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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          The 2001 Population and Housing Census of the Republic of Armenia
        </titl>
        <IDNo>
          DDI_ARM_2001_PHC_v01_M_v03_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer abbr="MPC" affiliation="University of Minnesota" role="Integration Harmonization Documentation">
          Minnesota Population Center
        </producer>
        <producer abbr="DECDG" affiliation="World Bank" role="DDI editing">
          Development Data Group
        </producer>
        <prodDate date="2016-04-25">
          2016-04-25
        </prodDate>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
        <fundAg abbr="OECD/DCD-PARIS21" role="Project funder">
          Organization for Economic Co-operation and Development, Development Co-operation Directorate
        </fundAg>
        <grantNo>
          JADE#:60525;MEHLB(2010)12
        </grantNo>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[- Version 03 (May 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated.

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)]]>
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    </citation>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Population and Housing Census 2001 - IPUMS Subset
        </titl>
        <IDNo>
          ARM_2001_PHC_v01_M_v03_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          National Statistical Service of the Republic of Armenia
        </AuthEnty>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) Copyright 2001, National Statistical Service of the Republic of Armenia and Minnesota Population Center
        </copyright>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact>
          National Statistical Service of the Republic of Armenia
        </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 here <https://international.ipums.org/international/geography_variables.shtml>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed here <https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf>. 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">
          Income Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Migration Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: A-L Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Household Economic Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Industry Variables -- PERSON
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.]]>
      </abstract>
      <sumDscr>
        <collDate date="2001-10-19" event="start"/>
        <collDate date="2001-10-19" event="end"/>
        <nation abbr="ARM">
          Armenia
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <geogUnit>
          Province
        </geogUnit>
        <anlyUnit>
          Household
        </anlyUnit>
        <universe>
          All the population in the national territory at the moment the census is carried out.
        </universe>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No

UNIT DESCRIPTIONS:
- Dwellings: A separate settlement for the members of one or more households or the independent settlement or the place that is not for living but used as such during the census.
- Households: The households are of two types. A personal household is (1) a one-person household who makes provision for his or her own food or other essentials for living without combining with any other person to form part of a multi-person household, or (2) a multi-person household comprising two or more people living together who make common provision for food or other essentials for living. The members of the household meet their biological needs by keeping a general household and partly uniting their resources. Those people can be connected by kinship, marriage, or both.
- Group quarters: An institutional household is a household in which a group of population live together and usually are submitted to the same rules and eat together in orphanages, boarding schools, special schools, nursing homes, religious establishments, prisons, reformatory colonies, and other such establishments.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="2001-10-09">
          2001-10-09
        </dataCollector>
        <sampProc>
          <![CDATA[MICRODATA SOURCE: National Statistical Service of the Republic of Armenia

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the country

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 326,560]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          A single form with three sections: (1) Address tab, (2) personal questions, and (3) household questions
        </resInstru>
        <sources/>
        <collSitu>
          De jure in microdata, CENSUS DAY: October 9, 2001, FIELD WORK PERIOD: Oct. 10 (8am-) -Oct. 19, 2001
        </collSitu>
        <actMin>
          Direct enumeration via house-to-house visits and personal interviews.
        </actMin>
        <weight>
          Self-weighting (expansion factor = 10).
        </weight>
      </dataColl>
      <anlyInfo>
        <respRate>
          COVERAGE: Complete enumeration
        </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 [Machine-readable database]. Minneapolis: University of Minnesota, 2015.

Researchers should also acknowledge the statistical agency that originally produced the data:
Armenia, National Statistical Service of the Republic of Armenia, The 2001 Population and Housing Census of the Republic of Armenia

The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.

Copies of such materials are also gratefully received at ipums@umn.edu.

Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455]]>
        </citReq>
        <conditions>
          <![CDATA[An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions:

  
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.  To gain access to the data, a researcher must agree to the following:

(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.

(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.

(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.

(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.

Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.

These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
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    <fileTxt>
      <fileName>
        ARM2001-H-H.NSDstat
      </fileName>
      <fileCont>
        Household record
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2" keyvar="V4"/>
      </fileStrc>
      <dimensns>
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          0
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          59
        </varQnty>
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        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
      <verStmt>
        <version>
          Version 6.4, IPUMS sample
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      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F2" URI="ARM_2001_PHC_v01_M_v03_A_IPUMS.Nesstar?Index=1&amp;Name=ARM2001-P-H">
    <fileTxt>
      <fileName>
        ARM2001-P-H.NSDstat
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      <fileCont>
        Person records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V60 V149"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          92
        </varQnty>
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      <fileType>
        Nesstar 200801
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      <filePlac>
        Minnesota Population Center
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      <verStmt>
        <version>
          Version 6.4, IPUMS sample
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  </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>
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      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
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      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
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      <catgry>
        <catValu>
          2006
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        <labl>
          2006
        </labl>
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      <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="79" EndPos="80" 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="PHONE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" 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="V13" name="TRASH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="87" width="2" RecSegNo="1"/>
      <labl>
        Trash disposal
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Collected by a sanitation service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Collected directly from the household or dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Collected indirectly from a garbage container or deposit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Collected by a sanitation service only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Collected by a sanitation service and disposed of in some other manner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Disposed of in some other manner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Burned or buried
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Burned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Buried
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Thrown into street, vacant land, or common area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Thrown into river, lake, ocean, lagoon, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Thrown into canyon or gulley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Dumped in pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Communal refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Own refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Authorized refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Illegal refuse dump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Other dumping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          In the fields
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Fed to animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Composted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Heap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Garden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other, none
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="ROOMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" 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="TOILET" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" width="2" RecSegNo="1"/>
      <labl>
        Toilet
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Have toilet, type not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Non-flush, latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Non-flush, other and unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="BATH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="92" 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="V17" name="WALL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="95" width="3" RecSegNo="1"/>
      <labl>
        Wall or building material
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          No walls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Cardboard, scrap, and miscellaneous materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Waste, scrap, or discarded material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Fabric or discarded material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Zinc, fabric, cardboard, tins, and waste material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Cardboard sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Plastic sheeting, cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Makeshift, salvaged, or improvised materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Reused materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Rough wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Wood, fibercement or plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Wood, formica, and other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Wood or bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Wood or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other plant-based materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Plantain leaves and similar material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Bamboo or cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Bamboo, sawali, cogon, nipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Straw or bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          Grass, straw or reed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          Reed, bamboo, or palm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          Cane, palm leaves, logs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Palm leaves or palm planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Brick, block, stone, or cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Brick, stone, concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Brick, stone, or substitutes (dividing panels made of reinforced concrete)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Brick, stone, or substitutes (dividing panels made of wood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Brick or tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Brick or stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Brick or cement block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Brick with plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          Brick without plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Burnt or stabilized brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Unburnt brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Unburnt brick with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Unburnt brick with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Landcrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          518
        </catValu>
        <labl>
          Cement blocks or brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Cement blocks or brick, unfinished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Cement and adobe bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Cement and stone block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Concrete, reinforced concrete, blocks, panels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Adobe walls with plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Adobe walls without plaster exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          Adobe with cement exterior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Adobe (tabique, quinche)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Wood and earth adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Wood and cement adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Mud or adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Pressed dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Coated clay/mud with sticks/cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Clay or clay-covered sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          536
        </catValu>
        <labl>
          Netted bamboo or cane with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          537
        </catValu>
        <labl>
          Bundle of mud, straw, other materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          538
        </catValu>
        <labl>
          Mud with wood/wattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          Pole and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Mud with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Unfinished lathe and plaster, stucco, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          Hand-laid stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          Quarried stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          545
        </catValu>
        <labl>
          Cut stone and concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <labl>
          Cemented stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          547
        </catValu>
        <labl>
          Stone with clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Blocks of light material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          Prefabricated material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Metal or asbestos sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Metal or iron sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          Metal or fibercement sheeting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          Galvanized iron or aluminum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          Glass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          Cloth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Covintec panels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Mixed material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Mixed material: part wood; part concrete, brick, or stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Mainly permanent materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="HHTYPE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="107" 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="V19" name="NFAMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="108" 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="V20" name="HEADLOC" files="F1" dcml="0" intrvl="contin">
      <location StartPos="112" EndPos="114" 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="V21" 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="V22" name="AM2001A_0001" files="F1" dcml="0" intrvl="contin">
      <location StartPos="115" EndPos="119" width="5" 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 5-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="V23" name="AM2001A_0006" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="120" width="1" 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="8"/>
      </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 the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="AM2001A_0019" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="123" width="3" RecSegNo="1"/>
      <labl>
        District (Yerevan) or province
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Marz ____
Region ____
Community ____
Settlement ____
[There are two lines under 'Settlement' but cannot be identified.]]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="911"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the district (Hamaynk) where the household was located.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yerevan: Adjapnyak district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yerevan: Avan, Davidashen, Nork-Marash, and Nubarashen districts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yerevan: Arabkir district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yerevan: Erebuni district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Yerevan: Kentron district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Yerevan: Malatia-Sebastia district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Yerevan: Nor Nork district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yerevan: Shengavit district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yerevan: Kanaker-Zeytun district
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Aragatsotn province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Ararat province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          904
        </catValu>
        <labl>
          Armavir province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          905
        </catValu>
        <labl>
          Gegharkunik province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          906
        </catValu>
        <labl>
          Lori province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          907
        </catValu>
        <labl>
          Kotayk province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          908
        </catValu>
        <labl>
          Shirak province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          909
        </catValu>
        <labl>
          Syunik province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Vayots Dzor province
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Tavush province
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="AM2001A_0020" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="124" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural
      </labl>
      <qstn>
        <qstnLit>
          Urban/Rural
        </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 was in 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="AM2001A_0023" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="125" width="1" RecSegNo="1"/>
      <labl>
        Owner of household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q1. Do you own your housing unit?

[] 1 Yes
[] 2 No
[] 3 Homeless]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.1 Provision of a dwelling unit

One of the mentioned prompts is written.


a) Has: if the household is provided with a house or a flat.
b) Doesn't have: if the household doesn't have a house, flat and rents a place with certain citizens or when they have an agreement with a relative or a friend about living in his/her house (flat) temporarily.
c) Homeless: for those who don't have a certain address (for the homeless, wanderers).

Homeless are considered to be those people who don't have a certain place to live, they carry their (not big) possessions with them and spend the night on the streets, gardens, entrances, in the abandoned buildings and in other places (all the mentioned places are random for them).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household owned the place where the household members lived.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="AM2001A_0024" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="126" width="1" RecSegNo="1"/>
      <labl>
        Type of housing
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q2. What type of dwelling unit do you live in?

[] 1 Individual house
[] 2 Part of an individual house
[] 3 Separate apartment
[] 4 Communal apartment
[] 5 Cottage, temporary shelter
[] 6 Dormitory
[] 7 Institutional
[] 8 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.2 The type of the settlement

Personal house: if one household lives in one house (House is considered to be a building built on a separate plot that has a separate post address with communal conveniences with its additional household buildings.) regardless the property type.

The part of the personal house: if the household lives in the part of the house (building).

Separate flat: if the household lives in a separate flat. Separate flat is considered to be a building that is used for permanent dwelling, comprising one and more rooms, divided with other buildings by a basic wall, which has a general entrance, general hall or the building that has a separate exit if one household lives there. If the household lives in the personal house or in a separate flat, but uses the part of the house or flat and the other part for rent, then it is considered that this household lives in the personal house or separate flat.

General (communal) flat: if more than one household lives in the flat, as well as in the houses, flats that have a general entrance and these houses are not dormitories.

Hut or a temporary settlement: if the household lives in a hut, van, van house and in other such places that are temporary settlements.

Dormitory: if the household lives in a dormitory (regardless the type of the building; whether it is a flat, has a general entrance, as well as whether they use one room, the part of the room or only one bed). Those houses are considered to be dormitories in which the part of the buildings are furnished and are considered for dwelling of the people who are not relatives and which have all types of the rooms (resting rooms, gyms, kitchens, bathrooms, sanitary rooms and so on).

[p. 32]

Organization (institutional) for joint living: this is for those people (except the serving personnel) who permanently live in nursing homes, orphanages, boarding schools as well as for those who live in monasteries, army units and for the dwellers of such establishments.

Other dwelling building: if the household lives in the hotel, rest houses, motels, administrative buildings and in other such buildings that are not determined for permanent dwelling that are not mentioned.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of housing.
      </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 apartment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Communal apartment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Cottage or temporary shelter
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="AM2001A_0025" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="127" width="1" RecSegNo="1"/>
      <labl>
        Date built
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q3. When was the (housing structure/building) built?

[] 1 Before 1941
[] 2 1941-1960
[] 3 1961-1980
[] 4 1981-1990
[] 5 1991-2001]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.3 When was it built?

Here one of the dates offered as an answer is noted. While determining the date of the building (house), the date is chosen when the house (building) was put in use.

For example; if the building of the house began in 1979 and was finished in 1981, then the "1981-1990" prompt is written, the date when the building was completed.

In case of rebuilding the house or adding more floors, the date when it was out in use is considered to be the original building year.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the date when the housing unit of the household was built.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Before 1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1941-1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1961-1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          1981-1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          1991-2001
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="AM2001A_0026" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        Wall construction
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q4. What is the construction material of the building's exterior walls?

[] 1 Stone or brick
[] 2 Reinforced concrete
[] 3 Wood
[] 4 Mixed material
[] 5 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.4 The construction material of the outer walls of the building


a) Stone, brick: if the house is built of stone or brick.
b) Ferroconcrete (panel, monolith), block: if the house is built of the blocks of ferroconcrete or concrete blocks and panels, as well as in cases when the wooden house is faced with bricks.
c) Wood: if the walls of the house are made of wood (quadrilateral or roughhewed) or made of the whole wooden panels as well as in cases when the wooden house is faced by bricks.
d) Comprising different materials: if the first floor of the house (the part of the house) is made of brick or stone and the second floor is made of wood. If the walls of the house are made of several types of material then they must be included in the type of the material which prevails in the building.
e) Other: in the absence of the construction materials mentioned above.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the construction material of the building's exterior walls.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Stone or brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Reinforced concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mixed material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="AM2001A_0027" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Heating source
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q5. What is the dwelling unit's main source of heat?

[] 1 Central heating
[] 2 Gas
[] 3 Electricity
[] 4 Coal
[] 5 Wood
[] 6 Animal dung
[] 7 Oil or petroleum
[] 8 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.5 The main sources of heating


a) Central heating: if the dwelling unit is equipped with a group, regional or united boiler-house, provided with steam heating from water electric center.
b) Gas: if the dwellings unit is mainly heated by gas.
c) Electricity: if the dwellings unit is heated by electric heaters, electric stoves and other electric equipments.
d) Coal: if coal is used for the heating of the dwelling unit.
e) Wood: if wood is the main fuel for heating the dwelling unit.
f) Manure: if manure is the main fuel for the heating.
g) Oil: if oil or other oil product is used for heating the dwelling unit.
h) Other: if other fuels than those mentioned above are used.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main source of heat of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central heating
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Animal dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Oil or petroleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="AM2001A_0028" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="130" width="1" RecSegNo="1"/>
      <labl>
        Source of fuel for cooking
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q6. What is the dwelling unit's main source of fuel for cooking?

[] 1 Electricity
[] 2 Gas
[] 3 Oil
[] 4 Wood
[] 5 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.6 The main fuel for making food


a) Electricity: if for cooking an electric stove is used or an electric oven that is put in the flat with a separate kitchen.
b) Gas: if natural or liquid gas is used in gas stove.
c) Oil: if different oil stoves are used.
d) Wood: if a wood oven or wood stove is used and the fuel is wood.
e) Other: if other type of the fuel is used besides those mentioned above.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main source of fuel for cooking in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="AM2001A_0029" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="131" width="1" RecSegNo="1"/>
      <labl>
        Water source
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q7. What is the dwelling unit's main water supply source?

[] 1 Within the dwelling unit
[] 2 In the building, but outside the dwelling unit
[] 3 Public water supply (outside the building)
[] 4 Individual tank for collection
[] 5 River or spring
[] 6 Well
[] 7 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.7 The main source of water supply


a) Water pipes in the dwelling unit: if the water tap is inside the dwelling unit, that is to say it is connected with the water supply center.
b) Water pipes in the building but not in the dwelling unit: if there is a water pipe in the building, but the water doesn't go to the separate dwelling units and the households get water from the same water tap.
c) Public water pipe: if there is a water tap in the yard or nearby, but the water doesn't go to the house and the dwellers use the water on the public bases.
d) Personal water tank: if the main source of the water supply of the household is the personal water tank.
e) From the rivers, springs: if the household satisfies its water needs directly use the water from the rivers and springs.
f) Other: for all other cases not mentioned here.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main source of water supply in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Within the dwelling unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          In the building, but outside the dwelling unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Public water supply (outside the building)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Individual tank for water collection
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          River or spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="AM2001A_0030" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="132" width="1" RecSegNo="1"/>
      <labl>
        Bath or shower
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q8. Do you have access to a bathroom or shower?

[] 1 Yes, within the dwelling unit
[] 2 Yes, in the building, but outside the dwelling unit
[] 3 Yes, outside the building
[] 4 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.8 Is there a bathroom or a shower?


a) Yes, in the dwelling unit: if there is a separate bathroom or shower in the dwelling unit regardless the type of the warm water supply (central, in the flat, including small water heaters by gas, wood). If there is no sewerage system in the dwelling system, then it is not regarded equipped with bathroom or shower.
b) Yes, in the building, but not in the dwelling unit: if there is a bathroom or a shower but not in the dwelling unit.
c) Yes, outside of the building: if the household uses the bathroom or a shower that is out of the building.
d) Other: if the replier uses other means for this reason except those mentioned above (for example he/she goes to the public bathroom, uses his/her friends', relatives' bathrooms)]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of access to a bathroom or shower in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, in the dwelling unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, in the building, but outside the dwelling unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, outside the building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="AM2001A_0031" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        Toilet
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q9. What are your toilet facilities?

[] 1 Flushing, in the dwelling unit
[] 2 Flushing, outside the dwelling unit, for exclusive use by the household
[] 3 Flushing, outside the dwelling unit, for common use
[] 4 Non-flushing, outside the dwelling unit, for exclusive use by the household
[] 5 Non-flushing, outside the dwelling unit, for common use
[] 6 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.9 Is there a toilet?

Inundating

a) In the dwelling unit: if the dwelling unit is equipped with a rinsing toilet connected with the sewer system.
b) Outside of the dwelling unit, only for the given household: if there is a rinsing toilet in the building and it is determined only for the given household.
c) Outside of the dwelling unit for general usage: if the toilet is outside of the dwelling unit and is for the general usage

Not inundating

d) Only for the given household: if the toilet is not connected with a sewage system and only the given household uses it.
e) For the general usage: if the toilet is not connected with the sewage system, and it is out of the building and is for general usage.
f) Other: all other cases.]]>
        </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 toilet facilities in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Flushing, in the dwelling unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Flushing, outside the dwelling unit, for exclusive use by the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Flushing, outside the dwelling unit, for common use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Non-flushing, outside the dwelling unit, for exclusive use by the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Non-flushing, outside the dwelling unit, for common use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="AM2001A_0032" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="134" width="1" RecSegNo="1"/>
      <labl>
        Waste disposal
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q10. How is waste material (garbage/trash) disposed of?

[] 1 Trash chute, regularly removed
[] 2 Trash chute, irregularly removed
[] 3 Placed in trash bin, regularly removed
[] 4 Placed in trash bin, irregularly removed
[] 5 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.10 How is the garbage cleaning done?

By the garbage pipe of the building

a) Systematic cleaning: if the garbage is put in the garbage pipe and the cleaning of the garbage is done every day, systematically.
b) Unsystematic cleaning: if the garbage is put in the garbage pipe of the building but it is cleaned unsystematically, time after time.


In other ways

a) It is put in the garbage can that is taken away systematically: if the garbage is put in the garbage can outside of the building (regardless the distance) which is taken away systematically.
b) It is put in the garbage can that is taken away unsystematically: if the garbage is put in the garbage can outside of the building (regardless the distance) but it is taken away unsystematically.
c) Other: for all other cases.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of waste disposal in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Trash chute, regularly removed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Trash chute, Irregularly removed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Placed in trash bin, regularly removed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Placed in trash bin, irregularly removed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="AM2001A_0033" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        Light source
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q11. What is the dwelling unit's main source of lighting?

[] 1 Electricity
[] 2 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.11 The main source of illumination


a) Electricity: in case of the presence of the electric wiring
b) Other: in all other cases]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main source of lighting in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="AM2001A_0034" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="136" width="1" RecSegNo="1"/>
      <labl>
        Telephone
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q12. Do you have a telephone within the dwelling unit?

[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.12 Do you have a telephone?

"Yes" answer is mentioned if there is a telephone in the dwelling unit, and if there is no telephone in the given dwelling unit, then a "No" answer is mentioned.

Attention: If in the dwelling unit, one type of the conveniences is missing temporarily (because of being out of order, being under repair or for other reasons) then the building is considered to be equipped with that type of the convenience.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household had a telephone.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="AM2001A_0035" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="137" width="1" RecSegNo="1"/>
      <labl>
        Owner of property
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q13. Who owns the dwelling unit?

[] 1 Household member
[] 2 State
[] 3 Community
[] 4 Juridical entity
[] 5 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.13 Whose property is the dwelling unit?

The member of the given household: if the dwellings unit belongs to the member of the household or to the members by the law of the citizen property.

The state: if the dwellings unit is the property of the state.

The community: if the dwellings unit is the property of the community.

The juridical person: if the dwellings unit belongs to an organization, social organization, establishment-fund that has the status of a juridical person.

Other people: if the dwelling unit does not belong to a member of the household by law but to someone else.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the property ownership of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Household member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Community
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Juridical entity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="AM2001A_0036" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Room count, exclusive use
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q14. How many rooms does your household have exclusive use of? _ _
How many rooms does your household share with other households? _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.14 How many rooms does your household use?

The room is the part of the house, flat, dormitory, which is divided from other parts with the walls and partitions and is determined for living, having a rest, for having classes (in dormitories, children homes and so on).

The attics, balconies and other verandas that are equipped and are fit for living during the whole year are considered to be rooms.

The kitchens, halls, bath rooms, cellars and other additional buildings of he flat and dormitory, are not considered to be rooms.

For example; if two households are living together in the dwelling unit that has 3 rooms fit for living and each of them is using one room and the third room is shared, then part B.14 of the questionnaire is filled in the following way:
Separate - 1
With other households together - 1
Besides the recurrent number of the dwelling unit in the questionnaire made for these households must be the same (see page 21).


[p. 36]


If the household uses the part of the room, then it is written
Separate - 0
With other households together - 1
If the given dwelling unit is used by only one household, then the number of the rooms will be shown in the "Separate" line and in the "With other households together" line 0 will be written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates how many room(s) was exclusively used by the household in the dwelling.
      </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>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="AM2001A_0037" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="139" width="1" RecSegNo="1"/>
      <labl>
        Room count, shared
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q14. How many rooms does your household have exclusive use of? _ _
How many rooms does your household share with other households? _ _]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.14 How many rooms does your household use?

The room is the part of the house, flat, dormitory, which is divided from other parts with the walls and partitions and is determined for living, having a rest, for having classes (in dormitories, children homes and so on).

The attics, balconies and other verandas that are equipped and are fit for living during the whole year are considered to be rooms.

The kitchens, halls, bath rooms, cellars and other additional buildings of he flat and dormitory, are not considered to be rooms.

For example; if two households are living together in the dwelling unit that has 3 rooms fit for living and each of them is using one room and the third room is shared, then part B.14 of the questionnaire is filled in the following way:
Separate - 1
With other households together - 1
Besides the recurrent number of the dwelling unit in the questionnaire made for these households must be the same (see page 21).


[p. 36]


If the household uses the part of the room, then it is written
Separate - 0
With other households together - 1
If the given dwelling unit is used by only one household, then the number of the rooms will be shown in the "Separate" line and in the "With other households together" line 0 will be written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of rooms that the household shared with other household(s) in the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Don't share any rooms with another household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Share one or more rooms with another household
        </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="V41" name="AM2001A_0038" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Room size, total
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q15. What is the total area of your dwelling unit, in square meters? _ _ _ _ (includes non-sleeping spaces such as kitchens, bathrooms, hallways, balconies, etc.)
What is the total living space of your dwelling unit, in square meters? _ _ _ _ (includes sleeping space only)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.15 How much is the space of your dwelling unit (sq/m)?

Here the space of whole dwelling unit is noted. The sum of the square meter is written in total figures without decimal figures. The writing is done in figures (for example 5, 13, 44, 105 and so on).

The space of the personal house or dormitory is determined by the total square meter of the rooms and additional buildings (kitchens, halls, bathrooms, cellars) excluding the square meter of the additional closets and halls.

For those who live in dormitories, the space of the place they use is determined by the total square meter of the rooms they use in the dormitory. In the dormitories, the space of the additional buildings used by the dweller is determined by dividing the whole sum of the square meter into the number of beds/places.

For example; if the space of the additional buildings of the dormitory is 506 sq/m and the number of the beds is 103, then each person has 5sq/m (4,913, which is rounded).
The space of the staircases, halls, entrances, stuck out buildings and the places used by stoves, additional buildings that are not heated (balcony, attic, veranda) are not included in the whole space of the building.

Also the square meters of the rooms of security, serving personnel, teachers, nurses and the buildings of everyday repairs and other necessities (reception area, hairdressing saloon, shop) are not included in the whole square meter of the dormitories, nursing homes.

The dwelling space comprises of the square meters of all the rooms used in the household not including the space of the inbuilt closets. If the household uses only part of the room, then the space of the whole room used by the household must be written (for example; if three people live in dormitory in 15sq/m space and each of them is a separate household, then 5sq/m falls to each of them.

If the household uses the part of the space and rents the other part then the whole space that belongs to them as well as the part that is used by the household is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the total area of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          3-24 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          25-49 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          50-74 sq. m
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          75-99 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          100-124 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          125-149 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          150-2000 sq. m.
        </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="V42" name="AM2001A_0039" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="141" width="1" RecSegNo="1"/>
      <labl>
        Room size, living space
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q15. What is the total area of your dwelling unit, in square meters? _ _ _ _ (includes non-sleeping spaces such as kitchens, bathrooms, hallways, balconies, etc.)
What is the total living space of your dwelling unit, in square meters? _ _ _ _ (includes sleeping space only)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

B.15 How much is the space of your dwelling unit (sq/m)?

Here the space of whole dwelling unit is noted. The sum of the square meter is written in total figures without decimal figures. The writing is done in figures (for example 5, 13, 44, 105 and so on).

The space of the personal house or dormitory is determined by the total square meter of the rooms and additional buildings (kitchens, halls, bathrooms, cellars) excluding the square meter of the additional closets and halls.

For those who live in dormitories, the space of the place they use is determined by the total square meter of the rooms they use in the dormitory. In the dormitories, the space of the additional buildings used by the dweller is determined by dividing the whole sum of the square meter into the number of beds/places.

For example; if the space of the additional buildings of the dormitory is 506 sq/m and the number of the beds is 103, then each person has 5sq/m (4,913, which is rounded).
The space of the staircases, halls, entrances, stuck out buildings and the places used by stoves, additional buildings that are not heated (balcony, attic, veranda) are not included in the whole space of the building.

Also the square meters of the rooms of security, serving personnel, teachers, nurses and the buildings of everyday repairs and other necessities (reception area, hairdressing saloon, shop) are not included in the whole square meter of the dormitories, nursing homes.

The dwelling space comprises of the square meters of all the rooms used in the household not including the space of the inbuilt closets. If the household uses only part of the room, then the space of the whole room used by the household must be written (for example; if three people live in dormitory in 15sq/m space and each of them is a separate household, then 5sq/m falls to each of them.

If the household uses the part of the space and rents the other part then the whole space that belongs to them as well as the part that is used by the household is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the total living space of the dwelling unit.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1-14 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          15-29 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          30-44 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          45-59 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          60-74 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          75-89 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          90-104 sq. m.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          105-2000 sq. m.
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="AM2001A_0040" files="F1" dcml="0" intrvl="contin">
      <location StartPos="142" EndPos="145" width="4" RecSegNo="1"/>
      <labl>
        Strata
      </labl>
      <qstn>
        <qstnLit>
          Strata
        </qstnLit>
      </qstn>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable is the strata identifier for the sample. Strata is a constructed variable that is captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.
      </txt>
      <codInstr>
        This is a 4-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" 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="V45" name="GEO1_AM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Armenia, Province 2001 - 2011 [Level 1; consistent boundaries, GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="51901" max="51911"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1_AM identifies the household's province within Armenia in all sample years. Provinces are the first level administrative units of the country.  GEO1_AM is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_AM can be downloaded from the  GIS Boundary files  page in the IPUMS International web site.  

The full set of geography variables for Armenia can be found in the  IPUMS International Geography  variables list.  For cross-national geographic analysis on the first and second major administrative level of any country refer to  GEOLEV1 , and  GEOLEV2 .  More information on IPUMS-International geography can be found here.]]>
      </txt>
      <catgry>
        <catValu>
          51901
        </catValu>
        <labl>
          Yerevan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51902
        </catValu>
        <labl>
          Aragatsotn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51903
        </catValu>
        <labl>
          Ararat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51904
        </catValu>
        <labl>
          Armavir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51905
        </catValu>
        <labl>
          Gegharkunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51906
        </catValu>
        <labl>
          Lori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51907
        </catValu>
        <labl>
          Kotayk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51908
        </catValu>
        <labl>
          Shirak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51909
        </catValu>
        <labl>
          Syunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51910
        </catValu>
        <labl>
          Vayots Dzor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51911
        </catValu>
        <labl>
          Tavush
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="GEO1_AM2001" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="73" width="3" RecSegNo="1"/>
      <labl>
        Armenia, Province 2001 [Level 1, GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="901" max="911"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1_AM2001 identifies the household's province within Armenia in 2001. Provinces are the first level administrative units of the country.  A GIS map (in shapefile format), corresponding to GEO1_AM2001 can be downloaded from the  GIS Boundary files  page in the IPUMS International web site.  

The full set of geography variables for Armenia can be found in the IPUMS International Geography variables list.  For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2.  More information on IPUMS-International geography can be found here.]]>
      </txt>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Yerevan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Aragatsotn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Ararat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          904
        </catValu>
        <labl>
          Armavir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          905
        </catValu>
        <labl>
          Gegharkunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          906
        </catValu>
        <labl>
          Lori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          907
        </catValu>
        <labl>
          Kotayk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          908
        </catValu>
        <labl>
          Shirak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          909
        </catValu>
        <labl>
          Syunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Vayots Dzor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Tavush
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="NCOUPLES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="109" 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="V48" name="NMOTHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="110" 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="V49" name="NFATHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="111" 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="V50" 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="V51" name="ELECTRIC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="78" 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="V52" name="BUILTYR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="99" width="4" RecSegNo="1"/>
      <labl>
        Year structure was built
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BUILTYR indicates the year in which construction was completed on the building in which the household resides.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1870
        </catValu>
        <labl>
          1870 or earlier
        </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>
          9998
        </catValu>
        <labl>
          Under construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="AGESTRUCT2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        Age of structure, coded from intervals
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGESTRUCT2 gives the estimated age of the structure.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year old
        </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>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200+
        </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="V54" name="LIVEAREA" files="F1" dcml="0" intrvl="contin">
      <location StartPos="103" EndPos="105" 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="V55" name="OWNERSHIP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Ownership of dwelling [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="OWNERSHIPD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="77" width="3" RecSegNo="1"/>
      <labl>
        Ownership of dwelling [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Owned, already paid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Owned, still paying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Owned, constructed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Owned, inherited
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Owned, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Owned, house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Owned, condominium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Apartment proprietor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Shared ownership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Not owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Renting, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Renting, government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Renting, local authority
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Renting, parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Renting, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Renting, private company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Renting, individual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Renting, collective
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Renting, joint state and individual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Renting, public subsidized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Renting, private subsidized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Renting, co-tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Renting, relative of tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Renting, cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Renting, with a job or business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Renting, loan-backed habitation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Renting, mixed contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Furnished dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Sharecropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Subletting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Rent to own
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Renting, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Occupied de facto/squatting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Free/usufruct (no cash rent)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Free, provided by employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Free, without work or services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Free, provided by family or friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Free, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Free, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Free, condemned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Free, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Not owned, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="FUELCOOK" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Cooking fuel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FUELCOOK indicates the predominant type of fuel or energy used for cooking.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Petroleum gas, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Gas -- piped/utility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Gas -- tanked or bottled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Propane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Liquefied petroleum gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Petroleum liquid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Oil, kerosene, and other liquid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Kerosene/paraffin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Kerosene or oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Kerosene or gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Cocinol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Wood, coal, and other solid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wood and other plant fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Non-wood plant materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Coal or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Wood or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Multiple fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Bottled gas and wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Propane and electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Propane, kerosene, and electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Propane and kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kerosene and electrictiy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Other combinations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Discarded or waste material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Dung/manure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Dung or grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Solar energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Candle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="FUELHEAT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        Fuel for heating
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FUELHEAT indicates the main fuel source for heating the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fuel oil, kerosene, other liquid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Kerosene/paraffin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Diesel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Bottled gas, in tank, liquified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Solid fuel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Wood or coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Solar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Animal dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Multiple sources
        </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="V59" 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="V60" 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="V61" 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="V62" 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="V63" 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="V64" 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="V65" 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="V66" 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="V67" 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="V68" 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="V69" 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="V70" 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="V71" 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="V72" 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="V73" 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="V74" 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="V75" 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="V76" 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="V77" 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="V78" 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="V79" 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="V80" 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="V81" 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="V82" 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="V83" 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="V84" 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="V85" 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="V86" 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="V87" name="BPLAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="96" width="2" RecSegNo="1"/>
      <labl>
        Province of birth, Armenia
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLAM indicates the person's province (marz) of birth within Armenia.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yerevan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Aragatsotn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ararat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Armavir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Gegharkunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Lori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Kotayk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Shirak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Syunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Vayots Dzor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Tavush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Nagorno-Karabagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Foreign country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="CITIZEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="97" 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="V89" name="LANGAM2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        Second language spoken, Armenia
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LANGAM2 indicates the person's second language in Armenia: a language other than their mother tongue that they could read, write and speak fluently.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yezidian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Assyrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Greek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Kurdish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Polish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Georgian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Hebrew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          French
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          German
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Spanish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Persian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Turkish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other
        </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="V90" name="SCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="103" 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="V91" name="LIT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="104" 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="V92" name="EDUCAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" width="2" RecSegNo="1"/>
      <labl>
        Educational attainment, Armenia
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="93"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDUCAM indicates the person's level of educational attainment in terms of the level of schooling completed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Elementary (primary) (grades 1-3)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Basic (grades 4-8)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          General secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Professional secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Middle professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Incomplete higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Graduate education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Postgraduate professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Candidate of science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Doctor of science
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="EMPSTAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="111" 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="V94" name="EMPSTATD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="114" 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="V95" name="IND" files="F2" dcml="0" intrvl="contin">
      <location StartPos="115" EndPos="119" 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: AM2001A_0428]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="CLASSWK" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="120" 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="V97" name="CLASSWKD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="123" 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="V98" name="INCSRC" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="125" width="2" RecSegNo="1"/>
      <labl>
        Source of livelihood
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INCSRC indicates the respondent's primary source of livelihood, whether from work, benefits, or various other categories.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Property or entrepreneurial income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Unemployment benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Illness or disability benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other social support
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Under state security or care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Scholarship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Apprenticeship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Credits, savings, or capital sale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Household support (dependent)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Assistance from relatives in country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Assistance from relatives, acquintances abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Multiple sources
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="MIGAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="137" width="2" RecSegNo="1"/>
      <labl>
        Province of previous residence, Armenia
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGAM indicates the person's province of previous residence in Armenia.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yerevan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Aragatsotn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ararat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Armavir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Gegharkunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Lori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Kotayk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Shirak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Syunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Vayots Dzor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Tavush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Nagorno-Karabagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Foreign country
        </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="V100" 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="V101" name="AM2001A_0003" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Person number (within household)
      </labl>
      <qstn>
        <qstnLit>
          Person number (within household)
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </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>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="AM2001A_0400" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="139" width="1" RecSegNo="1"/>
      <labl>
        Person number
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q1: ___ Please list the last, first, and middle names of the household members (present and absent), as well as temporarily present individuals at the time of enumeration.]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person number of the household member.
      </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>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="AM2001A_0401" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Mother number
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q7b: _ _ Sequential number of mother; if not present in the household, write father number.]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The recurrent number in the list (column "7b") of the mother (father).

For each person living with his/her parents in the household (regardless of age, as well as the marital status), the interviewer writes in the "A" column the recurrent number corresponding to his/her mother's (or a step-mother's) name in the "7b" column without additional questions. In that case, if the person's mother is not in the give household, the father's (or step-father's) recurrent number is written and if neither the father nor mother are in the household then nothing is written in this column.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person number of a person's mother in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No mother
        </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>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="AM2001A_0402" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="141" width="1" RecSegNo="1"/>
      <labl>
        Father number
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q7b: _ _ Sequential number of mother; if not present in the household, write father number.]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The recurrent number in the list (column "7b") of the mother (father).

For each person living with his/her parents in the household (regardless of age, as well as the marital status), the interviewer writes in the "A" column the recurrent number corresponding to his/her mother's (or a step-mother's) name in the "7b" column without additional questions. In that case, if the person's mother is not in the give household, the father's (or step-father's) recurrent number is written and if neither the father nor mother are in the household then nothing is written in this column.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person number of a person's father in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No father
        </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>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="AM2001A_0403" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="142" width="1" RecSegNo="1"/>
      <labl>
        Spouse number
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q24b: What is the sequential number of your spouse? ____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



The recurrent number of he husband/wife (column 24).

[p. 25]

This question is filled in only for the married people without any additional questioning. For the husband, the wife's recurrent number is written, and for the wife the husband's recurrent number marked in the column A in the questionnaire is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person number of a person's spouse in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No spouse
        </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>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="AM2001A_0404" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="144" width="2" RecSegNo="1"/>
      <labl>
        Relationship
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q7a: Your relationship with the first person listed.

[] 1 Self
[] 2 Spouse
[] 3 Daughter or son
[] 4 Mother or father
[] 5 Sister or brother
[] 6 Mother-in-law or father-in-law
[] 7 Daughter-in-law or son-in-law
[] 8 Grandparent
[] 9 Grandchild
[] 10 Other relative
[] 11 Not related
[] 12 Institutional or boarder]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 7

Your kinship relation with the first registered person.

For filling the answer to this question the interviewer uses the prompts in column 7a.

The first registered person in the household 01 is written on the first line. For the other members of the household, the corresponding code of the prompts is written. If the replier is the son of the first person registered in the household, then "daughter, son" prompt code 03 should be written and so on, and if the replier has some other kinship relation with the first registered in the household (for example nephew) then "other relative" prompt code 10 should be written.


Separate cases for defining the kinship relations
Father-in-law (the father of the husband)
Mother-in-law (Mother of the husband)
Mother-in-law (Mother of the wife)
Father-in-law (Father of the wife)
Son-in-law (Husband of the sister or the daughter)
Daughter-in-law (Wife of the brother or the son)

Other kinship relations
Brother-in-law (Brother of the wife)
Brother-in-law (Brother of the husband)
Sister-in-law (Sister of the husband)
Sister-in-law (Sister of the wife)
Brother-in-law (Husband of the sister-in-law)


[p. 17]

The interviewer fills in "not relative" prompt code 11 for the person who doesn't have any kinship relation with the given household.

"Roommate" prompt code is written for those people who permanently live, partly or fully, in the dormitories, nursing homes, boarding schools, in the monasteries (institutional population). The exception made for those people, who have kinship relations with each other (for example spouses can live in a dormitory, or brother and sister can live in a boarding school). For these people the interviewer fills in this question according to the kinship relation. If the household comprises one person, then the corresponding "the first person registered in the household" prompt code 01 is filled in.]]>
        </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 a person's relationship to the household head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Daughter-in-law or son-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other relative
        </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="V107" name="AM2001A_0405" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="145" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q8: Your sex

[] 1 Male
[] 2 Female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 8

Your sex

Usually the sex of the person is determined according to his/her name. In the particular complicated cases a specifying question must be given for making sure. Identification codes 1 for males 1 and 2 for females are written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's sex.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="AM2001A_0407" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="147" width="2" RecSegNo="1"/>
      <labl>
        Month of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q9: Your date of birth

 _ _ Day of birth
 _ _ Month of birth (2 digits)
 _ _ _ _ Year of birth (1870-2001)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 9

The date (year, month, day) of your birth

[p. 18]
The answer of this question is written in numbers; in column "9a" the day of birth is written, in "'9b" the month and in '"9c" the year of birth.

For example if the replier was born in 1946, May 12 then in column "9a", 12 must be written, in "9b" 05 and in "9c" 1946, if for example in 200 1 October 8 then accordingly in "9a" 08, in "9b" 10 and in "9c" 2001.

The age written in years (column "9d")

After writing down the year of birth, without any additional question, the interviewer uses the "finding out the age by the year of birth" additional chart (appendix 1) to find out the person's age by the filled in years and writes it in column "9d". In using the chart the following fact must be taken into consideration: those who were born from January 1 to October 9 have their ages written in the first column and those who were born from October 1 to December 13 in the second column. For the children who are not even 1 year old 0 is written in column "9d".]]>
        </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 a person's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="AM2001A_0408" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="151" width="4" RecSegNo="1"/>
      <labl>
        Year of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q9: Your date of birth

 _ _ Day of birth
 _ _ Month of birth (2 digits)
 _ _ _ _ Year of birth (1870-2001)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 9

The date (year, month, day) of your birth

[p. 18]
The answer of this question is written in numbers; in column "9a" the day of birth is written, in "'9b" the month and in '"9c" the year of birth.

For example if the replier was born in 1946, May 12 then in column "9a", 12 must be written, in "9b" 05 and in "9c" 1946, if for example in 200 1 October 8 then accordingly in "9a" 08, in "9b" 10 and in "9c" 2001.

The age written in years (column "9d")

After writing down the year of birth, without any additional question, the interviewer uses the "finding out the age by the year of birth" additional chart (appendix 1) to find out the person's age by the filled in years and writes it in column "9d". In using the chart the following fact must be taken into consideration: those who were born from January 1 to October 9 have their ages written in the first column and those who were born from October 1 to December 13 in the second column. For the children who are not even 1 year old 0 is written in column "9d".]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1920" max="2001"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's year of birth.
      </txt>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          1920 or earlier
        </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>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="AM2001A_0409" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="153" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q9d: _ _ _ Your age in completed years (0-130 allowed)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 9

The date (year, month, day) of your birth

[p. 18]
The answer of this question is written in numbers; in column "9a" the day of birth is written, in "'9b" the month and in '"9c" the year of birth.

For example if the replier was born in 1946, May 12 then in column "9a", 12 must be written, in "9b" 05 and in "9c" 1946, if for example in 200 1 October 8 then accordingly in "9a" 08, in "9b" 10 and in "9c" 2001.

The age written in years (column "9d")

After writing down the year of birth, without any additional question, the interviewer uses the "finding out the age by the year of birth" additional chart (appendix 1) to find out the person's age by the filled in years and writes it in column "9d". In using the chart the following fact must be taken into consideration: those who were born from January 1 to October 9 have their ages written in the first column and those who were born from October 1 to December 13 in the second column. For the children who are not even 1 year old 0 is written in column "9d".]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="80"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's age in complete years.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Under 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="AM2001A_0410" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="154" EndPos="155" width="2" RecSegNo="1"/>
      <labl>
        Birthplace
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q10: Your place of birth

If within Armenia, write the Marz (10a) and settlement (10b) names ____
If outside Armenia, write the country name only (10a) _____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 10

Your birthplace

If the replier was born in the Republic of Armenia, then the answer to the question on the first line must include the name of the region, then on the second one the names of the place he/she was born.
For example: Sjunik or Ararat or Shirak and so on.
City Goris or village Vedi or city Artik

If the replier was born abroad, then the name of the country is written (for example "Georgia", "Russian", "Greece", "USA" and so on and the second line is not filled in.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="14"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's birthplace.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yerevan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Aragatsotn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Ararat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Armavir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Gegharkunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Lori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Kotayk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Shirak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Syunik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Vayots Dzor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Tavush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Nagorno-Karabagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Former Soviet Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="AM2001A_0411" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="156" EndPos="156" width="1" RecSegNo="1"/>
      <labl>
        Citizenship
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q11: ____Your country of citizenship]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 11

The country of your citizenship

For the citizens of Armenia, ""Armenia" is written, and for the citizens of other countries the name of the other country they are a citizen of is written; for example "Germany", ""Russia", "Lebanon" and so on. For the people who don't have a citizenship, "doesn't have" is written.

The citizenship of the children is determined by the parents.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's citizenship.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          No citizenship
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="AM2001A_0412" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="157" width="1" RecSegNo="1"/>
      <labl>
        Ethnicity
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q12: ____Your nationality]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 12

Your nationality

The nationality the replier mentions is written. The nationality of children is determined by the parents. For summarizing the information the manual of encoding the nations is used which was approved by the RA National Statistical Service.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's ethnicity.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="AM2001A_0413" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="158" EndPos="158" width="1" RecSegNo="1"/>
      <labl>
        Mother tongue
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q13a: ____Your native language 

Q13b: ____Other language you speak fluently]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 13

Your mother tongue and other language you master

For each person there are 2 lines for this question. On the first line the repliers' mother tongue is written that will mention the replier himself and on the second line some other language the replier is fluent in is written that is to say he/she can read in that language, write and speak fluently. For the future summarizing of the information the encoding manual is used, which was approved by the RA National Statistical Service.

If the replier finds it difficult to mention any language as his/her mother tongue, then the name of the language which he /she knows better or the language which is usually used in the family must be written.

For the children who don't yet speak, the mother tongue is determined by the parents. The mother tongue of the dumb and deaf is considered to be the language in which they read and write or the one that is used in their household or by which they mostly use in contact with other people.

If the replier doesn't know any language other than his/her mother tongue, "no" is written on the second line.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's mother tongue.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="AM2001A_0414" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="159" width="1" RecSegNo="1"/>
      <labl>
        Second language
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q13a: ____Your native language 

Q13b: ____Other language you speak fluently]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 13

Your mother tongue and other language you master

For each person there are 2 lines for this question. On the first line the repliers' mother tongue is written that will mention the replier himself and on the second line some other language the replier is fluent in is written that is to say he/she can read in that language, write and speak fluently. For the future summarizing of the information the encoding manual is used, which was approved by the RA National Statistical Service.

If the replier finds it difficult to mention any language as his/her mother tongue, then the name of the language which he /she knows better or the language which is usually used in the family must be written.

For the children who don't yet speak, the mother tongue is determined by the parents. The mother tongue of the dumb and deaf is considered to be the language in which they read and write or the one that is used in their household or by which they mostly use in contact with other people.

If the replier doesn't know any language other than his/her mother tongue, "no" is written on the second line.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a second language that a person could fluently speak besides his or her mother tongue.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="AM2001A_0415" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="160" EndPos="160" width="1" RecSegNo="1"/>
      <labl>
        Lived here since birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q14: Have you been living in your current location since your day of birth?

[] 1 Yes [skip to Question 18a]
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 14

Have you permanently lived in this settlement since the day of your birth?

In the case of getting a positive answer for this question, the interviewer writes "yes" with the corresponding code 1 and if the answer is negative "no" with the corresponding code 2. The permanency of settlement is not considered broken in the following cases:


a) Moving from one rural area to the other in the boundary of the same region
b) Going for a military service or going abroad for a business trip
c) All other leavings which are not connected with permanent movement


The permanency of the settlement is not connected with the registration and with its type (permanent or temporary) or with the changing of the address in the area of the same place.

In case of a ''yes" answer for the 4th question, move to question18; in case of a "no" answer, fill in the answers to questions 15, 16, and 17.]]>
        </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 had lived in current residence since birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="AM2001A_0416" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="161" width="1" RecSegNo="1"/>
      <labl>
        Forced to move since 1988
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Q15: For those who have changed their residence since 1988, were you forced to move?

[Q15 was asked of persons who have changed their residence since 1998, per Question 14.]

[] 1 Yes, because of war in territories bordering Armenia
[] 2 Yes, because of earthquake within Armenia
[] 3 Yes, forcibly removed from Azerbaijhan
[] 4 Yes, forcibly removed from Nagorno-Karabagh
[] 5 Yes, forcibly removed from other countries
[] 6 No, not forced to move]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 15

For those people who have changed their settlements since 1988: did you have to change it?

The possible answers for this question are in the chart that comes from the direction of the 15th column. The answer "Yes" is for those people who changed their settlements in 1988 because of the earthquake or Karabagh war as well as for those people who were forced to change their settlements because of being forced to move from other countries. For these cases there are the following possible prompts for "yes" answer:

[p. 20]


a) because of the war in the Armenia borders
b) because of the earthquake in the RA
c) because of being forced to move from Azerbaijan
d) because of being forced to move from Karabagh
e) because of being forced to move from other countries


The interviewer presents them to the replier and fills in the answer for the 15th question by writing down the corresponding code for the prompt. If the person's movement is not connected with the cases mentioned above, then the interviewer writes the identification code corresponding to the answer "no".]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons who did not live in their birthplaces
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a person was forced to move since 1988.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, due to war in territories bordering Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, due to earthquake within Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, forcibly removed from Azerbaijhan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Yes, forcilby removed from Nagorno-Karabagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yes, forcibly removed from other countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No, not forced to move
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="AM2001A_0417" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="162" EndPos="164" width="3" RecSegNo="1"/>
      <labl>
        Previous marz or country of residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q16: What was the location of your former residence? ___

If within Armenia, write the Marz (16a) and settlement (16b) names ___
If outside Armenia, write the country name only (16a) ___]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 16

Your previous place of living.

For each person answering these questions, there are two lines.

If the previous place of living for the replier was in Armenia, then the name of the region where he previously lived is written on the first line and the name of the settlement on the second line. For those who came from abroad (including the CIS countries) the name if the country where the replier lived before is written on the first line and the second line is not filled in.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="31" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons who did not live in their birthplaces
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's former residence.
      </txt>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </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>
          300
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Other country -- response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Yerevan (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Aragatsotn (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Ararat (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          904
        </catValu>
        <labl>
          Armavir (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          905
        </catValu>
        <labl>
          Gegharkunik (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          906
        </catValu>
        <labl>
          Lori (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          907
        </catValu>
        <labl>
          Kotayk (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          908
        </catValu>
        <labl>
          Shirak (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          909
        </catValu>
        <labl>
          Syunik (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Vayots Dzor (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Tavush (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Nagorno-Karabagh (province)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="AM2001A_0418" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="168" width="4" RecSegNo="1"/>
      <labl>
        Year began living current locality
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q17: What is the year since you have continuously lived in your current residence? 

_ _ _ _ Year]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 17

The date when you began permanently living here

In this column the date is written (for example 1946, 1981, 2000 and so on) for when the replier began permanently living in the given city or in the rural area.

For those people who moved from one place to the other and came back again, the date of return when they permanently began living in that settlement is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1915" max="9999"/>
      </valrng>
      <universe clusion="I">
        Persons who did not live in their locality of birth
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the year when a person began living in his or her current residence.
      </txt>
      <catgry>
        <catValu>
          1915
        </catValu>
        <labl>
          1915 or earlier
        </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>
          9998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="AM2001A_0419" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="170" width="2" RecSegNo="1"/>
      <labl>
        Source of livelihood: source 1
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q18: What is your source of livelihood?

18a: _ _ primary source


[] 01 Job (except at own household)
[] 02 Job at your own household
[] 03 Income from ownership
[] 04 Scholarship
[] 05 Pension
[] 06 Allowance (except unemployment)
[] 07 Unemployment allowance
[] 08 Under state security/care
[] 09 Other monetary assistance, state sources
[] 10 Other monetary assistance, non-state sources
[] 11 Under care of others
[] 12 Other sources


18b: _ _ secondary source


[] 01 Job (except at own household)
[] 02 Job at your own household
[] 03 Income from ownership
[] 04 Scholarship
[] 05 Pension
[] 06 Allowance (except unemployment)
[] 07 Unemployment allowance
[] 08 Under state security/care
[] 09 Other monetary assistance, state sources
[] 10 Other monetary assistance, non-state sources
[] 11 Under care of others
[] 12 Other sources]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 18

The sources of the means of your existence (main and secondary)

[p. 21]

Before beginning of the questions, the interviewer presents the list of the sources of the means of the existence to the replier. From this list, the replier chooses two means of existence, one of them referring as the main (column "18a") and the other one as the secondary (column "18b"). Based on the received answers, the interviewer writes the identification code corresponding to the chosen means of existence.


01. "Work (except the personal industry). The code corresponding to this prompt is written for those people who have a job in which they earn money or food-products or a profitable occupation regardless of the time of the receiving a payment for the job or earning a profit.

02. "Work in the personal industry". The prompt code for this category is written for those people who are busy in their personal industry (farm) with agriculture work or in keeping domestic animals. This source is written not only for those who are busy with agriculture for selling proposes but also for those who are producing for the usage in their personal industry if such occupation makes a considerable contribution in the general consumption of the household.

03. "Profit from the property". This is written for those people:


(a) who are depositors, creditors and get a profit in interests by using their money credits, deposits, loans and so on.
(b) who are shareholders and get dividends from the joint-stock company by the difference of the exchange rate of the stocks.
(c) who rent a plot or house and earn a profit by the payments for the rent.



04. "Scholarship". This prompt code is written for those students who get a scholarship.

05. "Pension". This prompt code is written for those people who get a pension:
For example, a pension for general work, age pension, pension for handicap children, social pension, pension for people who became handicapped at the time of the military service, pension for the families of the veterans. When the money earner has died, the pension determined for children is for the children and not for the mother or father even if they are the ones who got that pension, and the pension for the family is written by the name of the person who gets it (for example the pension for the families of the veterans).

06. "Benefit (except the unemployment benefit)". This prompt code is written for those people who get a monthly social benefit (for example poverty, family benefit, one-off benefit given for the nursing of the children under the age of two and other benefits).

07. "Unemployment benefit". This prompt code is written for those people who are registered as an unemployed in the employment services and get an unemployment benefit as well as financial assistance from the resources of the employment fund.

08. "Under the state care". This prompt code is written for the children of the orphanages, for the students living in the boarding schools, for the old and handicapped living in the nursing homes as well as for other people living under the care of the state.

09. "Other material assistance (from the state resources)". This prompt code is written who get material assistance from the state (or regional) resources under the conditions that has no connection with the work.

10. "Material assistance (from non state resources)". This prompt code is written for those who periodically get a material assistance without compensation from non state resources. For example from relatives and not relatives from organizations and so on.

11. "Under care". This prompt code is written for those who live by the resources of the relatives and other people as well as for those who get alimony. For example if the alimony is paid to the under-age children, who are the alimony receivers, then "Under care" prompt code is written for the children and not for the mother or father.

12. "Other resource". This prompt code is written only for those people whose source of the existence is not mentioned above (for example saving and so on).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's primary source of livelihood.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Job (except at own residence)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Job at your own residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Income from ownership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Scholarship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Allowance (except unemployment)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unemployment allowance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Under state security or care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Other monetary assistance, state sources
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other monetary assistance, non-state sources
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Under care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other sources
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V121" name="AM2001A_0420" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="172" width="2" RecSegNo="1"/>
      <labl>
        Source of livelihood: source 2
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q18: What is your source of livelihood?

18a: _ _ primary source


[] 01 Job (except at own household)
[] 02 Job at your own household
[] 03 Income from ownership
[] 04 Scholarship
[] 05 Pension
[] 06 Allowance (except unemployment)
[] 07 Unemployment allowance
[] 08 Under state security/care
[] 09 Other monetary assistance, state sources
[] 10 Other monetary assistance, non-state sources
[] 11 Under care of others
[] 12 Other sources


18b: _ _ secondary source


[] 01 Job (except at own household)
[] 02 Job at your own household
[] 03 Income from ownership
[] 04 Scholarship
[] 05 Pension
[] 06 Allowance (except unemployment)
[] 07 Unemployment allowance
[] 08 Under state security/care
[] 09 Other monetary assistance, state sources
[] 10 Other monetary assistance, non-state sources
[] 11 Under care of others
[] 12 Other sources]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question 18

The sources of the means of your existence (main and secondary)

[p. 21]

Before beginning of the questions, the interviewer presents the list of the sources of the means of the existence to the replier. From this list, the replier chooses two means of existence, one of them referring as the main (column "18a") and the other one as the secondary (column "18b"). Based on the received answers, the interviewer writes the identification code corresponding to the chosen means of existence.


01. "Work (except the personal industry). The code corresponding to this prompt is written for those people who have a job in which they earn money or food-products or a profitable occupation regardless of the time of the receiving a payment for the job or earning a profit.

02. "Work in the personal industry". The prompt code for this category is written for those people who are busy in their personal industry (farm) with agriculture work or in keeping domestic animals. This source is written not only for those who are busy with agriculture for selling proposes but also for those who are producing for the usage in their personal industry if such occupation makes a considerable contribution in the general consumption of the household.

03. "Profit from the property". This is written for those people:


(a) who are depositors, creditors and get a profit in interests by using their money credits, deposits, loans and so on.
(b) who are shareholders and get dividends from the joint-stock company by the difference of the exchange rate of the stocks.
(c) who rent a plot or house and earn a profit by the payments for the rent.



04. "Scholarship". This prompt code is written for those students who get a scholarship.

05. "Pension". This prompt code is written for those people who get a pension:
For example, a pension for general work, age pension, pension for handicap children, social pension, pension for people who became handicapped at the time of the military service, pension for the families of the veterans. When the money earner has died, the pension determined for children is for the children and not for the mother or father even if they are the ones who got that pension, and the pension for the family is written by the name of the person who gets it (for example the pension for the families of the veterans).

06. "Benefit (except the unemployment benefit)". This prompt code is written for those people who get a monthly social benefit (for example poverty, family benefit, one-off benefit given for the nursing of the children under the age of two and other benefits).

07. "Unemployment benefit". This prompt code is written for those people who are registered as an unemployed in the employment services and get an unemployment benefit as well as financial assistance from the resources of the employment fund.

08. "Under the state care". This prompt code is written for the children of the orphanages, for the students living in the boarding schools, for the old and handicapped living in the nursing homes as well as for other people living under the care of the state.

09. "Other material assistance (from the state resources)". This prompt code is written who get material assistance from the state (or regional) resources under the conditions that has no connection with the work.

10. "Material assistance (from non state resources)". This prompt code is written for those who periodically get a material assistance without compensation from non state resources. For example from relatives and not relatives from organizations and so on.

11. "Under care". This prompt code is written for those who live by the resources of the relatives and other people as well as for those who get alimony. For example if the alimony is paid to the under-age children, who are the alimony receivers, then "Under care" prompt code is written for the children and not for the mother or father.

12. "Other resource". This prompt code is written only for those people whose source of the existence is not mentioned above (for example saving and so on).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons who had secondary source of livelihood
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's secondary source of livelihood.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Job (except at own residence)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Job at your own residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Income from ownership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Scholarship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Allowance (except unemployment)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unemployment allowance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Under state security/care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Other monetary assistance, state sources
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other monetary assistance, non-state sources
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Under care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="AM2001A_0421" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="173" EndPos="173" width="1" RecSegNo="1"/>
      <labl>
        Level of education
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Completed for aged 7 and older [Questions 19-21] 




Q19: What is your educational attainment?

[] 01 Doctor of Science
[] 02 Ph.D.
[] 03 Postgraduate professional
[] 04 Higher professional
[] 05 Incomplete professional
[] 06 Middle professional
[] 07 Primary professional
[] 08 General secondary
[] 09 General basic
[] 10 Primary
[] 11 No Primary]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 19, 20, and 21 are filled for the people at the age of 7 and above.




Question 19

Your academic degree or education. While filling in the question of the academic degree of the replier the time of the registration is taken into consideration for the corresponding certificate.

For those people who have an academic degree "doctor of sciences" or "candidate of sciences" is written and the corresponding prompt codes.

For those who got their education abroad, the prompt code is written that corresponds to the degrees they got there.

"Postgraduate professional" prompt code is written for those people who have postgraduate degrees.

"Higher education" prompt code is written for those who finished state and non state universities, academies, institutes and conservatories. This prompt code is also written for those who have bachelor's and master's degrees.

"Incomplete higher education" prompt code is written for those who study or studied in the university, who completed the whole course, those who didn't pass the state exam, those who didn't defend the diploma works. For those people the prompt code of the degree that they received before entering the higher education institution (middle professional or secondary and so on).

"Middle professional" prompt code for those people who graduated from colleges and institutions equal to them, state or non state and who got college degrees. For example, pedagogical, medical colleges and so on).

"Preliminary professional" prompt code is written for those people who got a preliminary professional education on the bases of basic education. For example technical, handicraft school.

"General basic" prompt code is written for those who finished the secondary school and got a corresponding diploma (8 grades).

"General elementary" prompt code is written for those who got an elementary education.

"No elementary" prompt code is written for the people at the age of 7 and higher (both studying and not studying) who don't have an elementary education but can read and write or only read in any language

For defining the general basic, general elementary degrees, the "additional chart" for defining the educational level of the people who did not get an education must be used. (See appendix 2).

Getting correspondence courses and finishing evening schools is equal to the corresponding educational institutions.

[p. 23]

For those who studied at or finished at an educational institutions that doesn't give a general education (for example the courses of retraining and re-qualifying courses), the education they got before attending those courses is mentioned.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 7+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's level of education.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No elementary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General elementary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          General basic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          General secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Preliminary professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Middle professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Incomplete professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Higher professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Doctor of Science, PhD, or post-graduate professional
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="AM2001A_0422" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="174" width="1" RecSegNo="1"/>
      <labl>
        Literacy
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Completed for aged 7 and older [Questions 19-21] 




Q20: For those without an elementary (primary) education, are they literate?

[Q20 was asked of persons aged 7 years and older who did not have elementary (primary) education, per Q19.]

[] 1 Yes
[] 2 No]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 19, 20, and 21 are filled for the people at the age of 7 and above.




Question 20

For those who don't have a general elementary education: are you literate?

The interviewer asks if the person is literate for those who don't have an elementary education, that is to say for those people for who in the 19th question had an identification code 11 for the "No elementary" prompt.

People considered literate are those who can read and understand what they have read in some language. For this question, if the answer is "yes" identification code 1 is written, in case of "no" 2 is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 7+ who did not have elementary education
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a person was literate or not.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Literate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Illiterate
        </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="V124" name="AM2001A_0423" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="175" width="1" RecSegNo="1"/>
      <labl>
        Type of educational institution
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Completed for aged 7 and older [Questions 19-21] 




Q21: Are you currently studying at an educational institution?

[] 1 Yes, postgraduate
[] 2 Yes, higher professional
[] 3 Yes, secondary professional
[] 4 Yes, secondary basic
[] 5 Yes, additional education
[] 6 Currently not studying]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 19, 20, and 21 are filled for the people at the age of 7 and above.




Question 21

Do you study in any educational institution?

For those who study by any stationary, correspondence or evening program (both in state and non state educational institutions), in spite of their being cut from the production or not, one of the identification codes is written corresponding to the answers.


"Postgraduate professional" prompt code is written for those who study in the educational centers in a doctorate program as well as for those who study in the higher educational institutions, academic establishments by the corresponding educational programs.

"Higher education" prompt code is written for those who study in state and non state higher educational institutions (in institutes, academies, universities, conservatories and so on) and in other educational establishments that provide educational programs equal to them.

"Middle professional" prompt code is written for those who study in state and non state colleges and in other educational establishments that provide professional educational programs equal to them (pedagogical, medical colleges and so on).

"General education" prompt code is written for those who study in secondary, elementary schools, in gymnasiums, colleges, in special boarding schools as well as for those who study in the schools for the children who have problems with mental and physical development.

"Additional education" prompt code is written for those who study in the schools that doesn't give general education (for example preliminary courses in educational institutions, retraining and requalifying courses) and for those who study in the courses for a 6 month period.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 7+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of educational institution that a person was attending at the time of census.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, higher professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, secondary professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Yes, secondary basic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yes, additional education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No, not currently studying
        </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="V125" name="AM2001A_0424" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="176" EndPos="176" width="1" RecSegNo="1"/>
      <labl>
        Number of children ever born
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Questions 22-23 are for females aged 15 and older.




Q22: How many children have you given live birth to? _ _ (up to 21 children allowed)

Q23: How many of those children are still surviving? _ _ (up to 21 children allowed)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22 and 23 are registered only for women.




Question 22

How many children did you bear?

For women aged 15 and older (regardless of the marital status at the time of the census) the number of children born is written (not counting the ones born dead), regardless of whether all the children are alive at the time of the census or not and whether they are in their household or live separately. Also, adopted children, as well as the children from the previous marriage of the husband are not counted as the children of the given woman. If the woman bore no children, then the number 0 is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates the number of children to which  a female aged 15 and older had ever given birth.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="AM2001A_0425" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="177" width="1" RecSegNo="1"/>
      <labl>
        Number of children still alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Questions 22-23 are for females aged 15 and older.




Q22: How many children have you given live birth to? _ _ (up to 21 children allowed)

Q23: How many of those children are still surviving? _ _ (up to 21 children allowed)]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22 and 23 are registered only for women.




Question 23

How many of them are alive?

The number of the children who are alive is written in the column corresponding to the question 23d out of the total number of children the women bore.

If at the time of the census, none of her children are alive then 0 is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Females age 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of children whom a female aged 15 and older had were still alive.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="AM2001A_0426" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="178" EndPos="178" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q24a: What is your marital status?

[] 1 Never married
[] 2 Married, legally registered
[] 3 Married, unregistered
[] 4 Married, living separately
[] 5 Widowed
[] 6 Divorced, legally registered
[] 7 Divorced, unregistered]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Question 24


For the people age 15 and older.

Your marital status


"Never married" prompt code is written for those people who have never been married.

"Married (registered)" prompt code is written for those people who are married at the time of the census and their marriage is registered in the city hall.

"Married/actually (without registration)" prompt code is written for those people who are factually married but they are not registered.

"Married but living separately" prompt code is written for those people who are married (registered or not) but they are living separately.

"Widowed" prompt code is written for those people whose marriage (regardless of being registered or not) was interrupted because of the death of one of the spouses.

"Divorced (registered)" prompt code is written for those people whose marriage was registered but in the present those people are divorced and those facts are registered.

"Divorced factually (without registration)" prompt code is written for those people who were married before (registered or not) but now they are divorced and these facts are not registered.]]>
        </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 a person's marital status.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married, legally registered
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married, unregistered
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Married, living separately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Divorced, legally registered
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Divorced, unregistered
        </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="V128" name="AM2001A_0427" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="179" width="1" RecSegNo="1"/>
      <labl>
        Had a job the week before the census
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




Q25: During October 3-9, did you have a job or other income-producing business?

[] 1 Yes
[] 2 No [Skip to Question 29]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Question 25

Did you have a job from October 3 to 9 or some other profitable occupation?

Identification code 1 that corresponds to the "Yes" prompt code is written for those people who in 2001 October 3-9:

a) Worked only one hour regardless of the fact if their work was permanent, temporary, seasonal, by chance or paying as well as if they had a profitable job, alone or with other workmates or hired people, also regardless of the period of the work.
b) Worked with the member of the family, in the relative's organization, on the farm without payment.
c) Worked in a personal (additional) farm doing agricultural work or keeping domestic animals in the case it had marketing characteristics.
d) Temporarily absent from the work but still had the position with the workplace.


Temporarily absent from the work are the following cases:

a) Illness or injury, taking care of the sick people
b) Vacations and days off, additional vacations, and days off for overtime work and holidays
c) The vacation established by the law for pregnancy and for taking care of the children
d) Shift work and other works of special characteristics
e) The vacation taken by the administration with wholly to partially keeping the salary as well as without keeping the salary
f) Strikes


The students and the pensioners who had work or some other profitable occupation during October 3-9, 2001, are registered as workers and for them also "yes" prompt code is written.

"No" prompt code is written for those people who didn't have work or other profitable occupation during October 3-9, 2001 as well as for the following people:

a) People who serve within their household (cleaning the house, doing the laundry, taking care of the children and the old and so on)
b) People who do a volunteer work on a personal and social basis, without payment and those who serve different people or charity organizations
c) People who manage the borrowings of the establishment or the organization, but they don't take part in their financial activities
d) People who beg money (even if it is profitable)]]>
        </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 whether a person had a job or other income-producing business the week before the census.
      </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">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="AM2001A_0428" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="180" EndPos="180" width="1" RecSegNo="1"/>
      <labl>
        Principal activity at place of work
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 26-28 are asked for persons aged 15 years and older who had a job or other income-producing business (per Q25) and were not temporarily present at enumeration (per Q2).]

Q26: What is the type of your main job organization, institution or its branch? ____

Q27: What is your occupation at your main workplace (type of main workplace) ____

Q28: What is your status in your main occupation?

[] 1 Employee
[] 2 Employer
[] 3 Cooperative (industrial) member
[] 4 Entrepreneur
[] 5 Self-employed
[] 6 Family member assisting family business
[] 7 Member of farming household
[] 8 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Question 26 

What is the character of the activity of your workplace, organization, establishment (or its branch)?

[p. 26]

The answer for this question is filled in for the people who in October 3-9, 2001 had a job or a profitable occupation (for whom code 1 was written in the 25th question). While filling in the answer, it must be remembered that the character of the activity of the replier's workplace, organization, establishment (or its branch) must be defined clearly and accurately for it to be possible to determine the type of the economic activity later during the future drafting of the questionnaires (that is to say when during the summarizing the type of the economic activity written in words is changed into the codes).

Main is considered to be the job/occupation which the replier himself considers to be main for him. If the replier finds it difficult to define the main job then the main can be considered the job where he/ she worked more hours during the week or from where he/she gets more profit.

For those people who in October 3-9, 2001 changed their main job, the type of the work that they did at the end of the week is written.

For those people who worked in a unit that doesn't have a structural subdivision (for example shop, farm, mine and so on); for example for those people who worked in "Kat" specialized dairy retail store, "specialized dairy retail store" is written. For those people who worked in movable tents or in the market and were doing dairy retail trade "dairy retail trade in the movable tent or market" is written. (The later drafting of the information is done according to the international standards using "the classification of the characters of the economic activities" which was approved and put in use by the Armenian State Standard by the instruction N 21-V, 12.07.2001 (NACE). It was approved by the RA National Statistical Service, by the resolution N 58, 24.07.2001)

For those people who worked in the economical unit that had a structural subdivision, where character of activity is different from the character of the economical unit, the main activity of the subdivision where the replier worked is written. For example for the person who works in the cafeteria of the tobacco factory, "the activity of the cafeteria" is written and not that of the tobacco factory. For the doctors (including dentists), who worked in schools, kindergartens and so on "the medical (dentist) activity) is written.

For those people who worked in the organizations who have various types of activities, for example firm group or concern, the type of the subdivision where the replier works is written.

For those people who work in organizations or establishments, the type the activity of the economic unit or subdivision is written and not the type of the work the replier does. For example, for the person who works as a truck driver in the cement factory "cement production" is written.

If the replier finds it difficult to determine the type of the activity of his/her workplace, then the main goods that are produced or the services provided by the organization should be determined and written and the subdivision of the activity in the given organization (the specific weight is the highest in general) should be determined.

If the replier is fired from the job for the organization or establishment of a trade-union, then "trade-union activity" is written.

For those people who work in their own organization or have their own business (without including hired people or without including them time after time), the corresponding economic activity type is written (for example "shoe repairing", "artel of women's shirts").

For those people who work for certain citizens, the corresponding economical type of the activity is written. For example for the seller who does a retail trade of cigarettes "cigarettes retail trade" is written. For those people who are hired personally and who serve in the households (for example secretary, cook, nurse and so on) "household serving" is written.

For those people who are engaged in agriculture, the exact type of the activity is written. For example, "growing melon field cultures," "cattle- breeding, stock-raising" or "the production of cattle-breeding products" and so on.

[p. 27]

For the members of the household or the relatives who work in the organization, establishment, household, farm without payment, the corresponding type of the activity of the organization, establishment, or farm is written.

For those people who are engaged in religious activities, "religious activity" is written.

For those people who work in the religious organizations, the activity type is written according to the produced product or the type of the service. For example; for those people who engaged in the publishing of the religious newspapers and magazines "newspaper and magazine publication".

For those people who serve in the army "serves in the army" is written.

For all the people who are unemployed "no" is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who had a job or other income-producing business
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's industry to which his or her principal activity belonged to.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Public administration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Industry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="AM2001A_0429" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="181" width="1" RecSegNo="1"/>
      <labl>
        Occupation in agriculture
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 26-28 are asked for persons aged 15 years and older who had a job or other income-producing business (per Q25) and were not temporarily present at enumeration (per Q2).]

Q26: What is the type of your main job organization, institution or its branch? ____

Q27: What is your occupation at your main workplace (type of main workplace) ____

Q28: What is your status in your main occupation?

[] 1 Employee
[] 2 Employer
[] 3 Cooperative (industrial) member
[] 4 Entrepreneur
[] 5 Self-employed
[] 6 Family member assisting family business
[] 7 Member of farming household
[] 8 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Question 27

Your activity in the main workplace (the type of the job you do).

For those people who had a job or a profitable occupation in October 3-9, 2001 (for whom "yes" prompt code is written in the 25th question), a detailed description of the type of the activity (the later drafting of the information will be done according to the international standards using "the model dictionary of occupation", Moscow-99, which was published by CIS statistical committee)) that they do in the workplace, mentioned in the 26th question, is written.

If the replier did not work as his/her main occupation, then the main occupation is written. 

The occupation must be written in detail mentioning the type of the work. It's not allowed to write "manager", "master", "typist", "operator" and so on (because most of them have the same name, but they belong to a different sphere of activity) instead it must be written "manager of the edition", "manager of the library", "the manager of the marketing department", "economic advisor", "drilling master", "computer operator", "camera operator", "sewer", "truck driver", "shop assistant in the construction materials shop" and so on.

For those people who work in their own organizations or establishments without hiring people or engaging them in work time after time, the name of the occupation (handicraft) is written; for example "dentist", "sewer" and so on.

"Worker" is written for those people who do different works (except agriculture) that doesn't require a specialization, but in other cases the character of the job must be found out and must be written for example "porter".

[p. 28]

If the replier does agriculture work, depending on the household specialization, the corresponding occupation is written, for example "working in agriculture" working on farm and melon field or "working in agriculture" this time engaged in cattle breeding and poultry farming and so on. If the replier did different work in agriculture and it is impossible to clearly differentiate them from each other, then "engaged in stock breeding" or "engaged in farm works" and so on is written.

"Agriculture worker" is written for those people who do different work in agriculture that doesn't require a specialization.

For those people who work in the organizations or establishments that belong to the member of the family, without payment, the occupation they are engaged in most of the time is written. For example if the member of the family is engaged in unloading of goods most of the time, it is written "porter".
For those who are in the army "doesn't have" is written.
For those people who don't have a job or profitable occupation "doesn't have" is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who had a job or other income-producing business
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a person's occupation was in agriculture or not.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Non-agriculture
        </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="V131" name="AM2001A_0430" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="182" EndPos="182" width="1" RecSegNo="1"/>
      <labl>
        Class of worker
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 26-28 are asked for persons aged 15 years and older who had a job or other income-producing business (per Q25) and were not temporarily present at enumeration (per Q2).]

Q26: What is the type of your main job organization, institution or its branch? ____

Q27: What is your occupation at your main workplace (type of main workplace) ____

Q28: What is your status in your main occupation?

[] 1 Employee
[] 2 Employer
[] 3 Cooperative (industrial) member
[] 4 Entrepreneur
[] 5 Self-employed
[] 6 Family member assisting family business
[] 7 Member of farming household
[] 8 Other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Question 28

The status of the main occupation

This question is filled in for the people who had a job or profitable occupation in October 3-9, 2001 (for whom in the 25th question "yes" prompt code was written). Here the prompt codes that correspond one of the prompts are written.


1. "Hired worker" is considered to be those people who work in the organizations or establishments based on a contract (written or oral) and are paid by salary (money or goods). This prompt code is also written for:



those people who are assigned for management
managers, supervisors and principles
students who get a salary
people who work in the organizations that belong to the relatives or the members of the family, who get a salary and work on the same basis and have the same rights as the other people doing the same job and the religious workers.



2. "Employer" is considered to be those people who direct their own organization (business) on their own basis or with one or several partners and hire one or more workers for the organization. Also, the partners may or may not be the members of the same family or household.

3. "The member of the cooperative (production)" is considered to be those people who work in their own establishments producing goods and services and are an active (working) member in taking part in the process of the production, consumption of goods and dividing the profit with other workers with the same rights. A hired citizen working in the cooperative (production, consumption) is not considered to be the member of the cooperative.

4. "Businessman" is considered to be those people who direct their establishment or who realize professional, trade, creative activities or other activities for which they don't hire people or they hire for a very short period of time.

[p. 29]

5. "Self-employed" is considered to be those people who are engaged in the profitable professional and trade activities without engaging any workers. In some cases, even if they engage workers then it's not permanent. People who are engaged in the personal households are also in this group.

6. "The member of the family supporting the activity of the organization" is considered to be those people who work in the organization or establishment that belongs to the member of the family or relative without payment for helping and supporting. As a rule they don't get a payment, of either money or goods, instead they work for a certain reward or for the family budget.

7. "The member of the agriculture" is considered to be those people who are engaged in agriculture.

8. "Other status" is written for those people whose status of activity is not possible to include in any of the mentioned above.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who had a job or other income-producing business
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates a person's class of worker.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Cooperative (industrial) member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Entrepreneur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Family member assisting family business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Member of farming household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="AM2001A_0431" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="183" EndPos="183" width="1" RecSegNo="1"/>
      <labl>
        Searched for work
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)




Question 29

Are you looking for a job?

For all those people who are looking for a job or are trying to organize their own business, the "yes" prompt code is written, and for those people who are not looking for a job the "no" prompt code is written.

The exact ways of looking for a job are applying for a job in the employment centers, administrations of the organizations, establishments, putting advertisements in the newspapers, asking friends, relatives, starting the personal business (getting an allowance or a license, looking for a place for the business and so on).

For those people who answered "yes" to this question, questions 30 and 31 are, and for those people who answered "no" question 32d is filled in.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who did not have a job or any income-producing business
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a person was searching for work at the time of census.
      </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">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="AM2001A_0432" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="184" EndPos="184" width="1" RecSegNo="1"/>
      <labl>
        Available for work in two weeks
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)




Question 30

[p. 30]

Are you available to start work in the coming 2 weeks?

For those people who are looking for a job and in the case of being offered an appropriate job are available to start work in coming 2 weeks, the "yes" prompt code is written, and for those who cannot start the work in the same period of time depending on some reasons the "no" prompt code is written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who did not have a job or any income-producing business and were looking for work
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a person was ready for work in two weeks.
      </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">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="AM2001A_0433" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="185" EndPos="185" width="1" RecSegNo="1"/>
      <labl>
        Looking for work the first time
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)




Question 31

Are you looking for a job for the first time?

The "Yes" prompt code is written for those people who are looking for a job for the first time, that is to say they have never worked before. The "No" prompt code is written for those people who have looked for a job for many times.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who did not have a job or any income-producing business and were looking for work
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a person was looking for work the first time.
      </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">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="AM2001A_0434" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="186" width="1" RecSegNo="1"/>
      <labl>
        Reason for not looking for work
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Is not completed for temporary presents
[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]




[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Questions 22-32 are registered only for the people of 15 years old and higher. 



Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)




Question 32

What is the reason?

For those people who are not looking for a job, one of the prompt codes corresponding to one of the eight causes offered as an answer in the 32 column must be written.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 15+ who did not have a job or any income-producing business and were not looking for work
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the reasons why a person was not looking for work.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Applied for work and will start working soon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Applied for a job and waiting for an answer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          No hope of finding a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          No need to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Age, health
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" 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="V137" name="MIGYRS1" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" 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="V138" name="MIGRATEP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="127" 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="V139" name="EDATTAIN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="105" 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="V140" name="EDATTAIND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="108" 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="V141" name="ETHNICAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Ethnicity, Armenia
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ETHNICAM indicates the nationality or ethnic group of the respondent in Armenia.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other ethnicities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="MTONGAM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        Mother tongue, Armenia
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MTONGAM indicates the respondent's mother tongue.  Parents were to determine the mother tongue of children too young to speak.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Russian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yezidian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Assyrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Greek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Ukrainian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Kurdish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Georgian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          English
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Persian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Other
        </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="V143" name="MIGCTRYP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="132" 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="V144" name="MIGFORCE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        Forced migration
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MIGFORCE indicates if the person was forced to move from their place of residence since 1988 and, if so, what was the reason.

For specific causes of migration in 2011 Armenia that may or may not be classified as forced, see the variable MIGCAUSE.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, due to war in territories bordering Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, due to earthquake within Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, forcibly removed from Azerbaijhan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Yes, forcibly removed from Nagorno-Karabagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yes, forcibly removed from other countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not forced to move
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="CHDEAD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Number of children dead
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V146" 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="V147" 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="V148" 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="V149" 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="V150" 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="V151" 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>
