-Kul region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Ak-Talin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          At-Bashin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Dzhumgal district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kochkor district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Tien Shan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          City of Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          Unknown district or city Naryn region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Aravan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Kara-Kuldjin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Kara-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Nookat district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Uzghen district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Chon-Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          City of Osh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Bakai-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Kara-Buurin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Manas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Talas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          City of Talas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          Unknown district or city, Talasskaya region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Alamudun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Zhaiyl district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Kemin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Moscow district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Panfilov district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Sokuluk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Ysyk-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          City of Chui-Tokmok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Unknown district, Chuya region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          City of Bishkek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Born in Kyrgyz Republic, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="CITIZEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="103" width="1" RecSegNo="1"/>
      <labl>
        Citizenship
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CITIZEN indicates the person's citizenship status within the country in which they were enumerated.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Citizen by birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Naturalized citizen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not a citizen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Without citizenship, stateless
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="NATION" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="108" width="5" RecSegNo="1"/>
      <labl>
        Country of citizenship
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NATION indicates the person's country of citizenship.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo (Republic of)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12090
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12999
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13011
        </catValu>
        <labl>
          Algeria/Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt/United Arab Rep.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13021
        </catValu>
        <labl>
          Egypt/Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13999
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14999
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15030
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15991
        </catValu>
        <labl>
          Burkina-Faso, Niger, Ivory-Coast, Benin, Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15992
        </catValu>
        <labl>
          Liberia, Sierra-Leone, Nigeria, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15999
        </catValu>
        <labl>
          West Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19990
        </catValu>
        <labl>
          Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19991
        </catValu>
        <labl>
          Central and South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19992
        </catValu>
        <labl>
          Arab African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19993
        </catValu>
        <labl>
          Non-Arab African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19994
        </catValu>
        <labl>
          Other Arab countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19995
        </catValu>
        <labl>
          East, Central and South 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. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. Vincent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21999
        </catValu>
        <labl>
          Caribbean, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22999
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23990
        </catValu>
        <labl>
          South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24041
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24090
        </catValu>
        <labl>
          U.S. and Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24999
        </catValu>
        <labl>
          North America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29900
        </catValu>
        <labl>
          Americas, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29901
        </catValu>
        <labl>
          America/Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29902
        </catValu>
        <labl>
          Central/South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29903
        </catValu>
        <labl>
          Central-America and Carribean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29904
        </catValu>
        <labl>
          Central/South America and Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29905
        </catValu>
        <labl>
          North and Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31999
        </catValu>
        <labl>
          Eastern Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32041
        </catValu>
        <labl>
          India/Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32990
        </catValu>
        <labl>
          Burma, India, Pakistan, Ceylon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32999
        </catValu>
        <labl>
          South-Central Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33030
        </catValu>
        <labl>
          East Timor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33991
        </catValu>
        <labl>
          Laos and Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33992
        </catValu>
        <labl>
          Malaysia and Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33999
        </catValu>
        <labl>
          South-Eastern Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34151
        </catValu>
        <labl>
          Syria/Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34999
        </catValu>
        <labl>
          Western Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39900
        </catValu>
        <labl>
          Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39901
        </catValu>
        <labl>
          South-East/South Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39902
        </catValu>
        <labl>
          West Central/Middle East Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39903
        </catValu>
        <labl>
          Arab Countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39904
        </catValu>
        <labl>
          Non-Arab Asian countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39905
        </catValu>
        <labl>
          Former Soviet Republics, Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41021
        </catValu>
        <labl>
          Bulgaria/Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic/Czechoslovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41999
        </catValu>
        <labl>
          Eastern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42100
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42990
        </catValu>
        <labl>
          Nordic countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42999
        </catValu>
        <labl>
          Northern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43071
        </catValu>
        <labl>
          Vatican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43143
        </catValu>
        <labl>
          Kosovo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43144
        </catValu>
        <labl>
          Serbia and Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43999
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44041
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44042
        </catValu>
        <labl>
          East Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44999
        </catValu>
        <labl>
          Western Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49990
        </catValu>
        <labl>
          Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49991
        </catValu>
        <labl>
          Central-Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49992
        </catValu>
        <labl>
          European Union (Original 15)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49993
        </catValu>
        <labl>
          Other European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49994
        </catValu>
        <labl>
          Former Soviet Republics, Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49995
        </catValu>
        <labl>
          EEA, Switzerland, associated microstates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52999
        </catValu>
        <labl>
          Melanesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53999
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Western Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Eastern Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54100
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54999
        </catValu>
        <labl>
          Polynesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59999
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          Asia n.s. or Oceania n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70000
        </catValu>
        <labl>
          Other Countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70010
        </catValu>
        <labl>
          Europe, Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70020
        </catValu>
        <labl>
          Australia, New Zealand, and stateless
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99997
        </catValu>
        <labl>
          No citizenship/nationality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Foreign, country unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="LANGKG2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="111" width="2" RecSegNo="1"/>
      <labl>
        Second language spoken, Kyrgyz Republic
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="90"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LANGKG2 indicates the second language -- the first language after the mother tongue -- that a respondent could read, write and speak fluently.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Uzbek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kazakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Azerbaijani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kirghiz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Tadjik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Tartar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gipsy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Dungan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Chinese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Korean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          German
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Turkish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Uighur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          No second language spoken
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="SCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="114" 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="V93" name="LIT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="115" 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="V94" name="EDUCKG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="121" width="2" RecSegNo="1"/>
      <labl>
        Educational attainment, Kyrgyz Republic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDUCKG indicates the person's educational attainment in terms of the level of schooling completed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None or less than primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than primary, literate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Primary general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Basic general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Basic vocational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Secondary, specialized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Secondary, general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Higher education, incomplete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Bachelor's
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Specialist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Master's
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Higher education, complete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="EMPSTAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" 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="V96" name="EMPSTATD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" 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="V97" name="OCCISCO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="127" 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="V98" name="OCC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="128" EndPos="131" 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: KG1999A_0447]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="INDGEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="134" 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="V100" name="IND" files="F2" dcml="0" intrvl="contin">
      <location StartPos="135" EndPos="139" 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: KG1999A_0445]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="CLASSWK" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Status in employment (class of worker) [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. 

Class of worker is often referred to as "status in employment" in other sources.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wage/salary worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Unpaid worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="CLASSWKD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="143" width="3" RecSegNo="1"/>
      <labl>
        Status in employment (class of worker) [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. 

Class of worker is often referred to as "status in employment" in other sources.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Self-employed, unincorporated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Self-employed, incorporated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sharecropper, employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Working on own account
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Own account, agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Domestic worker, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Subsistence worker, own consumption
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Own account, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Own account, without temporary/unpaid help
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Own account, with temporary/unpaid help
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Member of cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Sharecropper, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Sharecropper, employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kibbutz member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Wage/salary worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Non-management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          White collar (non-manual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Blue collar (manual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          White and blue collar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Day laborer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Employee, with a permanent job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Employee, occasional, temporary, contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Employee without legal contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wage/salary worker, private employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Apprentice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Religious worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wage/salary worker, non-profit, NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          White collar, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Blue collar, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Paid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Cooperative employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Wage/salary worker, government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Federal, government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          State government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Local government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          White collar, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Blue collar, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Public companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Civil servants, local collectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Domestic worker (work for private household)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Seasonal migrant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Seasonal migrant, no broker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Seasonal migrant, uses broker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Other wage and salary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Canal zone/commission employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Government employment/training program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Mixed state/private enterprise/parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Government public work program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Unpaid worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Unpaid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Apprentice, unpaid or unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Apprentice or trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Works for others without wage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="MIGKG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="155" width="3" RecSegNo="1"/>
      <labl>
        District of previous residence, Kyrgyz Republic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGKG indicates the person's district of previous residence in the Kyrgyz Republic.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Batken Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Kadamjai Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Liailiak Rayon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          City of Kyzyl-Kiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          City of Suliukta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Ala-Bukin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Bazar-Korgon district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Aksyi district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Nooken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Suzak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Toguz-Torouz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Toktogul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Chatkalsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          City of Dzhalal Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          City of Kara-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          City of Kok-Yangak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          City of MaiLuu-Suu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          City of Tash-Kumyr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Ak-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Dzheti-Oguz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Issyk Kul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Tonsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Tyup district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          City of Karakol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          City of Balykchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Ak-Talin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          At-Bashin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Dzhumgal district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kochkor district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Tien Shan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          City of Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Aravan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Kara-Kuldjin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Kara-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Nookat district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Uzghen district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Chon-Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          City of Osh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Bakai-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Kara-Buurin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Manas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Talas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          City of Talas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Alamudun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Zhaiyl district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Kemin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Moscow district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Panfilov district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Sokuluk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Ysyk-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          City of Chui-Tokmok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          City of Bishkek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Other Kyrgyz Republic, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="REFUGEE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="156" EndPos="156" width="1" RecSegNo="1"/>
      <labl>
        Refugee status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        REFUGEE indicates whether a person is a refugee or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Refugee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Registered refugee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Non-registered refugee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Non-refugee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="BIRTHYR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="85" width="4" RecSegNo="1"/>
      <labl>
        Year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHYR gives the person's year of birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1843
        </catValu>
        <labl>
          1843
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1845
        </catValu>
        <labl>
          1845
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1850
        </catValu>
        <labl>
          1850
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1853
        </catValu>
        <labl>
          1853
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1854
        </catValu>
        <labl>
          1854
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1856
        </catValu>
        <labl>
          1856
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1858
        </catValu>
        <labl>
          1858
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1859
        </catValu>
        <labl>
          1859
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1860
        </catValu>
        <labl>
          1860
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1861
        </catValu>
        <labl>
          1861
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1862
        </catValu>
        <labl>
          1862
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1863
        </catValu>
        <labl>
          1863
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1864
        </catValu>
        <labl>
          1864
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1865
        </catValu>
        <labl>
          1865
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1866
        </catValu>
        <labl>
          1866
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1867
        </catValu>
        <labl>
          1867
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1868
        </catValu>
        <labl>
          1868
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1869
        </catValu>
        <labl>
          1869
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1870
        </catValu>
        <labl>
          1870
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1871
        </catValu>
        <labl>
          1871
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1872
        </catValu>
        <labl>
          1872
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1873
        </catValu>
        <labl>
          1873
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1874
        </catValu>
        <labl>
          1874
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1875
        </catValu>
        <labl>
          1875
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1876
        </catValu>
        <labl>
          1876
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1877
        </catValu>
        <labl>
          1877
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1878
        </catValu>
        <labl>
          1878
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1879
        </catValu>
        <labl>
          1879
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1880
        </catValu>
        <labl>
          1880
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1881
        </catValu>
        <labl>
          1881
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1882
        </catValu>
        <labl>
          1882
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1883
        </catValu>
        <labl>
          1883
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1884
        </catValu>
        <labl>
          1884
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1885
        </catValu>
        <labl>
          1885
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1886
        </catValu>
        <labl>
          1886
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1887
        </catValu>
        <labl>
          1887
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1888
        </catValu>
        <labl>
          1888
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1889
        </catValu>
        <labl>
          1889
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1890
        </catValu>
        <labl>
          1890
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1891
        </catValu>
        <labl>
          1891
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1892
        </catValu>
        <labl>
          1892
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1893
        </catValu>
        <labl>
          1893
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1894
        </catValu>
        <labl>
          1894
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1895
        </catValu>
        <labl>
          1895
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1896
        </catValu>
        <labl>
          1896
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1897
        </catValu>
        <labl>
          1897
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1898
        </catValu>
        <labl>
          1898
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1899
        </catValu>
        <labl>
          1899
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          1900
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          1901
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          1902
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          1903
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          1904
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          1905
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          1906
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          1907
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          1908
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          1909
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          1910
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          1911
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          1912
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          1913
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1914
        </catValu>
        <labl>
          1914
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1915
        </catValu>
        <labl>
          1915
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1916
        </catValu>
        <labl>
          1916
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1917
        </catValu>
        <labl>
          1917
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1918
        </catValu>
        <labl>
          1918
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1919
        </catValu>
        <labl>
          1919
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          1920
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          1921
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          1922
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          1923
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          1924
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          1925
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          1926
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1927
        </catValu>
        <labl>
          1927
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1928
        </catValu>
        <labl>
          1928
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1929
        </catValu>
        <labl>
          1929
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          1930
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          1931
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          1932
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1933
        </catValu>
        <labl>
          1933
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1934
        </catValu>
        <labl>
          1934
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1935
        </catValu>
        <labl>
          1935
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </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="V106" name="KG1999A_0003" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="158" 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="26"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person number (within household).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Household record
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="KG1999A_0402" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="160" width="2" RecSegNo="1"/>
      <labl>
        Relationship to the person enumerated first in the household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
1. Relationship to the person enumerated first in a household

[] 01 Person enumerated first
[] 02Wife, husband
[] 03 Daughter, son
[] 04 Mother, father
[] 05 Sister, brother
[] 06 Mother-in-law, father-in-law
[] 07 Daughter-in -law, son-in-law
[] 08 Grandmother, grandfather
[] 09 Granddaughter, grandson, great-granddaughter, great-grandson
[] 10 Other type of relationship
[] 11 Non-relative


Number of mother (or father) __]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 1. Relationship to the person recorded first in household

The code is to be circled which corresponds to one of the prompts given.

For the household member specified first within the household code 1 "person recorded first" is to be marked. 
For all other household members corresponding codes are to be marked. For example, if a person questioned is a son of the first person, code 3 corresponding to the prompt "daughter, son" is to be marked. If a person questioned has kinship or in-law relationship to the person recorded first which is different from those listed (e.g., nephew), code 10 corresponding to the prompt "other relation degree" is be marked.

If a household comprises one person, only code 1 "person recorded first" is to be circled.
Persons who are included in a given household, but are not related to any household member either by blood or by law (e.g., nanny or servant living in the household and contributing to it) are to be marked with code 11 "non-relative".

Code 11 "non-relative" is also marked for persons (other than person 1) permanently living in a collective household, excluding those related to each other by blood or law (e.g., husband and wife in a boarding house for the aged or invalids or brother and sister in a children's home) who are to be recorded according to the procedure mentioned above.

For each household member (regardless of the age and marital status) living in the same household with both parents or one of them, the serial number assigned to his (her) mother (related by blood or not) within the dwelling, i.e. the number indicated against her name in column 1 of the List of residents in dwelling is to be recorded. If there is no mother in the household, the number of father is to be entered. If there is neither mother nor father within the household, no number is to be recorded.

For temporary residents in question 1 code 1 "person recorded first" is to be circled, irrespective of the relation degree to permanent residents in this dwelling.

If two or more temporary residents are relatives, they are considered a household consisting of two or more persons. For one of them code 1 "person recorded first" is to be circled and other members are marked with codes corresponding to their relation degree.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="11"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's relationship to the person enumerated first in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Person enumerated first
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wife, husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Daughter, son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mother, father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Sister, brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Mother-in-law, father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Daughter-in-law, son-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Grandmother, grandfather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Granddaughter, grandson, great-grand-daughter, great-grandson
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other type of relationship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Non-relative
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="KG1999A_0403" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="162" width="2" RecSegNo="1"/>
      <labl>
        Number of mother (or father) in the household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
1. Relationship to the person enumerated first in a household

[] 01 Person enumerated first
[] 02Wife, husband
[] 03 Daughter, son
[] 04 Mother, father
[] 05 Sister, brother
[] 06 Mother-in-law, father-in-law
[] 07 Daughter-in -law, son-in-law
[] 08 Grandmother, grandfather
[] 09 Granddaughter, grandson, great-granddaughter, great-grandson
[] 10 Other type of relationship
[] 11 Non-relative


Number of mother (or father) __]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 1. Relationship to the person recorded first in household

The code is to be circled which corresponds to one of the prompts given.

For the household member specified first within the household code 1 "person recorded first" is to be marked. 
For all other household members corresponding codes are to be marked. For example, if a person questioned is a son of the first person, code 3 corresponding to the prompt "daughter, son" is to be marked. If a person questioned has kinship or in-law relationship to the person recorded first which is different from those listed (e.g., nephew), code 10 corresponding to the prompt "other relation degree" is be marked.

If a household comprises one person, only code 1 "person recorded first" is to be circled.
Persons who are included in a given household, but are not related to any household member either by blood or by law (e.g., nanny or servant living in the household and contributing to it) are to be marked with code 11 "non-relative".

Code 11 "non-relative" is also marked for persons (other than person 1) permanently living in a collective household, excluding those related to each other by blood or law (e.g., husband and wife in a boarding house for the aged or invalids or brother and sister in a children's home) who are to be recorded according to the procedure mentioned above.

For each household member (regardless of the age and marital status) living in the same household with both parents or one of them, the serial number assigned to his (her) mother (related by blood or not) within the dwelling, i.e. the number indicated against her name in column 1 of the List of residents in dwelling is to be recorded. If there is no mother in the household, the number of father is to be entered. If there is neither mother nor father within the household, no number is to be recorded.

For temporary residents in question 1 code 1 "person recorded first" is to be circled, irrespective of the relation degree to permanent residents in this dwelling.

If two or more temporary residents are relatives, they are considered a household consisting of two or more persons. For one of them code 1 "person recorded first" is to be circled and other members are marked with codes corresponding to their relation degree.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="31"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of the person's mother in the household record. If the mother is not in the household, the father's record number should be listed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No mother or father present
        </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>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="KG1999A_0404" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="163" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
2. Sex

[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 2. Sex

The code corresponding to one of the prompts given is to be circled.]]>
        </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 person's sex.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="KG1999A_0405" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="164" EndPos="164" width="1" RecSegNo="1"/>
      <labl>
        Presence on census night
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
3. Temporarily

[] 1 Absent
[] 2 Residing]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 3. Temporarily absent / Temporary resident

Code 1 "temporarily absent" is to be marked for persons for whom records are made in the List of residents in dwelling about the reason and duration of their absence. For persons having dashes in columns 4 and 5 of the List of residents this code is not to be circled in the enumeration form.

Code 2 "temporary resident" is to be marked for persons for whom records of the address of their permanent place of residence and duration therefrom are made in the List of residents in dwelling. For persons having dashes in columns 6 and 7 of the List of residents this code is not to be circled in the enumeration form.]]>
        </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 a person was temporarily absent on census night.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Temporarily absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Present
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="KG1999A_0407" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="166" width="2" RecSegNo="1"/>
      <labl>
        Month of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
4. Date of birth

Day _ _
Month _ _
Year 1 _ _ _
Age _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 4. Date of birth

The answer on the day, month and year of birth is to be recorded in numbers in special boxes. E.g., a person was born on May 12, 1946. It should be recorded "12", "5" and "1946" respectively.

After the date of birth has been entered, the enumerator without any additional questions is to determine with the help of the "Supporting table for determining the number of years by the known year of birth as of February 24, 1999" (see Annex 1) and record in a special box the number of complete years.

For children under one year "0" should be entered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="KG1999A_0408" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="167" EndPos="170" width="4" RecSegNo="1"/>
      <labl>
        Year of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
4. Date of birth

Day _ _
Month _ _
Year 1 _ _ _
Age _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 4. Date of birth

The answer on the day, month and year of birth is to be recorded in numbers in special boxes. E.g., a person was born on May 12, 1946. It should be recorded "12", "5" and "1946" respectively.

After the date of birth has been entered, the enumerator without any additional questions is to determine with the help of the "Supporting table for determining the number of years by the known year of birth as of February 24, 1999" (see Annex 1) and record in a special box the number of complete years.

For children under one year "0" should be entered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1900" max="1999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's year of birth.
      </txt>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          1900 or earlier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          1901
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          1902
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          1903
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          1904
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          1905
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          1906
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          1907
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          1908
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          1909
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          1910
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          1911
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          1912
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          1913
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1914
        </catValu>
        <labl>
          1914
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1915
        </catValu>
        <labl>
          1915
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1916
        </catValu>
        <labl>
          1916
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1917
        </catValu>
        <labl>
          1917
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1918
        </catValu>
        <labl>
          1918
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1919
        </catValu>
        <labl>
          1919
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          1920
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          1921
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          1922
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          1923
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          1924
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          1925
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          1926
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1927
        </catValu>
        <labl>
          1927
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1928
        </catValu>
        <labl>
          1928
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1929
        </catValu>
        <labl>
          1929
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          1930
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          1931
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          1932
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1933
        </catValu>
        <labl>
          1933
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1934
        </catValu>
        <labl>
          1934
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1935
        </catValu>
        <labl>
          1935
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="KG1999A_0409" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="173" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
4. Date of birth

Day _ _
Month _ _
Year 1 _ _ _
Age _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 4. Date of birth

The answer on the day, month and year of birth is to be recorded in numbers in special boxes. E.g., a person was born on May 12, 1946. It should be recorded "12", "5" and "1946" respectively.

After the date of birth has been entered, the enumerator without any additional questions is to determine with the help of the "Supporting table for determining the number of years by the known year of birth as of February 24, 1999" (see Annex 1) and record in a special box the number of complete years.

For children under one year "0" should be entered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="100"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's age in years.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="KG1999A_0410" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="176" width="3" RecSegNo="1"/>
      <labl>
        Nationality
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
5. Nationality ____ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 5. Nationality

The nationality (ethnic group) named by the person interviewed him(her)self is to be recorded. The nationality of children is to be determined by their parents.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's nationality.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Russians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ukrainians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Belarusians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Uzbeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kazakhs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Georgians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Azerbaijani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Moldavians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Kirghiz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Tadjik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Armenians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Turkmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Balkars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Bashkirs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Avars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Aghul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Dargins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Lezgins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Ingush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Kalmucks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Mordovians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Ossetians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Tartars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Udmurts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Chechen (nokhcho)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Chuvash
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Jewry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          Karachay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Gipsies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Chemshil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Arabs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Afghans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Bulgarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Greeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Dungans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Nationalities of India and Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Chinese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Koreans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Kurds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Germans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Persians (Irani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Poles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Turks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Uighurs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Meskhetian Turks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Turki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="KG1999A_0411" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="179" width="3" RecSegNo="1"/>
      <labl>
        Mother tongue
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
6. Language (specify your mother tongue) ____ _ _ _
Other fluently spoken languages

1. ____ _ _ _
2. ____ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 6. Language

In the answer about the mother tongue, the language is to be recorded, which the person questioned recognizes as his/her native.

If a person finds difficult to name his/her mother tongue, the language best spoken by the person or usually used by his/her household is to be recorded.

For children who can not speak yet and other young children the mother tongue is to be determined by their parents. If parents find difficulty in determining the mother tongue of their child, the language usually spoken in the household is to be recorded.

The mother tongue of those deaf and dumb is considered the language in which they read and write or the language used by the members of their household or persons they mainly speak to at home.

After the mother tongue of the person questioned has been entered, for persons having a perfect command of other languages, i.e. being able to read, write and fluently speak in these languages, the names of those language are to be recorded accordingly (e.g., Ukrainian, English, Spanish, Russian, etc.)
For persons having no command of other languages, as well as for children who can not speak yet, after the record about the mother tongue "no" should be entered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's mother tongue.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Belarusian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Uzbek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kazakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Georgian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Azerbaijani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Kirghiz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Tadjik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Karachay-Balkar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Bashkir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Avar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Aghul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Dargin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Lak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Lezgin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Kalmyck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Mordovian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Tartar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Chechen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Chuvash
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Hebrew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Gipsy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Chemshil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Afghan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Bulgarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Greek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Dungan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Hindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Chinese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Korean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Kurdish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          German
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Persian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Turkish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Uighur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Turkic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="KG1999A_0412" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="180" EndPos="182" width="3" RecSegNo="1"/>
      <labl>
        Other fluently spoken language (first)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
6. Language (specify your mother tongue) ____ _ _ _
Other fluently spoken languages

1. ____ _ _ _
2. ____ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 6. Language

In the answer about the mother tongue, the language is to be recorded, which the person questioned recognizes as his/her native.

If a person finds difficult to name his/her mother tongue, the language best spoken by the person or usually used by his/her household is to be recorded.

For children who can not speak yet and other young children the mother tongue is to be determined by their parents. If parents find difficulty in determining the mother tongue of their child, the language usually spoken in the household is to be recorded.

The mother tongue of those deaf and dumb is considered the language in which they read and write or the language used by the members of their household or persons they mainly speak to at home.

After the mother tongue of the person questioned has been entered, for persons having a perfect command of other languages, i.e. being able to read, write and fluently speak in these languages, the names of those language are to be recorded accordingly (e.g., Ukrainian, English, Spanish, Russian, etc.)
For persons having no command of other languages, as well as for children who can not speak yet, after the record about the mother tongue "no" should be entered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons who speak fluently more than one language
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the other fluently spoken language besides mother tongue.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Uzbek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kazakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Azerbaijani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Kirghiz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Tadjik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Tartar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Gipsy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Dungan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          Chinese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          Korean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          German
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Turkish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Uighur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </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="V117" name="KG1999A_0413" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="183" EndPos="185" width="3" RecSegNo="1"/>
      <labl>
        Other fluently spoken language (second)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
6. Language (specify your mother tongue) ____ _ _ _
Other fluently spoken languages

1. ____ _ _ _
2. ____ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 6. Language

In the answer about the mother tongue, the language is to be recorded, which the person questioned recognizes as his/her native.

If a person finds difficult to name his/her mother tongue, the language best spoken by the person or usually used by his/her household is to be recorded.

For children who can not speak yet and other young children the mother tongue is to be determined by their parents. If parents find difficulty in determining the mother tongue of their child, the language usually spoken in the household is to be recorded.

The mother tongue of those deaf and dumb is considered the language in which they read and write or the language used by the members of their household or persons they mainly speak to at home.

After the mother tongue of the person questioned has been entered, for persons having a perfect command of other languages, i.e. being able to read, write and fluently speak in these languages, the names of those language are to be recorded accordingly (e.g., Ukrainian, English, Spanish, Russian, etc.)
For persons having no command of other languages, as well as for children who can not speak yet, after the record about the mother tongue "no" should be entered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons who speak fluently more than two language
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the third language, if any, the person speaks besides his/her mother tongue and another fluently spoken language.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Uzbek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Kazakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Azerbaijani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Kirghiz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Tadjik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Tartar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Dungan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          German
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Turkish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Uighur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </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="V118" name="KG1999A_0414" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="189" width="4" RecSegNo="1"/>
      <labl>
        City, district or country of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
7. Place of birth

(Name of town, rayon, country) ____ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 7. Place of birth

In the answer to this question, for persons born in the territory of the Kyrgyz Republic the name of the city or district where the person was born is to be entered.

For persons born in countries of near or far abroad, the name of the country of their birth is to be entered (e.g., "Russia", "Ukraine", "Poland", "Italy").]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="9999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the city or district of birth for those born in Kyrgyzstan and country of birth for those born outside Kyrgyzstan.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turky
        </labl>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Other foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          City of Bishkek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Ak-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Dzheti-Oguz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Issyk Kul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Tonsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2225
        </catValu>
        <labl>
          Tyup district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          City of Karakol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          City of Balykchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Ala-Bukin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Bazar-Korgon district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Aksyi district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3215
        </catValu>
        <labl>
          Nooken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Suzak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Toguz-Torouz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3225
        </catValu>
        <labl>
          Toktogul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Chatkalsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          City of Dzhalal Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          City of Kara-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          City of Kok-Yangak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3415
        </catValu>
        <labl>
          City of MaiLuu-Suu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3422
        </catValu>
        <labl>
          City of Tash-Kumyr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Ak-Talin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          At-Bashin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4230
        </catValu>
        <labl>
          Dzhumgal district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4235
        </catValu>
        <labl>
          Kochkor district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4245
        </catValu>
        <labl>
          Tien Shan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          City of Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5214
        </catValu>
        <labl>
          Batken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5236
        </catValu>
        <labl>
          Lailyak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5258
        </catValu>
        <labl>
          Kadamzhai district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5411
        </catValu>
        <labl>
          City of Kyzyl-Kiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5419
        </catValu>
        <labl>
          City of Suliukta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6207
        </catValu>
        <labl>
          Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6211
        </catValu>
        <labl>
          Aravan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6226
        </catValu>
        <labl>
          Kara-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6242
        </catValu>
        <labl>
          Nookat district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6246
        </catValu>
        <labl>
          Kara-Kuldjin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6255
        </catValu>
        <labl>
          Uzghen district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6259
        </catValu>
        <labl>
          Chon-Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6401
        </catValu>
        <labl>
          City of Osh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7215
        </catValu>
        <labl>
          Kara-Buurin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7220
        </catValu>
        <labl>
          Bakai-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7225
        </catValu>
        <labl>
          Manas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7232
        </catValu>
        <labl>
          Talas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7401
        </catValu>
        <labl>
          City of Talas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8203
        </catValu>
        <labl>
          Alamudun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8206
        </catValu>
        <labl>
          Ysyk-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8209
        </catValu>
        <labl>
          Zhaiyl district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8213
        </catValu>
        <labl>
          Kemin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8217
        </catValu>
        <labl>
          Moscow district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8219
        </catValu>
        <labl>
          Panfilov district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8222
        </catValu>
        <labl>
          Sokuluk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8414
        </catValu>
        <labl>
          City of Chui-Tokmok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          Other Kyrgyz Republic, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="KG1999A_0415" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="190" EndPos="192" width="3" RecSegNo="1"/>
      <labl>
        Citizenship
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
8. Citizenship

[] 1 Kyrgyz Republic
[] 2 Without citizenship
Citizen of another country (specify country) ____ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 8. Citizenship

For citizens of the Kyrgyz Republic code 1 "Kyrgyz Republic" is to be circled.

Citizens of the Kyrgyz Republic are persons possessing the citizenship of the Kyrgyz Republic and those who acquired it in accordance with the Law of December 18, 1993 "On citizenship of the Kyrgyz Republic" and did not declare about their affiliation with the citizenship of other state.

For foreign citizens in the line "other state" the name of the state where the person in question is a citizen (e.g., Ukraine, Russia, Italy, Spain, etc.) is to be recorded.

For persons with dual citizenship the name of one country at the person's discretion is to be recorded.

Citizenship of children is to be recorded in accordance with the decision of their parents.
For persons without citizenship code 2 "stateless" is to be encircled.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's citizenship.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen of Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Stateless
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </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>
          Izrael
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libyan Arab Jamahiriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Swiss
        </labl>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turky
        </labl>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Great Britain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America (USA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          891
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="KG1999A_0416" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="193" width="1" RecSegNo="1"/>
      <labl>
        Residing permanently since birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
9. Residing temporarily from birth in that populated area

[] 1 Yes (skip to question 10)
[] 2 No

If no, specify
a) The year you have been temporarily residing here 1 _ _ _
b) Place of previous residence (name of town, rayon, country) ____ _ _ _ _
c) From what populated area have you moved from?


[] 3 From urban
[] 4 From rural


d) Are you a refugee?


[] 5 Yes
[] 6 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 9. Has the person permanently been living in this settlement since birth?

Question 9 is neither asked of those temporary residents nor completed.

Code 1 "Yes" is to be encircled for persons that have continuously been living in this settlement since birth, in which case the continuity of residence is not considered broken by:

move from one rural settlement to another within the same administrative district or move from one district of the city of Bishkek to another one;
departure from this settlement for compulsory military service or business trip;
all departures from this settlement not connected with the change of permanent place of residence.


Continuity of residence does not depend on the registration or its character (permanent or temporary) and is not considered broken by changing the address within the same administrative district.

If the answer is "Yes", the enumerator is to go to question 10.

Code 2 "No" is to be circled for persons living in this settlement not since birth, those inclusive who were born here, but moved from this settlement for permanent residence to other administrative district.

For persons who changed their place of residence the following data are to be completed in special boxes:

a)since which year have you been permanently live here, i.e. in this settlement? For persons (both born here and those living here not since birth) who moved from this settlement for permanent residence to other places, the year since which they have permanently been living here after return, is to be indicated;
b) previous place of residence: the name of city or district in the Kyrgyz Republic or the name of the country of near or far abroad is to be entered, e.g., the city of Naryn, the city of Osh, Solokukski district, Russia, Ukraine, etc.
c) what settlement have you come from?
If a person questioned has come from a city or urban type settlement, code 3 "urban" is to be marked; if from a rural locality, code 4 "rural" should be labeled. In this case, the administrative-territorial changes taking place after the move of the person from his/her previous place of permanent residence are not to be taken into account.
d) are you a refugee or a forced migrant?
This question is to be only asked of persons who changed their place of residence in the period from 1989 to March 1999.

Code 5 "Yes" is to be marked for persons who as a result of exacerbation of interethnic relations or armed conflicts in the territory of their residence were forced to change their permanent place of residence because violence was committed to them or members of their families or there was a jeopardy for them to be persecuted because of national identity, confession, language, and also because of social identity or political opinions.

Code 6 "No" is to be used for persons who changed the place of their permanent residence for any other reason, e.g., because of arrival for training or new place of employment, for family or other similar reasons.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person is residing permanently since birth in the present administrative district or the city of Bishkek.
      </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">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V121" name="KG1999A_0417" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="194" EndPos="197" width="4" RecSegNo="1"/>
      <labl>
        Year moved
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
9. Residing temporarily from birth in that populated area

[] 1 Yes (skip to question 10)
[] 2 No

If no, specify
a) The year you have been temporarily residing here 1 _ _ _
b) Place of previous residence (name of town, rayon, country) ____ _ _ _ _
c) From what populated area have you moved from?


[] 3 From urban
[] 4 From rural


d) Are you a refugee?


[] 5 Yes
[] 6 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 9. Has the person permanently been living in this settlement since birth?

Question 9 is neither asked of those temporary residents nor completed.

Code 1 "Yes" is to be encircled for persons that have continuously been living in this settlement since birth, in which case the continuity of residence is not considered broken by:

move from one rural settlement to another within the same administrative district or move from one district of the city of Bishkek to another one;
departure from this settlement for compulsory military service or business trip;
all departures from this settlement not connected with the change of permanent place of residence.


Continuity of residence does not depend on the registration or its character (permanent or temporary) and is not considered broken by changing the address within the same administrative district.

If the answer is "Yes", the enumerator is to go to question 10.

Code 2 "No" is to be circled for persons living in this settlement not since birth, those inclusive who were born here, but moved from this settlement for permanent residence to other administrative district.

For persons who changed their place of residence the following data are to be completed in special boxes:

a)since which year have you been permanently live here, i.e. in this settlement? For persons (both born here and those living here not since birth) who moved from this settlement for permanent residence to other places, the year since which they have permanently been living here after return, is to be indicated;
b) previous place of residence: the name of city or district in the Kyrgyz Republic or the name of the country of near or far abroad is to be entered, e.g., the city of Naryn, the city of Osh, Solokukski district, Russia, Ukraine, etc.
c) what settlement have you come from?
If a person questioned has come from a city or urban type settlement, code 3 "urban" is to be marked; if from a rural locality, code 4 "rural" should be labeled. In this case, the administrative-territorial changes taking place after the move of the person from his/her previous place of permanent residence are not to be taken into account.
d) are you a refugee or a forced migrant?
This question is to be only asked of persons who changed their place of residence in the period from 1989 to March 1999.

Code 5 "Yes" is to be marked for persons who as a result of exacerbation of interethnic relations or armed conflicts in the territory of their residence were forced to change their permanent place of residence because violence was committed to them or members of their families or there was a jeopardy for them to be persecuted because of national identity, confession, language, and also because of social identity or political opinions.

Code 6 "No" is to be used for persons who changed the place of their permanent residence for any other reason, e.g., because of arrival for training or new place of employment, for family or other similar reasons.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <universe clusion="I">
        Persons who have ever migrated between districts
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the year the person moved to the present administrative district or the city of Bishkek.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          1930 or earlier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          1931
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          1932
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1933
        </catValu>
        <labl>
          1933
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1934
        </catValu>
        <labl>
          1934
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1935
        </catValu>
        <labl>
          1935
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="KG1999A_0418" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="198" EndPos="201" width="4" RecSegNo="1"/>
      <labl>
        District or country of previous residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
9. Residing temporarily from birth in that populated area

[] 1 Yes (skip to question 10)
[] 2 No

If no, specify
a) The year you have been temporarily residing here 1 _ _ _
b) Place of previous residence (name of town, rayon, country) ____ _ _ _ _
c) From what populated area have you moved from?


[] 3 From urban
[] 4 From rural


d) Are you a refugee?


[] 5 Yes
[] 6 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 9. Has the person permanently been living in this settlement since birth?

Question 9 is neither asked of those temporary residents nor completed.

Code 1 "Yes" is to be encircled for persons that have continuously been living in this settlement since birth, in which case the continuity of residence is not considered broken by:

move from one rural settlement to another within the same administrative district or move from one district of the city of Bishkek to another one;
departure from this settlement for compulsory military service or business trip;
all departures from this settlement not connected with the change of permanent place of residence.


Continuity of residence does not depend on the registration or its character (permanent or temporary) and is not considered broken by changing the address within the same administrative district.

If the answer is "Yes", the enumerator is to go to question 10.

Code 2 "No" is to be circled for persons living in this settlement not since birth, those inclusive who were born here, but moved from this settlement for permanent residence to other administrative district.

For persons who changed their place of residence the following data are to be completed in special boxes:

a)since which year have you been permanently live here, i.e. in this settlement? For persons (both born here and those living here not since birth) who moved from this settlement for permanent residence to other places, the year since which they have permanently been living here after return, is to be indicated;
b) previous place of residence: the name of city or district in the Kyrgyz Republic or the name of the country of near or far abroad is to be entered, e.g., the city of Naryn, the city of Osh, Solokukski district, Russia, Ukraine, etc.
c) what settlement have you come from?
If a person questioned has come from a city or urban type settlement, code 3 "urban" is to be marked; if from a rural locality, code 4 "rural" should be labeled. In this case, the administrative-territorial changes taking place after the move of the person from his/her previous place of permanent residence are not to be taken into account.
d) are you a refugee or a forced migrant?
This question is to be only asked of persons who changed their place of residence in the period from 1989 to March 1999.

Code 5 "Yes" is to be marked for persons who as a result of exacerbation of interethnic relations or armed conflicts in the territory of their residence were forced to change their permanent place of residence because violence was committed to them or members of their families or there was a jeopardy for them to be persecuted because of national identity, confession, language, and also because of social identity or political opinions.

Code 6 "No" is to be used for persons who changed the place of their permanent residence for any other reason, e.g., because of arrival for training or new place of employment, for family or other similar reasons.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <universe clusion="I">
        Persons who have ever migrated between districts
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the city or district of previous residence if it was within Kyrgyzstan or the country of previous residence if it was outside Kyrgyzstan.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Foreign country, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          City of Bishkek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Ak-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Dzheti-Oguz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Issyk Kul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Tonsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2225
        </catValu>
        <labl>
          Tyup district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          City of Karakol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          City of Balykchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Ala-Bukin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Bazar-Korgon district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Aksyi district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3215
        </catValu>
        <labl>
          Nooken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Suzak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Toguz-Torouz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3225
        </catValu>
        <labl>
          Toktogul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Chatkalsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          City of Dzhalal Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          City of Kara-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          City of Kok-Yangak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3415
        </catValu>
        <labl>
          City of MaiLuu-Suu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3422
        </catValu>
        <labl>
          City of Tash-Kumyr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Ak-Talin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          At-Bashin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4230
        </catValu>
        <labl>
          Dzhumgal district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4235
        </catValu>
        <labl>
          Kochkor district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4245
        </catValu>
        <labl>
          Tien Shan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          City of Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5214
        </catValu>
        <labl>
          Batken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5236
        </catValu>
        <labl>
          Lailyak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5258
        </catValu>
        <labl>
          Kadamzhai district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5411
        </catValu>
        <labl>
          City of Kyzyl-Kiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5419
        </catValu>
        <labl>
          City of Suliukta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6207
        </catValu>
        <labl>
          Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6211
        </catValu>
        <labl>
          Aravan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6226
        </catValu>
        <labl>
          Kara-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6242
        </catValu>
        <labl>
          Nookat district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6246
        </catValu>
        <labl>
          Kara-Kuldjin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6255
        </catValu>
        <labl>
          Uzghen district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6259
        </catValu>
        <labl>
          Chon-Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6401
        </catValu>
        <labl>
          City of Osh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7215
        </catValu>
        <labl>
          Kara-Buurin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7220
        </catValu>
        <labl>
          Bakai-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7225
        </catValu>
        <labl>
          Manas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7232
        </catValu>
        <labl>
          Talas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7401
        </catValu>
        <labl>
          City of Talas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8203
        </catValu>
        <labl>
          Alamudun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8206
        </catValu>
        <labl>
          Ysyk-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8209
        </catValu>
        <labl>
          Zhaiyl district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8213
        </catValu>
        <labl>
          Kemin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8217
        </catValu>
        <labl>
          Moscow district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8219
        </catValu>
        <labl>
          Panfilov district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8222
        </catValu>
        <labl>
          Sokuluk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8414
        </catValu>
        <labl>
          City of Chui-Tokmok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          Other Kyrgyz Republic, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="KG1999A_0419" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="202" width="1" RecSegNo="1"/>
      <labl>
        Moved from urban or rural area
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
9. Residing temporarily from birth in that populated area

[] 1 Yes (skip to question 10)
[] 2 No

If no, specify
a) The year you have been temporarily residing here 1 _ _ _
b) Place of previous residence (name of town, rayon, country) ____ _ _ _ _
c) From what populated area have you moved from?


[] 3 From urban
[] 4 From rural


d) Are you a refugee?


[] 5 Yes
[] 6 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 9. Has the person permanently been living in this settlement since birth?

Question 9 is neither asked of those temporary residents nor completed.

Code 1 "Yes" is to be encircled for persons that have continuously been living in this settlement since birth, in which case the continuity of residence is not considered broken by:

move from one rural settlement to another within the same administrative district or move from one district of the city of Bishkek to another one;
departure from this settlement for compulsory military service or business trip;
all departures from this settlement not connected with the change of permanent place of residence.


Continuity of residence does not depend on the registration or its character (permanent or temporary) and is not considered broken by changing the address within the same administrative district.

If the answer is "Yes", the enumerator is to go to question 10.

Code 2 "No" is to be circled for persons living in this settlement not since birth, those inclusive who were born here, but moved from this settlement for permanent residence to other administrative district.

For persons who changed their place of residence the following data are to be completed in special boxes:

a)since which year have you been permanently live here, i.e. in this settlement? For persons (both born here and those living here not since birth) who moved from this settlement for permanent residence to other places, the year since which they have permanently been living here after return, is to be indicated;
b) previous place of residence: the name of city or district in the Kyrgyz Republic or the name of the country of near or far abroad is to be entered, e.g., the city of Naryn, the city of Osh, Solokukski district, Russia, Ukraine, etc.
c) what settlement have you come from?
If a person questioned has come from a city or urban type settlement, code 3 "urban" is to be marked; if from a rural locality, code 4 "rural" should be labeled. In this case, the administrative-territorial changes taking place after the move of the person from his/her previous place of permanent residence are not to be taken into account.
d) are you a refugee or a forced migrant?
This question is to be only asked of persons who changed their place of residence in the period from 1989 to March 1999.

Code 5 "Yes" is to be marked for persons who as a result of exacerbation of interethnic relations or armed conflicts in the territory of their residence were forced to change their permanent place of residence because violence was committed to them or members of their families or there was a jeopardy for them to be persecuted because of national identity, confession, language, and also because of social identity or political opinions.

Code 6 "No" is to be used for persons who changed the place of their permanent residence for any other reason, e.g., because of arrival for training or new place of employment, for family or other similar reasons.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons who have ever migrated between districts
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person moved from urban or rural area to the present location.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="KG1999A_0420" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="203" width="1" RecSegNo="1"/>
      <labl>
        Refugee
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
9. Residing temporarily from birth in that populated area

[] 1 Yes (skip to question 10)
[] 2 No

If no, specify
a) The year you have been temporarily residing here 1 _ _ _
b) Place of previous residence (name of town, rayon, country) ____ _ _ _ _
c) From what populated area have you moved from?


[] 3 From urban
[] 4 From rural


d) Are you a refugee?


[] 5 Yes
[] 6 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 9. Has the person permanently been living in this settlement since birth?

Question 9 is neither asked of those temporary residents nor completed.

Code 1 "Yes" is to be encircled for persons that have continuously been living in this settlement since birth, in which case the continuity of residence is not considered broken by:

move from one rural settlement to another within the same administrative district or move from one district of the city of Bishkek to another one;
departure from this settlement for compulsory military service or business trip;
all departures from this settlement not connected with the change of permanent place of residence.


Continuity of residence does not depend on the registration or its character (permanent or temporary) and is not considered broken by changing the address within the same administrative district.

If the answer is "Yes", the enumerator is to go to question 10.

Code 2 "No" is to be circled for persons living in this settlement not since birth, those inclusive who were born here, but moved from this settlement for permanent residence to other administrative district.

For persons who changed their place of residence the following data are to be completed in special boxes:

a)since which year have you been permanently live here, i.e. in this settlement? For persons (both born here and those living here not since birth) who moved from this settlement for permanent residence to other places, the year since which they have permanently been living here after return, is to be indicated;
b) previous place of residence: the name of city or district in the Kyrgyz Republic or the name of the country of near or far abroad is to be entered, e.g., the city of Naryn, the city of Osh, Solokukski district, Russia, Ukraine, etc.
c) what settlement have you come from?
If a person questioned has come from a city or urban type settlement, code 3 "urban" is to be marked; if from a rural locality, code 4 "rural" should be labeled. In this case, the administrative-territorial changes taking place after the move of the person from his/her previous place of permanent residence are not to be taken into account.
d) are you a refugee or a forced migrant?
This question is to be only asked of persons who changed their place of residence in the period from 1989 to March 1999.

Code 5 "Yes" is to be marked for persons who as a result of exacerbation of interethnic relations or armed conflicts in the territory of their residence were forced to change their permanent place of residence because violence was committed to them or members of their families or there was a jeopardy for them to be persecuted because of national identity, confession, language, and also because of social identity or political opinions.

Code 6 "No" is to be used for persons who changed the place of their permanent residence for any other reason, e.g., because of arrival for training or new place of employment, for family or other similar reasons.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons who moved since 1989
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is a refugee. Refugee includes both internal (within Kyrgyzstan) and external refugees.

The census instructions indicated that the question was to be asked of persons who moved since 1989, but many of those people did not provide a response.  Moreover, many persons who moved prior to 1989 did respond, although it is unknown how representative they are of the pre-1989 refugee population.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="KG1999A_0421" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="204" EndPos="204" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons aged 15 years and over
[Question 10 was asked of persons aged 15 years and over.]

10. Marital status

[] 1 Never married
[] 2 Registered married
[] 3 Not registered married
[] 4 Widowed
[] 5 Divorced
[] 6 Separated

Number of a wife (husband) __]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 10. Marital status

This question is usually asked of persons aged 15 years and over, in which case the code corresponding to one of the prompts given is to be circled.

Code 1 "Never married" is to be circled for persons who never were in a registered or in a common law (unregistered) marriage.
Code 2 "Registered marriage" is to be circled for persons presently married, with their marriage being registered with the Civil Registry Office.
Code 3 "Unregistered marriage" (common law marriage) is to be encircled for persons presently married without registration with the Civil Registry Office.
Code 4 "Widowed" is to be encircled for persons who were married earlier (whether their marriage registered or not), but whose marriage stopped because of the death of the spouse and who have not remarried.
Code 5 "Divorced" is to be encircled for persons who were earlier in a registered marriage, but at the moment are unmarried with their divorce being registered with the Civil Registry Office.
Code 6 "Separated" is to be encircled for persons who were earlier in a registered marriage, but at the moment are unmarried and do not jointly keep the house, with their divorce not registered yet with the registry office, as well as for persons who were earlier in unregistered marriage, but at the moment has been separated.

For those married (codes 2 or 3) the serial number under which his wife (husband) is recorded within the dwelling is to be entered in a special box, i.e. the number specified against her/his name in column 1 of the List of residents in dwelling if the wife (husband) is a permanent resident in this household.

For persons under 15 years of age the answer to this question is usually not completed. Only if a person questioned does insist on his/her marriage, the corresponding code should be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's marital status.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Registered married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not registered married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Separated
        </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="V126" name="KG1999A_0422" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="205" EndPos="206" width="2" RecSegNo="1"/>
      <labl>
        Serial number of spouse
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons aged 15 years and over
[Question 10 was asked of persons aged 15 years and over.]

10. Marital status

[] 1 Never married
[] 2 Registered married
[] 3 Not registered married
[] 4 Widowed
[] 5 Divorced
[] 6 Separated

Number of a wife (husband) __]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 10. Marital status

This question is usually asked of persons aged 15 years and over, in which case the code corresponding to one of the prompts given is to be circled.

Code 1 "Never married" is to be circled for persons who never were in a registered or in a common law (unregistered) marriage.
Code 2 "Registered marriage" is to be circled for persons presently married, with their marriage being registered with the Civil Registry Office.
Code 3 "Unregistered marriage" (common law marriage) is to be encircled for persons presently married without registration with the Civil Registry Office.
Code 4 "Widowed" is to be encircled for persons who were married earlier (whether their marriage registered or not), but whose marriage stopped because of the death of the spouse and who have not remarried.
Code 5 "Divorced" is to be encircled for persons who were earlier in a registered marriage, but at the moment are unmarried with their divorce being registered with the Civil Registry Office.
Code 6 "Separated" is to be encircled for persons who were earlier in a registered marriage, but at the moment are unmarried and do not jointly keep the house, with their divorce not registered yet with the registry office, as well as for persons who were earlier in unregistered marriage, but at the moment has been separated.

For those married (codes 2 or 3) the serial number under which his wife (husband) is recorded within the dwelling is to be entered in a special box, i.e. the number specified against her/his name in column 1 of the List of residents in dwelling if the wife (husband) is a permanent resident in this household.

For persons under 15 years of age the answer to this question is usually not completed. Only if a person questioned does insist on his/her marriage, the corresponding code should be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Married persons age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the serial number of the spouse in the household record.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </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>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="KG1999A_0423" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="207" EndPos="207" width="1" RecSegNo="1"/>
      <labl>
        Education
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons aged 6 years and over
[Questions 11 to 12 were asked of persons aged 6 years and over.]



11. Education

[] 1 Higher
[] 2 Incomplete higher
[] 3 Secondary specialized
[] 4 Secondary general
[] 5 Primary general
[] 6 Elementary general
[] 7 Without elementary general
[] 8 Illiterate
[] 9 Have graduated from vocational school

Persons with scientific degree, specify


[] 10 Candidate of sciences
[] 11 Doctor of sciences


Educational qualification specified in diploma (codes 1, 2, 3) ____ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11. Education

This question is asked of persons aged 6 years and over, in which case the code corresponding to one of the prompts given is to be circled.

Code 1 "Higher" is to be marked for those graduated from higher education institutions (university, institute, academy) and holding a diploma.
Code 2 "Incomplete higher" is to be marked for persons who attend now or attended earlier higher education establishments and completed half or more of a basic programme of higher education.
For persons who completed in a higher education establishment less than half of educational programme, the educational attainment they had before the higher education establishment is to be marked, i.e. "secondary general" or "secondary specialized".
Code 3 "Secondary specialized" is to be marked for those who graduated from secondary specialized education establishments: technical school, training school (medical, musical, art, trade and culinary, etc.) and received a diploma.
Code 4 "Secondary general" is to be encircled for those who graduated from secondary general education schools (including those with in-depth study of some subjects), gymnasia, lyceums, etc. and received a certificate of secondary general education.
When circling codes for the educational levels "Basic general" - Code 5 (i.e. incomplete secondary) and "Primary general" - Code 6 (i.e. primary), it is expedient to use the table given in Annex 2.
Code 7 "No primary general" is to be circled for persons aged 6 years and over (both pupils and not) who have no primary education but can read and write or only read (even if slowly).
Code 8 "Illiterate" is to be circled for persons aged 6 years and over who can not read.
If when completing enumeration forms the enumerator comes across illiterate persons aged 9-49 years, he/she should record data on those in Form 5.
Code 9 "Have you graduated from vocational school?" is to be circled for persons graduated from secondary or other vocational-technical school (industrial school, specialized industrial and technical school), sectoral vocational school, factory apprenticeship school, and technical school. For persons who graduated from a vocational school and received a certificate of secondary education, code 4 "Secondary general" is also to be marked.

For persons attending now or graduated from religious educational establishments the code corresponding to the educational level attained is to be marked.

For students and graduates of educational establishments not providing general education (e.g., refresher courses, professional development courses, access courses at educational institutions, accounting courses, etc.) the educational attainment is to be recorded, which was achieved before the admission to those educational establishments.

Graduation from correspondence or evening educational establishments, as well as externship, is assimilated with the graduation from relevant educational establishments.

If the enumerator finds difficult to determine the educational attainment, he/she should note on a clear part the name of the educational establishment the person in question graduated from, how many grades he/she completed and in which year.

This question is not to be completed for children under 6 years of age.

For persons having higher education (Code 1), incomplete higher (Code 2) or secondary specialized education (Code 3) the qualification given as a result of graduation from the relevant educational establishment is to be recorded in a specially dedicated place. If a person graduated from two or more educational establishments and received different occupations, the qualification given after graduation from the last educational establishment is to be recorded for him/her.

Qualification is not to be indicated for persons with incomplete higher education (Question 11, Code 2) who continue training in a higher educational establishment (Question 12, Code 1).

This question is not to be completed for persons without higher, incomplete higher or secondary special education.

For persons having an academic degree the relevant code is to be entered: Code 10 "Candidate of Science" or Code 11 "Doctor of Science".]]>
        </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 the person's education level.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Incomplete higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary specialized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Secondary general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Basic general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Primary general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Without elementary general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Illiterate
        </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="V128" name="KG1999A_0424" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="208" EndPos="208" width="1" RecSegNo="1"/>
      <labl>
        Graduated from vocational school
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons aged 6 years and over
[Questions 11 to 12 were asked of persons aged 6 years and over.]



11. Education

[] 1 Higher
[] 2 Incomplete higher
[] 3 Secondary specialized
[] 4 Secondary general
[] 5 Primary general
[] 6 Elementary general
[] 7 Without elementary general
[] 8 Illiterate
[] 9 Have graduated from vocational school

Persons with scientific degree, specify


[] 10 Candidate of sciences
[] 11 Doctor of sciences


Educational qualification specified in diploma (codes 1, 2, 3) ____ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11. Education

This question is asked of persons aged 6 years and over, in which case the code corresponding to one of the prompts given is to be circled.

Code 1 "Higher" is to be marked for those graduated from higher education institutions (university, institute, academy) and holding a diploma.
Code 2 "Incomplete higher" is to be marked for persons who attend now or attended earlier higher education establishments and completed half or more of a basic programme of higher education.
For persons who completed in a higher education establishment less than half of educational programme, the educational attainment they had before the higher education establishment is to be marked, i.e. "secondary general" or "secondary specialized".
Code 3 "Secondary specialized" is to be marked for those who graduated from secondary specialized education establishments: technical school, training school (medical, musical, art, trade and culinary, etc.) and received a diploma.
Code 4 "Secondary general" is to be encircled for those who graduated from secondary general education schools (including those with in-depth study of some subjects), gymnasia, lyceums, etc. and received a certificate of secondary general education.
When circling codes for the educational levels "Basic general" - Code 5 (i.e. incomplete secondary) and "Primary general" - Code 6 (i.e. primary), it is expedient to use the table given in Annex 2.
Code 7 "No primary general" is to be circled for persons aged 6 years and over (both pupils and not) who have no primary education but can read and write or only read (even if slowly).
Code 8 "Illiterate" is to be circled for persons aged 6 years and over who can not read.
If when completing enumeration forms the enumerator comes across illiterate persons aged 9-49 years, he/she should record data on those in Form 5.
Code 9 "Have you graduated from vocational school?" is to be circled for persons graduated from secondary or other vocational-technical school (industrial school, specialized industrial and technical school), sectoral vocational school, factory apprenticeship school, and technical school. For persons who graduated from a vocational school and received a certificate of secondary education, code 4 "Secondary general" is also to be marked.

For persons attending now or graduated from religious educational establishments the code corresponding to the educational level attained is to be marked.

For students and graduates of educational establishments not providing general education (e.g., refresher courses, professional development courses, access courses at educational institutions, accounting courses, etc.) the educational attainment is to be recorded, which was achieved before the admission to those educational establishments.

Graduation from correspondence or evening educational establishments, as well as externship, is assimilated with the graduation from relevant educational establishments.

If the enumerator finds difficult to determine the educational attainment, he/she should note on a clear part the name of the educational establishment the person in question graduated from, how many grades he/she completed and in which year.

This question is not to be completed for children under 6 years of age.

For persons having higher education (Code 1), incomplete higher (Code 2) or secondary specialized education (Code 3) the qualification given as a result of graduation from the relevant educational establishment is to be recorded in a specially dedicated place. If a person graduated from two or more educational establishments and received different occupations, the qualification given after graduation from the last educational establishment is to be recorded for him/her.

Qualification is not to be indicated for persons with incomplete higher education (Question 11, Code 2) who continue training in a higher educational establishment (Question 12, Code 1).

This question is not to be completed for persons without higher, incomplete higher or secondary special education.

For persons having an academic degree the relevant code is to be entered: Code 10 "Candidate of Science" or Code 11 "Doctor of Science".]]>
        </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 graduated from vocational school.
      </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="V129" name="KG1999A_0425" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="209" EndPos="209" width="1" RecSegNo="1"/>
      <labl>
        Persons with scientific degree
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons aged 6 years and over
[Questions 11 to 12 were asked of persons aged 6 years and over.]



11. Education

[] 1 Higher
[] 2 Incomplete higher
[] 3 Secondary specialized
[] 4 Secondary general
[] 5 Primary general
[] 6 Elementary general
[] 7 Without elementary general
[] 8 Illiterate
[] 9 Have graduated from vocational school

Persons with scientific degree, specify


[] 10 Candidate of sciences
[] 11 Doctor of sciences


Educational qualification specified in diploma (codes 1, 2, 3) ____ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 11. Education

This question is asked of persons aged 6 years and over, in which case the code corresponding to one of the prompts given is to be circled.

Code 1 "Higher" is to be marked for those graduated from higher education institutions (university, institute, academy) and holding a diploma.
Code 2 "Incomplete higher" is to be marked for persons who attend now or attended earlier higher education establishments and completed half or more of a basic programme of higher education.
For persons who completed in a higher education establishment less than half of educational programme, the educational attainment they had before the higher education establishment is to be marked, i.e. "secondary general" or "secondary specialized".
Code 3 "Secondary specialized" is to be marked for those who graduated from secondary specialized education establishments: technical school, training school (medical, musical, art, trade and culinary, etc.) and received a diploma.
Code 4 "Secondary general" is to be encircled for those who graduated from secondary general education schools (including those with in-depth study of some subjects), gymnasia, lyceums, etc. and received a certificate of secondary general education.
When circling codes for the educational levels "Basic general" - Code 5 (i.e. incomplete secondary) and "Primary general" - Code 6 (i.e. primary), it is expedient to use the table given in Annex 2.
Code 7 "No primary general" is to be circled for persons aged 6 years and over (both pupils and not) who have no primary education but can read and write or only read (even if slowly).
Code 8 "Illiterate" is to be circled for persons aged 6 years and over who can not read.
If when completing enumeration forms the enumerator comes across illiterate persons aged 9-49 years, he/she should record data on those in Form 5.
Code 9 "Have you graduated from vocational school?" is to be circled for persons graduated from secondary or other vocational-technical school (industrial school, specialized industrial and technical school), sectoral vocational school, factory apprenticeship school, and technical school. For persons who graduated from a vocational school and received a certificate of secondary education, code 4 "Secondary general" is also to be marked.

For persons attending now or graduated from religious educational establishments the code corresponding to the educational level attained is to be marked.

For students and graduates of educational establishments not providing general education (e.g., refresher courses, professional development courses, access courses at educational institutions, accounting courses, etc.) the educational attainment is to be recorded, which was achieved before the admission to those educational establishments.

Graduation from correspondence or evening educational establishments, as well as externship, is assimilated with the graduation from relevant educational establishments.

If the enumerator finds difficult to determine the educational attainment, he/she should note on a clear part the name of the educational establishment the person in question graduated from, how many grades he/she completed and in which year.

This question is not to be completed for children under 6 years of age.

For persons having higher education (Code 1), incomplete higher (Code 2) or secondary specialized education (Code 3) the qualification given as a result of graduation from the relevant educational establishment is to be recorded in a specially dedicated place. If a person graduated from two or more educational establishments and received different occupations, the qualification given after graduation from the last educational establishment is to be recorded for him/her.

Qualification is not to be indicated for persons with incomplete higher education (Question 11, Code 2) who continue training in a higher educational establishment (Question 12, Code 1).

This question is not to be completed for persons without higher, incomplete higher or secondary special education.

For persons having an academic degree the relevant code is to be entered: Code 10 "Candidate of Science" or Code 11 "Doctor of Science".]]>
        </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 the persons with scientific degree.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Candidate of sciences
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Doctor of sciences
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No scientific degree
        </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="V130" name="KG1999A_0427" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="210" EndPos="210" width="1" RecSegNo="1"/>
      <labl>
        Type of educational institution attending
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons aged 6 years and over
[Questions 11 to 12 were asked of persons aged 6 years and over.]



12. Type of educational institution you are attending

[] 1 Higher educational institution
[] 2 Secondary specialized educational institution
[] 3 Vocational training school
[] 4 General educational institution of all types
[] 5 Other school (courses)
[] 6 Not attending]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 12. Type of educational establishment you are attending

For persons aged 6 years and over, students of all day-time, evening or correspondence educational establishments (both state-owned and non-state) and courses the code corresponding to one of the prompts given is to be circled.

Code 1 "higher education establishment" is to be marked for students of higher education establishments: institutes, academies, universities, etc.
Code 2 "secondary specialized education establishment" is to be marked for students of technical schools (specialized schools), colleges, technical schools at enterprises, etc.
Code 3 "vocational-technical education establishment" is to be marked for students of vocational schools, vocational lyceums, continuous vocational training centres, technical schools, industrial schools, specialized trade schools, etc.
Code 4 "general educational establishments of all types" is to be marked for pupils of primary, basic, secondary general education schools, (including those with in-depth study of selected subjects), lyceums, gymnasiums, etc.
Code 5 "other school (courses)" is to be marked for pupils of schools and courses not providing general education (retraining or professional improvement courses, preparatory courses at educational establishments), as well as courses providing vocational training (driving schools, courses for bookkeepers, translators, secretaries, etc.).
For persons concurrently attending two educational establishments the highest in status and type establishment is to be marked.
Code 6 "not attending" is to be marked for persons aged 6 years and over not attending any educational establishment and also for those attending circles (needlework, photography) irrespective of the duration of training. If in the course of enumeration the enumerator comes across children at the age of 7-15 years not attending any educational establishment, data on them are to be recorded in the Annex to Form 5.

For persons attending religious educational establishments, irrespective of their affiliation or subordination, the code corresponding to the type of educational establishment is to be marked.

For children under 6 years of age this question is not to be completed.]]>
        </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 the type of educational institution the person is attending.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Higher educational institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary specialised educational institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Vocational training school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          General educational institution of all types
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other school (courses)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="KG1999A_0428" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="211" EndPos="211" width="1" RecSegNo="1"/>
      <labl>
        Attending preschool institution
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
Persons of preschool age
[Question 13 was asked of persons of preschool age.]

13. Are attending preschool institution?

[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 13. Is the child attending a preschool institution?

This question is asked of parents having children of preschool age, in which case the code corresponding to one of the prompts given is to be circled.

Code 1 "Yes" is to be marked for children attending preschool institutions like nurseries, preprimary schools, and kindergartens irrespective of their ownership. If at the moment of census a child is temporarily away from the preschool institution, e.g., because of illness, "Yes" is to be also marked for it.

Code 2 "No" is to be marked for children not attending preschool institutions.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons of "preschool age" not attending other school
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person is attending preschool institution.
      </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">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="KG1999A_0429" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="212" EndPos="212" width="1" RecSegNo="1"/>
      <labl>
        Salaried employment at an enterprise, organization, institution
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person has a salaried employment at an enterprise, organization or an institution.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="KG1999A_0430" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="213" EndPos="213" width="1" RecSegNo="1"/>
      <labl>
        Salaried employment in a farm
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person has a salaried employment in a farm. The "no" category may include people who did not respond.
      </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>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="KG1999A_0431" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="214" EndPos="214" width="1" RecSegNo="1"/>
      <labl>
        Salaried employment for individuals
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is employed on an individual basis by individuals or renders household services for payment.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="KG1999A_0432" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="215" EndPos="215" width="1" RecSegNo="1"/>
      <labl>
        Owners of enterprises, farms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is an owner of enterprises or farms.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="KG1999A_0433" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="216" EndPos="216" width="1" RecSegNo="1"/>
      <labl>
        Employment on individual basis
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is self-employed and engaged in individual professional or commercial activity.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V137" name="KG1999A_0434" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="217" EndPos="217" width="1" RecSegNo="1"/>
      <labl>
        Unpaid family worker
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is unpaid family worker employed at family enterprises or at farms.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="KG1999A_0435" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="218" EndPos="218" width="1" RecSegNo="1"/>
      <labl>
        Personal subsidiary plots
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person works at personal subsidiary plots, livestock management and other agriculture related works.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="KG1999A_0436" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="219" EndPos="219" width="1" RecSegNo="1"/>
      <labl>
        Scholarship/stipend
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is receiving scholarship or stipend.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="KG1999A_0437" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="220" EndPos="220" width="1" RecSegNo="1"/>
      <labl>
        Pension
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is receiving old age or retirement, disability, or long service pension.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="KG1999A_0438" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="221" EndPos="221" width="1" RecSegNo="1"/>
      <labl>
        Benefits and allowances, excluding unemployment benefits
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </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 person is receiving benefits and allowances, excluding unemployment benefits.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="KG1999A_0439" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="222" EndPos="222" width="1" RecSegNo="1"/>
      <labl>
        Unemployment benefits
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is receiving unemployment benefits.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="KG1999A_0440" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="223" EndPos="223" width="1" RecSegNo="1"/>
      <labl>
        Other type of state maintenance
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is receiving other government supports, not mentioned above in the census.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="KG1999A_0441" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="224" EndPos="224" width="1" RecSegNo="1"/>
      <labl>
        Income from property
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is receiving income from property. It includes income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.

The "no" category may include people who did not respond.]]>
      </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>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="KG1999A_0442" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="225" EndPos="225" width="1" RecSegNo="1"/>
      <labl>
        On dependence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </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 person is a dependent.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          On dependence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not on dependence
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V146" name="KG1999A_0443" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="226" EndPos="226" width="1" RecSegNo="1"/>
      <labl>
        Other sources of income
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates whether the person is receiving other sources of income, not listed above in the census questionnaire.

The "no" category may include people who did not respond.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Other sources of income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V147" name="KG1999A_0444" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="227" EndPos="228" width="2" RecSegNo="1"/>
      <labl>
        Main source of income
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="15"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's main source of income.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Salaried employment at an enterprise, organization, institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Salaried employment in a farm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Salaried employment for individuals (including rendering household services)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Owners of enterprises, farms (employer)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Employment on individual basis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Employment at family interprises, unpaid at farms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Personal subsidiary plots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Scholarship/stipend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Benefits and allowances, excluding unemployment benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unemployment benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other type of state maintenance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Income from property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          On dependence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Other sources of income
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="KG1999A_0445" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="229" EndPos="231" width="3" RecSegNo="1"/>
      <labl>
        Activity type of an enterprise you are working in
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
15. Population employment

a) Name and activity type of an enterprise you are working in or specify the type of work you do ________ _ _ _
b) Place of work (name of town, rayon, country) ____ _ _ _


16. Main activity (detailed title of position, profession or performed work) ________ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 15. Employment

This question is to be completed for both employed and self-employed.

In subquestion a) "the name and type of activity of the enterprise where you work or the type of work you do" a full name of the enterprise, institution or organization of the person's questioned primary employment is to be completed in order it could be possible to determine the activity of the employment. For instance, it should be recorded not "LLC Bereke", but "LLC cafe Bereke", not "JSC factory named after All-Union Leninist Young Communist League", but "JSC clothing manufactory named after All-Union Leninist Young Communist League". In selected cases only the branch or the kind of production can be specified, e.g.: "Glass manufacturing plant", "Brick works" or "Chemical factory", "Coca-cola production joint venture".

For persons employed at diversified enterprises, e.g., at a company or concern, not the name of the company or concern itself should be recorded, but the names of specific enterprises that company or concern comprises (e.g., not the name of the company "Eridan" is to be recorded, but a detailed name of an extractive, trade or manufacturing enterprise, etc.).

If a person interviewed works as a full-time official of trade union or other public associations, the name of the enterprise and the activity "trade union" are to be recorded.

For persons working in workshops, ateliers, and service centres a full name of a given enterprise should be recorded: "Sewing workshop", "Shoe-repair store".

Dear enumerator! You have made a mistake if in question 15 after the name of the enterprise where the person questioned works you failed to specify the exact activity of this enterprise or the type of work done. Please, go back to this question and, if necessary, revise the record.

When completing question 15, the enumerator is to obey the following:

- if in question 14, codes 1, 2 or 3 are circled for sources of livelihood, the name and by all means the activity of the enterprise should be recorded;
- if in question 14, codes 4, 5 or 6 are circled for sources of livelihood, the name of the enterprise and by all means the specific type of work done are to be recorded;
- if in question 14, code 7 is circled for a source of livelihood, "personal subsidiary plot" is to be entered.

Names of enterprises and institutions should not be recorded as abbreviations (e.g., it is impermissible to specify JPF instead of "Joint peasant farm"). Only well-known abbreviations can be admitted (e.g., ??? (TPP), ???? (Civil Registry Office)).

For persons working in canteens, first-aid posts, barbershops, etc. attached to enterprises or firms, the name of the canteen, first-aid post, barbershop, etc., but not the name of the enterprise or firm, workers of which they serve, is to be recorded (e.g., "Canteen of the worsted-woolen integrated works").

For persons employed by individuals the corresponding type of activity is to be recorded, e.g. for a salesman engaged in retail trade "retail trade" is to be recorded, and for a self-employed person (e.g., a secretary, tutor, baby-sitter, cook, driver) "rendering household services" is to be entered.

For persons engaged in "shuttle business", "wholesale trade" is to be specified if they are only engaged in purchase and delivery of goods. If those persons along with purchase and delivery of goods are also engaged in sale thereof, "retail trade" is to be recorded for them.

For persons engaged in own farming, "agriculture" is to be recorded with indication of a specific area (crop production, animal husbandry, etc.) or the kind of work done.

For self-employed persons the type of their activity is to be recorded, e.g., "overclothes tailoring", but not "business". A specific activity should be indicated, e.g. "real estate business", "wholesale trade", etc.
For unpaid family workers or unpaid workers of farming holding a detailed name of the enterprise and its activity should be recorded or "agriculture" with indication of a specific area (crop production, animal husbandry, etc.) or the kind of work done.

Military servicemen, wage and salary workers of military units and institutions living outside closed territories are to answer in accordance with the instructions of their authorities. If military servicemen, wage and salary workers of military units for any reason (absent from briefing or because of forgetfulness) are not able to answer, "institution" is to be recorded as their place of employment.

For ministers of religion and persons engaged in the field of religious faiths, the name of the religious service place is to be recorded (mosque, church, synagogue, etc.)

For persons having permanent employment and at the same time receiving a pension, benefit, scholarship or engaged in work in own personal subsidiary plot, the name of the enterprise where they work and its activity is to be recorded.

For persons having double (or more) employment the employment which the person questioned regards as main is to be recorded.

For all persons having no employment, children inclusive, "No" is to be filled in.
In subquestion b) "place of work" the answer is to be completed for all persons with the first part of question 15 completed.

For those living and working in Kyrgyzstan the name of the city or district where the place of employment is located is to be entered. For instance, if a person questioned lives in the village of Lebedinovka and works in the city of Bishkek, "city of Bishkek" is to be recorded.

For persons working in the territory of other countries (states) the name of this territory is to be entered. For instance, if a person questioned lives in the city of Kara-Su and works in the city of Andizhan, "Uzbekistan" is to be filled in for him/her.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="11" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+ who are working
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the industry the person works in.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed farming)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite (brown coal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Other mining and quarrying n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preserving of meat and fish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of oils and fats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning of textile fibres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Finishing of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Manufacture of made-up textile articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          Manufacture of knitted and crocheted articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of leather clothes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Manufacture of textile wearing apparel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of luggage, handbags and the like
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Manufacture of builders' carpentry and joinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Manufacture of pharmaceuticals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastic products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Manufacture of bricks and tiles, in baked clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Manufacture of cement, lime and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Manufacture of articles of concrete, plaster and cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Cutting, shaping and finishing of stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Manufacture of non-ferrous metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          Manufacture of cutlery, tools and general hardware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          Manufacture of other fabricated metal products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of mechanical equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of agricultural machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Manufacture of machine-tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Manufacture of other special purpose machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office machinery and computers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of lighting equipment and electric lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic components
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or video recording or reproducing apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of instruments for measuring, checking, testing and other purposes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of industrial process control equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufacture of trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          Other manufacturing, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production and distribution of electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture and distribution of gaseous fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions; civil engineering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction equipment with operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Wholesale of industrial equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Other wholesale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Retail sale in non-specialized stores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food in specialized stores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Retail sale of pharmaceutical and cosmetic and toilet articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Other retail sale in specialized stores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Retail sale not in stores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Other provision of short-stay accommodation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          Restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          Bars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          Canteens and catering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Municipal and road transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Cargo handling and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Other supporting transport activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Activities of travel agencies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Cargo transport management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Communications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Letting of own property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Computer system consultancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences and engineering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal, accounting, book-keeping and auditing activities; tax consultancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural and engineering activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Technical testing and analysis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Advertising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Labour recruitment and provision of personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          746
        </catValu>
        <labl>
          Investigation and security activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Miscellaneous business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social policy of the community
        </labl>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole (MIA and MD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Adult and other education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          888
        </catValu>
        <labl>
          Not responded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage, sanitary fills and refuse disposal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers' and professional organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture and video activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          Radio and television activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Other entertainment activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          925
        </catValu>
        <labl>
          Other cultural activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          926
        </catValu>
        <labl>
          Sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          927
        </catValu>
        <labl>
          Entertainment and recreational activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Individual service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          944
        </catValu>
        <labl>
          Artists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other industry, response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Industry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V149" name="KG1999A_0446" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="232" EndPos="235" width="4" RecSegNo="1"/>
      <labl>
        Location of work
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
15. Population employment

a) Name and activity type of an enterprise you are working in or specify the type of work you do ________ _ _ _
b) Place of work (name of town, rayon, country) ____ _ _ _


16. Main activity (detailed title of position, profession or performed work) ________ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 15. Employment

This question is to be completed for both employed and self-employed.

In subquestion a) "the name and type of activity of the enterprise where you work or the type of work you do" a full name of the enterprise, institution or organization of the person's questioned primary employment is to be completed in order it could be possible to determine the activity of the employment. For instance, it should be recorded not "LLC Bereke", but "LLC cafe Bereke", not "JSC factory named after All-Union Leninist Young Communist League", but "JSC clothing manufactory named after All-Union Leninist Young Communist League". In selected cases only the branch or the kind of production can be specified, e.g.: "Glass manufacturing plant", "Brick works" or "Chemical factory", "Coca-cola production joint venture".

For persons employed at diversified enterprises, e.g., at a company or concern, not the name of the company or concern itself should be recorded, but the names of specific enterprises that company or concern comprises (e.g., not the name of the company "Eridan" is to be recorded, but a detailed name of an extractive, trade or manufacturing enterprise, etc.).

If a person interviewed works as a full-time official of trade union or other public associations, the name of the enterprise and the activity "trade union" are to be recorded.

For persons working in workshops, ateliers, and service centres a full name of a given enterprise should be recorded: "Sewing workshop", "Shoe-repair store".

Dear enumerator! You have made a mistake if in question 15 after the name of the enterprise where the person questioned works you failed to specify the exact activity of this enterprise or the type of work done. Please, go back to this question and, if necessary, revise the record.

When completing question 15, the enumerator is to obey the following:

- if in question 14, codes 1, 2 or 3 are circled for sources of livelihood, the name and by all means the activity of the enterprise should be recorded;
- if in question 14, codes 4, 5 or 6 are circled for sources of livelihood, the name of the enterprise and by all means the specific type of work done are to be recorded;
- if in question 14, code 7 is circled for a source of livelihood, "personal subsidiary plot" is to be entered.

Names of enterprises and institutions should not be recorded as abbreviations (e.g., it is impermissible to specify JPF instead of "Joint peasant farm"). Only well-known abbreviations can be admitted (e.g., ??? (TPP), ???? (Civil Registry Office)).

For persons working in canteens, first-aid posts, barbershops, etc. attached to enterprises or firms, the name of the canteen, first-aid post, barbershop, etc., but not the name of the enterprise or firm, workers of which they serve, is to be recorded (e.g., "Canteen of the worsted-woolen integrated works").

For persons employed by individuals the corresponding type of activity is to be recorded, e.g. for a salesman engaged in retail trade "retail trade" is to be recorded, and for a self-employed person (e.g., a secretary, tutor, baby-sitter, cook, driver) "rendering household services" is to be entered.

For persons engaged in "shuttle business", "wholesale trade" is to be specified if they are only engaged in purchase and delivery of goods. If those persons along with purchase and delivery of goods are also engaged in sale thereof, "retail trade" is to be recorded for them.

For persons engaged in own farming, "agriculture" is to be recorded with indication of a specific area (crop production, animal husbandry, etc.) or the kind of work done.

For self-employed persons the type of their activity is to be recorded, e.g., "overclothes tailoring", but not "business". A specific activity should be indicated, e.g. "real estate business", "wholesale trade", etc.
For unpaid family workers or unpaid workers of farming holding a detailed name of the enterprise and its activity should be recorded or "agriculture" with indication of a specific area (crop production, animal husbandry, etc.) or the kind of work done.

Military servicemen, wage and salary workers of military units and institutions living outside closed territories are to answer in accordance with the instructions of their authorities. If military servicemen, wage and salary workers of military units for any reason (absent from briefing or because of forgetfulness) are not able to answer, "institution" is to be recorded as their place of employment.

For ministers of religion and persons engaged in the field of religious faiths, the name of the religious service place is to be recorded (mosque, church, synagogue, etc.)

For persons having permanent employment and at the same time receiving a pension, benefit, scholarship or engaged in work in own personal subsidiary plot, the name of the enterprise where they work and its activity is to be recorded.

For persons having double (or more) employment the employment which the person questioned regards as main is to be recorded.

For all persons having no employment, children inclusive, "No" is to be filled in.
In subquestion b) "place of work" the answer is to be completed for all persons with the first part of question 15 completed.

For those living and working in Kyrgyzstan the name of the city or district where the place of employment is located is to be entered. For instance, if a person questioned lives in the village of Lebedinovka and works in the city of Bishkek, "city of Bishkek" is to be recorded.

For persons working in the territory of other countries (states) the name of this territory is to be entered. For instance, if a person questioned lives in the city of Kara-Su and works in the city of Andizhan, "Uzbekistan" is to be filled in for him/her.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="320" max="9999"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+ who are working
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the location (city, state or country) of work.
      </txt>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          East Timor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Other foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          City of Bishkek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Ak-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Dzheti-Oguz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Issyk Kul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Tonsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2225
        </catValu>
        <labl>
          Tyup district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          City of Karakol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          City of Balykchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Ala-Bukin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Bazar-Korgon district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Aksyi district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3215
        </catValu>
        <labl>
          Nooken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Suzak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Toguz-Torouz district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3225
        </catValu>
        <labl>
          Toktogul district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Chatkalsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          City of Dzhalal Abad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          City of Kara-Kul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          City of Kok-Yangak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3415
        </catValu>
        <labl>
          City of MaiLuu-Suu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3422
        </catValu>
        <labl>
          City of Tash-Kumyr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Ak-Talin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          At-Bashin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4230
        </catValu>
        <labl>
          Dzhumgal district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4235
        </catValu>
        <labl>
          Kochkor district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4245
        </catValu>
        <labl>
          Tien Shan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4401
        </catValu>
        <labl>
          City of Naryn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5214
        </catValu>
        <labl>
          Batken district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5236
        </catValu>
        <labl>
          Lailyak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5258
        </catValu>
        <labl>
          Kadamzhai district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5411
        </catValu>
        <labl>
          City of Kyzyl-Kiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5419
        </catValu>
        <labl>
          City of Suliukta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6207
        </catValu>
        <labl>
          Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6211
        </catValu>
        <labl>
          Aravan district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6226
        </catValu>
        <labl>
          Kara-Suisk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6242
        </catValu>
        <labl>
          Nookat district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6246
        </catValu>
        <labl>
          Kara-Kuldjin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6255
        </catValu>
        <labl>
          Uzghen district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6259
        </catValu>
        <labl>
          Chon-Alay district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6401
        </catValu>
        <labl>
          City of Osh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7215
        </catValu>
        <labl>
          Kara-Buurin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7220
        </catValu>
        <labl>
          Bakai-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7225
        </catValu>
        <labl>
          Manas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7232
        </catValu>
        <labl>
          Talas district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7401
        </catValu>
        <labl>
          City of Talas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8203
        </catValu>
        <labl>
          Alamudun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8206
        </catValu>
        <labl>
          Ysyk-Atinsk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8209
        </catValu>
        <labl>
          Zhaiyl district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8213
        </catValu>
        <labl>
          Kemin district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8217
        </catValu>
        <labl>
          Moscow district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8219
        </catValu>
        <labl>
          Panfilov district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8222
        </catValu>
        <labl>
          Sokuluk district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8414
        </catValu>
        <labl>
          City of Chui-Tokmok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8800
        </catValu>
        <labl>
          Kyrgyz Republic, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V150" name="KG1999A_0455" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="236" EndPos="238" width="3" RecSegNo="1"/>
      <labl>
        Occupation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
15. Population employment

a) Name and activity type of an enterprise you are working in or specify the type of work you do ________ _ _ _
b) Place of work (name of town, rayon, country) ____ _ _ _


16. Main activity (detailed title of position, profession or performed work) ________ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 16. Main activity (a detailed name of position, occupation or work done)

For all persons having employment the name of the position, occupation or duties is to be recorded.
For persons combining multiple jobs only the activity is to be recorded which the person questioned considers his/her main activity.

If a person questioned is temporarily involved in the activity outside his main occupation, the main activity is to be recorded.

The position, occupation or duties are to be recorded in detail. One must not just record "director", "chief of department", "main specialist", "specialist", "trainee", "adviser", "expert", "master", "operator", "laboratory technician", but should indicate, for instance, "deputy director for economy", "chief of the marketing department", "main specialist in broadcasting" "personnel specialist", "information protection expert", "hospital trainee", "adviser on economic questions", "legislative counsel", "expert physicist", "shotfirer", "computer operator", "machine milking operator", "analyst in chemistry laboratory", etc.

"Unskilled laborer or helper" is to be only recorded for those engaged in different odd-jobs (excluding agricultural works), but in other cases the nature of work performed should be determined and recorded, for instance, "loader".

"Agriculture" should be only recorded for persons without any definite specific duties who are engaged in various unskilled works at agricultural enterprises (farms). For persons with definite duties in agriculture their occupation is to be recorded (e.g.: "horse wrangler", "shepherd", "horse-breeder", "cattleman").

For self-employed persons the name of their occupation is to be indicated (for instance, "photographer", "dentist", "composer", "lacemaker", "sewer", "market seller", "vendor", etc.).

For persons employed to provide services to private households their positions should be recorded: "personal secretary", "cook", "baby-sitter", "tutor", etc.

For members of a farming (peasant) enterprise the name of occupation should be recorded according to the area of specialization of the enterprise, for instance, "stock-farmer", etc.

For persons only working without pay for their family business or farm their prevailing duties should be recorded. For example, if a family worker is the most of time engaged in unloading of goods, for him/her "loader" should be recorded; if he/she is constantly engaged in bread making, "panification" should be specified, etc.

For persons only engaged in developing own personal subsidiary plots (agricultural works or cattle management), "personal subsidiary plot" is to be indicated.

For military servicemen (other than army conscripts), wage and salary workers of military units and institutions living outside closed territories, whose positions cannot be assimilated to similar civil positions, "salary worker" is to be entered.

For persons having permanent employment and at the same time receiving a pension, benefit, scholarship or engaged in work at own personal subsidiary plot, the occupation or functions in this employment are to be recorded.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="111" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+ who are working
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's 3-digit occupation.
      </txt>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Food technologies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Textile industry technologies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          Other service industry personnel, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Maintenance technicican of underground gas pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Water dispenser
        </labl>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Gardener
        </labl>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Energy control inspector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Copying machine operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Glass-painter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restrorer of works of art and decorative articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Glaziers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Black oxide finisher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          726
        </catValu>
        <labl>
          Aligner of optical instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          727
        </catValu>
        <labl>
          Tuner of diamond and superhard instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          Coater of electrodes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Dust chamber cleaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          746
        </catValu>
        <labl>
          Electrical machine operator (toys and school materials)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Foreman (full-time) for track maintenance and repair, roadworker, ship's circuit installer and air instrument and electric equipment mechanic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Electrician of exchange TV-equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          761
        </catValu>
        <labl>
          Logger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Manufacturer of reinforced concrete towers and pillers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          888
        </catValu>
        <labl>
          No response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          917
        </catValu>
        <labl>
          Sweepers and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          918
        </catValu>
        <labl>
          Sweepers and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport labourers and freight handlers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          935
        </catValu>
        <labl>
          Industrial unskilled laborers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Other unskilled laborers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Occupation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V151" name="KG1999A_0447" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="239" EndPos="242" width="4" RecSegNo="1"/>
      <labl>
        Main activity
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
15. Population employment

a) Name and activity type of an enterprise you are working in or specify the type of work you do ________ _ _ _
b) Place of work (name of town, rayon, country) ____ _ _ _


16. Main activity (detailed title of position, profession or performed work) ________ _ _ _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 16. Main activity (a detailed name of position, occupation or work done)

For all persons having employment the name of the position, occupation or duties is to be recorded.
For persons combining multiple jobs only the activity is to be recorded which the person questioned considers his/her main activity.

If a person questioned is temporarily involved in the activity outside his main occupation, the main activity is to be recorded.

The position, occupation or duties are to be recorded in detail. One must not just record "director", "chief of department", "main specialist", "specialist", "trainee", "adviser", "expert", "master", "operator", "laboratory technician", but should indicate, for instance, "deputy director for economy", "chief of the marketing department", "main specialist in broadcasting" "personnel specialist", "information protection expert", "hospital trainee", "adviser on economic questions", "legislative counsel", "expert physicist", "shotfirer", "computer operator", "machine milking operator", "analyst in chemistry laboratory", etc.

"Unskilled laborer or helper" is to be only recorded for those engaged in different odd-jobs (excluding agricultural works), but in other cases the nature of work performed should be determined and recorded, for instance, "loader".

"Agriculture" should be only recorded for persons without any definite specific duties who are engaged in various unskilled works at agricultural enterprises (farms). For persons with definite duties in agriculture their occupation is to be recorded (e.g.: "horse wrangler", "shepherd", "horse-breeder", "cattleman").

For self-employed persons the name of their occupation is to be indicated (for instance, "photographer", "dentist", "composer", "lacemaker", "sewer", "market seller", "vendor", etc.).

For persons employed to provide services to private households their positions should be recorded: "personal secretary", "cook", "baby-sitter", "tutor", etc.

For members of a farming (peasant) enterprise the name of occupation should be recorded according to the area of specialization of the enterprise, for instance, "stock-farmer", etc.

For persons only working without pay for their family business or farm their prevailing duties should be recorded. For example, if a family worker is the most of time engaged in unloading of goods, for him/her "loader" should be recorded; if he/she is constantly engaged in bread making, "panification" should be specified, etc.

For persons only engaged in developing own personal subsidiary plots (agricultural works or cattle management), "personal subsidiary plot" is to be indicated.

For military servicemen (other than army conscripts), wage and salary workers of military units and institutions living outside closed territories, whose positions cannot be assimilated to similar civil positions, "salary worker" is to be entered.

For persons having permanent employment and at the same time receiving a pension, benefit, scholarship or engaged in work at own personal subsidiary plot, the occupation or functions in this employment are to be recorded.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1110" max="9999"/>
      </valrng>
      <universe clusion="I">
        Persons age 16+ who are working
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's 4-digit occupation.
      </txt>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Legislators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Senior government officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1129
        </catValu>
        <labl>
          Chairman of committee (commission)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1142
        </catValu>
        <labl>
          Senior officials of employers', workers' and other economic-interest organisations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1143
        </catValu>
        <labl>
          Senior officials of humanitarian and other special-interest organisations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1221
        </catValu>
        <labl>
          Production and operations department managers in agriculture, hunting, forestry and fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1222
        </catValu>
        <labl>
          Production and operations department managers in manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1223
        </catValu>
        <labl>
          Production and operations department managers in construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1224
        </catValu>
        <labl>
          Production and operations department managers in wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1225
        </catValu>
        <labl>
          Production and operations department managers in restaurants and hotels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1226
        </catValu>
        <labl>
          Production and operations department managers in transport, storage and communications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1227
        </catValu>
        <labl>
          Production and operations department managers in business services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1228
        </catValu>
        <labl>
          Production and operations department managers in personal care, cleaning and related services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1229
        </catValu>
        <labl>
          Production and operations department managers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1231
        </catValu>
        <labl>
          Finance and administration department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1232
        </catValu>
        <labl>
          Personnel and industrial relations department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1233
        </catValu>
        <labl>
          Sales and marketing department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1234
        </catValu>
        <labl>
          Advertising and public relations department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1235
        </catValu>
        <labl>
          Supply and distribution department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1236
        </catValu>
        <labl>
          Computing services department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1237
        </catValu>
        <labl>
          Research and development department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1238
        </catValu>
        <labl>
          Research and development department managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1239
        </catValu>
        <labl>
          Other department managers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          General managers in agriculture, hunting, forestry/ and fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          General managers in manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <labl>
          General managers in construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1314
        </catValu>
        <labl>
          General managers in wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1315
        </catValu>
        <labl>
          General managers of restaurants and hotels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1316
        </catValu>
        <labl>
          General managers in transport, storage and communications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1317
        </catValu>
        <labl>
          General managers of business services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1318
        </catValu>
        <labl>
          General managers in personal care, cleaning and related services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1319
        </catValu>
        <labl>
          General managers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Physicists and astronomers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Meteorologists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Chemists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2114
        </catValu>
        <labl>
          Geologists and geophysicists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Mathematicians and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Statisticians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2123
        </catValu>
        <labl>
          Quality engineer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2131
        </catValu>
        <labl>
          Computer systems designers and analysts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2132
        </catValu>
        <labl>
          Computer programmers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2139
        </catValu>
        <labl>
          Computing professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          Architects, town and traffic planners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2142
        </catValu>
        <labl>
          Civil engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2143
        </catValu>
        <labl>
          Electrical engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2144
        </catValu>
        <labl>
          Electronics and telecommunications engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2145
        </catValu>
        <labl>
          Mechanical engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2146
        </catValu>
        <labl>
          Chemical engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2147
        </catValu>
        <labl>
          Mining engineers, metallurgists and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2148
        </catValu>
        <labl>
          Cartographers and surveyors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2149
        </catValu>
        <labl>
          Architects, engineers and related professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Biologists, botanists, zoologists and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Pharmacologists, pathologists and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Agronomists and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2221
        </catValu>
        <labl>
          Medical doctors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2222
        </catValu>
        <labl>
          Dentists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2223
        </catValu>
        <labl>
          Veterinarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2224
        </catValu>
        <labl>
          Pharmacists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2228
        </catValu>
        <labl>
          Dentist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2229
        </catValu>
        <labl>
          Health professionals (except nursing) not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          College, university and higher education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          College, university and higher education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Primary education teaching professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Primary education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Pre-primary education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2351
        </catValu>
        <labl>
          Education methods specialists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2352
        </catValu>
        <labl>
          School inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2359
        </catValu>
        <labl>
          Other teaching professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Accountants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Personnel and careers professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Marketing expert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2419
        </catValu>
        <labl>
          Business professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Lawyers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Judges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2429
        </catValu>
        <labl>
          Legal professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Archivists and curators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2432
        </catValu>
        <labl>
          Librarians and related information professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2441
        </catValu>
        <labl>
          Economists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2442
        </catValu>
        <labl>
          Sociologists, anthropologists and related professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2443
        </catValu>
        <labl>
          Philosophers, historians and political scientists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2444
        </catValu>
        <labl>
          Philologists, translators and interpreters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2445
        </catValu>
        <labl>
          Psychologists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2446
        </catValu>
        <labl>
          Social work professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2451
        </catValu>
        <labl>
          Authors, journalists and other writers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2452
        </catValu>
        <labl>
          Sculptors, painters and related artists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2453
        </catValu>
        <labl>
          Composers, musicians and singers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2454
        </catValu>
        <labl>
          Choreographers and dancers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2455
        </catValu>
        <labl>
          Film, stage and related actors and directors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2460
        </catValu>
        <labl>
          Religious professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2470
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Chemical and physical science technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          Civil engineering technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Electrical engineering technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3114
        </catValu>
        <labl>
          Electronics and telecommunications engineering technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3115
        </catValu>
        <labl>
          Mechanical engineering technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3116
        </catValu>
        <labl>
          Chemical engineering technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3117
        </catValu>
        <labl>
          Mining and metallurgical technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3118
        </catValu>
        <labl>
          Draughtspersons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3119
        </catValu>
        <labl>
          Physical and engineering science technicians not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Computer assistants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Computer equipment operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3123
        </catValu>
        <labl>
          Industrial robot controllers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3131
        </catValu>
        <labl>
          Photographers and image and sound recording equipment operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3132
        </catValu>
        <labl>
          Broadcasting and telecommunications equipment operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3133
        </catValu>
        <labl>
          Medical equipment operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3139
        </catValu>
        <labl>
          Optical and electronic equipment operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3141
        </catValu>
        <labl>
          Ships' engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3142
        </catValu>
        <labl>
          Ships' deck officers and pilots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3143
        </catValu>
        <labl>
          Aircraft pilots and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3144
        </catValu>
        <labl>
          Air traffic controllers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3145
        </catValu>
        <labl>
          Air traffic safety technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3146
        </catValu>
        <labl>
          Power dispatcher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3151
        </catValu>
        <labl>
          Building and fire inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3152
        </catValu>
        <labl>
          Safety, health and quality inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3161
        </catValu>
        <labl>
          Food technologist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3171
        </catValu>
        <labl>
          Textile industry technologist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Life science technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Agronomy and forestry technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Farming and forestry advisers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Medical assistants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Sanitarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3224
        </catValu>
        <labl>
          Optometrists and opticians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3225
        </catValu>
        <labl>
          Dental assistants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3226
        </catValu>
        <labl>
          Physiotherapists and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3227
        </catValu>
        <labl>
          Veterinary assistants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3228
        </catValu>
        <labl>
          Pharmaceutical assistants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3229
        </catValu>
        <labl>
          Modern health associate professionals (except nursing) not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3231
        </catValu>
        <labl>
          Nursing associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3232
        </catValu>
        <labl>
          Midwifery associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Faith healers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Singing teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3340
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3411
        </catValu>
        <labl>
          Securities and finance dealers and brokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3412
        </catValu>
        <labl>
          Insurance representatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3413
        </catValu>
        <labl>
          Estate agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3414
        </catValu>
        <labl>
          Travel consultants and organisers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3415
        </catValu>
        <labl>
          Technical and commercial sales representatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3416
        </catValu>
        <labl>
          Buyers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3418
        </catValu>
        <labl>
          Appraisers, valuers and auctioneers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3419
        </catValu>
        <labl>
          Finance and sales associate professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3421
        </catValu>
        <labl>
          Trade brokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3422
        </catValu>
        <labl>
          Clearing and forwarding agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3423
        </catValu>
        <labl>
          Employment agents and labour contractors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3429
        </catValu>
        <labl>
          Business services agents and trade brokers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3431
        </catValu>
        <labl>
          Administrative secretaries and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3432
        </catValu>
        <labl>
          Legal and related business associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3433
        </catValu>
        <labl>
          Bookkeepers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3434
        </catValu>
        <labl>
          Statistical, mathematical and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3439
        </catValu>
        <labl>
          Administrative associate professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3441
        </catValu>
        <labl>
          Customs and border inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3442
        </catValu>
        <labl>
          Government tax and excise officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3443
        </catValu>
        <labl>
          Government social benefits officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3444
        </catValu>
        <labl>
          Government licensing officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3449
        </catValu>
        <labl>
          Customs, tax and related government associate professionals not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3450
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3460
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3471
        </catValu>
        <labl>
          Decorators and commercial designers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3472
        </catValu>
        <labl>
          Radio, television and other announcers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3473
        </catValu>
        <labl>
          Street, night-club and related musicians, singers and dancers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3474
        </catValu>
        <labl>
          Clowns, magicians, acrobats and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3475
        </catValu>
        <labl>
          Athletes, sportspersons and related associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3476
        </catValu>
        <labl>
          Librarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3480
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3490
        </catValu>
        <labl>
          Other service industry personnel, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Stenographers and typists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Word-processor and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4113
        </catValu>
        <labl>
          Data entry operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4114
        </catValu>
        <labl>
          Calculating-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4115
        </catValu>
        <labl>
          Secretaries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4121
        </catValu>
        <labl>
          Accounting and bookkeeping clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4122
        </catValu>
        <labl>
          Statistical and finance clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4131
        </catValu>
        <labl>
          Stock clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4132
        </catValu>
        <labl>
          Production clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4133
        </catValu>
        <labl>
          Transport clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4141
        </catValu>
        <labl>
          Library and filing clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4142
        </catValu>
        <labl>
          Mail carriers and sorting clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4143
        </catValu>
        <labl>
          Coding, proof-reading and related clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4144
        </catValu>
        <labl>
          Scribes and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4190
        </catValu>
        <labl>
          Other office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Cashiers and ticket clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4212
        </catValu>
        <labl>
          Tellers and other counter clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4213
        </catValu>
        <labl>
          Bookmakers and croupiers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4214
        </catValu>
        <labl>
          Pawnbrokers and money-lenders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4221
        </catValu>
        <labl>
          Travel agency and related clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4222
        </catValu>
        <labl>
          Receptionists and information clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4223
        </catValu>
        <labl>
          Telephone switchboard operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4224
        </catValu>
        <labl>
          Railway station attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Travel attendants and travel stewards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Transport conductors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Travel guides
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5121
        </catValu>
        <labl>
          Housekeepers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5122
        </catValu>
        <labl>
          Cooks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5123
        </catValu>
        <labl>
          Waiters, waitresses and bartenders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5131
        </catValu>
        <labl>
          Child-care workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5132
        </catValu>
        <labl>
          Institution-based personal care workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5133
        </catValu>
        <labl>
          Home-based personal care workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5139
        </catValu>
        <labl>
          Personal care and related workers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5141
        </catValu>
        <labl>
          Hairdressers, barbers, beauticians and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5142
        </catValu>
        <labl>
          Companions and valets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5143
        </catValu>
        <labl>
          Undertakers and embalmers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5144
        </catValu>
        <labl>
          Dry-cleaning and apparel dyeing operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5145
        </catValu>
        <labl>
          Cloth drying machine operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5146
        </catValu>
        <labl>
          Tailor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5147
        </catValu>
        <labl>
          Radio mechanic for television receiving antennas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5148
        </catValu>
        <labl>
          Photographic laboratory assitant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5149
        </catValu>
        <labl>
          Amusement park operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5152
        </catValu>
        <labl>
          Fortune-tellers, palmists and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Fire-fighters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Police officers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Prison guards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Gas safety lifeguard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5169
        </catValu>
        <labl>
          Protective services workers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Fashion and other models
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5230
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Maintenance technician of underground gas pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Water dispenser
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Gardener
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Energy control inspector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Copying machine operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          Glass-painter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5520
        </catValu>
        <labl>
          Restorer of works of art and decorative articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6111
        </catValu>
        <labl>
          Field crop and vegetable growers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6112
        </catValu>
        <labl>
          Tree and shrub crop growers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6113
        </catValu>
        <labl>
          Gardeners, horticultural and nursery growers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6114
        </catValu>
        <labl>
          Mixed-crop growers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6121
        </catValu>
        <labl>
          Dairy and livestock producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6122
        </catValu>
        <labl>
          Poultry producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6123
        </catValu>
        <labl>
          Apiarists and sericulturists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6124
        </catValu>
        <labl>
          Mixed-animal producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6129
        </catValu>
        <labl>
          Market-oriented animal producers and related workers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6130
        </catValu>
        <labl>
          Jockey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6135
        </catValu>
        <labl>
          Irrigation system operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6141
        </catValu>
        <labl>
          Forestry workers and loggers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6142
        </catValu>
        <labl>
          Charcoal burners and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6151
        </catValu>
        <labl>
          Aquatic-life cultivation workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6152
        </catValu>
        <labl>
          Inland and coastal waters fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6153
        </catValu>
        <labl>
          Deep-sea fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6154
        </catValu>
        <labl>
          Hunters and trappers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7111
        </catValu>
        <labl>
          Miners and quarry workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7112
        </catValu>
        <labl>
          Shotfirers and blasters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7113
        </catValu>
        <labl>
          Stone splitters, cutters and carvers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7121
        </catValu>
        <labl>
          Builders, traditional materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7122
        </catValu>
        <labl>
          Bricklayers and stonemasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7123
        </catValu>
        <labl>
          Concrete placers, concrete finishers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7124
        </catValu>
        <labl>
          Carpenters and joiners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7129
        </catValu>
        <labl>
          Building frame and related trades workers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7132
        </catValu>
        <labl>
          Floor layers and tile setters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7133
        </catValu>
        <labl>
          Plasterers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7134
        </catValu>
        <labl>
          Insulation workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7135
        </catValu>
        <labl>
          Glaziers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7136
        </catValu>
        <labl>
          Plumbers and pipe fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7137
        </catValu>
        <labl>
          Building and related electricians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7138
        </catValu>
        <labl>
          Sand-water cleaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7150
        </catValu>
        <labl>
          Building structure cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7211
        </catValu>
        <labl>
          Metal moulders and coremakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7212
        </catValu>
        <labl>
          Welders and flamecutters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7213
        </catValu>
        <labl>
          Sheet metal workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7214
        </catValu>
        <labl>
          Structural-metal preparers and erectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7215
        </catValu>
        <labl>
          Riggers and cable splicers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7217
        </catValu>
        <labl>
          Underwater workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7222
        </catValu>
        <labl>
          Tool-makers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7223
        </catValu>
        <labl>
          Machine-tool setters and setter-operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7224
        </catValu>
        <labl>
          Metal wheel-grinders, polishers and tool sharpeners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7231
        </catValu>
        <labl>
          Motor vehicle mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7232
        </catValu>
        <labl>
          Aircraft engine mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7233
        </catValu>
        <labl>
          Agricultural- or industrial-machinery mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7241
        </catValu>
        <labl>
          Electrical mechanics and fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7242
        </catValu>
        <labl>
          Electronics fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7245
        </catValu>
        <labl>
          Electrical line installers, repairers and cable jointers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7250
        </catValu>
        <labl>
          Black oxide finisher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7260
        </catValu>
        <labl>
          Aligner of optical instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7270
        </catValu>
        <labl>
          Tuner of diamond and superhard instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7280
        </catValu>
        <labl>
          Coater of electrodes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7311
        </catValu>
        <labl>
          Precision-instrument makers and repairers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7312
        </catValu>
        <labl>
          Musical instrument makers and tuners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7313
        </catValu>
        <labl>
          Jewellery and precious-metal workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7321
        </catValu>
        <labl>
          Abrasive wheel formers, potters and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7322
        </catValu>
        <labl>
          Glass makers, cutters, grinders and finishers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7323
        </catValu>
        <labl>
          Glass engravers and etchers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7324
        </catValu>
        <labl>
          Glass, ceramics and related decorative painters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7331
        </catValu>
        <labl>
          Handicraft workers in wood and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7332
        </catValu>
        <labl>
          Handicraft workers in textile, leather and related materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7333
        </catValu>
        <labl>
          Chiseller of objects of art
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7335
        </catValu>
        <labl>
          Chiseller of sculptures
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7341
        </catValu>
        <labl>
          Compositors, typesetters and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7342
        </catValu>
        <labl>
          Stereotypers and electrotypers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7343
        </catValu>
        <labl>
          Printing engravers and etchers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7344
        </catValu>
        <labl>
          Photographic and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7345
        </catValu>
        <labl>
          Bookbinders and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7411
        </catValu>
        <labl>
          Food refrigerationist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7412
        </catValu>
        <labl>
          Bakers, pastry-cooks and confectionery makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7413
        </catValu>
        <labl>
          Food industry sorter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7414
        </catValu>
        <labl>
          Fruit, vegetable and related preservers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7415
        </catValu>
        <labl>
          Food and beverage tasters and graders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7416
        </catValu>
        <labl>
          Tobacco preparers and tobacco products makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7421
        </catValu>
        <labl>
          Wood treaters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7422
        </catValu>
        <labl>
          Cabinet makers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7423
        </catValu>
        <labl>
          Woodworking machine setters and setter-operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7424
        </catValu>
        <labl>
          Basketry weavers, brush makers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7431
        </catValu>
        <labl>
          Fibre preparers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7432
        </catValu>
        <labl>
          Weavers, knitters and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7438
        </catValu>
        <labl>
          Upholsterers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7439
        </catValu>
        <labl>
          Fuller
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7441
        </catValu>
        <labl>
          Pelt dressers, tanners and fellmongers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7442
        </catValu>
        <labl>
          Shoe-makers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7443
        </catValu>
        <labl>
          Sewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7450
        </catValu>
        <labl>
          Dust chamber cleaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7460
        </catValu>
        <labl>
          Electrical machine operator (toys and school materials)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7511
        </catValu>
        <labl>
          Foreman (full-time) for track maintenance and repair
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7513
        </catValu>
        <labl>
          Roadworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7514
        </catValu>
        <labl>
          Ship's circuit installer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7515
        </catValu>
        <labl>
          Air instrument and electric equipment mechanic (technician)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7522
        </catValu>
        <labl>
          Electrician of exchange TV-equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7610
        </catValu>
        <labl>
          Logger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7620
        </catValu>
        <labl>
          Manufacturer of reinforced concrete towers and pillars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8111
        </catValu>
        <labl>
          Mining-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8112
        </catValu>
        <labl>
          Mineral-ore- and stone-processing-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8113
        </catValu>
        <labl>
          Well drillers and borers and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8121
        </catValu>
        <labl>
          Ore and metal furnace operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8122
        </catValu>
        <labl>
          Metal melters, casters and rolling-mill operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8123
        </catValu>
        <labl>
          Metal-heat-treating-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8124
        </catValu>
        <labl>
          Metal drawers and extruders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8125
        </catValu>
        <labl>
          Metal powder equipment operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8131
        </catValu>
        <labl>
          Glass and ceramics kiln and related machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8132
        </catValu>
        <labl>
          Bulb tubulator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8133
        </catValu>
        <labl>
          Operator of equipment for reinforcement of sanitary building products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8134
        </catValu>
        <labl>
          Boxman of walling and matrix materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8139
        </catValu>
        <labl>
          Glass, ceramics and related plant operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8141
        </catValu>
        <labl>
          Wood-processing-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8142
        </catValu>
        <labl>
          Paper-pulp plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8143
        </catValu>
        <labl>
          Papermaking-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8144
        </catValu>
        <labl>
          Wood boxman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8151
        </catValu>
        <labl>
          Crushing-, grinding- and chemical-mixing-machinery operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8152
        </catValu>
        <labl>
          Chemical-heat-treating-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8153
        </catValu>
        <labl>
          Chemical-filtering- and separating-equipment operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8154
        </catValu>
        <labl>
          Chemical-still and reactor operators (except petroleum and natural gas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8155
        </catValu>
        <labl>
          Petroleum- and natural-gas-refining-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8159
        </catValu>
        <labl>
          Chemical-processing-plant operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8161
        </catValu>
        <labl>
          Power-production plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8162
        </catValu>
        <labl>
          Steam-engine and boiler operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8163
        </catValu>
        <labl>
          Incinerator, water-treatment and related plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8171
        </catValu>
        <labl>
          Automated-assembly-line operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8172
        </catValu>
        <labl>
          Industrial-robot operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8175
        </catValu>
        <labl>
          Pulping machine operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8211
        </catValu>
        <labl>
          Machine-tool operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8212
        </catValu>
        <labl>
          Cement and other mineral products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8221
        </catValu>
        <labl>
          Pharmaceutical- and toiletry-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8223
        </catValu>
        <labl>
          Metal finishing-, plating- and coating-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8224
        </catValu>
        <labl>
          Photographic-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8225
        </catValu>
        <labl>
          Adjuster of catalist grids
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8226
        </catValu>
        <labl>
          Ammonolysis equipment operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8227
        </catValu>
        <labl>
          Expanded polystyrol equipment operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8228
        </catValu>
        <labl>
          Chemical fibres equipment operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8229
        </catValu>
        <labl>
          Chemical-products machine operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8231
        </catValu>
        <labl>
          Rubber-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8232
        </catValu>
        <labl>
          Plastic-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8233
        </catValu>
        <labl>
          Operator of balancing installations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8234
        </catValu>
        <labl>
          Linoleum drying operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8235
        </catValu>
        <labl>
          Paste preparation operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8243
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8251
        </catValu>
        <labl>
          Printing-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8252
        </catValu>
        <labl>
          Bookbinding-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8253
        </catValu>
        <labl>
          Paper-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8261
        </catValu>
        <labl>
          Fibre-preparing-, spinning- and winding-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8262
        </catValu>
        <labl>
          Weaving- and knitting-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8263
        </catValu>
        <labl>
          Sewing-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8264
        </catValu>
        <labl>
          Bleaching-, dyeing- and cleaning-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8265
        </catValu>
        <labl>
          Fur and leather-preparing-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8266
        </catValu>
        <labl>
          Operator of cutting equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8267
        </catValu>
        <labl>
          Operator of tire running machine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8269
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8271
        </catValu>
        <labl>
          Meat- and fish-processing-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8272
        </catValu>
        <labl>
          Dairy-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8273
        </catValu>
        <labl>
          Grain- and spice-milling-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8274
        </catValu>
        <labl>
          Baked-goods, cereal and chocolate-products machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8275
        </catValu>
        <labl>
          Fruit-, vegetable- and nut-processing-machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8276
        </catValu>
        <labl>
          Sugar production machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8278
        </catValu>
        <labl>
          Brewers, wine and other beverage machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8279
        </catValu>
        <labl>
          Tobacco production machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8281
        </catValu>
        <labl>
          Mechanical-machinery assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8282
        </catValu>
        <labl>
          Electrical-equipment assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8283
        </catValu>
        <labl>
          Electronic-equipment assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8284
        </catValu>
        <labl>
          Metal-, rubber- and plastic-products assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8285
        </catValu>
        <labl>
          Wood and related products assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8290
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8311
        </catValu>
        <labl>
          Locomotive-engine drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8312
        </catValu>
        <labl>
          Railway brakers, signallers and shunters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8321
        </catValu>
        <labl>
          Motor-cycle drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8322
        </catValu>
        <labl>
          Car, taxi and van drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8323
        </catValu>
        <labl>
          Bus and tram drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8331
        </catValu>
        <labl>
          Motorised farm and forestry plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8332
        </catValu>
        <labl>
          Earth-moving- and related plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8333
        </catValu>
        <labl>
          Crane, hoist and related plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8340
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8888
        </catValu>
        <labl>
          No response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9111
        </catValu>
        <labl>
          Street food vendors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9112
        </catValu>
        <labl>
          Street vendors, non-food products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9113
        </catValu>
        <labl>
          Door-to-door and telephone salespersons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9120
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9131
        </catValu>
        <labl>
          Domestic helpers and cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9132
        </catValu>
        <labl>
          Helpers and cleaners in offices, hotels and other establishments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9133
        </catValu>
        <labl>
          Hand-launderers and pressers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9141
        </catValu>
        <labl>
          Building caretakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9142
        </catValu>
        <labl>
          Vehicle, window and related cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9151
        </catValu>
        <labl>
          Messengers, package and luggage porters and deliverers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9152
        </catValu>
        <labl>
          Doorkeepers, watchpersons and related workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9170
        </catValu>
        <labl>
          Sweepers and related labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9180
        </catValu>
        <labl>
          Sweepers and related labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9211
        </catValu>
        <labl>
          Farm-hands and labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9212
        </catValu>
        <labl>
          Forestry labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9213
        </catValu>
        <labl>
          Fishery, hunting and trapping labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9214
        </catValu>
        <labl>
          Workers of personal subsidiary plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9311
        </catValu>
        <labl>
          Mining and quarrying labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9312
        </catValu>
        <labl>
          Construction and maintenance labourers: roads, dams and similar constructions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9322
        </catValu>
        <labl>
          Hand packers and other manufacturing labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9331
        </catValu>
        <labl>
          Hand or pedal vehicle drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9332
        </catValu>
        <labl>
          Drivers of animal-drawn vehicles and machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9334
        </catValu>
        <labl>
          Printed matter forwarder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9350
        </catValu>
        <labl>
          Industrial unskilled laborers not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9411
        </catValu>
        <labl>
          Guards (watchmen), cloackroom attendants, elevator operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9412
        </catValu>
        <labl>
          Correcting filters press operator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9413
        </catValu>
        <labl>
          Docker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9414
        </catValu>
        <labl>
          Swamper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9415
        </catValu>
        <labl>
          Attendant of slot-machines, amusement and shooting hall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Occupation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V152" name="KG1999A_0448" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="243" EndPos="243" width="1" RecSegNo="1"/>
      <labl>
        Looking for a job
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
For unemployed persons aged 16 and over.
[Question 17 was asked of unemployed persons aged 16 and over.]

17. Are you looking for a job?

[] 1 Yes, I am (skip to question 18)
[] 2 No, I am not

If "no" specify the reason


[] 3 Job is found, within 2 weeks will start working
[] 4 Applied for a job and waiting
[] 5 My qualification, working experience, age do not meet requirement of employers
[] 6 Illness, disability
[] 7 Care for sick relative, children, housework
[] 8 No need to work
[] 9 Other reasons]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
For all persons having neither employment nor profitable business "No" is to be filled in.

Question 17. Are you looking for a job?

This question is to be completed for persons aged 16 and over who have neither work nor any gainful business or have work or gainful business (including students and pensioners), but are looking for a job.

Code 1 "Yes" is to be circled for persons actively looking for work or trying to organize own business.
Specific kinds of job search include: registration with a state employment service, consulting private employers, visiting enterprises, institutions, and organizations, placing job postings, recourse to friends, acquaintances, relatives; efforts to organize own business (obtaining a permit or license, search for premises, selection and purchase of machinery and equipment, etc.).
If the answer is "Yes", the enumerator is to encircle Code 1 and go to question 18.
For persons aged 16 years and over who have no employment or gainful business ("No" is marked for them in questions 15 and 16) and are not looking for a job
Code 2 "No" is to be circled. In addition, one of the reasons marked with Codes 3-9 wherefore they do not attempt to look for a job is to be indicated.
Code 3 is to be marked for persons who have already found a job and are available to start it within two weeks;
Code 4 is to be marked for persons waiting for a decision on their application for employment;
Code 5 is to be marked for persons whose qualification, experience, and age do not meet requirements of employers;
Code 6 is to be marked for persons not able to work because of illness, disability or bad state of health;
Code 7 is to be marked for persons not looking for a job for family circumstances (care for children, sick relatives, household work, housekeeping);
Code 8 is to be marked for persons considering that they for different reasons have no necessity to work;
Code 9 is to be marked for persons not looking for a job for other reasons not listed above.

It should be noted that Code 1 "Yes" in question 17 can be also circled for persons under 16 years of age if for family or other circumstances they have to look for a suitable work.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 13+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person is looking for a job.
      </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">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V153" name="KG1999A_0449" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="244" EndPos="244" width="1" RecSegNo="1"/>
      <labl>
        Reason for not looking for job
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
For unemployed persons aged 16 and over.
[Question 17 was asked of unemployed persons aged 16 and over.]

17. Are you looking for a job?

[] 1 Yes, I am (skip to question 18)
[] 2 No, I am not

If "no" specify the reason


[] 3 Job is found, within 2 weeks will start working
[] 4 Applied for a job and waiting
[] 5 My qualification, working experience, age do not meet requirement of employers
[] 6 Illness, disability
[] 7 Care for sick relative, children, housework
[] 8 No need to work
[] 9 Other reasons]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
For all persons having neither employment nor profitable business "No" is to be filled in.

Question 17. Are you looking for a job?

This question is to be completed for persons aged 16 and over who have neither work nor any gainful business or have work or gainful business (including students and pensioners), but are looking for a job.

Code 1 "Yes" is to be circled for persons actively looking for work or trying to organize own business.
Specific kinds of job search include: registration with a state employment service, consulting private employers, visiting enterprises, institutions, and organizations, placing job postings, recourse to friends, acquaintances, relatives; efforts to organize own business (obtaining a permit or license, search for premises, selection and purchase of machinery and equipment, etc.).
If the answer is "Yes", the enumerator is to encircle Code 1 and go to question 18.
For persons aged 16 years and over who have no employment or gainful business ("No" is marked for them in questions 15 and 16) and are not looking for a job
Code 2 "No" is to be circled. In addition, one of the reasons marked with Codes 3-9 wherefore they do not attempt to look for a job is to be indicated.
Code 3 is to be marked for persons who have already found a job and are available to start it within two weeks;
Code 4 is to be marked for persons waiting for a decision on their application for employment;
Code 5 is to be marked for persons whose qualification, experience, and age do not meet requirements of employers;
Code 6 is to be marked for persons not able to work because of illness, disability or bad state of health;
Code 7 is to be marked for persons not looking for a job for family circumstances (care for children, sick relatives, household work, housekeeping);
Code 8 is to be marked for persons considering that they for different reasons have no necessity to work;
Code 9 is to be marked for persons not looking for a job for other reasons not listed above.

It should be noted that Code 1 "Yes" in question 17 can be also circled for persons under 16 years of age if for family or other circumstances they have to look for a suitable work.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 13+ not looking for a job
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the reason for why the person is not looking for job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Job is found, within 2 weeks will start working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Applied for a job and waiting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          My qualifications, working experience, age do not meet requirement of employers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Illness, disability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Care for a sick relative, children, housework
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No need to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other reasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V154" name="KG1999A_0450" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="245" EndPos="246" width="2" RecSegNo="1"/>
      <labl>
        Children ever born
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
18. Women aged 15 years and over, specify

[Questions 18 was asked of women aged 15 years and over.]

a) How many children have you borne? _ _
b) How many children are alive? _ _
c) How many of them live separately? _ _
d) [] 99 No answer]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 18. For women aged 15 years and over specify

The question is asked of women at the age of 15 years and over, both married and not married.

For persons under 15 years this question is usually not to be filled in. But if a woman interviewed gave birth to children, relevant answers should be recorded for her either.

The answers are to be recorded in numbers in a specially dedicated boxes.

a) how many children were born?
In the answer to this question the total number of children ever born (excluding stillbirths) is to be marked, whether all children are alive at the moment or not or whether they are members of the woman's household or live separately. Herewith, adopted or patronized children, as well as children of her husband's previous marriage, are not to be included in the number of children born to the woman.
If a woman did not give birth to any child, "0" is entered in items "?", "b", and "c".
b) how many of them do survive?
In the answer to this question the number of children born to the woman and surviving at the census moment is to be recorded.
If of the number of children born to the woman at the census moment no children survive, "0" is entered in items "b" and "c".
c) how many of them do live separately?
In the answer to this question the number of children living at the census moment separately from their mother, i.e. who are not members of her household (e.g., because of their departure for training or separating into an independent household, etc.) is to be stated.
If all children ever born live together with their mother, in item "c" the numeral "0" is to be placed.
d) no answer
If a woman questioned for some reasons did not answer the questions asked, Code 99 is to be circled in the enumeration form.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children born to a person.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 and no response
        </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>
          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="V155" name="KG1999A_0451" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="247" EndPos="248" width="2" RecSegNo="1"/>
      <labl>
        Children alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
18. Women aged 15 years and over, specify

[Questions 18 was asked of women aged 15 years and over.]

a) How many children have you borne? _ _
b) How many children are alive? _ _
c) How many of them live separately? _ _
d) [] 99 No answer]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 18. For women aged 15 years and over specify

The question is asked of women at the age of 15 years and over, both married and not married.

For persons under 15 years this question is usually not to be filled in. But if a woman interviewed gave birth to children, relevant answers should be recorded for her either.

The answers are to be recorded in numbers in a specially dedicated boxes.

a) how many children were born?
In the answer to this question the total number of children ever born (excluding stillbirths) is to be marked, whether all children are alive at the moment or not or whether they are members of the woman's household or live separately. Herewith, adopted or patronized children, as well as children of her husband's previous marriage, are not to be included in the number of children born to the woman.
If a woman did not give birth to any child, "0" is entered in items "?", "b", and "c".
b) how many of them do survive?
In the answer to this question the number of children born to the woman and surviving at the census moment is to be recorded.
If of the number of children born to the woman at the census moment no children survive, "0" is entered in items "b" and "c".
c) how many of them do live separately?
In the answer to this question the number of children living at the census moment separately from their mother, i.e. who are not members of her household (e.g., because of their departure for training or separating into an independent household, etc.) is to be stated.
If all children ever born live together with their mother, in item "c" the numeral "0" is to be placed.
d) no answer
If a woman questioned for some reasons did not answer the questions asked, Code 99 is to be circled in the enumeration form.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children still alive.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 and no response
        </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>
          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="V156" name="KG1999A_0452" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="249" EndPos="250" width="2" RecSegNo="1"/>
      <labl>
        Children living separately
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
18. Women aged 15 years and over, specify

[Questions 18 was asked of women aged 15 years and over.]

a) How many children have you borne? _ _
b) How many children are alive? _ _
c) How many of them live separately? _ _
d) [] 99 No answer]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 18. For women aged 15 years and over specify

The question is asked of women at the age of 15 years and over, both married and not married.

For persons under 15 years this question is usually not to be filled in. But if a woman interviewed gave birth to children, relevant answers should be recorded for her either.

The answers are to be recorded in numbers in a specially dedicated boxes.

a) how many children were born?
In the answer to this question the total number of children ever born (excluding stillbirths) is to be marked, whether all children are alive at the moment or not or whether they are members of the woman's household or live separately. Herewith, adopted or patronized children, as well as children of her husband's previous marriage, are not to be included in the number of children born to the woman.
If a woman did not give birth to any child, "0" is entered in items "?", "b", and "c".
b) how many of them do survive?
In the answer to this question the number of children born to the woman and surviving at the census moment is to be recorded.
If of the number of children born to the woman at the census moment no children survive, "0" is entered in items "b" and "c".
c) how many of them do live separately?
In the answer to this question the number of children living at the census moment separately from their mother, i.e. who are not members of her household (e.g., because of their departure for training or separating into an independent household, etc.) is to be stated.
If all children ever born live together with their mother, in item "c" the numeral "0" is to be placed.
d) no answer
If a woman questioned for some reasons did not answer the questions asked, Code 99 is to be circled in the enumeration form.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Female age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children who are now living separately.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 and no response
        </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="V157" name="KG1999A_0453" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="251" EndPos="251" width="1" RecSegNo="1"/>
      <labl>
        No answer to fertility questions
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
18. Women aged 15 years and over, specify

[Questions 18 was asked of women aged 15 years and over.]

a) How many children have you borne? _ _
b) How many children are alive? _ _
c) How many of them live separately? _ _
d) [] 99 No answer]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 18. For women aged 15 years and over specify

The question is asked of women at the age of 15 years and over, both married and not married.

For persons under 15 years this question is usually not to be filled in. But if a woman interviewed gave birth to children, relevant answers should be recorded for her either.

The answers are to be recorded in numbers in a specially dedicated boxes.

a) how many children were born?
In the answer to this question the total number of children ever born (excluding stillbirths) is to be marked, whether all children are alive at the moment or not or whether they are members of the woman's household or live separately. Herewith, adopted or patronized children, as well as children of her husband's previous marriage, are not to be included in the number of children born to the woman.
If a woman did not give birth to any child, "0" is entered in items "?", "b", and "c".
b) how many of them do survive?
In the answer to this question the number of children born to the woman and surviving at the census moment is to be recorded.
If of the number of children born to the woman at the census moment no children survive, "0" is entered in items "b" and "c".
c) how many of them do live separately?
In the answer to this question the number of children living at the census moment separately from their mother, i.e. who are not members of her household (e.g., because of their departure for training or separating into an independent household, etc.) is to be stated.
If all children ever born live together with their mother, in item "c" the numeral "0" is to be placed.
d) no answer
If a woman questioned for some reasons did not answer the questions asked, Code 99 is to be circled in the enumeration form.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Female age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether there was no answer to fertility questions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Answered the question
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No answer to the question
        </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="V158" name="KG1999A_0454" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="252" EndPos="253" width="2" RecSegNo="1"/>
      <labl>
        Main source of livelihood
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[
14. Sources of livelihood (persons with more than one source, specify each source)

Work for hire: (by labor agreement contract, verbal agreement)

[] 01 At enterprises, organization, institution
[] 02 In a farm
[] 03 For individuals (including rendering household services)

Work not for hire


[] 04 Owners of enterprises, farms (employer)
[] 05 On an individual basis
[] 06 At family enterprises, unpaid at farms
[] 07 Personal subsidiary plots
[] 08 Scholarship (stipend)
[] 09 Pension
[] 10 Benefits and allowances (excluding unemployment benefits)
[] 11 Unemployment benefits
[] 12 Other type of state maintenance
[] 13 Income from property
[] 14 On dependence
[] 15 Other sources


From above listed, specify the main source of livelihood ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question 14. Sources of livelihood

Before asking this question a person interviewed is to be given a card with all sources of livelihood listed. After the list has been studied, the person is to name one or several sources of livelihood out of those listed. Based on the answer the enumerator is to circle codes corresponding to one or several responses given.

After this the enumerator is to question the person about the main source of livelihood, which is to be named by the person him/herself.

If a person questioned names only one source of livelihood, the code corresponding to this source is to be entered in a special box as main.

If a person questioned names several sources of livelihood, it should be cleared up which of the sources named he/she considers the main one and the code of this source is to be entered in a special box.

Any of sources listed on the card can be named as main if:

- compensation or income is higher than in other sources of livelihood;
- income is permanent;
- on an equal level, the source with most days worked is to be preferred.

The category of those having work, both as employees and self-employed, covers persons who at the moment of census:

- performed work, whether it was a permanent, temporary, seasonal or other paid work, as well as worked for profit as self-employed, alone or with one or a few partners, both engaging or not engaging employees, irrespective of the dates of receiving a direct payment or profit for their work;
- worked without payment in their family business or on their family farm;
- were temporarily absent from work, but kept formal attachment to their work.

The following is to be considered as temporary absence from work:

- illness or injury, care for sick persons;
- annual leave or weekend, compensatory leave or time-off, compensation of overtime or work on a public holyday;
- statutory maternity and child-care leave;
- educational leave;
- unpaid or paid leave on the initiative of administration;
- rotational, seasonal or other specialized mode of operation;
- strike action;
- other reasons.

Besides, the category of persons with employment includes people engaged in spring, summer or autumn to perform seasonal work (e.g., in agriculture, water transport, fishery, etc.).

Students and pensioners having employment or gainful business are to be referred to those employed or self-employed on the same ground as other categories of persons.

The activity of persons engaged in non-reimbursable public or voluntary works is not to be marked as a source of livelihood.

Employees (those working under a written labour contract or verbal agreement) cover persons that concluded with the administration of an enterprise, organization, institution of any ownership or with a private employer a written labour contract or verbal agreement about working conditions and receive emolument (in cash or in kind). The following codes are used for this category:

Code 1 "At enterprise, organization, institution" is to be marked for those employed at enterprises, organizations, institutions of any ownership (e.g. at a state-owned or communal enterprise, joint-stock company, private or joint venture, public or religious organization, fund, production cooperative, etc.); as well as for paid apprentices.
Code 1 "At enterprise, organization, institution" is also to be marked as a source of livelihood for all military servicemen (other than army conscripts), wage and salary workers of military units living outside closed territories.
Code 2 "On a farm" is to be marked for persons employed in farming (peasant) enterprises and receiving remuneration for their labour (both in cash and in kind).
Code 3 "For individuals (including those rendering household services)" is to be marked for persons employed on an individual basis by individuals (e.g. salesmen, vendors) or those rendering household services for payment in cash or in kind (e.g., cooks, tutors, drivers, baby-sitters, etc.)
Self-employed include persons who work at their own working place or enterprise for making profit or family income in cash or in kind, and also for persons who own their business but do not temporarily work for any reason. The following codes are used in this category:
Code 4 "Owner of enterprise, farm (employer)" is to be marked for persons working on their own account or with partners and engaging one or more employees.
Code 5 "On an individual basis" is to be marked for self-employed persons engaged in individual professional or commercial activity.
Code 6 "Unpaid family worker at family enterprise or farm" is to be marked for persons working without compensation on a family farm or at an enterprise owned by relatives.
Code 7 "At personal subsidiary plot" is to be marked for people carrying out in their personal subsidiary plots (including gardens, kitchen gardens, country house plots, etc.) agricultural works and livestock management. This source of livelihood is to be marked not only for persons engaged in production of agricultural products for sale, but also for those producing agricultural products for own consumption if this kind of activity provides a considerable contribution to the total household consumption.
Code 8 "Scholarship" is to be marked for students receiving scholarships (including scholarships paid to students detached by enterprises, organizations, or employment services).
Code 9 "Pension" is to be marked for persons receiving old age or retirement, disability, survivor's, and long service pensions. It should be borne in mind that "pension" is to be marked for persons whom it is granted, but not for those who actually receive it. So the survivor's pension granted to children is to be marked for children, but not for their mother or father, even if they are actual recipients.
Code 10 "Benefit (other than unemployment benefit)" is to be marked for persons receiving:


- common monthly low-income family/citizens benefit, which is assigned to: children under 16 years of age and pupils of general education schools up to completion of training, but not after the attainment of the age of 18 years; pupils of basic vocational schools, students of secondary and higher education establishments up to the attainment of the age of 21 years; nonworking pensioners; disabled persons;
- one-time maternity grant;
- benefit to mothers giving birth to twins (triplets or more children);
- benefit to nonworking mothers with children under 1.5 years of age;
- monthly social benefit assigned to:
handicapped children, children having infantile cerebral paralysis, children HIV-positive or sick with AIDS; those disabled, the aged, mother-heroines, children in the case of loss of breadwinner if these categories of citizens are not entitled to pension. It should be noted that "benefit" is to be marked for persons whom it is granted, but not for those who actually receive it.


Code 11 "Unemployment benefit" is to be marked for persons registered with the employment services as unemployed and who are recipients of unemployment benefits.
Code 12 "Other government support" is to be encircled for inmates of infant's homes, children's homes, boarding schools, boarding houses for the aged and invalids and similar persons supported by governmental and non-governmental organizations.
Code 13 "Property income" is to be encircled for persons gaining income in the form of interest on their money deposits, credits, loans, equities, shares, as dividends or difference in rates, and for persons gaining income in the form of rent for housing, storage and other space, cars, instruments of labour, and land.
Code 14 "Dependent" is to be encircled for persons, living at the expense of relatives or other people, as well as for persons receiving alimony.
Code 15 "Other source" is to be encircled for persons having other sources of livelihood than those listed above. For example, personal or family savings, income of clergymen, casual earnings, charity, humanitarian aid, support of religious organizations, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="15"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's main source of livelihood.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Salaried employment at an enterprise, organization, institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Salaried employment in a farm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Salaried employment for individuals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Owners of enterprises, farms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Employment on individual basis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Employment at family interprises, unpaid at farms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Personal subsidiary plots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Scholarship/stipend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Benefits and allowances, excluding unemployment benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unemployment benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other type of state maintenance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Income from property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          On dependence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Other sources of income
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V159" 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="V160" name="MIGYRS1" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="151" EndPos="152" width="2" RecSegNo="1"/>
      <labl>
        Years residing in current locality
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGYRS1 indicates how many years the person has resided in their current locality of residence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year (or 1 year or less)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Less than 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          More than 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="MIGRATEP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="145" width="2" RecSegNo="1"/>
      <labl>
        Migration status, previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Same major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Same major, same minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Same major, different minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Different major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V162" name="EDATTAIN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="116" 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="V163" name="EDATTAIND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="119" 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="V164" name="SPEAKENG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="109" 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="V165" name="MTONGKG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="113" width="2" RecSegNo="1"/>
      <labl>
        Mother tongue, Kyrgyz Republic
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MTONGKG indicates the respondent's native tongue.  If they had difficulty naming a tongue, the one used most often in the household was identified.  Parents were to determine the language of children too young to speak.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Kyrgyz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Azerbaijani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Belarusian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Georgian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Kazakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Tajik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Turkmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Uzbek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Avar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Agul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Arabic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Afghan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Bashkir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Bulgarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Greek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Dargin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Dungan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Hebrew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yazdi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Kalmykia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Karachay-Balkar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          "
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Chinese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Korean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Kurdish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Lak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lezgin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Mordovian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          German
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Persian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Tatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Turkish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Turkic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Uigur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Chemshil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Gypsy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Chechen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Chuvash
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Pakistan (Urdu)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Hindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="BPLCOUNTRY" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="99" 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="V167" name="AWAYCHILD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" 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="V168" name="MIGCTRYP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="150" width="5" RecSegNo="1"/>
      <labl>
        Country of previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MIGCTRYP indicates the country of previous residence of international migrants.  Persons who never lived abroad are coded to the "non-migrant" category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11190
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12100
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12999
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt/United Arab Rep.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13990
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14999
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19999
        </catValu>
        <labl>
          Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20000
        </catValu>
        <labl>
          Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21000
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21010
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21020
        </catValu>
        <labl>
          Antigua-Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21030
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21040
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21050
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21060
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21070
        </catValu>
        <labl>
          Cayman Isles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21080
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21090
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21100
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21120
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21130
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21140
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21150
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21160
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21170
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21180
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21190
        </catValu>
        <labl>
          St. Kitts-Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21200
        </catValu>
        <labl>
          St. Croix
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. John
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          St. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          St. Thomas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21240
        </catValu>
        <labl>
          St. Vincent and the Grenadines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21250
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21260
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21270
        </catValu>
        <labl>
          U.S. Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21999
        </catValu>
        <labl>
          Caribbean, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22999
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23990
        </catValu>
        <labl>
          South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23991
        </catValu>
        <labl>
          Central and Latin America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24050
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24051
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24999
        </catValu>
        <labl>
          U.S.A, Canada, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29999
        </catValu>
        <labl>
          Americas, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32041
        </catValu>
        <labl>
          India, Pakistan, Bangladesh, Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33061
        </catValu>
        <labl>
          Malaysia and Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34190
        </catValu>
        <labl>
          Middle East, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34191
        </catValu>
        <labl>
          Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34199
        </catValu>
        <labl>
          Gulf countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39999
        </catValu>
        <labl>
          Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41021
        </catValu>
        <labl>
          Albania/Bulgaria/Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41031
        </catValu>
        <labl>
          Czechoslovakia/Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41999
        </catValu>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42199
        </catValu>
        <labl>
          Scandinavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43143
        </catValu>
        <labl>
          Serbia and Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43999
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44021
        </catValu>
        <labl>
          Belgium/Luxemburg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44022
        </catValu>
        <labl>
          Benelux (Belgium/Netherlands/Luxemburg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49999
        </catValu>
        <labl>
          Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51021
        </catValu>
        <labl>
          New Zealand/New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53999
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59999
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60010
        </catValu>
        <labl>
          Europe, Australia, New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60020
        </catValu>
        <labl>
          Asia and Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90000
        </catValu>
        <labl>
          Non-migrants (International)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="NATIVITY" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" 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="V170" 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="V171" 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="V172" 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="V173" 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="V174" 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>
