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	<docDscr>
		<citation>
			<titlStmt>
				<titl>Census of Population and Housing 1981, Spain</titl>
				<IDNo>DDI_ESP_1981_PHC_v01_M_v7.5_A_IPUMS</IDNo>
			</titlStmt>
			<rspStmt>
				<AuthEnty affiliation="University of Minnesota">IPUMS</AuthEnty>
				<othId>
					<p>Integrated Public Use Microdata Series (IPUMS) International</p>
				</othId>
			</rspStmt>
			<prodStmt>
				<producer abbr="IPUMS" affiliation="University of Minnesota" role="Integration Harmonization Documentation">IPUMS</producer>
				<prodDate date="2024-05-20">May 20, 2024</prodDate>
				<prodPlac>IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455</prodPlac>
				<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>
			<distStmt>
				<contact URI="https://ipums.org" affiliation="University of Minnesota">IPUMS</contact>
			</distStmt>
			<verStmt>
				<version>Version 7.5 October 2024. NEW FEATURES.

--Historical data from NAPP project now available from IPUMS-International.
--Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk.
--Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples.
--New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.
--IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures.

NEW SAMPLES.

--Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. 
--Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) 
--Labor force surveys from Spain and eight new labor force surveys from Italy added to the series.

Newly added countries: 
Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe

New samples for: 
Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe

SUPPLEMENTAL DATA.

Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system.

NEW VARIABLES.

--IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here.
--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here.
--IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.
--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.
--Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography.
--Added more detailed 3-digit industry and occupation variables for China 2000.

EDITED SAMPLES.

--Revised full-count data for Great Britain 1881
--Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets:
--Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS.
--Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE.
--A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute.

EDITED VARIABLES.

An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01.

AGEMARR was edited to add data for Hungary 1980 and 1990.

Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries.
Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000.

Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here.
The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education.

Errors affecting EDUCFJ for Fiji 2006 were corrected.
A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals.

MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers.

An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected.

An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed.

All the six Brazil samples in IPUMS International were replaced with higher density samples.

An edited version of the Chile 2017 sample was introduced to correct an error in household breaks.

Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected.

Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here.
An error in PERWT affecting Nepal 2001 was corrected.
Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household.

An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited.

Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.
An error in INCEARN affecting Brazil 1980 was corrected.
An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected.

A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit.
The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN.
An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed.

A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals.
Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.

Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.
An error affecting codes for COMPUTER for Senegal 2013 was corrected.
An error affecting labels available in IND for Peru 1993 was corrected.
An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected.
EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization.
HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province.
In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE.

Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected.
Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected.</version>
			</verStmt>
		</citation>
	</docDscr>
	<stdyDscr>
		<citation>
			<titlStmt>
				<titl>Census of Population and Housing 1981, IPUMS Harmonized Subset</titl>
				<altTitl>IPUMS PHC</altTitl>
				<IDNo>ESP_1981_PHC_v01_M_v7.5_A_IPUMS</IDNo>
			</titlStmt>
			<rspStmt>
				<AuthEnty>Instituto Nacional de Estadisticas (INE)</AuthEnty>
				<AuthEnty affiliation="University of Minnesota">IPUMS</AuthEnty>
			</rspStmt>
			<prodStmt>
				<copyright>(c) Copyright 1981, Instituto Nacional de Estadisticas (INE) and Minnesota Population Center</copyright>
			</prodStmt>
			<distStmt>
				<contact>Instituto Nacional de Estadisticas (INE)</contact>
			</distStmt>
			<serStmt>
				<serName>Population and Housing Census [hh/popcen]</serName>
				<serName abbr="ipumsi">IPUMS International</serName>
				<serInfo>DOI:10.18128/D020.V7.5</serInfo>
			</serStmt>
			<verStmt>
				<version date="2024-10-05">Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.</version>
			</verStmt>
		</citation>
		<stdyInfo>
			<subject>
				<topcClas vocab="IPUMS">Demographic Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</topcClas>
				<topcClas vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Fertility and Mortality Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Work Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</topcClas>
				<topcClas vocab="IPUMS">Disability Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Education Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</topcClas>
				<topcClas vocab="IPUMS">Migration: Global Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Group Quarters Variables -- HOUSEHOLD</topcClas>
				<topcClas vocab="IPUMS">Migration: O-Z Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Technical Person Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Other Household Variables -- HOUSEHOLD</topcClas>
				<topcClas vocab="IPUMS">Work: Industry Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Work: Occupation Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Work Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Fertility and Mortality Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Demographic Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Technical Person Variables -- PERSON</topcClas>
				<topcClas vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</topcClas>
			</subject>
			<sumDscr>
				<timePrd date="1981-03-01" event="start">March 1, 1981</timePrd>
				<timePrd date="1981-03-01" event="end"></timePrd>
				<collDate date="1981-03-01" event="start">March 1, 1981</collDate>
				<collDate date="1981-03-01" event="end"></collDate>
				<nation abbr="ESP">Spain</nation>
				<geogUnit>Municipalities with 20,000+ population</geogUnit>
				<anlyUnit>Persons  Persons not organized into households
        
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: Yes
- Households: no
- Individuals: yes
- Group quarters: yes

UNIT DESCRIPTIONS:
- Dwellings: A dwelling is a structurally separate and independent location that, given the way it was built, rebuilt, transformed, or adapted, is conceived to be inhabited by persons, or, even if this is not the case, is effectively and actually inhabited at the time
- Households: The family [household] is defined as a group of persons, generally linked because they are relatives, who live together, normally occupying the totality of a dwelling.  Persons in domestic services who spend the night in the dwelling and guests who are part of the family group will be included as family.
- Group quarters: Collective dwellings are those dwellings or buildings designed to be occupied by persons who do not constitute a family, subject to a common regime or authority, or gathered by common objectives or interests.</anlyUnit>
				<universe>The census includes persons who have a fixed residence in the national territory as well as those who are in the national territory at the time of reference, without omissions nor duplications. The persons who have their residency in Spain constitute the fixed population [population with rights].  The persons who are in the national territory at the moment of the census form the actual population [de facto]. [Alojamiento] "Lodging" refers to those units that do not qualify as dwelling because they are mobile, semi-permanent or improvised or because they have not been conceived for residential purposes but were occupied during the census.</universe>
				<dataKind>Population and Housing Census [hh/popcen]</dataKind>
			</sumDscr>
			<notes>Additional notes on a sample that is part of this study:  Spain 1981
            Note: Persons not organized into households</notes>
		</stdyInfo>
		<method>
			<dataColl>
				<sampProc>MICRODATA SOURCE: Instituto Nacional de Estadisticas (INE)

SAMPLE SIZE (person records): 2084221.

SAMPLE DESIGN: Systematic stratified sampling.  The provinces of Alava, Guipuzcoa, Navarra, and Vizcaya were over-sampled at roughly 5 times the rate of other provinces.
[Alojamiento] "Lodging" refers to those units that do not qualify as dwelling because they are mobile, semi-permanent or improvised or because they have not been conceived for residential purposes but were occupied during the census.</sampProc>
				<deviat></deviat>
				<collMode>Face-to-face [f2f]</collMode>
				<resInstru>Two types of questionnaires will be used: one for the population that lives in family dwellings and another for the population that lives in collective dwellings.</resInstru>
				<sources></sources>
				<collSitu>both, CENSUS DAY: March 1, 1981</collSitu>
				<actMin></actMin>
				<weight>Computed by census agency.  Use of weights is strongly recommended because of oversampling of several provinces.</weight>
			</dataColl>
		</method>
		<dataAccs>
			<useStmt>
				<confDec required="yes">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>Instituto Nacional de Estadisticas (INE)</contact>
				<citReq>. Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5

Researchers should also acknowledge the statistical agency that originally produced the data: Spain, Instituto Nacional de Estadisticas (INE). Census of Population and Housing 1981, Spain


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>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>
		<notes>User-provided description:  DOI:10.18128/D020.V7.5 Extract for es1981a, 2024</notes>
	</stdyDscr>
	<fileDscr ID="H">
		<fileTxt>
			<fileName>ESP1981_PHC-H-H.dat</fileName>
			<fileCont>Household records</fileCont>
			<fileStrc type="relational">
				<recGrp recGrp="P" keyvar="SERIAL"></recGrp>
			</fileStrc>
			<dimensns>
				<caseQnty>n.a.</caseQnty>
			</dimensns>
			<fileType>ascii</fileType>
			<filePlac>Minnesota Population Center</filePlac>
			<verStmt>
				<version>Version 7.5, IPUMS sample</version>
			</verStmt>
		</fileTxt>
	</fileDscr>
	<fileDscr ID="P">
		<fileTxt>
			<fileName>ESP1981_PHC-P-H.dat</fileName>
			<fileCont>Person records</fileCont>
			<fileStrc type="relational">
				<recGrp recGrp="H" keyvar="SERIAL PERNUM"></recGrp>
			</fileStrc>
			<dimensns>
				<caseQnty>2084221</caseQnty>
			</dimensns>
			<fileType>ascii</fileType>
			<filePlac>Minnesota Population Center</filePlac>
			<verStmt>
				<version>Version 7.5, IPUMS sample</version>
			</verStmt>
		</fileTxt>
	</fileDscr>
	<dataDscr>
		<var ID="RECTYPE" dcml="0" files="H" intrvl="contin" name="RECTYPE">
			<location EndPos="1" StartPos="1" width="1"></location>
			<labl>Record type</labl>
			<txt>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>
			<catgry>
				<catValu>H</catValu>
				<labl>Household</labl>
			</catgry>
			<catgry>
				<catValu>P</catValu>
				<labl>Person</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="character"></varFormat>
		</var>
		<var ID="COUNTRY" dcml="0" files="H" intrvl="discrete" name="COUNTRY">
			<location EndPos="4" StartPos="2" width="3"></location>
			<labl>Country</labl>
			<txt>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>032</catValu>
				<labl>Argentina</labl>
			</catgry>
			<catgry>
				<catValu>051</catValu>
				<labl>Armenia</labl>
			</catgry>
			<catgry>
				<catValu>040</catValu>
				<labl>Austria</labl>
			</catgry>
			<catgry>
				<catValu>050</catValu>
				<labl>Bangladesh</labl>
			</catgry>
			<catgry>
				<catValu>112</catValu>
				<labl>Belarus</labl>
			</catgry>
			<catgry>
				<catValu>204</catValu>
				<labl>Benin</labl>
			</catgry>
			<catgry>
				<catValu>068</catValu>
				<labl>Bolivia</labl>
			</catgry>
			<catgry>
				<catValu>072</catValu>
				<labl>Botswana</labl>
			</catgry>
			<catgry>
				<catValu>076</catValu>
				<labl>Brazil</labl>
			</catgry>
			<catgry>
				<catValu>854</catValu>
				<labl>Burkina Faso</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>208</catValu>
				<labl>Denmark</labl>
			</catgry>
			<catgry>
				<catValu>214</catValu>
				<labl>Dominican Republic</labl>
			</catgry>
			<catgry>
				<catValu>218</catValu>
				<labl>Ecuador</labl>
			</catgry>
			<catgry>
				<catValu>818</catValu>
				<labl>Egypt</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>246</catValu>
				<labl>Finland</labl>
			</catgry>
			<catgry>
				<catValu>250</catValu>
				<labl>France</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>320</catValu>
				<labl>Guatemala</labl>
			</catgry>
			<catgry>
				<catValu>324</catValu>
				<labl>Guinea</labl>
			</catgry>
			<catgry>
				<catValu>332</catValu>
				<labl>Haiti</labl>
			</catgry>
			<catgry>
				<catValu>340</catValu>
				<labl>Honduras</labl>
			</catgry>
			<catgry>
				<catValu>348</catValu>
				<labl>Hungary</labl>
			</catgry>
			<catgry>
				<catValu>352</catValu>
				<labl>Iceland</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>384</catValu>
				<labl>Ivory Coast</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>418</catValu>
				<labl>Laos</labl>
			</catgry>
			<catgry>
				<catValu>426</catValu>
				<labl>Lesotho</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>480</catValu>
				<labl>Mauritius</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>104</catValu>
				<labl>Myanmar</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>578</catValu>
				<labl>Norway</labl>
			</catgry>
			<catgry>
				<catValu>586</catValu>
				<labl>Pakistan</labl>
			</catgry>
			<catgry>
				<catValu>275</catValu>
				<labl>Palestine</labl>
			</catgry>
			<catgry>
				<catValu>591</catValu>
				<labl>Panama</labl>
			</catgry>
			<catgry>
				<catValu>598</catValu>
				<labl>Papua New Guinea</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>616</catValu>
				<labl>Poland</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>643</catValu>
				<labl>Russia</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>703</catValu>
				<labl>Slovak Republic</labl>
			</catgry>
			<catgry>
				<catValu>705</catValu>
				<labl>Slovenia</labl>
			</catgry>
			<catgry>
				<catValu>710</catValu>
				<labl>South Africa</labl>
			</catgry>
			<catgry>
				<catValu>728</catValu>
				<labl>South Sudan</labl>
			</catgry>
			<catgry>
				<catValu>724</catValu>
				<labl>Spain</labl>
			</catgry>
			<catgry>
				<catValu>729</catValu>
				<labl>Sudan</labl>
			</catgry>
			<catgry>
				<catValu>740</catValu>
				<labl>Suriname</labl>
			</catgry>
			<catgry>
				<catValu>752</catValu>
				<labl>Sweden</labl>
			</catgry>
			<catgry>
				<catValu>756</catValu>
				<labl>Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>834</catValu>
				<labl>Tanzania</labl>
			</catgry>
			<catgry>
				<catValu>764</catValu>
				<labl>Thailand</labl>
			</catgry>
			<catgry>
				<catValu>768</catValu>
				<labl>Togo</labl>
			</catgry>
			<catgry>
				<catValu>780</catValu>
				<labl>Trinidad and Tobago</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>826</catValu>
				<labl>United Kingdom</labl>
			</catgry>
			<catgry>
				<catValu>840</catValu>
				<labl>United States</labl>
			</catgry>
			<catgry>
				<catValu>858</catValu>
				<labl>Uruguay</labl>
			</catgry>
			<catgry>
				<catValu>862</catValu>
				<labl>Venezuela</labl>
			</catgry>
			<catgry>
				<catValu>704</catValu>
				<labl>Vietnam</labl>
			</catgry>
			<catgry>
				<catValu>894</catValu>
				<labl>Zambia</labl>
			</catgry>
			<catgry>
				<catValu>716</catValu>
				<labl>Zimbabwe</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="YEAR" dcml="0" files="H" intrvl="discrete" name="YEAR">
			<location EndPos="8" StartPos="5" width="4"></location>
			<labl>Year</labl>
			<txt>YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported.</txt>
			<catgry>
				<catValu>1703</catValu>
				<labl>1703</labl>
			</catgry>
			<catgry>
				<catValu>1729</catValu>
				<labl>1729</labl>
			</catgry>
			<catgry>
				<catValu>1787</catValu>
				<labl>1787</labl>
			</catgry>
			<catgry>
				<catValu>1801</catValu>
				<labl>1801</labl>
			</catgry>
			<catgry>
				<catValu>1819</catValu>
				<labl>1819</labl>
			</catgry>
			<catgry>
				<catValu>1845</catValu>
				<labl>1845</labl>
			</catgry>
			<catgry>
				<catValu>1848</catValu>
				<labl>1848</labl>
			</catgry>
			<catgry>
				<catValu>1850</catValu>
				<labl>1850</labl>
			</catgry>
			<catgry>
				<catValu>1851</catValu>
				<labl>1851</labl>
			</catgry>
			<catgry>
				<catValu>1852</catValu>
				<labl>1852</labl>
			</catgry>
			<catgry>
				<catValu>1860</catValu>
				<labl>1860</labl>
			</catgry>
			<catgry>
				<catValu>1861</catValu>
				<labl>1861</labl>
			</catgry>
			<catgry>
				<catValu>1865</catValu>
				<labl>1865</labl>
			</catgry>
			<catgry>
				<catValu>1868</catValu>
				<labl>1868</labl>
			</catgry>
			<catgry>
				<catValu>1870</catValu>
				<labl>1870</labl>
			</catgry>
			<catgry>
				<catValu>1871</catValu>
				<labl>1871</labl>
			</catgry>
			<catgry>
				<catValu>1875</catValu>
				<labl>1875</labl>
			</catgry>
			<catgry>
				<catValu>1880</catValu>
				<labl>1880</labl>
			</catgry>
			<catgry>
				<catValu>1881</catValu>
				<labl>1881</labl>
			</catgry>
			<catgry>
				<catValu>1885</catValu>
				<labl>1885</labl>
			</catgry>
			<catgry>
				<catValu>1890</catValu>
				<labl>1890</labl>
			</catgry>
			<catgry>
				<catValu>1891</catValu>
				<labl>1891</labl>
			</catgry>
			<catgry>
				<catValu>1900</catValu>
				<labl>1900</labl>
			</catgry>
			<catgry>
				<catValu>1901</catValu>
				<labl>1901</labl>
			</catgry>
			<catgry>
				<catValu>1910</catValu>
				<labl>1910</labl>
			</catgry>
			<catgry>
				<catValu>1911</catValu>
				<labl>1911</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>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>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>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>2014</catValu>
				<labl>2014</labl>
			</catgry>
			<catgry>
				<catValu>2015</catValu>
				<labl>2015</labl>
			</catgry>
			<catgry>
				<catValu>2016</catValu>
				<labl>2016</labl>
			</catgry>
			<catgry>
				<catValu>2017</catValu>
				<labl>2017</labl>
			</catgry>
			<catgry>
				<catValu>2018</catValu>
				<labl>2018</labl>
			</catgry>
			<catgry>
				<catValu>2019</catValu>
				<labl>2019</labl>
			</catgry>
			<catgry>
				<catValu>2020</catValu>
				<labl>2020</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="SAMPLE" dcml="0" files="H" intrvl="discrete" name="SAMPLE">
			<location EndPos="17" StartPos="9" width="9"></location>
			<labl>IPUMS sample identifier</labl>
			<txt>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>032197001</catValu>
				<labl>Argentina 1970</labl>
			</catgry>
			<catgry>
				<catValu>032198001</catValu>
				<labl>Argentina 1980</labl>
			</catgry>
			<catgry>
				<catValu>032199101</catValu>
				<labl>Argentina 1991</labl>
			</catgry>
			<catgry>
				<catValu>032200101</catValu>
				<labl>Argentina 2001</labl>
			</catgry>
			<catgry>
				<catValu>032201001</catValu>
				<labl>Argentina 2010</labl>
			</catgry>
			<catgry>
				<catValu>051200101</catValu>
				<labl>Armenia 2001</labl>
			</catgry>
			<catgry>
				<catValu>051201101</catValu>
				<labl>Armenia 2011</labl>
			</catgry>
			<catgry>
				<catValu>040197101</catValu>
				<labl>Austria 1971</labl>
			</catgry>
			<catgry>
				<catValu>040198101</catValu>
				<labl>Austria 1981</labl>
			</catgry>
			<catgry>
				<catValu>040199101</catValu>
				<labl>Austria 1991</labl>
			</catgry>
			<catgry>
				<catValu>040200101</catValu>
				<labl>Austria 2001</labl>
			</catgry>
			<catgry>
				<catValu>040201101</catValu>
				<labl>Austria 2011</labl>
			</catgry>
			<catgry>
				<catValu>050199101</catValu>
				<labl>Bangladesh 1991</labl>
			</catgry>
			<catgry>
				<catValu>050200101</catValu>
				<labl>Bangladesh 2001</labl>
			</catgry>
			<catgry>
				<catValu>050201101</catValu>
				<labl>Bangladesh 2011</labl>
			</catgry>
			<catgry>
				<catValu>112199901</catValu>
				<labl>Belarus 1999</labl>
			</catgry>
			<catgry>
				<catValu>112200901</catValu>
				<labl>Belarus 2009</labl>
			</catgry>
			<catgry>
				<catValu>204197901</catValu>
				<labl>Benin 1979</labl>
			</catgry>
			<catgry>
				<catValu>204199201</catValu>
				<labl>Benin 1992</labl>
			</catgry>
			<catgry>
				<catValu>204200201</catValu>
				<labl>Benin 2002</labl>
			</catgry>
			<catgry>
				<catValu>204201301</catValu>
				<labl>Benin 2013</labl>
			</catgry>
			<catgry>
				<catValu>068197601</catValu>
				<labl>Bolivia 1976</labl>
			</catgry>
			<catgry>
				<catValu>068199201</catValu>
				<labl>Bolivia 1992</labl>
			</catgry>
			<catgry>
				<catValu>068200101</catValu>
				<labl>Bolivia 2001</labl>
			</catgry>
			<catgry>
				<catValu>068201201</catValu>
				<labl>Bolivia 2012</labl>
			</catgry>
			<catgry>
				<catValu>072198101</catValu>
				<labl>Botswana 1981</labl>
			</catgry>
			<catgry>
				<catValu>072199101</catValu>
				<labl>Botswana 1991</labl>
			</catgry>
			<catgry>
				<catValu>072200101</catValu>
				<labl>Botswana 2001</labl>
			</catgry>
			<catgry>
				<catValu>072201101</catValu>
				<labl>Botswana 2011</labl>
			</catgry>
			<catgry>
				<catValu>076196001</catValu>
				<labl>Brazil 1960</labl>
			</catgry>
			<catgry>
				<catValu>076197001</catValu>
				<labl>Brazil 1970</labl>
			</catgry>
			<catgry>
				<catValu>076198001</catValu>
				<labl>Brazil 1980</labl>
			</catgry>
			<catgry>
				<catValu>076199101</catValu>
				<labl>Brazil 1991</labl>
			</catgry>
			<catgry>
				<catValu>076200001</catValu>
				<labl>Brazil 2000</labl>
			</catgry>
			<catgry>
				<catValu>076201001</catValu>
				<labl>Brazil 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>116199801</catValu>
				<labl>Cambodia 1998</labl>
			</catgry>
			<catgry>
				<catValu>116200401</catValu>
				<labl>Cambodia 2004</labl>
			</catgry>
			<catgry>
				<catValu>116200801</catValu>
				<labl>Cambodia 2008</labl>
			</catgry>
			<catgry>
				<catValu>116201301</catValu>
				<labl>Cambodia 2013</labl>
			</catgry>
			<catgry>
				<catValu>116201901</catValu>
				<labl>Cambodia 2019</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>124185201</catValu>
				<labl>Canada 1852</labl>
			</catgry>
			<catgry>
				<catValu>124187101</catValu>
				<labl>Canada 1871</labl>
			</catgry>
			<catgry>
				<catValu>124188101</catValu>
				<labl>Canada 1881</labl>
			</catgry>
			<catgry>
				<catValu>124189101</catValu>
				<labl>Canada 1891</labl>
			</catgry>
			<catgry>
				<catValu>124190101</catValu>
				<labl>Canada 1901</labl>
			</catgry>
			<catgry>
				<catValu>124191101</catValu>
				<labl>Canada 1911</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>124201101</catValu>
				<labl>Canada 2011</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>152201701</catValu>
				<labl>Chile 2017</labl>
			</catgry>
			<catgry>
				<catValu>156198201</catValu>
				<labl>China 1982</labl>
			</catgry>
			<catgry>
				<catValu>156199001</catValu>
				<labl>China 1990</labl>
			</catgry>
			<catgry>
				<catValu>156200001</catValu>
				<labl>China 2000</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>192201201</catValu>
				<labl>Cuba 2012</labl>
			</catgry>
			<catgry>
				<catValu>208178701</catValu>
				<labl>Denmark 1787</labl>
			</catgry>
			<catgry>
				<catValu>208180101</catValu>
				<labl>Denmark 1801</labl>
			</catgry>
			<catgry>
				<catValu>208184501</catValu>
				<labl>Denmark 1845</labl>
			</catgry>
			<catgry>
				<catValu>208188001</catValu>
				<labl>Denmark 1880</labl>
			</catgry>
			<catgry>
				<catValu>208188501</catValu>
				<labl>Denmark 1885</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>818184801</catValu>
				<labl>Egypt 1848</labl>
			</catgry>
			<catgry>
				<catValu>818186801</catValu>
				<labl>Egypt 1868</labl>
			</catgry>
			<catgry>
				<catValu>818198601</catValu>
				<labl>Egypt 1986</labl>
			</catgry>
			<catgry>
				<catValu>818199601</catValu>
				<labl>Egypt 1996</labl>
			</catgry>
			<catgry>
				<catValu>818200601</catValu>
				<labl>Egypt 2006</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>242201401</catValu>
				<labl>Fiji 2014</labl>
			</catgry>
			<catgry>
				<catValu>246201001</catValu>
				<labl>Finland 2010</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>276181901</catValu>
				<labl>Germany 1819 (Mecklenburg)</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>300201101</catValu>
				<labl>Greece 2011</labl>
			</catgry>
			<catgry>
				<catValu>320196401</catValu>
				<labl>Guatemala 1964</labl>
			</catgry>
			<catgry>
				<catValu>320197301</catValu>
				<labl>Guatemala 1973</labl>
			</catgry>
			<catgry>
				<catValu>320198101</catValu>
				<labl>Guatemala 1981</labl>
			</catgry>
			<catgry>
				<catValu>320199401</catValu>
				<labl>Guatemala 1994</labl>
			</catgry>
			<catgry>
				<catValu>320200201</catValu>
				<labl>Guatemala 2002</labl>
			</catgry>
			<catgry>
				<catValu>324198301</catValu>
				<labl>Guinea 1983</labl>
			</catgry>
			<catgry>
				<catValu>324199601</catValu>
				<labl>Guinea 1996</labl>
			</catgry>
			<catgry>
				<catValu>324201401</catValu>
				<labl>Guinea 2014</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>340196101</catValu>
				<labl>Honduras 1961</labl>
			</catgry>
			<catgry>
				<catValu>340197401</catValu>
				<labl>Honduras 1974</labl>
			</catgry>
			<catgry>
				<catValu>340198801</catValu>
				<labl>Honduras 1988</labl>
			</catgry>
			<catgry>
				<catValu>340200101</catValu>
				<labl>Honduras 2001</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>348201101</catValu>
				<labl>Hungary 2011</labl>
			</catgry>
			<catgry>
				<catValu>352170301</catValu>
				<labl>Iceland 1703</labl>
			</catgry>
			<catgry>
				<catValu>352172901</catValu>
				<labl>Iceland 1729</labl>
			</catgry>
			<catgry>
				<catValu>352180101</catValu>
				<labl>Iceland 1801</labl>
			</catgry>
			<catgry>
				<catValu>352190101</catValu>
				<labl>Iceland 1901</labl>
			</catgry>
			<catgry>
				<catValu>352191001</catValu>
				<labl>Iceland 1910</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>356200941</catValu>
				<labl>India 2009</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>364201101</catValu>
				<labl>Iran 2011</labl>
			</catgry>
			<catgry>
				<catValu>368199701</catValu>
				<labl>Iraq 1997</labl>
			</catgry>
			<catgry>
				<catValu>372190101</catValu>
				<labl>Ireland 1901</labl>
			</catgry>
			<catgry>
				<catValu>372191101</catValu>
				<labl>Ireland 1911</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>372201601</catValu>
				<labl>Ireland 2016</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>376200801</catValu>
				<labl>Israel 2008</labl>
			</catgry>
			<catgry>
				<catValu>380200101</catValu>
				<labl>Italy 2001</labl>
			</catgry>
			<catgry>
				<catValu>380201101</catValu>
				<labl>Italy 2011</labl>
			</catgry>
			<catgry>
				<catValu>380201121</catValu>
				<labl>Italy 2011 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201221</catValu>
				<labl>Italy 2012 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201321</catValu>
				<labl>Italy 2013 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201421</catValu>
				<labl>Italy 2014 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201521</catValu>
				<labl>Italy 2015 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201621</catValu>
				<labl>Italy 2016 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201721</catValu>
				<labl>Italy 2017 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201821</catValu>
				<labl>Italy 2018 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380201921</catValu>
				<labl>Italy 2019 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>380202021</catValu>
				<labl>Italy 2020 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>384198801</catValu>
				<labl>Ivory Coast 1988</labl>
			</catgry>
			<catgry>
				<catValu>384199801</catValu>
				<labl>Ivory Coast 1998</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>418199501</catValu>
				<labl>Laos 1995</labl>
			</catgry>
			<catgry>
				<catValu>418200501</catValu>
				<labl>Laos 2005</labl>
			</catgry>
			<catgry>
				<catValu>418201501</catValu>
				<labl>Laos 2015</labl>
			</catgry>
			<catgry>
				<catValu>426199601</catValu>
				<labl>Lesotho 1996</labl>
			</catgry>
			<catgry>
				<catValu>426200601</catValu>
				<labl>Lesotho 2006</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>480199001</catValu>
				<labl>Mauritius 1990</labl>
			</catgry>
			<catgry>
				<catValu>480200001</catValu>
				<labl>Mauritius 2000</labl>
			</catgry>
			<catgry>
				<catValu>480201101</catValu>
				<labl>Mauritius 2011</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>484201501</catValu>
				<labl>Mexico 2015</labl>
			</catgry>
			<catgry>
				<catValu>484202001</catValu>
				<labl>Mexico 2020</labl>
			</catgry>
			<catgry>
				<catValu>484200521</catValu>
				<labl>Mexico 2005 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200522</catValu>
				<labl>Mexico 2005 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200523</catValu>
				<labl>Mexico 2005 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200524</catValu>
				<labl>Mexico 2005 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200621</catValu>
				<labl>Mexico 2006 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200622</catValu>
				<labl>Mexico 2006 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200623</catValu>
				<labl>Mexico 2006 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200624</catValu>
				<labl>Mexico 2006 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200721</catValu>
				<labl>Mexico 2007 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200722</catValu>
				<labl>Mexico 2007 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200723</catValu>
				<labl>Mexico 2007 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200724</catValu>
				<labl>Mexico 2007 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200821</catValu>
				<labl>Mexico 2008 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200822</catValu>
				<labl>Mexico 2008 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200823</catValu>
				<labl>Mexico 2008 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200824</catValu>
				<labl>Mexico 2008 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200921</catValu>
				<labl>Mexico 2009 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200922</catValu>
				<labl>Mexico 2009 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200923</catValu>
				<labl>Mexico 2009 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484200924</catValu>
				<labl>Mexico 2009 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201021</catValu>
				<labl>Mexico 2010 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201022</catValu>
				<labl>Mexico 2010 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201023</catValu>
				<labl>Mexico 2010 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201024</catValu>
				<labl>Mexico 2010 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201121</catValu>
				<labl>Mexico 2011 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201122</catValu>
				<labl>Mexico 2011 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201123</catValu>
				<labl>Mexico 2011 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201124</catValu>
				<labl>Mexico 2011 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201221</catValu>
				<labl>Mexico 2012 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201222</catValu>
				<labl>Mexico 2012 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201223</catValu>
				<labl>Mexico 2012 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201224</catValu>
				<labl>Mexico 2012 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201321</catValu>
				<labl>Mexico 2013 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201322</catValu>
				<labl>Mexico 2013 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201323</catValu>
				<labl>Mexico 2013 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201324</catValu>
				<labl>Mexico 2013 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201421</catValu>
				<labl>Mexico 2014 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201422</catValu>
				<labl>Mexico 2014 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201423</catValu>
				<labl>Mexico 2014 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201424</catValu>
				<labl>Mexico 2014 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201521</catValu>
				<labl>Mexico 2015 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201522</catValu>
				<labl>Mexico 2015 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201523</catValu>
				<labl>Mexico 2015 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201524</catValu>
				<labl>Mexico 2015 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201621</catValu>
				<labl>Mexico 2016 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201622</catValu>
				<labl>Mexico 2016 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201623</catValu>
				<labl>Mexico 2016 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201624</catValu>
				<labl>Mexico 2016 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201721</catValu>
				<labl>Mexico 2017 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201722</catValu>
				<labl>Mexico 2017 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201723</catValu>
				<labl>Mexico 2017 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201724</catValu>
				<labl>Mexico 2017 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201821</catValu>
				<labl>Mexico 2018 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201822</catValu>
				<labl>Mexico 2018 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201823</catValu>
				<labl>Mexico 2018 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201824</catValu>
				<labl>Mexico 2018 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201921</catValu>
				<labl>Mexico 2019 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201922</catValu>
				<labl>Mexico 2019 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201923</catValu>
				<labl>Mexico 2019 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484201924</catValu>
				<labl>Mexico 2019 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484202021</catValu>
				<labl>Mexico 2020 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>484202023</catValu>
				<labl>Mexico 2020 Q3 LFS</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>504201401</catValu>
				<labl>Morocco 2014</labl>
			</catgry>
			<catgry>
				<catValu>508199701</catValu>
				<labl>Mozambique 1997</labl>
			</catgry>
			<catgry>
				<catValu>508200701</catValu>
				<labl>Mozambique 2007</labl>
			</catgry>
			<catgry>
				<catValu>104201401</catValu>
				<labl>Myanmar 2014</labl>
			</catgry>
			<catgry>
				<catValu>524200101</catValu>
				<labl>Nepal 2001</labl>
			</catgry>
			<catgry>
				<catValu>524201101</catValu>
				<labl>Nepal 2011</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>528201101</catValu>
				<labl>Netherlands 2011</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>578180101</catValu>
				<labl>Norway 1801</labl>
			</catgry>
			<catgry>
				<catValu>578186501</catValu>
				<labl>Norway 1865</labl>
			</catgry>
			<catgry>
				<catValu>578187501</catValu>
				<labl>Norway 1875</labl>
			</catgry>
			<catgry>
				<catValu>578190001</catValu>
				<labl>Norway 1900</labl>
			</catgry>
			<catgry>
				<catValu>578191001</catValu>
				<labl>Norway 1910</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>275199701</catValu>
				<labl>Palestine 1997</labl>
			</catgry>
			<catgry>
				<catValu>275200701</catValu>
				<labl>Palestine 2007</labl>
			</catgry>
			<catgry>
				<catValu>275201701</catValu>
				<labl>Palestine 2017</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>598198001</catValu>
				<labl>Papua New Guinea 1980</labl>
			</catgry>
			<catgry>
				<catValu>598199001</catValu>
				<labl>Papua New Guinea 1990</labl>
			</catgry>
			<catgry>
				<catValu>598200001</catValu>
				<labl>Papua New Guinea 2000</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>604201701</catValu>
				<labl>Peru 2017</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>608201001</catValu>
				<labl>Philippines 2010</labl>
			</catgry>
			<catgry>
				<catValu>616197801</catValu>
				<labl>Poland 1978</labl>
			</catgry>
			<catgry>
				<catValu>616198801</catValu>
				<labl>Poland 1988</labl>
			</catgry>
			<catgry>
				<catValu>616200201</catValu>
				<labl>Poland 2002</labl>
			</catgry>
			<catgry>
				<catValu>616201101</catValu>
				<labl>Poland 2011</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>630201501</catValu>
				<labl>Puerto Rico 2015</labl>
			</catgry>
			<catgry>
				<catValu>630202001</catValu>
				<labl>Puerto Rico 2020</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>642201101</catValu>
				<labl>Romania 2011</labl>
			</catgry>
			<catgry>
				<catValu>643200201</catValu>
				<labl>Russia 2002</labl>
			</catgry>
			<catgry>
				<catValu>643201001</catValu>
				<labl>Russia 2010</labl>
			</catgry>
			<catgry>
				<catValu>646199101</catValu>
				<labl>Rwanda 1991</labl>
			</catgry>
			<catgry>
				<catValu>646200201</catValu>
				<labl>Rwanda 2002</labl>
			</catgry>
			<catgry>
				<catValu>646201201</catValu>
				<labl>Rwanda 2012</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>686201301</catValu>
				<labl>Senegal 2013</labl>
			</catgry>
			<catgry>
				<catValu>694200401</catValu>
				<labl>Sierra Leone 2004</labl>
			</catgry>
			<catgry>
				<catValu>694201501</catValu>
				<labl>Sierra Leone 2015</labl>
			</catgry>
			<catgry>
				<catValu>703199101</catValu>
				<labl>Slovak Republic 1991</labl>
			</catgry>
			<catgry>
				<catValu>703200101</catValu>
				<labl>Slovak Republic 2001</labl>
			</catgry>
			<catgry>
				<catValu>703201101</catValu>
				<labl>Slovak Republic 2011</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>710201601</catValu>
				<labl>South Africa 2016</labl>
			</catgry>
			<catgry>
				<catValu>728200801</catValu>
				<labl>South Sudan 2008</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>724200521</catValu>
				<labl>Spain 2005 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200522</catValu>
				<labl>Spain 2005 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200523</catValu>
				<labl>Spain 2005 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200524</catValu>
				<labl>Spain 2005 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200621</catValu>
				<labl>Spain 2006 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200622</catValu>
				<labl>Spain 2006 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200623</catValu>
				<labl>Spain 2006 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200624</catValu>
				<labl>Spain 2006 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200721</catValu>
				<labl>Spain 2007 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200722</catValu>
				<labl>Spain 2007 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200723</catValu>
				<labl>Spain 2007 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200724</catValu>
				<labl>Spain 2007 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200821</catValu>
				<labl>Spain 2008 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200822</catValu>
				<labl>Spain 2008 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200823</catValu>
				<labl>Spain 2008 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200824</catValu>
				<labl>Spain 2008 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200921</catValu>
				<labl>Spain 2009 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200922</catValu>
				<labl>Spain 2009 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200923</catValu>
				<labl>Spain 2009 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724200924</catValu>
				<labl>Spain 2009 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201021</catValu>
				<labl>Spain 2010 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201022</catValu>
				<labl>Spain 2010 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201023</catValu>
				<labl>Spain 2010 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201024</catValu>
				<labl>Spain 2010 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201121</catValu>
				<labl>Spain 2011 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201122</catValu>
				<labl>Spain 2011 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201123</catValu>
				<labl>Spain 2011 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201124</catValu>
				<labl>Spain 2011 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201221</catValu>
				<labl>Spain 2012 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201222</catValu>
				<labl>Spain 2012 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201223</catValu>
				<labl>Spain 2012 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201224</catValu>
				<labl>Spain 2012 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201321</catValu>
				<labl>Spain 2013 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201322</catValu>
				<labl>Spain 2013 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201323</catValu>
				<labl>Spain 2013 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201324</catValu>
				<labl>Spain 2013 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201421</catValu>
				<labl>Spain 2014 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201422</catValu>
				<labl>Spain 2014 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201423</catValu>
				<labl>Spain 2014 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201424</catValu>
				<labl>Spain 2014 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201521</catValu>
				<labl>Spain 2015 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201522</catValu>
				<labl>Spain 2015 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201523</catValu>
				<labl>Spain 2015 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201524</catValu>
				<labl>Spain 2015 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201621</catValu>
				<labl>Spain 2016 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201622</catValu>
				<labl>Spain 2016 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201623</catValu>
				<labl>Spain 2016 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201624</catValu>
				<labl>Spain 2016 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201721</catValu>
				<labl>Spain 2017 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201722</catValu>
				<labl>Spain 2017 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201723</catValu>
				<labl>Spain 2017 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201724</catValu>
				<labl>Spain 2017 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201821</catValu>
				<labl>Spain 2018 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201822</catValu>
				<labl>Spain 2018 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201823</catValu>
				<labl>Spain 2018 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201824</catValu>
				<labl>Spain 2018 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201921</catValu>
				<labl>Spain 2019 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201922</catValu>
				<labl>Spain 2019 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201923</catValu>
				<labl>Spain 2019 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724201924</catValu>
				<labl>Spain 2019 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724202021</catValu>
				<labl>Spain 2020 Q1 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724202022</catValu>
				<labl>Spain 2020 Q2 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724202023</catValu>
				<labl>Spain 2020 Q3 LFS</labl>
			</catgry>
			<catgry>
				<catValu>724202024</catValu>
				<labl>Spain 2020 Q4 LFS</labl>
			</catgry>
			<catgry>
				<catValu>729200801</catValu>
				<labl>Sudan 2008</labl>
			</catgry>
			<catgry>
				<catValu>740200401</catValu>
				<labl>Suriname 2004</labl>
			</catgry>
			<catgry>
				<catValu>740201201</catValu>
				<labl>Suriname 2012</labl>
			</catgry>
			<catgry>
				<catValu>752188001</catValu>
				<labl>Sweden 1880</labl>
			</catgry>
			<catgry>
				<catValu>752189001</catValu>
				<labl>Sweden 1890</labl>
			</catgry>
			<catgry>
				<catValu>752190001</catValu>
				<labl>Sweden 1900</labl>
			</catgry>
			<catgry>
				<catValu>752191001</catValu>
				<labl>Sweden 1910</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>756201101</catValu>
				<labl>Switzerland 2011</labl>
			</catgry>
			<catgry>
				<catValu>834198801</catValu>
				<labl>Tanzania 1988</labl>
			</catgry>
			<catgry>
				<catValu>834200201</catValu>
				<labl>Tanzania 2002</labl>
			</catgry>
			<catgry>
				<catValu>834201201</catValu>
				<labl>Tanzania 2012</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>768196001</catValu>
				<labl>Togo 1960</labl>
			</catgry>
			<catgry>
				<catValu>768197001</catValu>
				<labl>Togo 1970</labl>
			</catgry>
			<catgry>
				<catValu>768201001</catValu>
				<labl>Togo 2010</labl>
			</catgry>
			<catgry>
				<catValu>780197001</catValu>
				<labl>Trinidad and Tobago 1970</labl>
			</catgry>
			<catgry>
				<catValu>780198001</catValu>
				<labl>Trinidad and Tobago 1980</labl>
			</catgry>
			<catgry>
				<catValu>780199001</catValu>
				<labl>Trinidad and Tobago 1990</labl>
			</catgry>
			<catgry>
				<catValu>780200001</catValu>
				<labl>Trinidad and Tobago 2000</labl>
			</catgry>
			<catgry>
				<catValu>780201101</catValu>
				<labl>Trinidad and Tobago 2011</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>800201401</catValu>
				<labl>Uganda 2014</labl>
			</catgry>
			<catgry>
				<catValu>804200101</catValu>
				<labl>Ukraine 2001</labl>
			</catgry>
			<catgry>
				<catValu>826185101</catValu>
				<labl>United Kingdom 1851 (England and Wales)</labl>
			</catgry>
			<catgry>
				<catValu>826185102</catValu>
				<labl>United Kingdom 1851 (Scotland)</labl>
			</catgry>
			<catgry>
				<catValu>826185103</catValu>
				<labl>United Kingdom 1851 (2% sample)</labl>
			</catgry>
			<catgry>
				<catValu>826186101</catValu>
				<labl>United Kingdom 1861 (England and Wales)</labl>
			</catgry>
			<catgry>
				<catValu>826186102</catValu>
				<labl>United Kingdom 1861 (Scotland)</labl>
			</catgry>
			<catgry>
				<catValu>826187101</catValu>
				<labl>United Kingdom 1871 (Scotland)</labl>
			</catgry>
			<catgry>
				<catValu>826188101</catValu>
				<labl>United Kingdom 1881 (England and Wales)</labl>
			</catgry>
			<catgry>
				<catValu>826188102</catValu>
				<labl>United Kingdom 1881 (Scotland)</labl>
			</catgry>
			<catgry>
				<catValu>826189101</catValu>
				<labl>United Kingdom 1891 (England and Wales)</labl>
			</catgry>
			<catgry>
				<catValu>826189102</catValu>
				<labl>United Kingdom 1891 (Scotland)</labl>
			</catgry>
			<catgry>
				<catValu>826190101</catValu>
				<labl>United Kingdom 1901 (England and Wales)</labl>
			</catgry>
			<catgry>
				<catValu>826190102</catValu>
				<labl>United Kingdom 1901 (Scotland)</labl>
			</catgry>
			<catgry>
				<catValu>826191101</catValu>
				<labl>United Kingdom 1911 (England and Wales)</labl>
			</catgry>
			<catgry>
				<catValu>826196101</catValu>
				<labl>United Kingdom 1961</labl>
			</catgry>
			<catgry>
				<catValu>826197101</catValu>
				<labl>United Kingdom 1971</labl>
			</catgry>
			<catgry>
				<catValu>826199101</catValu>
				<labl>United Kingdom 1991</labl>
			</catgry>
			<catgry>
				<catValu>826200101</catValu>
				<labl>United Kingdom 2001</labl>
			</catgry>
			<catgry>
				<catValu>840185001</catValu>
				<labl>United States 1850 (100%)</labl>
			</catgry>
			<catgry>
				<catValu>840185002</catValu>
				<labl>United States 1850 (1%)</labl>
			</catgry>
			<catgry>
				<catValu>840186001</catValu>
				<labl>United States 1860 (1%)</labl>
			</catgry>
			<catgry>
				<catValu>840187001</catValu>
				<labl>United States 1870 (1%)</labl>
			</catgry>
			<catgry>
				<catValu>840188001</catValu>
				<labl>United States 1880 (100%)</labl>
			</catgry>
			<catgry>
				<catValu>840188002</catValu>
				<labl>United States 1880 (10%)</labl>
			</catgry>
			<catgry>
				<catValu>840190001</catValu>
				<labl>United States 1900 (5%)</labl>
			</catgry>
			<catgry>
				<catValu>840191001</catValu>
				<labl>United States 1910 (1%)</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>840201501</catValu>
				<labl>United States 2015</labl>
			</catgry>
			<catgry>
				<catValu>840202001</catValu>
				<labl>United States 2020</labl>
			</catgry>
			<catgry>
				<catValu>858196301</catValu>
				<labl>Uruguay 1963</labl>
			</catgry>
			<catgry>
				<catValu>858196302</catValu>
				<labl>Uruguay 1963 (full count)</labl>
			</catgry>
			<catgry>
				<catValu>858197501</catValu>
				<labl>Uruguay 1975</labl>
			</catgry>
			<catgry>
				<catValu>858197502</catValu>
				<labl>Uruguay 1975 (full count)</labl>
			</catgry>
			<catgry>
				<catValu>858198501</catValu>
				<labl>Uruguay 1985</labl>
			</catgry>
			<catgry>
				<catValu>858198502</catValu>
				<labl>Uruguay 1985 (full count)</labl>
			</catgry>
			<catgry>
				<catValu>858199601</catValu>
				<labl>Uruguay 1996</labl>
			</catgry>
			<catgry>
				<catValu>858199602</catValu>
				<labl>Uruguay 1996 (full count)</labl>
			</catgry>
			<catgry>
				<catValu>858200621</catValu>
				<labl>Uruguay 2006</labl>
			</catgry>
			<catgry>
				<catValu>858201101</catValu>
				<labl>Uruguay 2011</labl>
			</catgry>
			<catgry>
				<catValu>858201102</catValu>
				<labl>Uruguay 2011 (full count)</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>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>704201901</catValu>
				<labl>Vietnam 2019</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>
			<catgry>
				<catValu>716201201</catValu>
				<labl>Zimbabwe 2012</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="SERIAL" dcml="0" files="H" intrvl="contin" name="SERIAL">
			<location EndPos="29" StartPos="18" width="12"></location>
			<labl>Household serial number</labl>
			<txt>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, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In 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.

The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL.</txt>
			<codInstr>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="PERSONS" dcml="0" files="H" intrvl="contin" name="PERSONS">
			<location EndPos="33" StartPos="30" width="4"></location>
			<labl>Number of person records in the household</labl>
			<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 4-digit numeric variable.</codInstr>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="HHWT" dcml="2" files="H" intrvl="contin" name="HHWT">
			<location EndPos="41" StartPos="34" width="8"></location>
			<labl>Household weight</labl>
			<txt>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="SUBSAMP" dcml="0" files="H" intrvl="discrete" name="SUBSAMP">
			<location EndPos="43" StartPos="42" width="2"></location>
			<labl>Subsample number</labl>
			<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>00</catValu>
				<labl>1st 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>2nd 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>3rd 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>4th 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>5th 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>6th 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>7th 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>8th 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>9th 1% subsample</labl>
			</catgry>
			<catgry>
				<catValu>09</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GQ" dcml="0" files="H" intrvl="discrete" name="GQ">
			<location EndPos="45" StartPos="44" width="2"></location>
			<labl>Group quarters (collective dwelling) status</labl>
			<txt>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>00</catValu>
				<labl>Vacant</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Households</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Group quarters (collective), 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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="URBAN" dcml="0" files="H" intrvl="discrete" name="URBAN">
			<location EndPos="46" StartPos="46" width="1"></location>
			<labl>Urban-rural status</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="REGIONW" dcml="0" files="H" intrvl="discrete" name="REGIONW">
			<location EndPos="48" StartPos="47" width="2"></location>
			<labl>Continent and region of country</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEOLEV1" dcml="0" files="H" intrvl="contin" name="GEOLEV1">
			<location EndPos="54" StartPos="49" width="6"></location>
			<labl>1st subnational geographic level, world [consistent boundaries over time]</labl>
			<txt>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>
			<codInstr>GEOLEV1 is a 6-digit numeric variable.  

GEOLEV1 codes and labels can be found here.

Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR.</codInstr>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEOLEV2" dcml="0" files="H" intrvl="contin" name="GEOLEV2">
			<location EndPos="63" StartPos="55" width="9"></location>
			<labl>2nd subnational geographic level, world [consistent boundaries over time]</labl>
			<txt>GEOLEV2 indicates the second 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. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country.</txt>
			<codInstr>GEOLEV2 is a 9-digit numeric variable.  

GEOLEV2 codes and labels can be found here.

Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR.</codInstr>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ENUTS1" dcml="0" files="H" intrvl="discrete" name="ENUTS1">
			<location EndPos="67" StartPos="64" width="4"></location>
			<labl>Nomenclature of Territorial Units for Statistics 1, Europe</labl>
			<txt>ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.

ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification.

The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.

Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<catgry>
				<catValu>0101</catValu>
				<labl>AT1 / Ostösterreich</labl>
			</catgry>
			<catgry>
				<catValu>0102</catValu>
				<labl>AT2 / Südösterreich</labl>
			</catgry>
			<catgry>
				<catValu>0103</catValu>
				<labl>AT3 / Westösterreich</labl>
			</catgry>
			<catgry>
				<catValu>0601</catValu>
				<labl>DE1 / Baden-Württemberg</labl>
			</catgry>
			<catgry>
				<catValu>0602</catValu>
				<labl>DE2 / Bayern</labl>
			</catgry>
			<catgry>
				<catValu>0603</catValu>
				<labl>DE3 / Berlin</labl>
			</catgry>
			<catgry>
				<catValu>0604</catValu>
				<labl>DE4 / Brandenburg</labl>
			</catgry>
			<catgry>
				<catValu>0605</catValu>
				<labl>DE5 / Bremen</labl>
			</catgry>
			<catgry>
				<catValu>0606</catValu>
				<labl>DE6 / Hamburg</labl>
			</catgry>
			<catgry>
				<catValu>0607</catValu>
				<labl>DE7 / Hessen</labl>
			</catgry>
			<catgry>
				<catValu>0608</catValu>
				<labl>DE8 / Mecklenburg-Vorpommern</labl>
			</catgry>
			<catgry>
				<catValu>0609</catValu>
				<labl>DE9 / Niedersachsen</labl>
			</catgry>
			<catgry>
				<catValu>0610</catValu>
				<labl>DEA / Nordrhein-Westfalen</labl>
			</catgry>
			<catgry>
				<catValu>0611</catValu>
				<labl>DEB / Rheinland-Pfalz</labl>
			</catgry>
			<catgry>
				<catValu>0612</catValu>
				<labl>DEC / Saarland</labl>
			</catgry>
			<catgry>
				<catValu>0613</catValu>
				<labl>DED / Sachsen</labl>
			</catgry>
			<catgry>
				<catValu>0614</catValu>
				<labl>DEE / Sachsen-Anhalt</labl>
			</catgry>
			<catgry>
				<catValu>0615</catValu>
				<labl>DEF / Schleswig-Holstein</labl>
			</catgry>
			<catgry>
				<catValu>0616</catValu>
				<labl>DEG / Thüringen</labl>
			</catgry>
			<catgry>
				<catValu>0901</catValu>
				<labl>ES1 / Noroeste</labl>
			</catgry>
			<catgry>
				<catValu>0902</catValu>
				<labl>ES2 / Noreste</labl>
			</catgry>
			<catgry>
				<catValu>0903</catValu>
				<labl>ES3 / Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>0904</catValu>
				<labl>ES4 / Centro (E)</labl>
			</catgry>
			<catgry>
				<catValu>0905</catValu>
				<labl>ES5 / Este</labl>
			</catgry>
			<catgry>
				<catValu>0906</catValu>
				<labl>ES6 / Sur</labl>
			</catgry>
			<catgry>
				<catValu>0907</catValu>
				<labl>ES7 / Canarias</labl>
			</catgry>
			<catgry>
				<catValu>0909</catValu>
				<labl>ES / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>1101</catValu>
				<labl>FR1 / Île de France</labl>
			</catgry>
			<catgry>
				<catValu>1102</catValu>
				<labl>FR2 / Bassin Parisien</labl>
			</catgry>
			<catgry>
				<catValu>1103</catValu>
				<labl>FR3 / Nord - Pas-de-Calais</labl>
			</catgry>
			<catgry>
				<catValu>1104</catValu>
				<labl>FR4 / Est</labl>
			</catgry>
			<catgry>
				<catValu>1105</catValu>
				<labl>FR5 / Ouest</labl>
			</catgry>
			<catgry>
				<catValu>1106</catValu>
				<labl>FR6 / Sud-Ouest</labl>
			</catgry>
			<catgry>
				<catValu>1107</catValu>
				<labl>FR7 / Centre-Est</labl>
			</catgry>
			<catgry>
				<catValu>1108</catValu>
				<labl>FR8 / Méditerranée</labl>
			</catgry>
			<catgry>
				<catValu>1109</catValu>
				<labl>FR9 / Département d’Outre-Mer</labl>
			</catgry>
			<catgry>
				<catValu>1199</catValu>
				<labl>FR99 / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>1201</catValu>
				<labl>EL1 / Voreia Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1202</catValu>
				<labl>EL2 / Kentriki Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1203</catValu>
				<labl>EL3 / Attiki</labl>
			</catgry>
			<catgry>
				<catValu>1204</catValu>
				<labl>EL4 / Nisia Aigaiou, Kriti</labl>
			</catgry>
			<catgry>
				<catValu>1400</catValu>
				<labl>IE0 / Republic of Ireland</labl>
			</catgry>
			<catgry>
				<catValu>1503</catValu>
				<labl>ITC / Nord-Ovest</labl>
			</catgry>
			<catgry>
				<catValu>1506</catValu>
				<labl>ITF / Sud</labl>
			</catgry>
			<catgry>
				<catValu>1507</catValu>
				<labl>ITG / Isole</labl>
			</catgry>
			<catgry>
				<catValu>1508</catValu>
				<labl>ITH / Nord-Est</labl>
			</catgry>
			<catgry>
				<catValu>1509</catValu>
				<labl>ITI / Centro</labl>
			</catgry>
			<catgry>
				<catValu>2101</catValu>
				<labl>PL1 / Centralny</labl>
			</catgry>
			<catgry>
				<catValu>2102</catValu>
				<labl>PL2 / Południowy</labl>
			</catgry>
			<catgry>
				<catValu>2103</catValu>
				<labl>PL3 / Wschodni</labl>
			</catgry>
			<catgry>
				<catValu>2104</catValu>
				<labl>PL4 / Północno-zachodni</labl>
			</catgry>
			<catgry>
				<catValu>2105</catValu>
				<labl>PL5 / Południowo-zachodni</labl>
			</catgry>
			<catgry>
				<catValu>2106</catValu>
				<labl>PL6 / Północny</labl>
			</catgry>
			<catgry>
				<catValu>2201</catValu>
				<labl>PT1 / Continente</labl>
			</catgry>
			<catgry>
				<catValu>2202</catValu>
				<labl>PT2 / Região Autónoma dos Açores</labl>
			</catgry>
			<catgry>
				<catValu>2203</catValu>
				<labl>PT3 / Região Autónoma da Madeira</labl>
			</catgry>
			<catgry>
				<catValu>2301</catValu>
				<labl>RO1 / Macroregiunea Unu</labl>
			</catgry>
			<catgry>
				<catValu>2302</catValu>
				<labl>RO2 / Macroregiunea Doi</labl>
			</catgry>
			<catgry>
				<catValu>2303</catValu>
				<labl>RO3 / Macroregiunea Trei</labl>
			</catgry>
			<catgry>
				<catValu>2304</catValu>
				<labl>RO4 / Macroregiunea Patru</labl>
			</catgry>
			<catgry>
				<catValu>2501</catValu>
				<labl>SI0 / Slovenia</labl>
			</catgry>
			<catgry>
				<catValu>2600</catValu>
				<labl>SK0 / Slovensko</labl>
			</catgry>
			<catgry>
				<catValu>2701</catValu>
				<labl>UKC / North East (England)</labl>
			</catgry>
			<catgry>
				<catValu>2702</catValu>
				<labl>UKD / North West (England)</labl>
			</catgry>
			<catgry>
				<catValu>2703</catValu>
				<labl>UKE / Yorkshire and the Humber (England)</labl>
			</catgry>
			<catgry>
				<catValu>2704</catValu>
				<labl>UKF / East Midlands (England)</labl>
			</catgry>
			<catgry>
				<catValu>2705</catValu>
				<labl>UKG / West Midlands (England)</labl>
			</catgry>
			<catgry>
				<catValu>2706</catValu>
				<labl>UKH / East of England (England)</labl>
			</catgry>
			<catgry>
				<catValu>2707</catValu>
				<labl>UKI / LONDON (England)</labl>
			</catgry>
			<catgry>
				<catValu>2708</catValu>
				<labl>UKJ / South East (England)</labl>
			</catgry>
			<catgry>
				<catValu>2709</catValu>
				<labl>UKK / South West (England)</labl>
			</catgry>
			<catgry>
				<catValu>2710</catValu>
				<labl>UKL / WALES</labl>
			</catgry>
			<catgry>
				<catValu>2711</catValu>
				<labl>UKM / SCOTLAND</labl>
			</catgry>
			<catgry>
				<catValu>2712</catValu>
				<labl>UKN / NORTHERN IRELAND</labl>
			</catgry>
			<catgry>
				<catValu>3400</catValu>
				<labl>CH0/Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>3901</catValu>
				<labl>TR1 / Istanbul</labl>
			</catgry>
			<catgry>
				<catValu>3902</catValu>
				<labl>TR2 / Bati Marmara</labl>
			</catgry>
			<catgry>
				<catValu>3903</catValu>
				<labl>TR3 / Ege</labl>
			</catgry>
			<catgry>
				<catValu>3904</catValu>
				<labl>TR4 / Dogu Marmara</labl>
			</catgry>
			<catgry>
				<catValu>3905</catValu>
				<labl>TR5 / Bati Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3906</catValu>
				<labl>TR6 / Akdeniz</labl>
			</catgry>
			<catgry>
				<catValu>3907</catValu>
				<labl>TR7 / Orta Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3908</catValu>
				<labl>TR8 / Bati Karadeniz</labl>
			</catgry>
			<catgry>
				<catValu>3909</catValu>
				<labl>TR9 / Dogu Karadeniz</labl>
			</catgry>
			<catgry>
				<catValu>3911</catValu>
				<labl>TRA / Kuzeydogu Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3912</catValu>
				<labl>TRB / Ortadogu Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3913</catValu>
				<labl>TRC / Güneydogu Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>9999</catValu>
				<labl>UNKNOWN</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ENUTS2" dcml="0" files="H" intrvl="discrete" name="ENUTS2">
			<location EndPos="71" StartPos="68" width="4"></location>
			<labl>Nomenclature of Territorial Units for Statistics 2, Europe</labl>
			<txt>ENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.

ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat.

The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.

The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<catgry>
				<catValu>0111</catValu>
				<labl>AT11 / Burgenland</labl>
			</catgry>
			<catgry>
				<catValu>0112</catValu>
				<labl>AT12 / Niederösterreich</labl>
			</catgry>
			<catgry>
				<catValu>0113</catValu>
				<labl>AT13 / Wien</labl>
			</catgry>
			<catgry>
				<catValu>0121</catValu>
				<labl>AT21 / Kärnten</labl>
			</catgry>
			<catgry>
				<catValu>0122</catValu>
				<labl>AT22 / Steiermark</labl>
			</catgry>
			<catgry>
				<catValu>0131</catValu>
				<labl>AT31 / Oberösterreich</labl>
			</catgry>
			<catgry>
				<catValu>0132</catValu>
				<labl>AT32 / Salzburg</labl>
			</catgry>
			<catgry>
				<catValu>0133</catValu>
				<labl>AT33 / Tirol</labl>
			</catgry>
			<catgry>
				<catValu>0134</catValu>
				<labl>AT34 / Vorarlberg</labl>
			</catgry>
			<catgry>
				<catValu>0911</catValu>
				<labl>ES11 / Galicia</labl>
			</catgry>
			<catgry>
				<catValu>0912</catValu>
				<labl>ES12 / Principado de Asturias</labl>
			</catgry>
			<catgry>
				<catValu>0913</catValu>
				<labl>ES13 / Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>0921</catValu>
				<labl>ES21 / País Vasco</labl>
			</catgry>
			<catgry>
				<catValu>0922</catValu>
				<labl>ES22 / Comunidad Foral de Navarra</labl>
			</catgry>
			<catgry>
				<catValu>0923</catValu>
				<labl>ES23 / La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>0924</catValu>
				<labl>ES24 / Aragón</labl>
			</catgry>
			<catgry>
				<catValu>0930</catValu>
				<labl>ES30 / Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>0941</catValu>
				<labl>ES41 / Castilla y León</labl>
			</catgry>
			<catgry>
				<catValu>0942</catValu>
				<labl>ES42 / Castilla-La Mancha</labl>
			</catgry>
			<catgry>
				<catValu>0943</catValu>
				<labl>ES43 / Extremadura</labl>
			</catgry>
			<catgry>
				<catValu>0951</catValu>
				<labl>ES51 / Cataluña</labl>
			</catgry>
			<catgry>
				<catValu>0952</catValu>
				<labl>ES52 / Comunidad Valenciana</labl>
			</catgry>
			<catgry>
				<catValu>0953</catValu>
				<labl>ES53 / Illes Balears</labl>
			</catgry>
			<catgry>
				<catValu>0961</catValu>
				<labl>ES61 / Andalucía</labl>
			</catgry>
			<catgry>
				<catValu>0962</catValu>
				<labl>ES62 / Región de Murcia</labl>
			</catgry>
			<catgry>
				<catValu>0963</catValu>
				<labl>ES63 / Ciudad Autónoma de Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>0964</catValu>
				<labl>ES64 / Ciudad Autónoma de Melilla</labl>
			</catgry>
			<catgry>
				<catValu>0970</catValu>
				<labl>ES70 / Canarias</labl>
			</catgry>
			<catgry>
				<catValu>0999</catValu>
				<labl>ES / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>1110</catValu>
				<labl>FR10 / Île de France</labl>
			</catgry>
			<catgry>
				<catValu>1121</catValu>
				<labl>FR21 / Champagne-Ardenne</labl>
			</catgry>
			<catgry>
				<catValu>1122</catValu>
				<labl>FR22 / Picardie</labl>
			</catgry>
			<catgry>
				<catValu>1123</catValu>
				<labl>FR23 / Haute-Normandie</labl>
			</catgry>
			<catgry>
				<catValu>1124</catValu>
				<labl>FR24 / Centre</labl>
			</catgry>
			<catgry>
				<catValu>1125</catValu>
				<labl>FR25 / Basse-Normandie</labl>
			</catgry>
			<catgry>
				<catValu>1126</catValu>
				<labl>FR26 / Bourgogne</labl>
			</catgry>
			<catgry>
				<catValu>1130</catValu>
				<labl>FR30 / Nord-Pas-de-Calais</labl>
			</catgry>
			<catgry>
				<catValu>1141</catValu>
				<labl>FR41 / Lorraine</labl>
			</catgry>
			<catgry>
				<catValu>1142</catValu>
				<labl>FR42 / Alsace</labl>
			</catgry>
			<catgry>
				<catValu>1143</catValu>
				<labl>FR43 / Franche-Comté</labl>
			</catgry>
			<catgry>
				<catValu>1151</catValu>
				<labl>FR51 / Pays de la Loire</labl>
			</catgry>
			<catgry>
				<catValu>1152</catValu>
				<labl>FR52 / Bretagne</labl>
			</catgry>
			<catgry>
				<catValu>1153</catValu>
				<labl>FR53 / Poitou-Charentes</labl>
			</catgry>
			<catgry>
				<catValu>1161</catValu>
				<labl>FR61 / Aquitaine</labl>
			</catgry>
			<catgry>
				<catValu>1162</catValu>
				<labl>FR62 / Midi-Pyrénées</labl>
			</catgry>
			<catgry>
				<catValu>1163</catValu>
				<labl>FR63 / Limousin</labl>
			</catgry>
			<catgry>
				<catValu>1171</catValu>
				<labl>FR71 / Rhône-Alpes</labl>
			</catgry>
			<catgry>
				<catValu>1172</catValu>
				<labl>FR72 / Auvergne</labl>
			</catgry>
			<catgry>
				<catValu>1181</catValu>
				<labl>FR81 / Lanquedoc-Roussillon</labl>
			</catgry>
			<catgry>
				<catValu>1182</catValu>
				<labl>FR82 / Provence-Alpes-Côte d'Azur</labl>
			</catgry>
			<catgry>
				<catValu>1183</catValu>
				<labl>FR83 / Corse</labl>
			</catgry>
			<catgry>
				<catValu>1191</catValu>
				<labl>FR91 / Guadeloupe</labl>
			</catgry>
			<catgry>
				<catValu>1192</catValu>
				<labl>FR92 / Martinique</labl>
			</catgry>
			<catgry>
				<catValu>1193</catValu>
				<labl>FR93 / Guyane</labl>
			</catgry>
			<catgry>
				<catValu>1194</catValu>
				<labl>FR94 / Réunion</labl>
			</catgry>
			<catgry>
				<catValu>1199</catValu>
				<labl>FR99 / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>1211</catValu>
				<labl>EL11 / Anatoliki Makedonia, Thraki</labl>
			</catgry>
			<catgry>
				<catValu>1212</catValu>
				<labl>EL12 / Kentriki Makedonia</labl>
			</catgry>
			<catgry>
				<catValu>1213</catValu>
				<labl>EL13 / Dytiki Makedonia</labl>
			</catgry>
			<catgry>
				<catValu>1214</catValu>
				<labl>EL14 / Thessalia</labl>
			</catgry>
			<catgry>
				<catValu>1221</catValu>
				<labl>EL21 / Ipeiros</labl>
			</catgry>
			<catgry>
				<catValu>1222</catValu>
				<labl>EL22 / Ionia Nisia</labl>
			</catgry>
			<catgry>
				<catValu>1223</catValu>
				<labl>EL23 / Dytiki Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1224</catValu>
				<labl>EL24 / Sterea Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1225</catValu>
				<labl>EL25 / Peloponnisos</labl>
			</catgry>
			<catgry>
				<catValu>1230</catValu>
				<labl>EL30 / Attiki</labl>
			</catgry>
			<catgry>
				<catValu>1241</catValu>
				<labl>EL41 / Voreio Aigaio</labl>
			</catgry>
			<catgry>
				<catValu>1242</catValu>
				<labl>EL42 / Notio Aigaio</labl>
			</catgry>
			<catgry>
				<catValu>1243</catValu>
				<labl>EL43 / Kriti</labl>
			</catgry>
			<catgry>
				<catValu>1401</catValu>
				<labl>IE01 / Border, Midland and Western</labl>
			</catgry>
			<catgry>
				<catValu>1402</catValu>
				<labl>IE02 / Southern and Eastern</labl>
			</catgry>
			<catgry>
				<catValu>1531</catValu>
				<labl>ITC1 / Piemonte + ITC2 / Valle d'Aosta</labl>
			</catgry>
			<catgry>
				<catValu>1533</catValu>
				<labl>ITC3 / Liguria</labl>
			</catgry>
			<catgry>
				<catValu>1534</catValu>
				<labl>ITC4 /Lombardia</labl>
			</catgry>
			<catgry>
				<catValu>1561</catValu>
				<labl>ITF1 / Abruzzo</labl>
			</catgry>
			<catgry>
				<catValu>1562</catValu>
				<labl>ITF2 / Molise</labl>
			</catgry>
			<catgry>
				<catValu>1563</catValu>
				<labl>ITF3 / Campania</labl>
			</catgry>
			<catgry>
				<catValu>1564</catValu>
				<labl>ITF4 / Puglia</labl>
			</catgry>
			<catgry>
				<catValu>1565</catValu>
				<labl>ITF5 / Basilicata</labl>
			</catgry>
			<catgry>
				<catValu>1566</catValu>
				<labl>ITF6 / Calabria</labl>
			</catgry>
			<catgry>
				<catValu>1571</catValu>
				<labl>ITG1 / Sicilia</labl>
			</catgry>
			<catgry>
				<catValu>1572</catValu>
				<labl>ITG2 / Sardegna</labl>
			</catgry>
			<catgry>
				<catValu>1581</catValu>
				<labl>ITH1 / Bolzano-Bozen + ITH2 / Trento</labl>
			</catgry>
			<catgry>
				<catValu>1583</catValu>
				<labl>ITH3 / Veneto</labl>
			</catgry>
			<catgry>
				<catValu>1584</catValu>
				<labl>ITH4 / Friuli-Venezia Giulia</labl>
			</catgry>
			<catgry>
				<catValu>1585</catValu>
				<labl>ITH5 / Emilia-Romagna</labl>
			</catgry>
			<catgry>
				<catValu>1591</catValu>
				<labl>ITI1 / Toscana</labl>
			</catgry>
			<catgry>
				<catValu>1592</catValu>
				<labl>ITI2 / Umbria</labl>
			</catgry>
			<catgry>
				<catValu>1593</catValu>
				<labl>ITI3 / Marche</labl>
			</catgry>
			<catgry>
				<catValu>1594</catValu>
				<labl>ITI4 / Lazio</labl>
			</catgry>
			<catgry>
				<catValu>2111</catValu>
				<labl>PL11 / Łódzkie</labl>
			</catgry>
			<catgry>
				<catValu>2112</catValu>
				<labl>PL12 / Mazowieckie</labl>
			</catgry>
			<catgry>
				<catValu>2121</catValu>
				<labl>PL21 / Małopolskie</labl>
			</catgry>
			<catgry>
				<catValu>2122</catValu>
				<labl>PL22 / Śląskie</labl>
			</catgry>
			<catgry>
				<catValu>2131</catValu>
				<labl>PL31 / Lubelskie</labl>
			</catgry>
			<catgry>
				<catValu>2132</catValu>
				<labl>PL32 / Podkarpackie</labl>
			</catgry>
			<catgry>
				<catValu>2133</catValu>
				<labl>PL33 / Świętokrzyskie</labl>
			</catgry>
			<catgry>
				<catValu>2134</catValu>
				<labl>PL34 / Podlaskie</labl>
			</catgry>
			<catgry>
				<catValu>2141</catValu>
				<labl>PL41 / Wielkopolskie</labl>
			</catgry>
			<catgry>
				<catValu>2142</catValu>
				<labl>PL42 / Zachodniopomorskie</labl>
			</catgry>
			<catgry>
				<catValu>2143</catValu>
				<labl>PL43 / Lubuskie</labl>
			</catgry>
			<catgry>
				<catValu>2151</catValu>
				<labl>PL51 / Dolnośląskie</labl>
			</catgry>
			<catgry>
				<catValu>2152</catValu>
				<labl>PL52 / Opolskie</labl>
			</catgry>
			<catgry>
				<catValu>2161</catValu>
				<labl>PL61 / Kujawsko-Pomorskie</labl>
			</catgry>
			<catgry>
				<catValu>2162</catValu>
				<labl>PL62 / Warmińsko-Mazurskie</labl>
			</catgry>
			<catgry>
				<catValu>2163</catValu>
				<labl>PL63 / Pomorskie</labl>
			</catgry>
			<catgry>
				<catValu>2211</catValu>
				<labl>PT11 / Norte</labl>
			</catgry>
			<catgry>
				<catValu>2215</catValu>
				<labl>PT15 / Algarve</labl>
			</catgry>
			<catgry>
				<catValu>2216</catValu>
				<labl>PT16 / Centro (P)</labl>
			</catgry>
			<catgry>
				<catValu>2217</catValu>
				<labl>PT17 / Lisboa</labl>
			</catgry>
			<catgry>
				<catValu>2218</catValu>
				<labl>PT18 / Alentejo</labl>
			</catgry>
			<catgry>
				<catValu>2220</catValu>
				<labl>PT20 / Região Autónoma dos Açores</labl>
			</catgry>
			<catgry>
				<catValu>2230</catValu>
				<labl>PT30 / Região Autónoma da Madeira</labl>
			</catgry>
			<catgry>
				<catValu>2311</catValu>
				<labl>RO11 / Nord-Vest</labl>
			</catgry>
			<catgry>
				<catValu>2312</catValu>
				<labl>RO12 / Centru</labl>
			</catgry>
			<catgry>
				<catValu>2321</catValu>
				<labl>RO21 / Nord-Est</labl>
			</catgry>
			<catgry>
				<catValu>2322</catValu>
				<labl>RO22 / Sud-Est</labl>
			</catgry>
			<catgry>
				<catValu>2331</catValu>
				<labl>RO31 / Sud - Muntenia</labl>
			</catgry>
			<catgry>
				<catValu>2332</catValu>
				<labl>RO32 / Bucuresti - Ilfov</labl>
			</catgry>
			<catgry>
				<catValu>2341</catValu>
				<labl>RO41 / Sud-Vest Oltenia</labl>
			</catgry>
			<catgry>
				<catValu>2342</catValu>
				<labl>RO42 / Vest</labl>
			</catgry>
			<catgry>
				<catValu>2501</catValu>
				<labl>SI01 / Vzhodna Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>2502</catValu>
				<labl>SI02 / Zahodna Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>2599</catValu>
				<labl>SI / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>2601</catValu>
				<labl>SK01 / Bratislavský kraj</labl>
			</catgry>
			<catgry>
				<catValu>2602</catValu>
				<labl>SK02 / Západné Slovensko</labl>
			</catgry>
			<catgry>
				<catValu>2603</catValu>
				<labl>SK03 / Stredné Slovensko</labl>
			</catgry>
			<catgry>
				<catValu>2604</catValu>
				<labl>SK04 / Východné Slovensko</labl>
			</catgry>
			<catgry>
				<catValu>3401</catValu>
				<labl>CH01 / Région Lémanique</labl>
			</catgry>
			<catgry>
				<catValu>3402</catValu>
				<labl>CH02 / Espace Mittelland</labl>
			</catgry>
			<catgry>
				<catValu>3403</catValu>
				<labl>CH03 / Nordwestschweiz</labl>
			</catgry>
			<catgry>
				<catValu>3404</catValu>
				<labl>CH04 / Zurich</labl>
			</catgry>
			<catgry>
				<catValu>3405</catValu>
				<labl>CH05 / Ostschweiz</labl>
			</catgry>
			<catgry>
				<catValu>3406</catValu>
				<labl>CH06 / Zentralschweiz</labl>
			</catgry>
			<catgry>
				<catValu>3407</catValu>
				<labl>CH07 / Ticino</labl>
			</catgry>
			<catgry>
				<catValu>3910</catValu>
				<labl>TR10 / Istanbul</labl>
			</catgry>
			<catgry>
				<catValu>3921</catValu>
				<labl>TR21 / Tekirdag, Edirne, Kirklareli</labl>
			</catgry>
			<catgry>
				<catValu>3922</catValu>
				<labl>TR22 / Balikesir, Çanakkale</labl>
			</catgry>
			<catgry>
				<catValu>3931</catValu>
				<labl>TR31 / Izmir</labl>
			</catgry>
			<catgry>
				<catValu>3932</catValu>
				<labl>TR32 / Aydin, Denizli, Mugla</labl>
			</catgry>
			<catgry>
				<catValu>3933</catValu>
				<labl>TR33 / Manisa, Afyonkarahisar, Kütahya, Usak</labl>
			</catgry>
			<catgry>
				<catValu>3941</catValu>
				<labl>TR41 / Bursa, Eskisehir, Bilecik</labl>
			</catgry>
			<catgry>
				<catValu>3942</catValu>
				<labl>TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova</labl>
			</catgry>
			<catgry>
				<catValu>3951</catValu>
				<labl>TR51 / Ankara</labl>
			</catgry>
			<catgry>
				<catValu>3952</catValu>
				<labl>TR52 / Konya, Karaman</labl>
			</catgry>
			<catgry>
				<catValu>3961</catValu>
				<labl>TR61 / Antalya, Isparta, Burdur</labl>
			</catgry>
			<catgry>
				<catValu>3962</catValu>
				<labl>TR62 / Adana, Mersin</labl>
			</catgry>
			<catgry>
				<catValu>3963</catValu>
				<labl>TR63 / Hatay, Kahramanmaras, Osmaniye</labl>
			</catgry>
			<catgry>
				<catValu>3971</catValu>
				<labl>TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir</labl>
			</catgry>
			<catgry>
				<catValu>3972</catValu>
				<labl>TR72 / Kayseri, Sivas, Yozgat</labl>
			</catgry>
			<catgry>
				<catValu>3981</catValu>
				<labl>TR81 / Zonguldak, Karabük, Bartin</labl>
			</catgry>
			<catgry>
				<catValu>3982</catValu>
				<labl>TR82 / Kastamonu, Çankiri, Sinop</labl>
			</catgry>
			<catgry>
				<catValu>3983</catValu>
				<labl>TR83 / Samsun, Tokat, Çorum, Amasya</labl>
			</catgry>
			<catgry>
				<catValu>3990</catValu>
				<labl>TR90 / Trabzon</labl>
			</catgry>
			<catgry>
				<catValu>3991</catValu>
				<labl>TRA1 / Erzurum, Erzincan, Bayburt</labl>
			</catgry>
			<catgry>
				<catValu>3992</catValu>
				<labl>TRA2 / Agri, Kars, Igdir, Ardahan</labl>
			</catgry>
			<catgry>
				<catValu>3993</catValu>
				<labl>TRB1 / Malatya, Elazig, Bingöl, Tunceli</labl>
			</catgry>
			<catgry>
				<catValu>3994</catValu>
				<labl>TRB2 / Van, Mus, Bitlis, Hakkari</labl>
			</catgry>
			<catgry>
				<catValu>3995</catValu>
				<labl>TRC1 / Gaziantep, Adiyaman, Kilis</labl>
			</catgry>
			<catgry>
				<catValu>3996</catValu>
				<labl>TRC2 / Sanliurfa, Diyarbakir</labl>
			</catgry>
			<catgry>
				<catValu>3997</catValu>
				<labl>TRC3 / Mardin, Batman, Sirnak, Siirt</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ENUTS3" dcml="0" files="H" intrvl="discrete" name="ENUTS3">
			<location EndPos="76" StartPos="72" width="5"></location>
			<labl>Nomenclature of Territorial Units for Statistics 3, Europe</labl>
			<txt>ENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.

ENUTS3 corresponds to the 2010 version of NUTS3 released by Eurostat.

The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.

The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<catgry>
				<catValu>01111</catValu>
				<labl>AT111 / Mittelburgenland + AT113 / Südburgenland</labl>
			</catgry>
			<catgry>
				<catValu>01112</catValu>
				<labl>AT112 / Nordburgenland</labl>
			</catgry>
			<catgry>
				<catValu>01121</catValu>
				<labl>AT121 / Mostviertel-Eisenwurzen</labl>
			</catgry>
			<catgry>
				<catValu>01122</catValu>
				<labl>AT122 / Niederösterreich-Süd</labl>
			</catgry>
			<catgry>
				<catValu>01123</catValu>
				<labl>AT123 / Sankt Pölten</labl>
			</catgry>
			<catgry>
				<catValu>01124</catValu>
				<labl>AT124 / Waldviertel</labl>
			</catgry>
			<catgry>
				<catValu>01125</catValu>
				<labl>AT125 / Weinviertel</labl>
			</catgry>
			<catgry>
				<catValu>01126</catValu>
				<labl>AT126 / Wiener Umland/Nordteil</labl>
			</catgry>
			<catgry>
				<catValu>01127</catValu>
				<labl>AT127 / Wiener Umland/Südteil</labl>
			</catgry>
			<catgry>
				<catValu>01130</catValu>
				<labl>AT130 / Wien</labl>
			</catgry>
			<catgry>
				<catValu>01211</catValu>
				<labl>AT211 / Klagenfurt-Villach</labl>
			</catgry>
			<catgry>
				<catValu>01212</catValu>
				<labl>AT212 / Oberkärnten</labl>
			</catgry>
			<catgry>
				<catValu>01213</catValu>
				<labl>AT213 / Unterkärnten</labl>
			</catgry>
			<catgry>
				<catValu>01221</catValu>
				<labl>AT221 / Graz</labl>
			</catgry>
			<catgry>
				<catValu>01222</catValu>
				<labl>AT222 / Liezen</labl>
			</catgry>
			<catgry>
				<catValu>01223</catValu>
				<labl>AT223 / Östliche Obersteiermark</labl>
			</catgry>
			<catgry>
				<catValu>01224</catValu>
				<labl>AT224 / Oststeiermark</labl>
			</catgry>
			<catgry>
				<catValu>01225</catValu>
				<labl>AT225 / West- und Südsteiermark</labl>
			</catgry>
			<catgry>
				<catValu>01226</catValu>
				<labl>AT226 / Westliche Obersteiermark</labl>
			</catgry>
			<catgry>
				<catValu>01311</catValu>
				<labl>AT311 / Innviertel</labl>
			</catgry>
			<catgry>
				<catValu>01312</catValu>
				<labl>AT312 /  Linz-Wels</labl>
			</catgry>
			<catgry>
				<catValu>01313</catValu>
				<labl>AT313 / Mühlviertel</labl>
			</catgry>
			<catgry>
				<catValu>01314</catValu>
				<labl>AT314 / Steyr-Kirchdorf</labl>
			</catgry>
			<catgry>
				<catValu>01315</catValu>
				<labl>AT315 / Traunviertel</labl>
			</catgry>
			<catgry>
				<catValu>01321</catValu>
				<labl>AT321 / Lungau + AT322 / Pinzgau-Pongau</labl>
			</catgry>
			<catgry>
				<catValu>01323</catValu>
				<labl>AT323 / Salzburg und Umgebung</labl>
			</catgry>
			<catgry>
				<catValu>01331</catValu>
				<labl>AT331 / Außerfern + AT334 / Tiroler Oberland</labl>
			</catgry>
			<catgry>
				<catValu>01332</catValu>
				<labl>AT332 / Innsbruck</labl>
			</catgry>
			<catgry>
				<catValu>01333</catValu>
				<labl>AT333 / Osttirol + AT335 / Tiroler Unterland</labl>
			</catgry>
			<catgry>
				<catValu>01341</catValu>
				<labl>AT341 / Bludenz-Bregenzer Wald</labl>
			</catgry>
			<catgry>
				<catValu>01342</catValu>
				<labl>AT342 / Rheintal-Bodenseegebiet</labl>
			</catgry>
			<catgry>
				<catValu>09111</catValu>
				<labl>ES111 / A Coruña</labl>
			</catgry>
			<catgry>
				<catValu>09112</catValu>
				<labl>ES112 / Lugo</labl>
			</catgry>
			<catgry>
				<catValu>09113</catValu>
				<labl>ES113 / Ourense</labl>
			</catgry>
			<catgry>
				<catValu>09114</catValu>
				<labl>ES114 / Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>09120</catValu>
				<labl>ES120 / Asturias</labl>
			</catgry>
			<catgry>
				<catValu>09130</catValu>
				<labl>ES130 / Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>09211</catValu>
				<labl>ES211 / Álava</labl>
			</catgry>
			<catgry>
				<catValu>09212</catValu>
				<labl>ES212 / Guipúzcoa</labl>
			</catgry>
			<catgry>
				<catValu>09213</catValu>
				<labl>ES213 / Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>09220</catValu>
				<labl>ES220 / Navarra</labl>
			</catgry>
			<catgry>
				<catValu>09230</catValu>
				<labl>ES230 / La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>09241</catValu>
				<labl>ES241 / Huesca</labl>
			</catgry>
			<catgry>
				<catValu>09242</catValu>
				<labl>ES242 / Teruel</labl>
			</catgry>
			<catgry>
				<catValu>09243</catValu>
				<labl>ES243 / Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>09300</catValu>
				<labl>ES300 / Madrid</labl>
			</catgry>
			<catgry>
				<catValu>09411</catValu>
				<labl>ES411 / Ávila</labl>
			</catgry>
			<catgry>
				<catValu>09412</catValu>
				<labl>ES412 / Burgos</labl>
			</catgry>
			<catgry>
				<catValu>09413</catValu>
				<labl>ES413 / León</labl>
			</catgry>
			<catgry>
				<catValu>09414</catValu>
				<labl>ES414 / Palencia</labl>
			</catgry>
			<catgry>
				<catValu>09415</catValu>
				<labl>ES415 / Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>09416</catValu>
				<labl>ES416 / Segovia</labl>
			</catgry>
			<catgry>
				<catValu>09417</catValu>
				<labl>ES417 / Soria</labl>
			</catgry>
			<catgry>
				<catValu>09418</catValu>
				<labl>ES418 / Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>09419</catValu>
				<labl>ES419 / Zamora</labl>
			</catgry>
			<catgry>
				<catValu>09421</catValu>
				<labl>ES421 / Albacete</labl>
			</catgry>
			<catgry>
				<catValu>09422</catValu>
				<labl>ES422 / Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>09423</catValu>
				<labl>ES423 / Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>09424</catValu>
				<labl>ES424 / Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>09425</catValu>
				<labl>ES425 / Toledo</labl>
			</catgry>
			<catgry>
				<catValu>09431</catValu>
				<labl>ES431 / Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>09432</catValu>
				<labl>ES432 / Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>09511</catValu>
				<labl>ES511 / Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>09512</catValu>
				<labl>ES512 / Girona</labl>
			</catgry>
			<catgry>
				<catValu>09513</catValu>
				<labl>ES513 / Lleida</labl>
			</catgry>
			<catgry>
				<catValu>09514</catValu>
				<labl>ES514 / Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>09521</catValu>
				<labl>ES521 / Alicante/Alacant</labl>
			</catgry>
			<catgry>
				<catValu>09522</catValu>
				<labl>ES522 / Castellón/Castelló</labl>
			</catgry>
			<catgry>
				<catValu>09523</catValu>
				<labl>ES523 / Valencia/València</labl>
			</catgry>
			<catgry>
				<catValu>09532</catValu>
				<labl>ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera</labl>
			</catgry>
			<catgry>
				<catValu>09611</catValu>
				<labl>ES611 / Almería</labl>
			</catgry>
			<catgry>
				<catValu>09612</catValu>
				<labl>ES612 / Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>09613</catValu>
				<labl>ES613 / Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>09614</catValu>
				<labl>ES614 / Granada</labl>
			</catgry>
			<catgry>
				<catValu>09615</catValu>
				<labl>ES615 / Huelva</labl>
			</catgry>
			<catgry>
				<catValu>09616</catValu>
				<labl>ES616 / Jaén</labl>
			</catgry>
			<catgry>
				<catValu>09617</catValu>
				<labl>ES617 / Málaga</labl>
			</catgry>
			<catgry>
				<catValu>09618</catValu>
				<labl>ES618 / Sevilla</labl>
			</catgry>
			<catgry>
				<catValu>09620</catValu>
				<labl>ES620 / Murcia</labl>
			</catgry>
			<catgry>
				<catValu>09630</catValu>
				<labl>ES630 / Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>09640</catValu>
				<labl>ES640 / Melilla</labl>
			</catgry>
			<catgry>
				<catValu>09705</catValu>
				<labl>ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote</labl>
			</catgry>
			<catgry>
				<catValu>09709</catValu>
				<labl>ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro</labl>
			</catgry>
			<catgry>
				<catValu>09999</catValu>
				<labl>ES / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>12111</catValu>
				<labl>EL111 / Evros</labl>
			</catgry>
			<catgry>
				<catValu>12112</catValu>
				<labl>EL112 / Xanthi</labl>
			</catgry>
			<catgry>
				<catValu>12113</catValu>
				<labl>EL113 / Rodopi</labl>
			</catgry>
			<catgry>
				<catValu>12114</catValu>
				<labl>EL114 / Drama</labl>
			</catgry>
			<catgry>
				<catValu>12115</catValu>
				<labl>EL115 / Kavala</labl>
			</catgry>
			<catgry>
				<catValu>12121</catValu>
				<labl>EL121 / Imathia</labl>
			</catgry>
			<catgry>
				<catValu>12122</catValu>
				<labl>EL122 / Thessaloniki</labl>
			</catgry>
			<catgry>
				<catValu>12123</catValu>
				<labl>EL123 / Kilkis</labl>
			</catgry>
			<catgry>
				<catValu>12124</catValu>
				<labl>EL124 / Pella</labl>
			</catgry>
			<catgry>
				<catValu>12125</catValu>
				<labl>EL125 / Pieria</labl>
			</catgry>
			<catgry>
				<catValu>12126</catValu>
				<labl>EL126 / Serres</labl>
			</catgry>
			<catgry>
				<catValu>12127</catValu>
				<labl>EL127 / Chalkidiki and Aghion Oros</labl>
			</catgry>
			<catgry>
				<catValu>12131</catValu>
				<labl>EL131 / Grevena</labl>
			</catgry>
			<catgry>
				<catValu>12132</catValu>
				<labl>EL132 / Kastoria</labl>
			</catgry>
			<catgry>
				<catValu>12133</catValu>
				<labl>EL133 / Kozani</labl>
			</catgry>
			<catgry>
				<catValu>12134</catValu>
				<labl>EL134 / Florina</labl>
			</catgry>
			<catgry>
				<catValu>12141</catValu>
				<labl>EL141 / Karditsa</labl>
			</catgry>
			<catgry>
				<catValu>12142</catValu>
				<labl>EL142 / Larisa</labl>
			</catgry>
			<catgry>
				<catValu>12143</catValu>
				<labl>EL143 / Magnisia</labl>
			</catgry>
			<catgry>
				<catValu>12144</catValu>
				<labl>EL144 / Trikala</labl>
			</catgry>
			<catgry>
				<catValu>12211</catValu>
				<labl>EL211 / Arta</labl>
			</catgry>
			<catgry>
				<catValu>12212</catValu>
				<labl>EL212 / Thesprotia</labl>
			</catgry>
			<catgry>
				<catValu>12213</catValu>
				<labl>EL213 / Ioannina</labl>
			</catgry>
			<catgry>
				<catValu>12214</catValu>
				<labl>EL214 / Preveza</labl>
			</catgry>
			<catgry>
				<catValu>12221</catValu>
				<labl>EL221 / Zakynthos</labl>
			</catgry>
			<catgry>
				<catValu>12222</catValu>
				<labl>EL222 / Kerkyra</labl>
			</catgry>
			<catgry>
				<catValu>12223</catValu>
				<labl>EL223 / Kefallinia</labl>
			</catgry>
			<catgry>
				<catValu>12224</catValu>
				<labl>EL224 / Lefkada</labl>
			</catgry>
			<catgry>
				<catValu>12231</catValu>
				<labl>EL231 / Aitoloakarnania</labl>
			</catgry>
			<catgry>
				<catValu>12232</catValu>
				<labl>EL232 / Achaia</labl>
			</catgry>
			<catgry>
				<catValu>12233</catValu>
				<labl>EL233 / Ilia</labl>
			</catgry>
			<catgry>
				<catValu>12241</catValu>
				<labl>EL241 / Voiotia</labl>
			</catgry>
			<catgry>
				<catValu>12242</catValu>
				<labl>EL242 / Evvoia</labl>
			</catgry>
			<catgry>
				<catValu>12243</catValu>
				<labl>EL243 / Evrytania</labl>
			</catgry>
			<catgry>
				<catValu>12244</catValu>
				<labl>EL244 / Fthiotida</labl>
			</catgry>
			<catgry>
				<catValu>12245</catValu>
				<labl>EL245 / Fokida</labl>
			</catgry>
			<catgry>
				<catValu>12251</catValu>
				<labl>EL251 / Argolida</labl>
			</catgry>
			<catgry>
				<catValu>12252</catValu>
				<labl>EL252 / Arkadia</labl>
			</catgry>
			<catgry>
				<catValu>12253</catValu>
				<labl>EL253 / Korinthia</labl>
			</catgry>
			<catgry>
				<catValu>12254</catValu>
				<labl>EL254 / Lakonia</labl>
			</catgry>
			<catgry>
				<catValu>12255</catValu>
				<labl>EL255 / Messinia</labl>
			</catgry>
			<catgry>
				<catValu>12300</catValu>
				<labl>EL300 / Attiki</labl>
			</catgry>
			<catgry>
				<catValu>12411</catValu>
				<labl>EL411 / Lesvos</labl>
			</catgry>
			<catgry>
				<catValu>12412</catValu>
				<labl>EL412 / Samos</labl>
			</catgry>
			<catgry>
				<catValu>12413</catValu>
				<labl>EL413 / Chios</labl>
			</catgry>
			<catgry>
				<catValu>12421</catValu>
				<labl>EL421 / Dodekanissos</labl>
			</catgry>
			<catgry>
				<catValu>12422</catValu>
				<labl>EL422 / Kyklades</labl>
			</catgry>
			<catgry>
				<catValu>12431</catValu>
				<labl>EL431 / Iraklio</labl>
			</catgry>
			<catgry>
				<catValu>12432</catValu>
				<labl>EL432 / Lasithi</labl>
			</catgry>
			<catgry>
				<catValu>12433</catValu>
				<labl>EL433 / Rethymni</labl>
			</catgry>
			<catgry>
				<catValu>12434</catValu>
				<labl>EL434 / Chania</labl>
			</catgry>
			<catgry>
				<catValu>14011</catValu>
				<labl>IE011 / Border</labl>
			</catgry>
			<catgry>
				<catValu>14012</catValu>
				<labl>IE012 / Midlands</labl>
			</catgry>
			<catgry>
				<catValu>14013</catValu>
				<labl>IE013 / West</labl>
			</catgry>
			<catgry>
				<catValu>14021</catValu>
				<labl>IE021 / Dublin</labl>
			</catgry>
			<catgry>
				<catValu>14022</catValu>
				<labl>IE022 / Mid-East</labl>
			</catgry>
			<catgry>
				<catValu>14023</catValu>
				<labl>IE023 / Mid-West</labl>
			</catgry>
			<catgry>
				<catValu>14024</catValu>
				<labl>IE024 / South-East</labl>
			</catgry>
			<catgry>
				<catValu>14025</catValu>
				<labl>IE025 / South-West</labl>
			</catgry>
			<catgry>
				<catValu>15311</catValu>
				<labl>ITC11 / Torino</labl>
			</catgry>
			<catgry>
				<catValu>15312</catValu>
				<labl>ITC12 / Vercelli</labl>
			</catgry>
			<catgry>
				<catValu>15313</catValu>
				<labl>ITC13 / Biella</labl>
			</catgry>
			<catgry>
				<catValu>15314</catValu>
				<labl>ITC14 / Verbano-Cusio-Ossola</labl>
			</catgry>
			<catgry>
				<catValu>15315</catValu>
				<labl>ITC15 / Novara</labl>
			</catgry>
			<catgry>
				<catValu>15316</catValu>
				<labl>ITC16 / Cuneo</labl>
			</catgry>
			<catgry>
				<catValu>15317</catValu>
				<labl>ITC17 / Asti</labl>
			</catgry>
			<catgry>
				<catValu>15318</catValu>
				<labl>ITC18 / Alessandria</labl>
			</catgry>
			<catgry>
				<catValu>15320</catValu>
				<labl>ITC20 / Aosta</labl>
			</catgry>
			<catgry>
				<catValu>15331</catValu>
				<labl>ITC31 / Imperia</labl>
			</catgry>
			<catgry>
				<catValu>15332</catValu>
				<labl>ITC32 / Savona</labl>
			</catgry>
			<catgry>
				<catValu>15333</catValu>
				<labl>ITC33 / Genova</labl>
			</catgry>
			<catgry>
				<catValu>15334</catValu>
				<labl>ITC34 / La Spezia</labl>
			</catgry>
			<catgry>
				<catValu>15341</catValu>
				<labl>ITC41 / Varese</labl>
			</catgry>
			<catgry>
				<catValu>15342</catValu>
				<labl>ITC42 / Como</labl>
			</catgry>
			<catgry>
				<catValu>15343</catValu>
				<labl>ITC43 / Lecco</labl>
			</catgry>
			<catgry>
				<catValu>15344</catValu>
				<labl>ITC44 / Sondrio</labl>
			</catgry>
			<catgry>
				<catValu>15346</catValu>
				<labl>ITC46 / Bergamo</labl>
			</catgry>
			<catgry>
				<catValu>15347</catValu>
				<labl>ITC47 / Brescia</labl>
			</catgry>
			<catgry>
				<catValu>15348</catValu>
				<labl>ITC48 / Pavia</labl>
			</catgry>
			<catgry>
				<catValu>15349</catValu>
				<labl>ITC49 / Lodi</labl>
			</catgry>
			<catgry>
				<catValu>15350</catValu>
				<labl>ITC4A / Cremona</labl>
			</catgry>
			<catgry>
				<catValu>15351</catValu>
				<labl>ITC4B / Mantova</labl>
			</catgry>
			<catgry>
				<catValu>15352</catValu>
				<labl>ITC4C / Milano</labl>
			</catgry>
			<catgry>
				<catValu>15353</catValu>
				<labl>ITC4D / Monza e della Brianza</labl>
			</catgry>
			<catgry>
				<catValu>15611</catValu>
				<labl>ITF11 / L'Aquila</labl>
			</catgry>
			<catgry>
				<catValu>15612</catValu>
				<labl>ITF12 / Teramo</labl>
			</catgry>
			<catgry>
				<catValu>15613</catValu>
				<labl>ITF13 / Pescara</labl>
			</catgry>
			<catgry>
				<catValu>15614</catValu>
				<labl>ITF14 / Chieti</labl>
			</catgry>
			<catgry>
				<catValu>15621</catValu>
				<labl>ITF21 / Isernia</labl>
			</catgry>
			<catgry>
				<catValu>15622</catValu>
				<labl>ITF22 / Campobasso</labl>
			</catgry>
			<catgry>
				<catValu>15631</catValu>
				<labl>ITF31 / Caserta</labl>
			</catgry>
			<catgry>
				<catValu>15632</catValu>
				<labl>ITF32 / Benevento</labl>
			</catgry>
			<catgry>
				<catValu>15633</catValu>
				<labl>ITF33 / Napoli</labl>
			</catgry>
			<catgry>
				<catValu>15634</catValu>
				<labl>ITF34 / Avellino</labl>
			</catgry>
			<catgry>
				<catValu>15635</catValu>
				<labl>ITF35 / Salerno</labl>
			</catgry>
			<catgry>
				<catValu>15643</catValu>
				<labl>ITF43 / Taranto</labl>
			</catgry>
			<catgry>
				<catValu>15644</catValu>
				<labl>ITF44 / Brindisi</labl>
			</catgry>
			<catgry>
				<catValu>15645</catValu>
				<labl>ITF45 / Lecce</labl>
			</catgry>
			<catgry>
				<catValu>15646</catValu>
				<labl>ITF46 / Foggia</labl>
			</catgry>
			<catgry>
				<catValu>15647</catValu>
				<labl>ITF47 / Bari</labl>
			</catgry>
			<catgry>
				<catValu>15648</catValu>
				<labl>ITF48 / Barletta-Andria-Trani</labl>
			</catgry>
			<catgry>
				<catValu>15651</catValu>
				<labl>ITF51 / Potenza</labl>
			</catgry>
			<catgry>
				<catValu>15652</catValu>
				<labl>ITF52 / Matera</labl>
			</catgry>
			<catgry>
				<catValu>15661</catValu>
				<labl>ITF61 / Cosenza</labl>
			</catgry>
			<catgry>
				<catValu>15662</catValu>
				<labl>ITF62 / Crotone</labl>
			</catgry>
			<catgry>
				<catValu>15663</catValu>
				<labl>ITF63 / Catanzaro</labl>
			</catgry>
			<catgry>
				<catValu>15664</catValu>
				<labl>ITF64 / Vibo Valentia</labl>
			</catgry>
			<catgry>
				<catValu>15665</catValu>
				<labl>ITF65 / Reggio di Calabria</labl>
			</catgry>
			<catgry>
				<catValu>15711</catValu>
				<labl>ITG11 / Trapani</labl>
			</catgry>
			<catgry>
				<catValu>15712</catValu>
				<labl>ITG12 / Palermo</labl>
			</catgry>
			<catgry>
				<catValu>15713</catValu>
				<labl>ITG13 / Messina</labl>
			</catgry>
			<catgry>
				<catValu>15714</catValu>
				<labl>ITG14 / Agrigento</labl>
			</catgry>
			<catgry>
				<catValu>15715</catValu>
				<labl>ITG15 / Caltanissetta</labl>
			</catgry>
			<catgry>
				<catValu>15716</catValu>
				<labl>ITG16 / Enna</labl>
			</catgry>
			<catgry>
				<catValu>15717</catValu>
				<labl>ITG17 / Catania</labl>
			</catgry>
			<catgry>
				<catValu>15718</catValu>
				<labl>ITG18 / Ragusa</labl>
			</catgry>
			<catgry>
				<catValu>15719</catValu>
				<labl>ITG19 / Siracusa</labl>
			</catgry>
			<catgry>
				<catValu>15733</catValu>
				<labl>Sud Sardegna</labl>
			</catgry>
			<catgry>
				<catValu>15725</catValu>
				<labl>ITG25 / Sassari</labl>
			</catgry>
			<catgry>
				<catValu>15726</catValu>
				<labl>ITG26 / Nuoro</labl>
			</catgry>
			<catgry>
				<catValu>15727</catValu>
				<labl>ITG27 / Cagliari</labl>
			</catgry>
			<catgry>
				<catValu>15728</catValu>
				<labl>ITG28 / Oristano</labl>
			</catgry>
			<catgry>
				<catValu>15729</catValu>
				<labl>ITG29 / Olbia-tempio</labl>
			</catgry>
			<catgry>
				<catValu>15730</catValu>
				<labl>ITG2A / Ogliastra</labl>
			</catgry>
			<catgry>
				<catValu>15731</catValu>
				<labl>ITG2B /  Medio-campidano</labl>
			</catgry>
			<catgry>
				<catValu>15732</catValu>
				<labl>ITG2C / Carbonia-Iglesias</labl>
			</catgry>
			<catgry>
				<catValu>15810</catValu>
				<labl>ITH10 / Bolzano-Bozen</labl>
			</catgry>
			<catgry>
				<catValu>15820</catValu>
				<labl>ITH20 / Trento</labl>
			</catgry>
			<catgry>
				<catValu>15831</catValu>
				<labl>ITH31 / Verona</labl>
			</catgry>
			<catgry>
				<catValu>15832</catValu>
				<labl>ITH32 / Vicenza</labl>
			</catgry>
			<catgry>
				<catValu>15833</catValu>
				<labl>ITH33 / Belluno</labl>
			</catgry>
			<catgry>
				<catValu>15834</catValu>
				<labl>ITH34 / Treviso</labl>
			</catgry>
			<catgry>
				<catValu>15835</catValu>
				<labl>ITH35 / Venezia</labl>
			</catgry>
			<catgry>
				<catValu>15836</catValu>
				<labl>ITH36 / Padova</labl>
			</catgry>
			<catgry>
				<catValu>15837</catValu>
				<labl>ITH37 / Rovigo</labl>
			</catgry>
			<catgry>
				<catValu>15841</catValu>
				<labl>ITH41 / Pordenone</labl>
			</catgry>
			<catgry>
				<catValu>15842</catValu>
				<labl>ITH42 / Udine</labl>
			</catgry>
			<catgry>
				<catValu>15843</catValu>
				<labl>ITH43 / Gorizia</labl>
			</catgry>
			<catgry>
				<catValu>15844</catValu>
				<labl>ITH44 / Trieste</labl>
			</catgry>
			<catgry>
				<catValu>15851</catValu>
				<labl>ITH51 / Piacenza</labl>
			</catgry>
			<catgry>
				<catValu>15852</catValu>
				<labl>ITH52 / Parma</labl>
			</catgry>
			<catgry>
				<catValu>15853</catValu>
				<labl>ITH53 / Reggio nell'Emilia</labl>
			</catgry>
			<catgry>
				<catValu>15854</catValu>
				<labl>ITH54 / Modena</labl>
			</catgry>
			<catgry>
				<catValu>15855</catValu>
				<labl>ITH55 / Bologna</labl>
			</catgry>
			<catgry>
				<catValu>15856</catValu>
				<labl>ITH56 / Ferrara</labl>
			</catgry>
			<catgry>
				<catValu>15857</catValu>
				<labl>ITH57 / Ravenna</labl>
			</catgry>
			<catgry>
				<catValu>15858</catValu>
				<labl>ITH58 / Forlì-Cesena</labl>
			</catgry>
			<catgry>
				<catValu>15859</catValu>
				<labl>ITH59 / Rimini</labl>
			</catgry>
			<catgry>
				<catValu>15911</catValu>
				<labl>ITI11 / Massa-Carrara</labl>
			</catgry>
			<catgry>
				<catValu>15912</catValu>
				<labl>ITI12 / Lucca</labl>
			</catgry>
			<catgry>
				<catValu>15913</catValu>
				<labl>ITI13 / Pistoia</labl>
			</catgry>
			<catgry>
				<catValu>15914</catValu>
				<labl>ITI14 / Firenze</labl>
			</catgry>
			<catgry>
				<catValu>15915</catValu>
				<labl>ITI15 / Prato</labl>
			</catgry>
			<catgry>
				<catValu>15916</catValu>
				<labl>ITI16 / Livorno</labl>
			</catgry>
			<catgry>
				<catValu>15917</catValu>
				<labl>ITI17 / Pisa</labl>
			</catgry>
			<catgry>
				<catValu>15918</catValu>
				<labl>ITI18 / Arezzo</labl>
			</catgry>
			<catgry>
				<catValu>15919</catValu>
				<labl>ITI19 / Siena</labl>
			</catgry>
			<catgry>
				<catValu>15920</catValu>
				<labl>ITI1A / ELosseto</labl>
			</catgry>
			<catgry>
				<catValu>15921</catValu>
				<labl>ITI21 / Perugia</labl>
			</catgry>
			<catgry>
				<catValu>15922</catValu>
				<labl>ITI22 / Terni</labl>
			</catgry>
			<catgry>
				<catValu>15931</catValu>
				<labl>ITI31 / Pesaro e Urbino</labl>
			</catgry>
			<catgry>
				<catValu>15932</catValu>
				<labl>ITI32 / Ancona</labl>
			</catgry>
			<catgry>
				<catValu>15933</catValu>
				<labl>ITI33 / Macerata</labl>
			</catgry>
			<catgry>
				<catValu>15934</catValu>
				<labl>ITI34 / Ascoli Piceno</labl>
			</catgry>
			<catgry>
				<catValu>15935</catValu>
				<labl>ITI35 / Fermo</labl>
			</catgry>
			<catgry>
				<catValu>15941</catValu>
				<labl>ITI41 / Viterbo</labl>
			</catgry>
			<catgry>
				<catValu>15942</catValu>
				<labl>ITI42 / Rieti</labl>
			</catgry>
			<catgry>
				<catValu>15943</catValu>
				<labl>ITI43 / Roma</labl>
			</catgry>
			<catgry>
				<catValu>15944</catValu>
				<labl>ITI44 / Latina</labl>
			</catgry>
			<catgry>
				<catValu>15945</catValu>
				<labl>ITI45 / Frosinone</labl>
			</catgry>
			<catgry>
				<catValu>22111</catValu>
				<labl>PT111 / Minho-Lima</labl>
			</catgry>
			<catgry>
				<catValu>22112</catValu>
				<labl>PT112 / Cávado</labl>
			</catgry>
			<catgry>
				<catValu>22113</catValu>
				<labl>PT113 / Ave</labl>
			</catgry>
			<catgry>
				<catValu>22114</catValu>
				<labl>PT114 / ELande Porto</labl>
			</catgry>
			<catgry>
				<catValu>22115</catValu>
				<labl>PT115 / Tâmega</labl>
			</catgry>
			<catgry>
				<catValu>22116</catValu>
				<labl>PT116 / Entre Douro e Vouga</labl>
			</catgry>
			<catgry>
				<catValu>22117</catValu>
				<labl>PT117 / Douro</labl>
			</catgry>
			<catgry>
				<catValu>22118</catValu>
				<labl>PT118 / Alto Trás-os-Montes</labl>
			</catgry>
			<catgry>
				<catValu>22150</catValu>
				<labl>PT150 / Algarve</labl>
			</catgry>
			<catgry>
				<catValu>22161</catValu>
				<labl>PT161 / Baixo Vouga</labl>
			</catgry>
			<catgry>
				<catValu>22162</catValu>
				<labl>PT162 / Baixo Mondego</labl>
			</catgry>
			<catgry>
				<catValu>22163</catValu>
				<labl>PT163 / Pinhal Litoral</labl>
			</catgry>
			<catgry>
				<catValu>22165</catValu>
				<labl>PT165 / Dão-Lafões</labl>
			</catgry>
			<catgry>
				<catValu>22166</catValu>
				<labl>PT16B / Oeste</labl>
			</catgry>
			<catgry>
				<catValu>22167</catValu>
				<labl>PT16C / Médio Tejo</labl>
			</catgry>
			<catgry>
				<catValu>22169</catValu>
				<labl>PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira</labl>
			</catgry>
			<catgry>
				<catValu>22171</catValu>
				<labl>PT171 / Grande Lisboa</labl>
			</catgry>
			<catgry>
				<catValu>22172</catValu>
				<labl>PT172 / Península de Setúbal</labl>
			</catgry>
			<catgry>
				<catValu>22185</catValu>
				<labl>PT185 / Lezíria do Tejo</labl>
			</catgry>
			<catgry>
				<catValu>22189</catValu>
				<labl>PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo</labl>
			</catgry>
			<catgry>
				<catValu>22200</catValu>
				<labl>PT200 / Região Autónoma dos Açores</labl>
			</catgry>
			<catgry>
				<catValu>22300</catValu>
				<labl>PT300 / Região Autónoma da Madeira</labl>
			</catgry>
			<catgry>
				<catValu>23111</catValu>
				<labl>RO111 / Bihor</labl>
			</catgry>
			<catgry>
				<catValu>23112</catValu>
				<labl>RO112 / Bistrita Nasaud</labl>
			</catgry>
			<catgry>
				<catValu>23113</catValu>
				<labl>RO113 / Cluj</labl>
			</catgry>
			<catgry>
				<catValu>23114</catValu>
				<labl>RO114 / Maramures</labl>
			</catgry>
			<catgry>
				<catValu>23115</catValu>
				<labl>RO115 / Satu Mare</labl>
			</catgry>
			<catgry>
				<catValu>23116</catValu>
				<labl>RO116 / Salaj</labl>
			</catgry>
			<catgry>
				<catValu>23121</catValu>
				<labl>RO121 / Alba</labl>
			</catgry>
			<catgry>
				<catValu>23122</catValu>
				<labl>RO122 / Brasov</labl>
			</catgry>
			<catgry>
				<catValu>23123</catValu>
				<labl>RO123 / Covasna</labl>
			</catgry>
			<catgry>
				<catValu>23124</catValu>
				<labl>RO124 / Harghita</labl>
			</catgry>
			<catgry>
				<catValu>23125</catValu>
				<labl>RO125 / Mures</labl>
			</catgry>
			<catgry>
				<catValu>23126</catValu>
				<labl>RO126 / Sibiu</labl>
			</catgry>
			<catgry>
				<catValu>23211</catValu>
				<labl>RO211 / Bacau</labl>
			</catgry>
			<catgry>
				<catValu>23212</catValu>
				<labl>RO212 / Botosani</labl>
			</catgry>
			<catgry>
				<catValu>23213</catValu>
				<labl>RO213 / Iasi</labl>
			</catgry>
			<catgry>
				<catValu>23214</catValu>
				<labl>RO214 / Neamt</labl>
			</catgry>
			<catgry>
				<catValu>23215</catValu>
				<labl>RO215 / Suceava</labl>
			</catgry>
			<catgry>
				<catValu>23216</catValu>
				<labl>RO216 / Vaslui</labl>
			</catgry>
			<catgry>
				<catValu>23221</catValu>
				<labl>RO221 / Braila</labl>
			</catgry>
			<catgry>
				<catValu>23222</catValu>
				<labl>RO222 / Buzau</labl>
			</catgry>
			<catgry>
				<catValu>23223</catValu>
				<labl>RO223 / Constanta</labl>
			</catgry>
			<catgry>
				<catValu>23224</catValu>
				<labl>RO224 / Galati</labl>
			</catgry>
			<catgry>
				<catValu>23225</catValu>
				<labl>RO225 / Tulcea</labl>
			</catgry>
			<catgry>
				<catValu>23226</catValu>
				<labl>RO226 / Vrancea</labl>
			</catgry>
			<catgry>
				<catValu>23311</catValu>
				<labl>RO311 / Arges</labl>
			</catgry>
			<catgry>
				<catValu>23312</catValu>
				<labl>RO312 / Calarasi</labl>
			</catgry>
			<catgry>
				<catValu>23313</catValu>
				<labl>RO313 / Dimbovita</labl>
			</catgry>
			<catgry>
				<catValu>23314</catValu>
				<labl>RO314 / Giurgiu</labl>
			</catgry>
			<catgry>
				<catValu>23315</catValu>
				<labl>RO315 / Ialomita</labl>
			</catgry>
			<catgry>
				<catValu>23316</catValu>
				<labl>RO316 / Prahova</labl>
			</catgry>
			<catgry>
				<catValu>23317</catValu>
				<labl>RO317 / Teleorman</labl>
			</catgry>
			<catgry>
				<catValu>23321</catValu>
				<labl>RO321 / Bucuresti</labl>
			</catgry>
			<catgry>
				<catValu>23322</catValu>
				<labl>RO322 / Ilfov</labl>
			</catgry>
			<catgry>
				<catValu>23411</catValu>
				<labl>RO411 / Dolj</labl>
			</catgry>
			<catgry>
				<catValu>23412</catValu>
				<labl>RO412 / Gorj</labl>
			</catgry>
			<catgry>
				<catValu>23413</catValu>
				<labl>RO413 / Mehedinti</labl>
			</catgry>
			<catgry>
				<catValu>23414</catValu>
				<labl>RO414 / Olt</labl>
			</catgry>
			<catgry>
				<catValu>23415</catValu>
				<labl>RO415 / Valcea</labl>
			</catgry>
			<catgry>
				<catValu>23421</catValu>
				<labl>RO421 / Arad</labl>
			</catgry>
			<catgry>
				<catValu>23422</catValu>
				<labl>RO422 / Caras Severin</labl>
			</catgry>
			<catgry>
				<catValu>23423</catValu>
				<labl>RO423 / Hunedoara</labl>
			</catgry>
			<catgry>
				<catValu>23424</catValu>
				<labl>RO424 / Timis</labl>
			</catgry>
			<catgry>
				<catValu>25011</catValu>
				<labl>SI011 / Pomurska</labl>
			</catgry>
			<catgry>
				<catValu>25012</catValu>
				<labl>SI012 / Podravska</labl>
			</catgry>
			<catgry>
				<catValu>25013</catValu>
				<labl>SI013 / Koroka</labl>
			</catgry>
			<catgry>
				<catValu>25014</catValu>
				<labl>SI014 / Savinjska</labl>
			</catgry>
			<catgry>
				<catValu>25015</catValu>
				<labl>SI015 / Zasavska</labl>
			</catgry>
			<catgry>
				<catValu>25016</catValu>
				<labl>SI016 / Spodnjeposavska</labl>
			</catgry>
			<catgry>
				<catValu>25017</catValu>
				<labl>SI017 / Jugovzhodna Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>25018</catValu>
				<labl>SI018 / Notranjsko-kraka</labl>
			</catgry>
			<catgry>
				<catValu>25021</catValu>
				<labl>SI021 / Osrednjeslovenska</labl>
			</catgry>
			<catgry>
				<catValu>25022</catValu>
				<labl>SI022 / Gorenjska</labl>
			</catgry>
			<catgry>
				<catValu>25023</catValu>
				<labl>SI023 / Gorika</labl>
			</catgry>
			<catgry>
				<catValu>25024</catValu>
				<labl>SI024 / Obalno-kraka</labl>
			</catgry>
			<catgry>
				<catValu>25999</catValu>
				<labl>SI / Unknown</labl>
			</catgry>
			<catgry>
				<catValu>26010</catValu>
				<labl>SK010 / Bratislavský kraj</labl>
			</catgry>
			<catgry>
				<catValu>26021</catValu>
				<labl>SK021 / Trnavský kraj</labl>
			</catgry>
			<catgry>
				<catValu>26022</catValu>
				<labl>SK022 / Trenčiansky kraj</labl>
			</catgry>
			<catgry>
				<catValu>26023</catValu>
				<labl>SK023 / Nitriansky kraj</labl>
			</catgry>
			<catgry>
				<catValu>26031</catValu>
				<labl>SK031 / Žilinský kraj</labl>
			</catgry>
			<catgry>
				<catValu>26032</catValu>
				<labl>SK032 / Banskobystrický kraj</labl>
			</catgry>
			<catgry>
				<catValu>26041</catValu>
				<labl>SK041 / Prešovský kraj</labl>
			</catgry>
			<catgry>
				<catValu>26042</catValu>
				<labl>SK042 / Košický kraj</labl>
			</catgry>
			<catgry>
				<catValu>34011</catValu>
				<labl>CH011 / Vaud</labl>
			</catgry>
			<catgry>
				<catValu>34012</catValu>
				<labl>CH012 / Valais</labl>
			</catgry>
			<catgry>
				<catValu>34013</catValu>
				<labl>CH013 / Geneva</labl>
			</catgry>
			<catgry>
				<catValu>34021</catValu>
				<labl>CH021 / Bern</labl>
			</catgry>
			<catgry>
				<catValu>34022</catValu>
				<labl>CH022 / Freiburg</labl>
			</catgry>
			<catgry>
				<catValu>34023</catValu>
				<labl>CH023 / Solothurn</labl>
			</catgry>
			<catgry>
				<catValu>34024</catValu>
				<labl>CH024 / Neuchatel</labl>
			</catgry>
			<catgry>
				<catValu>34025</catValu>
				<labl>CH025 / Jura</labl>
			</catgry>
			<catgry>
				<catValu>34031</catValu>
				<labl>CH031 / Basel-Stadt</labl>
			</catgry>
			<catgry>
				<catValu>34032</catValu>
				<labl>CH032 / Basel-Landschaft</labl>
			</catgry>
			<catgry>
				<catValu>34033</catValu>
				<labl>CH033 / Aargau</labl>
			</catgry>
			<catgry>
				<catValu>34040</catValu>
				<labl>CH040 / Zurich</labl>
			</catgry>
			<catgry>
				<catValu>34051</catValu>
				<labl>CH051 / Glarus</labl>
			</catgry>
			<catgry>
				<catValu>34052</catValu>
				<labl>CH052 / Schaffhausen</labl>
			</catgry>
			<catgry>
				<catValu>34053</catValu>
				<labl>CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden</labl>
			</catgry>
			<catgry>
				<catValu>34055</catValu>
				<labl>CH055 / St. Gallen</labl>
			</catgry>
			<catgry>
				<catValu>34056</catValu>
				<labl>CH056 / Graubundun</labl>
			</catgry>
			<catgry>
				<catValu>34057</catValu>
				<labl>CH057 / Thurgau</labl>
			</catgry>
			<catgry>
				<catValu>34061</catValu>
				<labl>CH061 / Luzern</labl>
			</catgry>
			<catgry>
				<catValu>34062</catValu>
				<labl>CH062 / Uri</labl>
			</catgry>
			<catgry>
				<catValu>34063</catValu>
				<labl>CH063 / Schwyz</labl>
			</catgry>
			<catgry>
				<catValu>34064</catValu>
				<labl>CH064 / Obwalden</labl>
			</catgry>
			<catgry>
				<catValu>34065</catValu>
				<labl>CH065 / Nidwalden</labl>
			</catgry>
			<catgry>
				<catValu>34066</catValu>
				<labl>CH066 / Zug</labl>
			</catgry>
			<catgry>
				<catValu>34070</catValu>
				<labl>CH070 / Ticino</labl>
			</catgry>
			<catgry>
				<catValu>39100</catValu>
				<labl>TR100 / Istanbul</labl>
			</catgry>
			<catgry>
				<catValu>39211</catValu>
				<labl>TR211 / Tekirdag</labl>
			</catgry>
			<catgry>
				<catValu>39212</catValu>
				<labl>TR212 / Edirne</labl>
			</catgry>
			<catgry>
				<catValu>39213</catValu>
				<labl>TR213 / Kirklareli</labl>
			</catgry>
			<catgry>
				<catValu>39221</catValu>
				<labl>TR221 / Balikesir</labl>
			</catgry>
			<catgry>
				<catValu>39222</catValu>
				<labl>TR222 / Çanakkale</labl>
			</catgry>
			<catgry>
				<catValu>39310</catValu>
				<labl>TR310 / Izmir</labl>
			</catgry>
			<catgry>
				<catValu>39321</catValu>
				<labl>TR321 / Aydin</labl>
			</catgry>
			<catgry>
				<catValu>39322</catValu>
				<labl>TR322 / Denizli</labl>
			</catgry>
			<catgry>
				<catValu>39323</catValu>
				<labl>TR323 / Mugla</labl>
			</catgry>
			<catgry>
				<catValu>39331</catValu>
				<labl>TR331 / Manisa</labl>
			</catgry>
			<catgry>
				<catValu>39332</catValu>
				<labl>TR332 / Afyon</labl>
			</catgry>
			<catgry>
				<catValu>39333</catValu>
				<labl>TR333 / Kütahya</labl>
			</catgry>
			<catgry>
				<catValu>39334</catValu>
				<labl>TR334 / Usak</labl>
			</catgry>
			<catgry>
				<catValu>39411</catValu>
				<labl>TR411 / Bursa</labl>
			</catgry>
			<catgry>
				<catValu>39412</catValu>
				<labl>TR412 / Eskisehir</labl>
			</catgry>
			<catgry>
				<catValu>39413</catValu>
				<labl>TR413 / Bilecik</labl>
			</catgry>
			<catgry>
				<catValu>39421</catValu>
				<labl>TR421 / Kocaeli</labl>
			</catgry>
			<catgry>
				<catValu>39422</catValu>
				<labl>TR422 / Sakarya</labl>
			</catgry>
			<catgry>
				<catValu>39423</catValu>
				<labl>TR423 / Düzce</labl>
			</catgry>
			<catgry>
				<catValu>39424</catValu>
				<labl>TR424 / Bolu</labl>
			</catgry>
			<catgry>
				<catValu>39425</catValu>
				<labl>TR425 / Yalova</labl>
			</catgry>
			<catgry>
				<catValu>39510</catValu>
				<labl>TR510 / Ankara</labl>
			</catgry>
			<catgry>
				<catValu>39521</catValu>
				<labl>TR521 / Konya</labl>
			</catgry>
			<catgry>
				<catValu>39522</catValu>
				<labl>TR522 / Karaman</labl>
			</catgry>
			<catgry>
				<catValu>39611</catValu>
				<labl>TR611 / Antalya</labl>
			</catgry>
			<catgry>
				<catValu>39612</catValu>
				<labl>TR612 / Isparta</labl>
			</catgry>
			<catgry>
				<catValu>39613</catValu>
				<labl>TR613 / Burdur</labl>
			</catgry>
			<catgry>
				<catValu>39621</catValu>
				<labl>TR621 / Adana</labl>
			</catgry>
			<catgry>
				<catValu>39622</catValu>
				<labl>TR622 / Içel (Mersin)</labl>
			</catgry>
			<catgry>
				<catValu>39631</catValu>
				<labl>TR631 / Hatay</labl>
			</catgry>
			<catgry>
				<catValu>39632</catValu>
				<labl>TR632 / Kahramanmaras</labl>
			</catgry>
			<catgry>
				<catValu>39633</catValu>
				<labl>TR633 / Osmaniye</labl>
			</catgry>
			<catgry>
				<catValu>39711</catValu>
				<labl>TR711 / Kirikkale</labl>
			</catgry>
			<catgry>
				<catValu>39712</catValu>
				<labl>TR712 / Aksaray</labl>
			</catgry>
			<catgry>
				<catValu>39713</catValu>
				<labl>TR713 / Nigde</labl>
			</catgry>
			<catgry>
				<catValu>39714</catValu>
				<labl>TR714 / Nevsehir</labl>
			</catgry>
			<catgry>
				<catValu>39715</catValu>
				<labl>TR715 / Kirsehir</labl>
			</catgry>
			<catgry>
				<catValu>39721</catValu>
				<labl>TR721 / Kayseri</labl>
			</catgry>
			<catgry>
				<catValu>39722</catValu>
				<labl>TR722 / Sivas</labl>
			</catgry>
			<catgry>
				<catValu>39723</catValu>
				<labl>TR723 / Yozgat</labl>
			</catgry>
			<catgry>
				<catValu>39811</catValu>
				<labl>TR811 / Zonguldak</labl>
			</catgry>
			<catgry>
				<catValu>39812</catValu>
				<labl>TR812 / Karabük</labl>
			</catgry>
			<catgry>
				<catValu>39813</catValu>
				<labl>TR813 / Bartin</labl>
			</catgry>
			<catgry>
				<catValu>39821</catValu>
				<labl>TR821 / Kastamonu</labl>
			</catgry>
			<catgry>
				<catValu>39822</catValu>
				<labl>TR822 / Çankiri</labl>
			</catgry>
			<catgry>
				<catValu>39823</catValu>
				<labl>TR823 / Sinop</labl>
			</catgry>
			<catgry>
				<catValu>39831</catValu>
				<labl>TR831 / Samsun</labl>
			</catgry>
			<catgry>
				<catValu>39832</catValu>
				<labl>TR832 / Tokat</labl>
			</catgry>
			<catgry>
				<catValu>39833</catValu>
				<labl>TR833 / Çorum</labl>
			</catgry>
			<catgry>
				<catValu>39834</catValu>
				<labl>TR834 / Amasya</labl>
			</catgry>
			<catgry>
				<catValu>39901</catValu>
				<labl>TR901 / Trabzon</labl>
			</catgry>
			<catgry>
				<catValu>39902</catValu>
				<labl>TR902 / Ordu</labl>
			</catgry>
			<catgry>
				<catValu>39903</catValu>
				<labl>TR903 / Giresun</labl>
			</catgry>
			<catgry>
				<catValu>39904</catValu>
				<labl>TR904 / Rize</labl>
			</catgry>
			<catgry>
				<catValu>39905</catValu>
				<labl>TR905 / Artvin</labl>
			</catgry>
			<catgry>
				<catValu>39906</catValu>
				<labl>TR906 / Gümüshane</labl>
			</catgry>
			<catgry>
				<catValu>39910</catValu>
				<labl>TRA11 / Erzurum</labl>
			</catgry>
			<catgry>
				<catValu>39911</catValu>
				<labl>TRA12 / Erzincan</labl>
			</catgry>
			<catgry>
				<catValu>39912</catValu>
				<labl>TRA13 / Bayburt</labl>
			</catgry>
			<catgry>
				<catValu>39921</catValu>
				<labl>TRA21 / Agri</labl>
			</catgry>
			<catgry>
				<catValu>39922</catValu>
				<labl>TRA22 / Kars</labl>
			</catgry>
			<catgry>
				<catValu>39923</catValu>
				<labl>TRA23 / Igdir</labl>
			</catgry>
			<catgry>
				<catValu>39924</catValu>
				<labl>TRA24 / Ardahan</labl>
			</catgry>
			<catgry>
				<catValu>39931</catValu>
				<labl>TRB11 / Malatya</labl>
			</catgry>
			<catgry>
				<catValu>39932</catValu>
				<labl>TRB12 / Elazig</labl>
			</catgry>
			<catgry>
				<catValu>39933</catValu>
				<labl>TRB13 / Bingöl</labl>
			</catgry>
			<catgry>
				<catValu>39934</catValu>
				<labl>TRB14 / Tunceli</labl>
			</catgry>
			<catgry>
				<catValu>39941</catValu>
				<labl>TRB21 / Van</labl>
			</catgry>
			<catgry>
				<catValu>39942</catValu>
				<labl>TRB22 / Mus</labl>
			</catgry>
			<catgry>
				<catValu>39943</catValu>
				<labl>TRB23 / Bitlis</labl>
			</catgry>
			<catgry>
				<catValu>39944</catValu>
				<labl>TRB24 / Hakkari</labl>
			</catgry>
			<catgry>
				<catValu>39951</catValu>
				<labl>TRC11 / Gaziantep</labl>
			</catgry>
			<catgry>
				<catValu>39952</catValu>
				<labl>TRC12 / Adiyaman</labl>
			</catgry>
			<catgry>
				<catValu>39953</catValu>
				<labl>TRC13 / Kilis</labl>
			</catgry>
			<catgry>
				<catValu>39961</catValu>
				<labl>TRC21 / Sanliurfa</labl>
			</catgry>
			<catgry>
				<catValu>39962</catValu>
				<labl>TRC22 / Diyarbakir</labl>
			</catgry>
			<catgry>
				<catValu>39971</catValu>
				<labl>TRC31 / Mardin</labl>
			</catgry>
			<catgry>
				<catValu>39972</catValu>
				<labl>TRC32 / Batman</labl>
			</catgry>
			<catgry>
				<catValu>39973</catValu>
				<labl>TRC33 / Sirnak</labl>
			</catgry>
			<catgry>
				<catValu>39974</catValu>
				<labl>TRC34 / Siirt</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="POPDENSGEO1" dcml="0" files="H" intrvl="contin" name="POPDENSGEO1">
			<location EndPos="84" StartPos="77" width="8"></location>
			<labl>Population density of GEOLEV1 unit, in persons per square kilometer</labl>
			<txt>POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable.

The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<codInstr>POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer.</codInstr>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="POPDENSGEO2" dcml="0" files="H" intrvl="contin" name="POPDENSGEO2">
			<location EndPos="96" StartPos="85" width="12"></location>
			<labl>Population density of GEOLEV2 unit, in persons per square kilometer</labl>
			<txt>POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable.

The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<codInstr>POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer.</codInstr>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="AREAMOLLWGEO1" dcml="0" files="H" intrvl="contin" name="AREAMOLLWGEO1">
			<location EndPos="106" StartPos="97" width="10"></location>
			<labl>Area of GEOLEV1 unit in square kilometers</labl>
			<txt>AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable.

The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<codInstr>AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers.</codInstr>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="AREAMOLLWGEO2" dcml="0" files="H" intrvl="contin" name="AREAMOLLWGEO2">
			<location EndPos="116" StartPos="107" width="10"></location>
			<labl>Area of GEOLEV2 unit in square kilometers</labl>
			<txt>AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable.

The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.</txt>
			<codInstr>AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers.</codInstr>
			<concept vocab="IPUMS">Geography: Global Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEO1_ES" dcml="0" files="H" intrvl="discrete" name="GEO1_ES">
			<location EndPos="122" StartPos="117" width="6"></location>
			<labl>Spain, Communities and Autonomous Cities 1981 - 2018 [Level 1; consistent boundaries, GIS]</labl>
			<txt>GEO1_ES identifies the household's communities and autonomous cities within Spain in all sample years. Communities and autonomous cities are the first level administrative units of the country. GEO1_ES is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_ES can be downloaded from the  GIS Boundary files  page in the IPUMS International web site.  

The full set of geography variables for Spain can be found in the IPUMS International Geography variables list.  For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2.  More information on IPUMS-International geography can be found here.</txt>
			<catgry>
				<catValu>724011</catValu>
				<labl>Galicia</labl>
			</catgry>
			<catgry>
				<catValu>724012</catValu>
				<labl>Principado de Asturias</labl>
			</catgry>
			<catgry>
				<catValu>724013</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>724021</catValu>
				<labl>País Vasco</labl>
			</catgry>
			<catgry>
				<catValu>724022</catValu>
				<labl>Comunidad Foral de Navarra</labl>
			</catgry>
			<catgry>
				<catValu>724023</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>724024</catValu>
				<labl>Aragón</labl>
			</catgry>
			<catgry>
				<catValu>724030</catValu>
				<labl>Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>724041</catValu>
				<labl>Castilla y León</labl>
			</catgry>
			<catgry>
				<catValu>724042</catValu>
				<labl>Castilla-La Mancha</labl>
			</catgry>
			<catgry>
				<catValu>724043</catValu>
				<labl>Extremadura</labl>
			</catgry>
			<catgry>
				<catValu>724051</catValu>
				<labl>Cataluña</labl>
			</catgry>
			<catgry>
				<catValu>724052</catValu>
				<labl>Comunidad Valenciana</labl>
			</catgry>
			<catgry>
				<catValu>724053</catValu>
				<labl>Islas Baleares</labl>
			</catgry>
			<catgry>
				<catValu>724061</catValu>
				<labl>Andalucía</labl>
			</catgry>
			<catgry>
				<catValu>724062</catValu>
				<labl>Región de Murcia</labl>
			</catgry>
			<catgry>
				<catValu>724063</catValu>
				<labl>Ciudad Autónoma de Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>724064</catValu>
				<labl>Ciudad Autónoma de Melilla</labl>
			</catgry>
			<catgry>
				<catValu>724070</catValu>
				<labl>Canarias</labl>
			</catgry>
			<catgry>
				<catValu>724099</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEO1_ES1981" dcml="0" files="H" intrvl="discrete" name="GEO1_ES1981">
			<location EndPos="125" StartPos="123" width="3"></location>
			<labl>Spain, Communities and Autonomous Cities 1981 [Level 1, GIS]</labl>
			<txt>GEO1_ES1981 identifies the household's communities and autonomous cities in 1981. Communities and autonomous cities are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ES1981 can be downloaded from the  GIS Boundary files page in the IPUMS International web site.  

The full set of geography variables for Spain 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>011</catValu>
				<labl>Galicia</labl>
			</catgry>
			<catgry>
				<catValu>012</catValu>
				<labl>Principado de Asturias</labl>
			</catgry>
			<catgry>
				<catValu>013</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>021</catValu>
				<labl>País Vasco</labl>
			</catgry>
			<catgry>
				<catValu>022</catValu>
				<labl>Comunidad Foral de Navarra</labl>
			</catgry>
			<catgry>
				<catValu>023</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>024</catValu>
				<labl>Aragón</labl>
			</catgry>
			<catgry>
				<catValu>030</catValu>
				<labl>Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>041</catValu>
				<labl>Castilla y León</labl>
			</catgry>
			<catgry>
				<catValu>042</catValu>
				<labl>Castilla-La Mancha</labl>
			</catgry>
			<catgry>
				<catValu>043</catValu>
				<labl>Extremadura</labl>
			</catgry>
			<catgry>
				<catValu>051</catValu>
				<labl>Cataluña</labl>
			</catgry>
			<catgry>
				<catValu>052</catValu>
				<labl>Comunidad Valenciana</labl>
			</catgry>
			<catgry>
				<catValu>053</catValu>
				<labl>Islas Baleares</labl>
			</catgry>
			<catgry>
				<catValu>061</catValu>
				<labl>Andalucía</labl>
			</catgry>
			<catgry>
				<catValu>062</catValu>
				<labl>Región de Murcia</labl>
			</catgry>
			<catgry>
				<catValu>063</catValu>
				<labl>Ciudad Autónoma de Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>064</catValu>
				<labl>Ciudad Autónoma de Melilla</labl>
			</catgry>
			<catgry>
				<catValu>070</catValu>
				<labl>Canarias</labl>
			</catgry>
			<catgry>
				<catValu>099</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEO2_ES" dcml="0" files="H" intrvl="discrete" name="GEO2_ES">
			<location EndPos="134" StartPos="126" width="9"></location>
			<labl>Spain, Province 1981 - 2018 [Level 2; consistent boundaries,GIS]</labl>
			<txt>GEO2_ES identifies the household’s province within Spain for all sample years. Provinces are the second level administrative units of the country, after communities and autonomous cities.  A GIS map (in shapefile format), corresponding to GEO2_ES can be downloaded from the GIS Boundary files page in the IPUMS International web site.  

The full set of geography variables for Spain 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>724011015</catValu>
				<labl>A Coruña</labl>
			</catgry>
			<catgry>
				<catValu>724011027</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>724011032</catValu>
				<labl>Ourense</labl>
			</catgry>
			<catgry>
				<catValu>724011036</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>724012033</catValu>
				<labl>Asturias</labl>
			</catgry>
			<catgry>
				<catValu>724013039</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>724021001</catValu>
				<labl>Álava</labl>
			</catgry>
			<catgry>
				<catValu>724021020</catValu>
				<labl>Guipúzcoa</labl>
			</catgry>
			<catgry>
				<catValu>724021048</catValu>
				<labl>Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>724022031</catValu>
				<labl>Navarra</labl>
			</catgry>
			<catgry>
				<catValu>724023026</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>724024022</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>724024044</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>724024050</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>724030028</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>724041005</catValu>
				<labl>Ávila</labl>
			</catgry>
			<catgry>
				<catValu>724041009</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>724041024</catValu>
				<labl>León</labl>
			</catgry>
			<catgry>
				<catValu>724041034</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>724041037</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>724041040</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>724041042</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>724041047</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>724041049</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>724042002</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>724042013</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>724042016</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>724042019</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>724042045</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>724043006</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>724043010</catValu>
				<labl>Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>724051008</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>724051017</catValu>
				<labl>Girona</labl>
			</catgry>
			<catgry>
				<catValu>724051025</catValu>
				<labl>Lleida</labl>
			</catgry>
			<catgry>
				<catValu>724051043</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>724052003</catValu>
				<labl>Alicante/Alacant</labl>
			</catgry>
			<catgry>
				<catValu>724052012</catValu>
				<labl>Castellón/Castelló</labl>
			</catgry>
			<catgry>
				<catValu>724052046</catValu>
				<labl>Valencia/València</labl>
			</catgry>
			<catgry>
				<catValu>724053007</catValu>
				<labl>Islas Baleares</labl>
			</catgry>
			<catgry>
				<catValu>724061004</catValu>
				<labl>Almería</labl>
			</catgry>
			<catgry>
				<catValu>724061011</catValu>
				<labl>Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>724061014</catValu>
				<labl>Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>724061018</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>724061021</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>724061023</catValu>
				<labl>Jaén</labl>
			</catgry>
			<catgry>
				<catValu>724061029</catValu>
				<labl>Málaga</labl>
			</catgry>
			<catgry>
				<catValu>724061041</catValu>
				<labl>Sevilla</labl>
			</catgry>
			<catgry>
				<catValu>724062030</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>724063051</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>724064052</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>724070035</catValu>
				<labl>Las Palmas</labl>
			</catgry>
			<catgry>
				<catValu>724070038</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>724099999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEO2_ES1981" dcml="0" files="H" intrvl="discrete" name="GEO2_ES1981">
			<location EndPos="140" StartPos="135" width="6"></location>
			<labl>Spain, Province 1981 [Level 2, GIS]</labl>
			<txt>GEO2_ES1981 identifies the household’s province within Spain in 1981. Provinces are the second level administrative units of the country, after communities and autonomous cities.  A GIS map (in shapefile format), corresponding to GEO2_ES1981 can be downloaded from the GIS Boundary files page in the IPUMS International web site.  

The full set of geography variables for Spain 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>011015</catValu>
				<labl>La Coruña</labl>
			</catgry>
			<catgry>
				<catValu>011027</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>011032</catValu>
				<labl>Orense</labl>
			</catgry>
			<catgry>
				<catValu>011036</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>012033</catValu>
				<labl>Oviedo</labl>
			</catgry>
			<catgry>
				<catValu>013039</catValu>
				<labl>Santander</labl>
			</catgry>
			<catgry>
				<catValu>021001</catValu>
				<labl>Álava</labl>
			</catgry>
			<catgry>
				<catValu>021020</catValu>
				<labl>Guipúzcoa</labl>
			</catgry>
			<catgry>
				<catValu>021048</catValu>
				<labl>Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>022031</catValu>
				<labl>Navarra</labl>
			</catgry>
			<catgry>
				<catValu>023026</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>024022</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>024044</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>024050</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>030028</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>041005</catValu>
				<labl>Ávila</labl>
			</catgry>
			<catgry>
				<catValu>041009</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>041024</catValu>
				<labl>León</labl>
			</catgry>
			<catgry>
				<catValu>041034</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>041037</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>041040</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>041042</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>041047</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>041049</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>042002</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>042013</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>042016</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>042019</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>042045</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>043006</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>043010</catValu>
				<labl>Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>051008</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>051017</catValu>
				<labl>Gerona</labl>
			</catgry>
			<catgry>
				<catValu>051025</catValu>
				<labl>Lerida</labl>
			</catgry>
			<catgry>
				<catValu>051043</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>052003</catValu>
				<labl>Alicante</labl>
			</catgry>
			<catgry>
				<catValu>052012</catValu>
				<labl>Castellón</labl>
			</catgry>
			<catgry>
				<catValu>052046</catValu>
				<labl>Valencia</labl>
			</catgry>
			<catgry>
				<catValu>053007</catValu>
				<labl>Baleares</labl>
			</catgry>
			<catgry>
				<catValu>061004</catValu>
				<labl>Almería</labl>
			</catgry>
			<catgry>
				<catValu>061011</catValu>
				<labl>Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>061014</catValu>
				<labl>Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>061018</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>061021</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>061023</catValu>
				<labl>Jaén</labl>
			</catgry>
			<catgry>
				<catValu>061029</catValu>
				<labl>Malaga</labl>
			</catgry>
			<catgry>
				<catValu>061041</catValu>
				<labl>Seville</labl>
			</catgry>
			<catgry>
				<catValu>062030</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>063051</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>064052</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>070035</catValu>
				<labl>Las Palmas</labl>
			</catgry>
			<catgry>
				<catValu>070038</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>099999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MUNIES" dcml="0" files="H" intrvl="discrete" name="MUNIES">
			<location EndPos="145" StartPos="141" width="5"></location>
			<labl>Spain, Municipality 1981 - 2011 [Level 3; inconsistent boundaries, harmonized by name]</labl>
			<txt>MUNIES identifies the household's municipality within Spain in all sample years.  Municipalities are the third level administrative units of the country, after province. MUNIES is harmonized by name and does not account for boundary changes over time. 

The full set of geography variables for Spain 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>01036</catValu>
				<labl>Llodio</labl>
			</catgry>
			<catgry>
				<catValu>01059</catValu>
				<labl>Vitoria-Gasteiz</labl>
			</catgry>
			<catgry>
				<catValu>01999</catValu>
				<labl>Other municipalities in Álava province</labl>
			</catgry>
			<catgry>
				<catValu>02003</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>02037</catValu>
				<labl>Hellín</labl>
			</catgry>
			<catgry>
				<catValu>02999</catValu>
				<labl>Other municipalities in Albacete province</labl>
			</catgry>
			<catgry>
				<catValu>03009</catValu>
				<labl>Alcoy/Alcoi</labl>
			</catgry>
			<catgry>
				<catValu>03014</catValu>
				<labl>Alicante/Alacant</labl>
			</catgry>
			<catgry>
				<catValu>03031</catValu>
				<labl>Benidorm</labl>
			</catgry>
			<catgry>
				<catValu>03063</catValu>
				<labl>Dénia</labl>
			</catgry>
			<catgry>
				<catValu>03065</catValu>
				<labl>Elche/Elx</labl>
			</catgry>
			<catgry>
				<catValu>03066</catValu>
				<labl>Elda</labl>
			</catgry>
			<catgry>
				<catValu>03099</catValu>
				<labl>Orihuela</labl>
			</catgry>
			<catgry>
				<catValu>03104</catValu>
				<labl>Petrer</labl>
			</catgry>
			<catgry>
				<catValu>03122</catValu>
				<labl>San Vicente del Raspeig/Sant Vicent del Raspeig</labl>
			</catgry>
			<catgry>
				<catValu>03133</catValu>
				<labl>Torrevieja</labl>
			</catgry>
			<catgry>
				<catValu>03140</catValu>
				<labl>Villena</labl>
			</catgry>
			<catgry>
				<catValu>03999</catValu>
				<labl>Other municipalities in Alicante/Alacant province</labl>
			</catgry>
			<catgry>
				<catValu>04013</catValu>
				<labl>Almería</labl>
			</catgry>
			<catgry>
				<catValu>04079</catValu>
				<labl>Roquetas de Mar</labl>
			</catgry>
			<catgry>
				<catValu>04902</catValu>
				<labl>Ejido (El)</labl>
			</catgry>
			<catgry>
				<catValu>04999</catValu>
				<labl>Other municipalities in Almería province</labl>
			</catgry>
			<catgry>
				<catValu>05019</catValu>
				<labl>Ávila</labl>
			</catgry>
			<catgry>
				<catValu>05999</catValu>
				<labl>Other municipalities in Ávila province</labl>
			</catgry>
			<catgry>
				<catValu>06011</catValu>
				<labl>Almendralejo</labl>
			</catgry>
			<catgry>
				<catValu>06015</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>06044</catValu>
				<labl>Don Benito</labl>
			</catgry>
			<catgry>
				<catValu>06083</catValu>
				<labl>Mérida</labl>
			</catgry>
			<catgry>
				<catValu>06999</catValu>
				<labl>Other municipalities in Badajoz province</labl>
			</catgry>
			<catgry>
				<catValu>07011</catValu>
				<labl>Calvi</labl>
			</catgry>
			<catgry>
				<catValu>07026</catValu>
				<labl>Eivissa</labl>
			</catgry>
			<catgry>
				<catValu>07031</catValu>
				<labl>Llucmajor</labl>
			</catgry>
			<catgry>
				<catValu>07033</catValu>
				<labl>Manacor</labl>
			</catgry>
			<catgry>
				<catValu>07036</catValu>
				<labl>Marratxí</labl>
			</catgry>
			<catgry>
				<catValu>07040</catValu>
				<labl>Palma de Mallorca</labl>
			</catgry>
			<catgry>
				<catValu>07999</catValu>
				<labl>Other municipalities in Balears (Illes) province</labl>
			</catgry>
			<catgry>
				<catValu>08015</catValu>
				<labl>Badalona</labl>
			</catgry>
			<catgry>
				<catValu>08019</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>08056</catValu>
				<labl>Castelldefels</labl>
			</catgry>
			<catgry>
				<catValu>08073</catValu>
				<labl>Cornell  de Llobregat</labl>
			</catgry>
			<catgry>
				<catValu>08077</catValu>
				<labl>Esplugues de Llobregat</labl>
			</catgry>
			<catgry>
				<catValu>08089</catValu>
				<labl>Gav</labl>
			</catgry>
			<catgry>
				<catValu>08096</catValu>
				<labl>Granollers</labl>
			</catgry>
			<catgry>
				<catValu>08101</catValu>
				<labl>Hospitalet de Llobregat (L)</labl>
			</catgry>
			<catgry>
				<catValu>08102</catValu>
				<labl>Igualada</labl>
			</catgry>
			<catgry>
				<catValu>08113</catValu>
				<labl>Manresa</labl>
			</catgry>
			<catgry>
				<catValu>08121</catValu>
				<labl>Mataró</labl>
			</catgry>
			<catgry>
				<catValu>08124</catValu>
				<labl>Mollet del Vallès</labl>
			</catgry>
			<catgry>
				<catValu>08169</catValu>
				<labl>Prat de Llobregat (El)</labl>
			</catgry>
			<catgry>
				<catValu>08180</catValu>
				<labl>Ripollet</labl>
			</catgry>
			<catgry>
				<catValu>08184</catValu>
				<labl>Rubí</labl>
			</catgry>
			<catgry>
				<catValu>08187</catValu>
				<labl>Sabadell</labl>
			</catgry>
			<catgry>
				<catValu>08194</catValu>
				<labl>Sant Adri  de Besòs</labl>
			</catgry>
			<catgry>
				<catValu>08200</catValu>
				<labl>Sant Boi de Llobregat</labl>
			</catgry>
			<catgry>
				<catValu>08205</catValu>
				<labl>Sant Cugat del Vallès</labl>
			</catgry>
			<catgry>
				<catValu>08211</catValu>
				<labl>Sant Feliu de Llobregat</labl>
			</catgry>
			<catgry>
				<catValu>08217</catValu>
				<labl>Sant Joan Despí</labl>
			</catgry>
			<catgry>
				<catValu>08245</catValu>
				<labl>Santa Coloma de Gramenet</labl>
			</catgry>
			<catgry>
				<catValu>08252</catValu>
				<labl>Barber  del Vallès</labl>
			</catgry>
			<catgry>
				<catValu>08263</catValu>
				<labl>Sant Vicenç dels Horts</labl>
			</catgry>
			<catgry>
				<catValu>08266</catValu>
				<labl>Cerdanyola del Vallès</labl>
			</catgry>
			<catgry>
				<catValu>08279</catValu>
				<labl>Terrassa</labl>
			</catgry>
			<catgry>
				<catValu>08298</catValu>
				<labl>Vic</labl>
			</catgry>
			<catgry>
				<catValu>08301</catValu>
				<labl>Viladecans</labl>
			</catgry>
			<catgry>
				<catValu>08305</catValu>
				<labl>Vilafranca del Penedès</labl>
			</catgry>
			<catgry>
				<catValu>08307</catValu>
				<labl>Vilanova i la Geltrú</labl>
			</catgry>
			<catgry>
				<catValu>08999</catValu>
				<labl>Other municipalities in Barcelona province</labl>
			</catgry>
			<catgry>
				<catValu>09018</catValu>
				<labl>Aranda de Duero</labl>
			</catgry>
			<catgry>
				<catValu>09059</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>09219</catValu>
				<labl>Miranda de Ebro</labl>
			</catgry>
			<catgry>
				<catValu>09999</catValu>
				<labl>Municipalities under 20,000 in Burgos province</labl>
			</catgry>
			<catgry>
				<catValu>10037</catValu>
				<labl>Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>10148</catValu>
				<labl>Plasencia</labl>
			</catgry>
			<catgry>
				<catValu>10999</catValu>
				<labl>Municipalities under 20,000 in Cáceres province</labl>
			</catgry>
			<catgry>
				<catValu>11004</catValu>
				<labl>Algeciras</labl>
			</catgry>
			<catgry>
				<catValu>11006</catValu>
				<labl>Arcos de la Frontera</labl>
			</catgry>
			<catgry>
				<catValu>11012</catValu>
				<labl>Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>11015</catValu>
				<labl>Chiclana de la Frontera</labl>
			</catgry>
			<catgry>
				<catValu>11020</catValu>
				<labl>Jerez de la Frontera</labl>
			</catgry>
			<catgry>
				<catValu>11022</catValu>
				<labl>Línea de la Concepción (La)</labl>
			</catgry>
			<catgry>
				<catValu>11027</catValu>
				<labl>Puerto de Santa María (El)</labl>
			</catgry>
			<catgry>
				<catValu>11028</catValu>
				<labl>Puerto Real</labl>
			</catgry>
			<catgry>
				<catValu>11031</catValu>
				<labl>San Fernando</labl>
			</catgry>
			<catgry>
				<catValu>11032</catValu>
				<labl>Sanlúcar de Barrameda</labl>
			</catgry>
			<catgry>
				<catValu>11999</catValu>
				<labl>Other municipalities in Cádiz province</labl>
			</catgry>
			<catgry>
				<catValu>12032</catValu>
				<labl>Burriana</labl>
			</catgry>
			<catgry>
				<catValu>12040</catValu>
				<labl>Castellón de la Plana/Castelló de la Plana</labl>
			</catgry>
			<catgry>
				<catValu>12126</catValu>
				<labl>Vall dUixó (la)</labl>
			</catgry>
			<catgry>
				<catValu>12135</catValu>
				<labl>Villarreal/Vila-real</labl>
			</catgry>
			<catgry>
				<catValu>12999</catValu>
				<labl>Other municipalities in Castellón/Castelló province</labl>
			</catgry>
			<catgry>
				<catValu>13005</catValu>
				<labl>Alcázar de San Juan</labl>
			</catgry>
			<catgry>
				<catValu>13034</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>13071</catValu>
				<labl>Puertollano</labl>
			</catgry>
			<catgry>
				<catValu>13082</catValu>
				<labl>Tomelloso</labl>
			</catgry>
			<catgry>
				<catValu>13087</catValu>
				<labl>Valdepeñas</labl>
			</catgry>
			<catgry>
				<catValu>13999</catValu>
				<labl>Other municipalities in Ciudad Real province</labl>
			</catgry>
			<catgry>
				<catValu>14021</catValu>
				<labl>Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>14038</catValu>
				<labl>Lucena</labl>
			</catgry>
			<catgry>
				<catValu>14056</catValu>
				<labl>Puente Genil</labl>
			</catgry>
			<catgry>
				<catValu>14999</catValu>
				<labl>Other municipalities in Córdoba province</labl>
			</catgry>
			<catgry>
				<catValu>15005</catValu>
				<labl>Arteixo</labl>
			</catgry>
			<catgry>
				<catValu>15019</catValu>
				<labl>Carballo</labl>
			</catgry>
			<catgry>
				<catValu>15030</catValu>
				<labl>Coruña (A)</labl>
			</catgry>
			<catgry>
				<catValu>15031</catValu>
				<labl>Culleredo</labl>
			</catgry>
			<catgry>
				<catValu>15036</catValu>
				<labl>Ferrol</labl>
			</catgry>
			<catgry>
				<catValu>15054</catValu>
				<labl>Narón</labl>
			</catgry>
			<catgry>
				<catValu>15058</catValu>
				<labl>Oleiros</labl>
			</catgry>
			<catgry>
				<catValu>15078</catValu>
				<labl>Santiago de Compostela</labl>
			</catgry>
			<catgry>
				<catValu>15999</catValu>
				<labl>Other municipalities in Coruña (A) province</labl>
			</catgry>
			<catgry>
				<catValu>16078</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>16999</catValu>
				<labl>Other municipalities in Cuenca province</labl>
			</catgry>
			<catgry>
				<catValu>17023</catValu>
				<labl>Blanes</labl>
			</catgry>
			<catgry>
				<catValu>17066</catValu>
				<labl>Figueres</labl>
			</catgry>
			<catgry>
				<catValu>17079</catValu>
				<labl>Girona</labl>
			</catgry>
			<catgry>
				<catValu>17114</catValu>
				<labl>Olot</labl>
			</catgry>
			<catgry>
				<catValu>17999</catValu>
				<labl>Other municipalities in Girona province</labl>
			</catgry>
			<catgry>
				<catValu>18087</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>18089</catValu>
				<labl>Guadix</labl>
			</catgry>
			<catgry>
				<catValu>18140</catValu>
				<labl>Motril</labl>
			</catgry>
			<catgry>
				<catValu>18999</catValu>
				<labl>Other municipalities in Granada province</labl>
			</catgry>
			<catgry>
				<catValu>19046</catValu>
				<labl>Azuqueca de Henares</labl>
			</catgry>
			<catgry>
				<catValu>19130</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>19999</catValu>
				<labl>Other municipalities in Guadalajara province</labl>
			</catgry>
			<catgry>
				<catValu>20045</catValu>
				<labl>Irun</labl>
			</catgry>
			<catgry>
				<catValu>20067</catValu>
				<labl>Errenteria</labl>
			</catgry>
			<catgry>
				<catValu>20069</catValu>
				<labl>Donostia-San Sebastián</labl>
			</catgry>
			<catgry>
				<catValu>20999</catValu>
				<labl>Other municipalities in Guipúzcoa province</labl>
			</catgry>
			<catgry>
				<catValu>21041</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>21999</catValu>
				<labl>Other municipalities in Huelva province</labl>
			</catgry>
			<catgry>
				<catValu>22125</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>22999</catValu>
				<labl>Other municipalities in Huesca province</labl>
			</catgry>
			<catgry>
				<catValu>23005</catValu>
				<labl>Andújar</labl>
			</catgry>
			<catgry>
				<catValu>23050</catValu>
				<labl>Jaén</labl>
			</catgry>
			<catgry>
				<catValu>23055</catValu>
				<labl>Linares</labl>
			</catgry>
			<catgry>
				<catValu>23092</catValu>
				<labl>Úbeda</labl>
			</catgry>
			<catgry>
				<catValu>23999</catValu>
				<labl>Other municipalities in Jaén province</labl>
			</catgry>
			<catgry>
				<catValu>24089</catValu>
				<labl>León</labl>
			</catgry>
			<catgry>
				<catValu>24115</catValu>
				<labl>Ponferrada</labl>
			</catgry>
			<catgry>
				<catValu>24142</catValu>
				<labl>San Andrés del Rabanedo</labl>
			</catgry>
			<catgry>
				<catValu>24999</catValu>
				<labl>Other municipalities in León province</labl>
			</catgry>
			<catgry>
				<catValu>25120</catValu>
				<labl>Lleida</labl>
			</catgry>
			<catgry>
				<catValu>25999</catValu>
				<labl>Other municipalities in Lleida province</labl>
			</catgry>
			<catgry>
				<catValu>26089</catValu>
				<labl>Logroño</labl>
			</catgry>
			<catgry>
				<catValu>26999</catValu>
				<labl>Other municipalities in Rioja (La) province</labl>
			</catgry>
			<catgry>
				<catValu>27028</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>27031</catValu>
				<labl>Monforte de Lemos</labl>
			</catgry>
			<catgry>
				<catValu>27999</catValu>
				<labl>Other municipalities in Lugo province</labl>
			</catgry>
			<catgry>
				<catValu>28005</catValu>
				<labl>Alcalá de Henares</labl>
			</catgry>
			<catgry>
				<catValu>28006</catValu>
				<labl>Alcobendas</labl>
			</catgry>
			<catgry>
				<catValu>28007</catValu>
				<labl>Alcorcón</labl>
			</catgry>
			<catgry>
				<catValu>28013</catValu>
				<labl>Aranjuez</labl>
			</catgry>
			<catgry>
				<catValu>28014</catValu>
				<labl>Arganda del Rey</labl>
			</catgry>
			<catgry>
				<catValu>28022</catValu>
				<labl>Boadilla del Monte</labl>
			</catgry>
			<catgry>
				<catValu>28045</catValu>
				<labl>Colmenar Viejo</labl>
			</catgry>
			<catgry>
				<catValu>28047</catValu>
				<labl>Collado Villalba</labl>
			</catgry>
			<catgry>
				<catValu>28049</catValu>
				<labl>Coslada</labl>
			</catgry>
			<catgry>
				<catValu>28058</catValu>
				<labl>Fuenlabrada</labl>
			</catgry>
			<catgry>
				<catValu>28061</catValu>
				<labl>Galapagar</labl>
			</catgry>
			<catgry>
				<catValu>28065</catValu>
				<labl>Getafe</labl>
			</catgry>
			<catgry>
				<catValu>28074</catValu>
				<labl>Leganés</labl>
			</catgry>
			<catgry>
				<catValu>28079</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>28080</catValu>
				<labl>Majadahonda</labl>
			</catgry>
			<catgry>
				<catValu>28092</catValu>
				<labl>Móstoles</labl>
			</catgry>
			<catgry>
				<catValu>28106</catValu>
				<labl>Parla</labl>
			</catgry>
			<catgry>
				<catValu>28113</catValu>
				<labl>Pinto</labl>
			</catgry>
			<catgry>
				<catValu>28115</catValu>
				<labl>Pozuelo de Alarcón</labl>
			</catgry>
			<catgry>
				<catValu>28123</catValu>
				<labl>Rivas-Vaciamadrid</labl>
			</catgry>
			<catgry>
				<catValu>28127</catValu>
				<labl>Rozas de Madrid (Las)</labl>
			</catgry>
			<catgry>
				<catValu>28130</catValu>
				<labl>San Fernando de Henares</labl>
			</catgry>
			<catgry>
				<catValu>28134</catValu>
				<labl>San Sebastián de los Reyes</labl>
			</catgry>
			<catgry>
				<catValu>28148</catValu>
				<labl>Torrejón de Ardoz</labl>
			</catgry>
			<catgry>
				<catValu>28161</catValu>
				<labl>Valdemoro</labl>
			</catgry>
			<catgry>
				<catValu>28903</catValu>
				<labl>Tres Cantos</labl>
			</catgry>
			<catgry>
				<catValu>28999</catValu>
				<labl>Other municipalities in Madrid province</labl>
			</catgry>
			<catgry>
				<catValu>29007</catValu>
				<labl>Alhaurín de la Torre</labl>
			</catgry>
			<catgry>
				<catValu>29015</catValu>
				<labl>Antequera</labl>
			</catgry>
			<catgry>
				<catValu>29025</catValu>
				<labl>Benalmádena</labl>
			</catgry>
			<catgry>
				<catValu>29051</catValu>
				<labl>Estepona</labl>
			</catgry>
			<catgry>
				<catValu>29054</catValu>
				<labl>Fuengirola</labl>
			</catgry>
			<catgry>
				<catValu>29067</catValu>
				<labl>Málaga</labl>
			</catgry>
			<catgry>
				<catValu>29069</catValu>
				<labl>Marbella</labl>
			</catgry>
			<catgry>
				<catValu>29070</catValu>
				<labl>Mijas</labl>
			</catgry>
			<catgry>
				<catValu>29082</catValu>
				<labl>Rincón de la Victoria</labl>
			</catgry>
			<catgry>
				<catValu>29084</catValu>
				<labl>Ronda</labl>
			</catgry>
			<catgry>
				<catValu>29094</catValu>
				<labl>Vélez-Málaga</labl>
			</catgry>
			<catgry>
				<catValu>29901</catValu>
				<labl>Torremolinos</labl>
			</catgry>
			<catgry>
				<catValu>29999</catValu>
				<labl>Other municipalities in Málaga province</labl>
			</catgry>
			<catgry>
				<catValu>30005</catValu>
				<labl>Alcantarilla</labl>
			</catgry>
			<catgry>
				<catValu>30016</catValu>
				<labl>Cartagena</labl>
			</catgry>
			<catgry>
				<catValu>30019</catValu>
				<labl>Cieza</labl>
			</catgry>
			<catgry>
				<catValu>30024</catValu>
				<labl>Lorca</labl>
			</catgry>
			<catgry>
				<catValu>30027</catValu>
				<labl>Molina de Segura</labl>
			</catgry>
			<catgry>
				<catValu>30030</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>30037</catValu>
				<labl>Torre-Pacheco</labl>
			</catgry>
			<catgry>
				<catValu>30039</catValu>
				<labl>Totana</labl>
			</catgry>
			<catgry>
				<catValu>30043</catValu>
				<labl>Yecla</labl>
			</catgry>
			<catgry>
				<catValu>30999</catValu>
				<labl>Other municipalities in Murcia province</labl>
			</catgry>
			<catgry>
				<catValu>31201</catValu>
				<labl>Pamplona/Iruña</labl>
			</catgry>
			<catgry>
				<catValu>31232</catValu>
				<labl>Tudela</labl>
			</catgry>
			<catgry>
				<catValu>31999</catValu>
				<labl>Other municipalities in Navarra province</labl>
			</catgry>
			<catgry>
				<catValu>32054</catValu>
				<labl>Ourense</labl>
			</catgry>
			<catgry>
				<catValu>32999</catValu>
				<labl>Other municipalities in Ourense province</labl>
			</catgry>
			<catgry>
				<catValu>33004</catValu>
				<labl>Avilés</labl>
			</catgry>
			<catgry>
				<catValu>33024</catValu>
				<labl>Gijón</labl>
			</catgry>
			<catgry>
				<catValu>33031</catValu>
				<labl>Langreo</labl>
			</catgry>
			<catgry>
				<catValu>33037</catValu>
				<labl>Mieres</labl>
			</catgry>
			<catgry>
				<catValu>33044</catValu>
				<labl>Oviedo</labl>
			</catgry>
			<catgry>
				<catValu>33060</catValu>
				<labl>San Martín del Rey Aurelio</labl>
			</catgry>
			<catgry>
				<catValu>33066</catValu>
				<labl>Siero</labl>
			</catgry>
			<catgry>
				<catValu>33999</catValu>
				<labl>Other municipalities in Asturias province</labl>
			</catgry>
			<catgry>
				<catValu>34120</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>34999</catValu>
				<labl>Other municipalities in Palencia province</labl>
			</catgry>
			<catgry>
				<catValu>35004</catValu>
				<labl>Arrecife</labl>
			</catgry>
			<catgry>
				<catValu>35006</catValu>
				<labl>Arucas</labl>
			</catgry>
			<catgry>
				<catValu>35016</catValu>
				<labl>Palmas de Gran Canaria (Las)</labl>
			</catgry>
			<catgry>
				<catValu>35019</catValu>
				<labl>San Bartolomé de Tirajana</labl>
			</catgry>
			<catgry>
				<catValu>35022</catValu>
				<labl>Santa Lucía de Tirajana</labl>
			</catgry>
			<catgry>
				<catValu>35026</catValu>
				<labl>Telde</labl>
			</catgry>
			<catgry>
				<catValu>35999</catValu>
				<labl>Other municipalities in Palmas (Las) province</labl>
			</catgry>
			<catgry>
				<catValu>36038</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>36045</catValu>
				<labl>Redondela</labl>
			</catgry>
			<catgry>
				<catValu>36057</catValu>
				<labl>Vigo</labl>
			</catgry>
			<catgry>
				<catValu>36060</catValu>
				<labl>Vilagarcía de Arousa</labl>
			</catgry>
			<catgry>
				<catValu>36999</catValu>
				<labl>Other municipalities in Pontevedra province</labl>
			</catgry>
			<catgry>
				<catValu>37274</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>37999</catValu>
				<labl>Other municipalities in Salamanca province</labl>
			</catgry>
			<catgry>
				<catValu>38006</catValu>
				<labl>Arona</labl>
			</catgry>
			<catgry>
				<catValu>38023</catValu>
				<labl>San Cristóbal de La Laguna</labl>
			</catgry>
			<catgry>
				<catValu>38026</catValu>
				<labl>Orotava (La)</labl>
			</catgry>
			<catgry>
				<catValu>38031</catValu>
				<labl>Realejos (Los)</labl>
			</catgry>
			<catgry>
				<catValu>38038</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>38999</catValu>
				<labl>Other municipalities in Santa Cruz de Tenerife province</labl>
			</catgry>
			<catgry>
				<catValu>39016</catValu>
				<labl>Camargo</labl>
			</catgry>
			<catgry>
				<catValu>39075</catValu>
				<labl>Santander</labl>
			</catgry>
			<catgry>
				<catValu>39087</catValu>
				<labl>Torrelavega</labl>
			</catgry>
			<catgry>
				<catValu>39999</catValu>
				<labl>Other municipalities in Cantabria province</labl>
			</catgry>
			<catgry>
				<catValu>40194</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>40999</catValu>
				<labl>Other municipalities in Segovia province</labl>
			</catgry>
			<catgry>
				<catValu>41004</catValu>
				<labl>Alcalá de Guadaira</labl>
			</catgry>
			<catgry>
				<catValu>41024</catValu>
				<labl>Carmona</labl>
			</catgry>
			<catgry>
				<catValu>41038</catValu>
				<labl>Dos Hermanas</labl>
			</catgry>
			<catgry>
				<catValu>41039</catValu>
				<labl>Écija</labl>
			</catgry>
			<catgry>
				<catValu>41059</catValu>
				<labl>Mairena del Aljarafe</labl>
			</catgry>
			<catgry>
				<catValu>41069</catValu>
				<labl>Palacios y Villafranca (Los)</labl>
			</catgry>
			<catgry>
				<catValu>41081</catValu>
				<labl>Rinconada (La)</labl>
			</catgry>
			<catgry>
				<catValu>41091</catValu>
				<labl>Sevilla</labl>
			</catgry>
			<catgry>
				<catValu>41095</catValu>
				<labl>Utrera</labl>
			</catgry>
			<catgry>
				<catValu>41999</catValu>
				<labl>Other municipalities in Sevilla province</labl>
			</catgry>
			<catgry>
				<catValu>42173</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>42999</catValu>
				<labl>Other municipalities in Soria province</labl>
			</catgry>
			<catgry>
				<catValu>43123</catValu>
				<labl>Reus</labl>
			</catgry>
			<catgry>
				<catValu>43148</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>43155</catValu>
				<labl>Tortosa</labl>
			</catgry>
			<catgry>
				<catValu>43999</catValu>
				<labl>Other municipalities in Tarragona province</labl>
			</catgry>
			<catgry>
				<catValu>44216</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>44999</catValu>
				<labl>Other municipalities in Teruel province</labl>
			</catgry>
			<catgry>
				<catValu>45165</catValu>
				<labl>Talavera de la Reina</labl>
			</catgry>
			<catgry>
				<catValu>45168</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>45999</catValu>
				<labl>Other municipalities in Toledo province</labl>
			</catgry>
			<catgry>
				<catValu>46017</catValu>
				<labl>Alzira</labl>
			</catgry>
			<catgry>
				<catValu>46078</catValu>
				<labl>Burjassot</labl>
			</catgry>
			<catgry>
				<catValu>46110</catValu>
				<labl>Xirivella</labl>
			</catgry>
			<catgry>
				<catValu>46131</catValu>
				<labl>Gandia</labl>
			</catgry>
			<catgry>
				<catValu>46145</catValu>
				<labl>X tiva</labl>
			</catgry>
			<catgry>
				<catValu>46169</catValu>
				<labl>Mislata</labl>
			</catgry>
			<catgry>
				<catValu>46184</catValu>
				<labl>Ontinyent</labl>
			</catgry>
			<catgry>
				<catValu>46190</catValu>
				<labl>Paterna</labl>
			</catgry>
			<catgry>
				<catValu>46220</catValu>
				<labl>Sagunto/Sagunt</labl>
			</catgry>
			<catgry>
				<catValu>46244</catValu>
				<labl>Torrent</labl>
			</catgry>
			<catgry>
				<catValu>46250</catValu>
				<labl>Valencia</labl>
			</catgry>
			<catgry>
				<catValu>46999</catValu>
				<labl>Other municipalities in Valencia/València province</labl>
			</catgry>
			<catgry>
				<catValu>47186</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>47999</catValu>
				<labl>Other municipalities in Valladolid province</labl>
			</catgry>
			<catgry>
				<catValu>48013</catValu>
				<labl>Barakaldo</labl>
			</catgry>
			<catgry>
				<catValu>48015</catValu>
				<labl>Basauri</labl>
			</catgry>
			<catgry>
				<catValu>48020</catValu>
				<labl>Bilbao</labl>
			</catgry>
			<catgry>
				<catValu>48027</catValu>
				<labl>Durango</labl>
			</catgry>
			<catgry>
				<catValu>48036</catValu>
				<labl>Galdakao</labl>
			</catgry>
			<catgry>
				<catValu>48044</catValu>
				<labl>Getxo</labl>
			</catgry>
			<catgry>
				<catValu>48054</catValu>
				<labl>Leioa</labl>
			</catgry>
			<catgry>
				<catValu>48078</catValu>
				<labl>Portugalete</labl>
			</catgry>
			<catgry>
				<catValu>48082</catValu>
				<labl>Santurtzi</labl>
			</catgry>
			<catgry>
				<catValu>48084</catValu>
				<labl>Sestao</labl>
			</catgry>
			<catgry>
				<catValu>48999</catValu>
				<labl>Other municipalities in Vizcaya province</labl>
			</catgry>
			<catgry>
				<catValu>49275</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>49999</catValu>
				<labl>Other municipalities in Zamora province</labl>
			</catgry>
			<catgry>
				<catValu>50297</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>50999</catValu>
				<labl>Other municipalities in Zaragoza province</labl>
			</catgry>
			<catgry>
				<catValu>51001</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>52001</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>99999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_DWNUM" dcml="0" files="H" intrvl="contin" name="ES1981A_DWNUM">
			<location EndPos="152" StartPos="146" width="7"></location>
			<labl>Dwelling number</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A001 ES81A002 ES81A004 ES81A016 ES81A017 ES81A018 ES81A019 ES81A020 ES81A022 ES81A023 ES81A025 ES81A026 ES81A027"&gt;&lt;div class="i1"&gt;_ _ Province&lt;br /&gt;_ _ _ Municipality&lt;br /&gt;_ _ d.c.&lt;br /&gt;_ _ District&lt;br /&gt;_ _ _ Section&lt;br /&gt;_ _ _ _ Dwelling&lt;br /&gt;_ _ _ Block&lt;br /&gt;_ Zone&lt;br /&gt;_ With other dwellings or isolated&lt;br /&gt;_ Number of families&lt;br /&gt;_ _ 1st family&lt;br /&gt;_ _ 2nd family&lt;br /&gt;_ _ 3rd family&lt;br /&gt;_ _ 4th family&lt;br /&gt;_ _ 5th family&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates the dwelling number.</txt>
			<codInstr>This is a 7-digit numeric variable with 0 implied decimal places</codInstr>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_DWTYPE" dcml="0" files="H" intrvl="discrete" name="ES1981A_DWTYPE">
			<location EndPos="153" StartPos="153" width="1"></location>
			<labl>Type of dwelling</labl>
			<qstn></qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates whether the dwelling is private or collective.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Private</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Collective</labl>
			</catgry>
			<concept vocab="IPUMS">Group Quarters Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_HHNO" dcml="0" files="H" intrvl="discrete" name="ES1981A_HHNO">
			<location EndPos="154" StartPos="154" width="1"></location>
			<labl>Number of the family in the dwelling</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A001 ES81A002 ES81A004 ES81A016 ES81A017 ES81A018 ES81A019 ES81A020 ES81A022 ES81A023 ES81A025 ES81A026 ES81A027"&gt;&lt;div class="i1"&gt;_ _ Province&lt;br /&gt;_ _ _ Municipality&lt;br /&gt;_ _ d.c.&lt;br /&gt;_ _ District&lt;br /&gt;_ _ _ Section&lt;br /&gt;_ _ _ _ Dwelling&lt;br /&gt;_ _ _ Block&lt;br /&gt;_ Zone&lt;br /&gt;_ With other dwellings or isolated&lt;br /&gt;_ Number of families&lt;br /&gt;_ _ 1st family&lt;br /&gt;_ _ 2nd family&lt;br /&gt;_ _ 3rd family&lt;br /&gt;_ _ 4th family&lt;br /&gt;_ _ 5th family&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates the family number within the dwelling.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>An empty dwelling</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>1st familiy</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>2nd family</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>3rd family</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>4th family</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>5th family</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_HHNUMO" dcml="0" files="H" intrvl="discrete" name="ES1981A_HHNUMO">
			<location EndPos="155" StartPos="155" width="1"></location>
			<labl>Number of the family nucleus</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A001 ES81A002 ES81A004 ES81A016 ES81A017 ES81A018 ES81A019 ES81A020 ES81A022 ES81A023 ES81A025 ES81A026 ES81A027"&gt;&lt;div class="i1"&gt;_ _ Province&lt;br /&gt;_ _ _ Municipality&lt;br /&gt;_ _ d.c.&lt;br /&gt;_ _ District&lt;br /&gt;_ _ _ Section&lt;br /&gt;_ _ _ _ Dwelling&lt;br /&gt;_ _ _ Block&lt;br /&gt;_ Zone&lt;br /&gt;_ With other dwellings or isolated&lt;br /&gt;_ Number of families&lt;br /&gt;_ _ 1st family&lt;br /&gt;_ _ 2nd family&lt;br /&gt;_ _ 3rd family&lt;br /&gt;_ _ 4th family&lt;br /&gt;_ _ 5th family&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates the number of family nucleus in the household.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>1st nucleus</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>2nd nucleus</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>3rd nucleus</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>4th nucleus</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>5th nucleus</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>6th nucleus</labl>
			</catgry>
			<catgry>
				<catValu>7</catValu>
				<labl>7th nucleus</labl>
			</catgry>
			<catgry>
				<catValu>8</catValu>
				<labl>8th nucleus</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>9th nucleus or no nucleus</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_HHTYPE" dcml="0" files="H" intrvl="discrete" name="ES1981A_HHTYPE">
			<location EndPos="156" StartPos="156" width="1"></location>
			<labl>Type of nucleus</labl>
			<qstn></qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates the type of family nucleus (married vs. unmarried couples and whether children are present) in the dwelling.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Nucleus of couple without unmarried children</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Nucleus of couple with unmarried children</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Nucleus of father alone with unmarried children</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Nucleus of mother alone with unmarried children</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>No nucleus</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_ZONE" dcml="0" files="H" intrvl="discrete" name="ES1981A_ZONE">
			<location EndPos="157" StartPos="157" width="1"></location>
			<labl>Zone</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A001 ES81A002 ES81A004 ES81A016 ES81A017 ES81A018 ES81A019 ES81A020 ES81A022 ES81A023 ES81A025 ES81A026 ES81A027"&gt;&lt;div class="i1"&gt;_ _ Province&lt;br /&gt;_ _ _ Municipality&lt;br /&gt;_ _ d.c.&lt;br /&gt;_ _ District&lt;br /&gt;_ _ _ Section&lt;br /&gt;_ _ _ _ Dwelling&lt;br /&gt;_ _ _ Block&lt;br /&gt;_ Zone&lt;br /&gt;_ With other dwellings or isolated&lt;br /&gt;_ Number of families&lt;br /&gt;_ _ 1st family&lt;br /&gt;_ _ 2nd family&lt;br /&gt;_ _ 3rd family&lt;br /&gt;_ _ 4th family&lt;br /&gt;_ _ 5th family&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates whether the dwelling is located in a rural or urban zone. In the latter case, zones are classified by population size.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Rural zone (Formed by singular population entities with 2000 inhabitants or less)</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Intermediate zone (Formed by singular population entities with 2001 inhabitants to 10000 inhabitants)</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Urban zone (Formed by singular population entities with 10000 inhabitants to 50000 inhabitants)</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Urban zone (Formed by singular population entities with 50001 inhabitants to 100000 inhabitants)</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>Urban zone (Formed by singular population entities with 100001 inhabitants to 500000 inhabitants)</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>Urban zone (Formed by singular population entities with more than 500001 inhabitants)</labl>
			</catgry>
			<concept vocab="IPUMS">Geography: O-Z Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_NUCL" dcml="0" files="H" intrvl="discrete" name="ES1981A_NUCL">
			<location EndPos="158" StartPos="158" width="1"></location>
			<labl>Nucleus or non-nucleus</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A001 ES81A002 ES81A004 ES81A016 ES81A017 ES81A018 ES81A019 ES81A020 ES81A022 ES81A023 ES81A025 ES81A026 ES81A027"&gt;&lt;div class="i1"&gt;_ _ Province&lt;br /&gt;_ _ _ Municipality&lt;br /&gt;_ _ d.c.&lt;br /&gt;_ _ District&lt;br /&gt;_ _ _ Section&lt;br /&gt;_ _ _ _ Dwelling&lt;br /&gt;_ _ _ Block&lt;br /&gt;_ Zone&lt;br /&gt;_ With other dwellings or isolated&lt;br /&gt;_ Number of families&lt;br /&gt;_ _ 1st family&lt;br /&gt;_ _ 2nd family&lt;br /&gt;_ _ 3rd family&lt;br /&gt;_ _ 4th family&lt;br /&gt;_ _ 5th family&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All households</universe>
			<txt>This variable indicates whether the dwelling is located in a nucleus (i.e., group of at least ten buildings that are farmed in streets, plazas and other urban roads) or not.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Nucleus (Group of at least ten buildings that are farmed in streets, plazas and other urban roads)</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Non-nucleus (Buildings in a population center, not included in the nucleus concept)</labl>
			</catgry>
			<concept vocab="IPUMS">Other Household Variables -- HOUSEHOLD</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="PERNUM" dcml="0" files="P" intrvl="contin" name="PERNUM">
			<location EndPos="33" StartPos="30" width="4"></location>
			<labl>Person number</labl>
			<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 4-digit numeric variable.</codInstr>
			<concept vocab="IPUMS">Technical Person Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="PERWT" dcml="2" files="P" intrvl="contin" name="PERWT">
			<location EndPos="41" StartPos="34" width="8"></location>
			<labl>Person weight</labl>
			<txt>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="RESIDENT" dcml="0" files="P" intrvl="discrete" name="RESIDENT">
			<location EndPos="42" StartPos="42" width="1"></location>
			<labl>Residence status: de facto, de jure</labl>
			<txt>RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. 

De jure population: present residents and absent residents.

De facto population: present residents and visitors/non-residents.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Present resident</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Absent resident</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Visitor/non-resident</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>De facto population (present persons)</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>Unknown/missing</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Person Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="RELATE" dcml="0" files="P" intrvl="discrete" name="RELATE">
			<location EndPos="43" StartPos="43" width="1"></location>
			<labl>Relationship to household head [general version]</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="RELATED" dcml="0" files="P" intrvl="discrete" name="RELATED">
			<location EndPos="47" StartPos="44" width="4"></location>
			<labl>Relationship to household head [detailed version]</labl>
			<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>2210</catValu>
				<labl>Civil union</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's 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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ERELATE" dcml="0" files="P" intrvl="discrete" name="ERELATE">
			<location EndPos="49" StartPos="48" width="2"></location>
			<labl>Relationship to head, Europe</labl>
			<txt>ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person.

ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses.</txt>
			<catgry>
				<catValu>10</catValu>
				<labl>Reference person / Head</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Spouse or partner</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Husband or wife</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Partner in consensual union</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Child/child-in-law of head or of spouse/partner</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Spouse or partner of child of head</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Parent of head, of spouse, or of partner</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Other relative of head, spouse, or partner</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>Non-relative of head</labl>
			</catgry>
			<catgry>
				<catValu>61</catValu>
				<labl>Foster child</labl>
			</catgry>
			<catgry>
				<catValu>62</catValu>
				<labl>Boarder</labl>
			</catgry>
			<catgry>
				<catValu>63</catValu>
				<labl>Domestic servant</labl>
			</catgry>
			<catgry>
				<catValu>64</catValu>
				<labl>Other</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>Not stated / unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="AGE" dcml="0" files="P" intrvl="discrete" name="AGE">
			<location EndPos="52" StartPos="50" width="3"></location>
			<labl>Age</labl>
			<txt>AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>Less than 1 year</labl>
			</catgry>
			<catgry>
				<catValu>001</catValu>
				<labl>1 year</labl>
			</catgry>
			<catgry>
				<catValu>002</catValu>
				<labl>2 years</labl>
			</catgry>
			<catgry>
				<catValu>003</catValu>
				<labl>3</labl>
			</catgry>
			<catgry>
				<catValu>004</catValu>
				<labl>4</labl>
			</catgry>
			<catgry>
				<catValu>005</catValu>
				<labl>5</labl>
			</catgry>
			<catgry>
				<catValu>006</catValu>
				<labl>6</labl>
			</catgry>
			<catgry>
				<catValu>007</catValu>
				<labl>7</labl>
			</catgry>
			<catgry>
				<catValu>008</catValu>
				<labl>8</labl>
			</catgry>
			<catgry>
				<catValu>009</catValu>
				<labl>9</labl>
			</catgry>
			<catgry>
				<catValu>010</catValu>
				<labl>10</labl>
			</catgry>
			<catgry>
				<catValu>011</catValu>
				<labl>11</labl>
			</catgry>
			<catgry>
				<catValu>012</catValu>
				<labl>12</labl>
			</catgry>
			<catgry>
				<catValu>013</catValu>
				<labl>13</labl>
			</catgry>
			<catgry>
				<catValu>014</catValu>
				<labl>14</labl>
			</catgry>
			<catgry>
				<catValu>015</catValu>
				<labl>15</labl>
			</catgry>
			<catgry>
				<catValu>016</catValu>
				<labl>16</labl>
			</catgry>
			<catgry>
				<catValu>017</catValu>
				<labl>17</labl>
			</catgry>
			<catgry>
				<catValu>018</catValu>
				<labl>18</labl>
			</catgry>
			<catgry>
				<catValu>019</catValu>
				<labl>19</labl>
			</catgry>
			<catgry>
				<catValu>020</catValu>
				<labl>20</labl>
			</catgry>
			<catgry>
				<catValu>021</catValu>
				<labl>21</labl>
			</catgry>
			<catgry>
				<catValu>022</catValu>
				<labl>22</labl>
			</catgry>
			<catgry>
				<catValu>023</catValu>
				<labl>23</labl>
			</catgry>
			<catgry>
				<catValu>024</catValu>
				<labl>24</labl>
			</catgry>
			<catgry>
				<catValu>025</catValu>
				<labl>25</labl>
			</catgry>
			<catgry>
				<catValu>026</catValu>
				<labl>26</labl>
			</catgry>
			<catgry>
				<catValu>027</catValu>
				<labl>27</labl>
			</catgry>
			<catgry>
				<catValu>028</catValu>
				<labl>28</labl>
			</catgry>
			<catgry>
				<catValu>029</catValu>
				<labl>29</labl>
			</catgry>
			<catgry>
				<catValu>030</catValu>
				<labl>30</labl>
			</catgry>
			<catgry>
				<catValu>031</catValu>
				<labl>31</labl>
			</catgry>
			<catgry>
				<catValu>032</catValu>
				<labl>32</labl>
			</catgry>
			<catgry>
				<catValu>033</catValu>
				<labl>33</labl>
			</catgry>
			<catgry>
				<catValu>034</catValu>
				<labl>34</labl>
			</catgry>
			<catgry>
				<catValu>035</catValu>
				<labl>35</labl>
			</catgry>
			<catgry>
				<catValu>036</catValu>
				<labl>36</labl>
			</catgry>
			<catgry>
				<catValu>037</catValu>
				<labl>37</labl>
			</catgry>
			<catgry>
				<catValu>038</catValu>
				<labl>38</labl>
			</catgry>
			<catgry>
				<catValu>039</catValu>
				<labl>39</labl>
			</catgry>
			<catgry>
				<catValu>040</catValu>
				<labl>40</labl>
			</catgry>
			<catgry>
				<catValu>041</catValu>
				<labl>41</labl>
			</catgry>
			<catgry>
				<catValu>042</catValu>
				<labl>42</labl>
			</catgry>
			<catgry>
				<catValu>043</catValu>
				<labl>43</labl>
			</catgry>
			<catgry>
				<catValu>044</catValu>
				<labl>44</labl>
			</catgry>
			<catgry>
				<catValu>045</catValu>
				<labl>45</labl>
			</catgry>
			<catgry>
				<catValu>046</catValu>
				<labl>46</labl>
			</catgry>
			<catgry>
				<catValu>047</catValu>
				<labl>47</labl>
			</catgry>
			<catgry>
				<catValu>048</catValu>
				<labl>48</labl>
			</catgry>
			<catgry>
				<catValu>049</catValu>
				<labl>49</labl>
			</catgry>
			<catgry>
				<catValu>050</catValu>
				<labl>50</labl>
			</catgry>
			<catgry>
				<catValu>051</catValu>
				<labl>51</labl>
			</catgry>
			<catgry>
				<catValu>052</catValu>
				<labl>52</labl>
			</catgry>
			<catgry>
				<catValu>053</catValu>
				<labl>53</labl>
			</catgry>
			<catgry>
				<catValu>054</catValu>
				<labl>54</labl>
			</catgry>
			<catgry>
				<catValu>055</catValu>
				<labl>55</labl>
			</catgry>
			<catgry>
				<catValu>056</catValu>
				<labl>56</labl>
			</catgry>
			<catgry>
				<catValu>057</catValu>
				<labl>57</labl>
			</catgry>
			<catgry>
				<catValu>058</catValu>
				<labl>58</labl>
			</catgry>
			<catgry>
				<catValu>059</catValu>
				<labl>59</labl>
			</catgry>
			<catgry>
				<catValu>060</catValu>
				<labl>60</labl>
			</catgry>
			<catgry>
				<catValu>061</catValu>
				<labl>61</labl>
			</catgry>
			<catgry>
				<catValu>062</catValu>
				<labl>62</labl>
			</catgry>
			<catgry>
				<catValu>063</catValu>
				<labl>63</labl>
			</catgry>
			<catgry>
				<catValu>064</catValu>
				<labl>64</labl>
			</catgry>
			<catgry>
				<catValu>065</catValu>
				<labl>65</labl>
			</catgry>
			<catgry>
				<catValu>066</catValu>
				<labl>66</labl>
			</catgry>
			<catgry>
				<catValu>067</catValu>
				<labl>67</labl>
			</catgry>
			<catgry>
				<catValu>068</catValu>
				<labl>68</labl>
			</catgry>
			<catgry>
				<catValu>069</catValu>
				<labl>69</labl>
			</catgry>
			<catgry>
				<catValu>070</catValu>
				<labl>70</labl>
			</catgry>
			<catgry>
				<catValu>071</catValu>
				<labl>71</labl>
			</catgry>
			<catgry>
				<catValu>072</catValu>
				<labl>72</labl>
			</catgry>
			<catgry>
				<catValu>073</catValu>
				<labl>73</labl>
			</catgry>
			<catgry>
				<catValu>074</catValu>
				<labl>74</labl>
			</catgry>
			<catgry>
				<catValu>075</catValu>
				<labl>75</labl>
			</catgry>
			<catgry>
				<catValu>076</catValu>
				<labl>76</labl>
			</catgry>
			<catgry>
				<catValu>077</catValu>
				<labl>77</labl>
			</catgry>
			<catgry>
				<catValu>078</catValu>
				<labl>78</labl>
			</catgry>
			<catgry>
				<catValu>079</catValu>
				<labl>79</labl>
			</catgry>
			<catgry>
				<catValu>080</catValu>
				<labl>80</labl>
			</catgry>
			<catgry>
				<catValu>081</catValu>
				<labl>81</labl>
			</catgry>
			<catgry>
				<catValu>082</catValu>
				<labl>82</labl>
			</catgry>
			<catgry>
				<catValu>083</catValu>
				<labl>83</labl>
			</catgry>
			<catgry>
				<catValu>084</catValu>
				<labl>84</labl>
			</catgry>
			<catgry>
				<catValu>085</catValu>
				<labl>85</labl>
			</catgry>
			<catgry>
				<catValu>086</catValu>
				<labl>86</labl>
			</catgry>
			<catgry>
				<catValu>087</catValu>
				<labl>87</labl>
			</catgry>
			<catgry>
				<catValu>088</catValu>
				<labl>88</labl>
			</catgry>
			<catgry>
				<catValu>089</catValu>
				<labl>89</labl>
			</catgry>
			<catgry>
				<catValu>090</catValu>
				<labl>90</labl>
			</catgry>
			<catgry>
				<catValu>091</catValu>
				<labl>91</labl>
			</catgry>
			<catgry>
				<catValu>092</catValu>
				<labl>92</labl>
			</catgry>
			<catgry>
				<catValu>093</catValu>
				<labl>93</labl>
			</catgry>
			<catgry>
				<catValu>094</catValu>
				<labl>94</labl>
			</catgry>
			<catgry>
				<catValu>095</catValu>
				<labl>95</labl>
			</catgry>
			<catgry>
				<catValu>096</catValu>
				<labl>96</labl>
			</catgry>
			<catgry>
				<catValu>097</catValu>
				<labl>97</labl>
			</catgry>
			<catgry>
				<catValu>098</catValu>
				<labl>98</labl>
			</catgry>
			<catgry>
				<catValu>099</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="AGE2" dcml="0" files="P" intrvl="discrete" name="AGE2">
			<location EndPos="54" StartPos="53" width="2"></location>
			<labl>Age, grouped into intervals</labl>
			<txt>AGE2 gives computed years of age grouped into intervals.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>0 to 4</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>5 to 9</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>10 to 14</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>15 to 19</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>0 to 5</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>6 to 10</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>10 to 15</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>11 to 14</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>15 to 17</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>16 to 19</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>18 to 24</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>20 to 24</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>25 to 29</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>30 to 34</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>35 to 39</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>40 to 44</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>45 to 49</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>50 to 54</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>55 to 59</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>60 to 64</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>65 to 69</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>70 to 74</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>75 to 79</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>80 to 84</labl>
			</catgry>
			<catgry>
				<catValu>25</catValu>
				<labl>85+</labl>
			</catgry>
			<catgry>
				<catValu>98</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="SEX" dcml="0" files="P" intrvl="discrete" name="SEX">
			<location EndPos="55" StartPos="55" width="1"></location>
			<labl>Sex</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MARST" dcml="0" files="P" intrvl="discrete" name="MARST">
			<location EndPos="56" StartPos="56" width="1"></location>
			<labl>Marital status [general version]</labl>
			<txt>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MARSTD" dcml="0" files="P" intrvl="discrete" name="MARSTD">
			<location EndPos="59" StartPos="57" width="3"></location>
			<labl>Marital status [detailed version]</labl>
			<txt>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>000</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>219</catValu>
				<labl>Married, spouse absent (historical samples)</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>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EMARST" dcml="0" files="P" intrvl="discrete" name="EMARST">
			<location EndPos="60" StartPos="60" width="1"></location>
			<labl>Marital status, Europe</labl>
			<txt>EMARST describes for the European samples the person's current marital status according to law or custom.  Individuals who remarried should report the status relevant to their most recent marriage.  European census instructions generally limit marital status to legal unions, but there are exceptions.

EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>Never married</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Married</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Widowed and not remarried</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Divorced/separated and not remarried</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>Widowed or divorced</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>Unknown / missing</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="AGEMARR" dcml="0" files="P" intrvl="discrete" name="AGEMARR">
			<location EndPos="62" StartPos="61" width="2"></location>
			<labl>Age at first marriage or union</labl>
			<txt>AGEMARR indicates the person's age at first marriage or consensual union.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>10 or younger</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>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MARRYR" dcml="0" files="P" intrvl="discrete" name="MARRYR">
			<location EndPos="66" StartPos="63" width="4"></location>
			<labl>Year of first marriage</labl>
			<txt>MARRYR reports the year of first marriage.</txt>
			<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>2014</catValu>
				<labl>2014</labl>
			</catgry>
			<catgry>
				<catValu>2015</catValu>
				<labl>2015</labl>
			</catgry>
			<catgry>
				<catValu>2016</catValu>
				<labl>2016</labl>
			</catgry>
			<catgry>
				<catValu>2017</catValu>
				<labl>2017</labl>
			</catgry>
			<catgry>
				<catValu>2018</catValu>
				<labl>2018</labl>
			</catgry>
			<catgry>
				<catValu>2019</catValu>
				<labl>2019</labl>
			</catgry>
			<catgry>
				<catValu>2020</catValu>
				<labl>2020</labl>
			</catgry>
			<catgry>
				<catValu>9998</catValu>
				<labl>Unknown</labl>
			</catgry>
			<catgry>
				<catValu>9999</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="BIRTHYR" dcml="0" files="P" intrvl="discrete" name="BIRTHYR">
			<location EndPos="70" StartPos="67" width="4"></location>
			<labl>Year of birth</labl>
			<txt>BIRTHYR gives the person's year of birth.</txt>
			<catgry>
				<catValu>0000</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>1628</catValu>
				<labl>1628</labl>
			</catgry>
			<catgry>
				<catValu>1629</catValu>
				<labl>1629</labl>
			</catgry>
			<catgry>
				<catValu>1630</catValu>
				<labl>1630</labl>
			</catgry>
			<catgry>
				<catValu>1631</catValu>
				<labl>1631</labl>
			</catgry>
			<catgry>
				<catValu>1634</catValu>
				<labl>1634</labl>
			</catgry>
			<catgry>
				<catValu>1635</catValu>
				<labl>1635</labl>
			</catgry>
			<catgry>
				<catValu>1636</catValu>
				<labl>1636</labl>
			</catgry>
			<catgry>
				<catValu>1637</catValu>
				<labl>1637</labl>
			</catgry>
			<catgry>
				<catValu>1638</catValu>
				<labl>1638</labl>
			</catgry>
			<catgry>
				<catValu>1639</catValu>
				<labl>1639</labl>
			</catgry>
			<catgry>
				<catValu>1640</catValu>
				<labl>1640</labl>
			</catgry>
			<catgry>
				<catValu>1641</catValu>
				<labl>1641</labl>
			</catgry>
			<catgry>
				<catValu>1642</catValu>
				<labl>1642</labl>
			</catgry>
			<catgry>
				<catValu>1643</catValu>
				<labl>1643</labl>
			</catgry>
			<catgry>
				<catValu>1644</catValu>
				<labl>1644</labl>
			</catgry>
			<catgry>
				<catValu>1645</catValu>
				<labl>1645</labl>
			</catgry>
			<catgry>
				<catValu>1646</catValu>
				<labl>1646</labl>
			</catgry>
			<catgry>
				<catValu>1647</catValu>
				<labl>1647</labl>
			</catgry>
			<catgry>
				<catValu>1648</catValu>
				<labl>1648</labl>
			</catgry>
			<catgry>
				<catValu>1649</catValu>
				<labl>1649</labl>
			</catgry>
			<catgry>
				<catValu>1650</catValu>
				<labl>1650</labl>
			</catgry>
			<catgry>
				<catValu>1651</catValu>
				<labl>1651</labl>
			</catgry>
			<catgry>
				<catValu>1652</catValu>
				<labl>1652</labl>
			</catgry>
			<catgry>
				<catValu>1653</catValu>
				<labl>1653</labl>
			</catgry>
			<catgry>
				<catValu>1654</catValu>
				<labl>1654</labl>
			</catgry>
			<catgry>
				<catValu>1655</catValu>
				<labl>1655</labl>
			</catgry>
			<catgry>
				<catValu>1656</catValu>
				<labl>1656</labl>
			</catgry>
			<catgry>
				<catValu>1657</catValu>
				<labl>1657</labl>
			</catgry>
			<catgry>
				<catValu>1658</catValu>
				<labl>1658</labl>
			</catgry>
			<catgry>
				<catValu>1659</catValu>
				<labl>1659</labl>
			</catgry>
			<catgry>
				<catValu>1660</catValu>
				<labl>1660</labl>
			</catgry>
			<catgry>
				<catValu>1661</catValu>
				<labl>1661</labl>
			</catgry>
			<catgry>
				<catValu>1662</catValu>
				<labl>1662</labl>
			</catgry>
			<catgry>
				<catValu>1663</catValu>
				<labl>1663</labl>
			</catgry>
			<catgry>
				<catValu>1664</catValu>
				<labl>1664</labl>
			</catgry>
			<catgry>
				<catValu>1665</catValu>
				<labl>1665</labl>
			</catgry>
			<catgry>
				<catValu>1666</catValu>
				<labl>1666</labl>
			</catgry>
			<catgry>
				<catValu>1667</catValu>
				<labl>1667</labl>
			</catgry>
			<catgry>
				<catValu>1668</catValu>
				<labl>1668</labl>
			</catgry>
			<catgry>
				<catValu>1669</catValu>
				<labl>1669</labl>
			</catgry>
			<catgry>
				<catValu>1670</catValu>
				<labl>1670</labl>
			</catgry>
			<catgry>
				<catValu>1671</catValu>
				<labl>1671</labl>
			</catgry>
			<catgry>
				<catValu>1672</catValu>
				<labl>1672</labl>
			</catgry>
			<catgry>
				<catValu>1673</catValu>
				<labl>1673</labl>
			</catgry>
			<catgry>
				<catValu>1674</catValu>
				<labl>1674</labl>
			</catgry>
			<catgry>
				<catValu>1675</catValu>
				<labl>1675</labl>
			</catgry>
			<catgry>
				<catValu>1676</catValu>
				<labl>1676</labl>
			</catgry>
			<catgry>
				<catValu>1677</catValu>
				<labl>1677</labl>
			</catgry>
			<catgry>
				<catValu>1678</catValu>
				<labl>1678</labl>
			</catgry>
			<catgry>
				<catValu>1679</catValu>
				<labl>1679</labl>
			</catgry>
			<catgry>
				<catValu>1680</catValu>
				<labl>1680</labl>
			</catgry>
			<catgry>
				<catValu>1681</catValu>
				<labl>1681</labl>
			</catgry>
			<catgry>
				<catValu>1682</catValu>
				<labl>1682</labl>
			</catgry>
			<catgry>
				<catValu>1683</catValu>
				<labl>1683</labl>
			</catgry>
			<catgry>
				<catValu>1684</catValu>
				<labl>1684</labl>
			</catgry>
			<catgry>
				<catValu>1685</catValu>
				<labl>1685</labl>
			</catgry>
			<catgry>
				<catValu>1686</catValu>
				<labl>1686</labl>
			</catgry>
			<catgry>
				<catValu>1687</catValu>
				<labl>1687</labl>
			</catgry>
			<catgry>
				<catValu>1688</catValu>
				<labl>1688</labl>
			</catgry>
			<catgry>
				<catValu>1689</catValu>
				<labl>1689</labl>
			</catgry>
			<catgry>
				<catValu>1690</catValu>
				<labl>1690</labl>
			</catgry>
			<catgry>
				<catValu>1691</catValu>
				<labl>1691</labl>
			</catgry>
			<catgry>
				<catValu>1692</catValu>
				<labl>1692</labl>
			</catgry>
			<catgry>
				<catValu>1693</catValu>
				<labl>1693</labl>
			</catgry>
			<catgry>
				<catValu>1694</catValu>
				<labl>1694</labl>
			</catgry>
			<catgry>
				<catValu>1695</catValu>
				<labl>1695</labl>
			</catgry>
			<catgry>
				<catValu>1696</catValu>
				<labl>1696</labl>
			</catgry>
			<catgry>
				<catValu>1697</catValu>
				<labl>1697</labl>
			</catgry>
			<catgry>
				<catValu>1698</catValu>
				<labl>1698</labl>
			</catgry>
			<catgry>
				<catValu>1699</catValu>
				<labl>1699</labl>
			</catgry>
			<catgry>
				<catValu>1700</catValu>
				<labl>1700</labl>
			</catgry>
			<catgry>
				<catValu>1701</catValu>
				<labl>1701</labl>
			</catgry>
			<catgry>
				<catValu>1702</catValu>
				<labl>1702</labl>
			</catgry>
			<catgry>
				<catValu>1703</catValu>
				<labl>1703</labl>
			</catgry>
			<catgry>
				<catValu>1704</catValu>
				<labl>1704</labl>
			</catgry>
			<catgry>
				<catValu>1705</catValu>
				<labl>1705</labl>
			</catgry>
			<catgry>
				<catValu>1706</catValu>
				<labl>1706</labl>
			</catgry>
			<catgry>
				<catValu>1707</catValu>
				<labl>1707</labl>
			</catgry>
			<catgry>
				<catValu>1708</catValu>
				<labl>1708</labl>
			</catgry>
			<catgry>
				<catValu>1709</catValu>
				<labl>1709</labl>
			</catgry>
			<catgry>
				<catValu>1710</catValu>
				<labl>1710</labl>
			</catgry>
			<catgry>
				<catValu>1711</catValu>
				<labl>1711</labl>
			</catgry>
			<catgry>
				<catValu>1712</catValu>
				<labl>1712</labl>
			</catgry>
			<catgry>
				<catValu>1713</catValu>
				<labl>1713</labl>
			</catgry>
			<catgry>
				<catValu>1714</catValu>
				<labl>1714</labl>
			</catgry>
			<catgry>
				<catValu>1715</catValu>
				<labl>1715</labl>
			</catgry>
			<catgry>
				<catValu>1716</catValu>
				<labl>1716</labl>
			</catgry>
			<catgry>
				<catValu>1717</catValu>
				<labl>1717</labl>
			</catgry>
			<catgry>
				<catValu>1718</catValu>
				<labl>1718</labl>
			</catgry>
			<catgry>
				<catValu>1719</catValu>
				<labl>1719</labl>
			</catgry>
			<catgry>
				<catValu>1720</catValu>
				<labl>1720</labl>
			</catgry>
			<catgry>
				<catValu>1721</catValu>
				<labl>1721</labl>
			</catgry>
			<catgry>
				<catValu>1722</catValu>
				<labl>1722</labl>
			</catgry>
			<catgry>
				<catValu>1723</catValu>
				<labl>1723</labl>
			</catgry>
			<catgry>
				<catValu>1724</catValu>
				<labl>1724</labl>
			</catgry>
			<catgry>
				<catValu>1725</catValu>
				<labl>1725</labl>
			</catgry>
			<catgry>
				<catValu>1726</catValu>
				<labl>1726</labl>
			</catgry>
			<catgry>
				<catValu>1727</catValu>
				<labl>1727</labl>
			</catgry>
			<catgry>
				<catValu>1728</catValu>
				<labl>1728</labl>
			</catgry>
			<catgry>
				<catValu>1729</catValu>
				<labl>1729</labl>
			</catgry>
			<catgry>
				<catValu>1730</catValu>
				<labl>1730</labl>
			</catgry>
			<catgry>
				<catValu>1731</catValu>
				<labl>1731</labl>
			</catgry>
			<catgry>
				<catValu>1732</catValu>
				<labl>1732</labl>
			</catgry>
			<catgry>
				<catValu>1733</catValu>
				<labl>1733</labl>
			</catgry>
			<catgry>
				<catValu>1734</catValu>
				<labl>1734</labl>
			</catgry>
			<catgry>
				<catValu>1735</catValu>
				<labl>1735</labl>
			</catgry>
			<catgry>
				<catValu>1736</catValu>
				<labl>1736</labl>
			</catgry>
			<catgry>
				<catValu>1737</catValu>
				<labl>1737</labl>
			</catgry>
			<catgry>
				<catValu>1738</catValu>
				<labl>1738</labl>
			</catgry>
			<catgry>
				<catValu>1739</catValu>
				<labl>1739</labl>
			</catgry>
			<catgry>
				<catValu>1740</catValu>
				<labl>1740</labl>
			</catgry>
			<catgry>
				<catValu>1741</catValu>
				<labl>1741</labl>
			</catgry>
			<catgry>
				<catValu>1742</catValu>
				<labl>1742</labl>
			</catgry>
			<catgry>
				<catValu>1743</catValu>
				<labl>1743</labl>
			</catgry>
			<catgry>
				<catValu>1744</catValu>
				<labl>1744</labl>
			</catgry>
			<catgry>
				<catValu>1745</catValu>
				<labl>1745</labl>
			</catgry>
			<catgry>
				<catValu>1746</catValu>
				<labl>1746</labl>
			</catgry>
			<catgry>
				<catValu>1747</catValu>
				<labl>1747</labl>
			</catgry>
			<catgry>
				<catValu>1748</catValu>
				<labl>1748</labl>
			</catgry>
			<catgry>
				<catValu>1749</catValu>
				<labl>1749</labl>
			</catgry>
			<catgry>
				<catValu>1750</catValu>
				<labl>1750</labl>
			</catgry>
			<catgry>
				<catValu>1751</catValu>
				<labl>1751</labl>
			</catgry>
			<catgry>
				<catValu>1752</catValu>
				<labl>1752</labl>
			</catgry>
			<catgry>
				<catValu>1753</catValu>
				<labl>1753</labl>
			</catgry>
			<catgry>
				<catValu>1754</catValu>
				<labl>1754</labl>
			</catgry>
			<catgry>
				<catValu>1755</catValu>
				<labl>1755</labl>
			</catgry>
			<catgry>
				<catValu>1756</catValu>
				<labl>1756</labl>
			</catgry>
			<catgry>
				<catValu>1757</catValu>
				<labl>1757</labl>
			</catgry>
			<catgry>
				<catValu>1758</catValu>
				<labl>1758</labl>
			</catgry>
			<catgry>
				<catValu>1759</catValu>
				<labl>1759</labl>
			</catgry>
			<catgry>
				<catValu>1760</catValu>
				<labl>1760</labl>
			</catgry>
			<catgry>
				<catValu>1761</catValu>
				<labl>1761</labl>
			</catgry>
			<catgry>
				<catValu>1762</catValu>
				<labl>1762</labl>
			</catgry>
			<catgry>
				<catValu>1763</catValu>
				<labl>1763</labl>
			</catgry>
			<catgry>
				<catValu>1764</catValu>
				<labl>1764</labl>
			</catgry>
			<catgry>
				<catValu>1765</catValu>
				<labl>1765</labl>
			</catgry>
			<catgry>
				<catValu>1766</catValu>
				<labl>1766</labl>
			</catgry>
			<catgry>
				<catValu>1767</catValu>
				<labl>1767</labl>
			</catgry>
			<catgry>
				<catValu>1768</catValu>
				<labl>1768</labl>
			</catgry>
			<catgry>
				<catValu>1769</catValu>
				<labl>1769</labl>
			</catgry>
			<catgry>
				<catValu>1770</catValu>
				<labl>1770</labl>
			</catgry>
			<catgry>
				<catValu>1771</catValu>
				<labl>1771</labl>
			</catgry>
			<catgry>
				<catValu>1772</catValu>
				<labl>1772</labl>
			</catgry>
			<catgry>
				<catValu>1773</catValu>
				<labl>1773</labl>
			</catgry>
			<catgry>
				<catValu>1774</catValu>
				<labl>1774</labl>
			</catgry>
			<catgry>
				<catValu>1775</catValu>
				<labl>1775</labl>
			</catgry>
			<catgry>
				<catValu>1776</catValu>
				<labl>1776</labl>
			</catgry>
			<catgry>
				<catValu>1777</catValu>
				<labl>1777</labl>
			</catgry>
			<catgry>
				<catValu>1778</catValu>
				<labl>1778</labl>
			</catgry>
			<catgry>
				<catValu>1779</catValu>
				<labl>1779</labl>
			</catgry>
			<catgry>
				<catValu>1780</catValu>
				<labl>1780</labl>
			</catgry>
			<catgry>
				<catValu>1781</catValu>
				<labl>1781</labl>
			</catgry>
			<catgry>
				<catValu>1782</catValu>
				<labl>1782</labl>
			</catgry>
			<catgry>
				<catValu>1783</catValu>
				<labl>1783</labl>
			</catgry>
			<catgry>
				<catValu>1784</catValu>
				<labl>1784</labl>
			</catgry>
			<catgry>
				<catValu>1785</catValu>
				<labl>1785</labl>
			</catgry>
			<catgry>
				<catValu>1786</catValu>
				<labl>1786</labl>
			</catgry>
			<catgry>
				<catValu>1787</catValu>
				<labl>1787</labl>
			</catgry>
			<catgry>
				<catValu>1788</catValu>
				<labl>1788</labl>
			</catgry>
			<catgry>
				<catValu>1789</catValu>
				<labl>1789</labl>
			</catgry>
			<catgry>
				<catValu>1790</catValu>
				<labl>1790</labl>
			</catgry>
			<catgry>
				<catValu>1791</catValu>
				<labl>1791</labl>
			</catgry>
			<catgry>
				<catValu>1792</catValu>
				<labl>1792</labl>
			</catgry>
			<catgry>
				<catValu>1793</catValu>
				<labl>1793</labl>
			</catgry>
			<catgry>
				<catValu>1794</catValu>
				<labl>1794</labl>
			</catgry>
			<catgry>
				<catValu>1795</catValu>
				<labl>1795</labl>
			</catgry>
			<catgry>
				<catValu>1796</catValu>
				<labl>1796</labl>
			</catgry>
			<catgry>
				<catValu>1797</catValu>
				<labl>1797</labl>
			</catgry>
			<catgry>
				<catValu>1798</catValu>
				<labl>1798</labl>
			</catgry>
			<catgry>
				<catValu>1799</catValu>
				<labl>1799</labl>
			</catgry>
			<catgry>
				<catValu>1800</catValu>
				<labl>1800</labl>
			</catgry>
			<catgry>
				<catValu>1801</catValu>
				<labl>1801</labl>
			</catgry>
			<catgry>
				<catValu>1802</catValu>
				<labl>1802</labl>
			</catgry>
			<catgry>
				<catValu>1803</catValu>
				<labl>1803</labl>
			</catgry>
			<catgry>
				<catValu>1804</catValu>
				<labl>1804</labl>
			</catgry>
			<catgry>
				<catValu>1805</catValu>
				<labl>1805</labl>
			</catgry>
			<catgry>
				<catValu>1806</catValu>
				<labl>1806</labl>
			</catgry>
			<catgry>
				<catValu>1807</catValu>
				<labl>1807</labl>
			</catgry>
			<catgry>
				<catValu>1808</catValu>
				<labl>1808</labl>
			</catgry>
			<catgry>
				<catValu>1809</catValu>
				<labl>1809</labl>
			</catgry>
			<catgry>
				<catValu>1810</catValu>
				<labl>1810</labl>
			</catgry>
			<catgry>
				<catValu>1811</catValu>
				<labl>1811</labl>
			</catgry>
			<catgry>
				<catValu>1812</catValu>
				<labl>1812</labl>
			</catgry>
			<catgry>
				<catValu>1813</catValu>
				<labl>1813</labl>
			</catgry>
			<catgry>
				<catValu>1814</catValu>
				<labl>1814</labl>
			</catgry>
			<catgry>
				<catValu>1815</catValu>
				<labl>1815</labl>
			</catgry>
			<catgry>
				<catValu>1816</catValu>
				<labl>1816</labl>
			</catgry>
			<catgry>
				<catValu>1817</catValu>
				<labl>1817</labl>
			</catgry>
			<catgry>
				<catValu>1818</catValu>
				<labl>1818</labl>
			</catgry>
			<catgry>
				<catValu>1819</catValu>
				<labl>1819</labl>
			</catgry>
			<catgry>
				<catValu>1820</catValu>
				<labl>1820</labl>
			</catgry>
			<catgry>
				<catValu>1821</catValu>
				<labl>1821</labl>
			</catgry>
			<catgry>
				<catValu>1822</catValu>
				<labl>1822</labl>
			</catgry>
			<catgry>
				<catValu>1823</catValu>
				<labl>1823</labl>
			</catgry>
			<catgry>
				<catValu>1824</catValu>
				<labl>1824</labl>
			</catgry>
			<catgry>
				<catValu>1825</catValu>
				<labl>1825</labl>
			</catgry>
			<catgry>
				<catValu>1826</catValu>
				<labl>1826</labl>
			</catgry>
			<catgry>
				<catValu>1827</catValu>
				<labl>1827</labl>
			</catgry>
			<catgry>
				<catValu>1828</catValu>
				<labl>1828</labl>
			</catgry>
			<catgry>
				<catValu>1829</catValu>
				<labl>1829</labl>
			</catgry>
			<catgry>
				<catValu>1830</catValu>
				<labl>1830</labl>
			</catgry>
			<catgry>
				<catValu>1831</catValu>
				<labl>1831</labl>
			</catgry>
			<catgry>
				<catValu>1832</catValu>
				<labl>1832</labl>
			</catgry>
			<catgry>
				<catValu>1833</catValu>
				<labl>1833</labl>
			</catgry>
			<catgry>
				<catValu>1834</catValu>
				<labl>1834</labl>
			</catgry>
			<catgry>
				<catValu>1835</catValu>
				<labl>1835</labl>
			</catgry>
			<catgry>
				<catValu>1836</catValu>
				<labl>1836</labl>
			</catgry>
			<catgry>
				<catValu>1837</catValu>
				<labl>1837</labl>
			</catgry>
			<catgry>
				<catValu>1838</catValu>
				<labl>1838</labl>
			</catgry>
			<catgry>
				<catValu>1839</catValu>
				<labl>1839</labl>
			</catgry>
			<catgry>
				<catValu>1840</catValu>
				<labl>1840</labl>
			</catgry>
			<catgry>
				<catValu>1841</catValu>
				<labl>1841</labl>
			</catgry>
			<catgry>
				<catValu>1842</catValu>
				<labl>1842</labl>
			</catgry>
			<catgry>
				<catValu>1843</catValu>
				<labl>1843</labl>
			</catgry>
			<catgry>
				<catValu>1844</catValu>
				<labl>1844</labl>
			</catgry>
			<catgry>
				<catValu>1845</catValu>
				<labl>1845</labl>
			</catgry>
			<catgry>
				<catValu>1846</catValu>
				<labl>1846</labl>
			</catgry>
			<catgry>
				<catValu>1847</catValu>
				<labl>1847</labl>
			</catgry>
			<catgry>
				<catValu>1848</catValu>
				<labl>1848</labl>
			</catgry>
			<catgry>
				<catValu>1849</catValu>
				<labl>1849</labl>
			</catgry>
			<catgry>
				<catValu>1850</catValu>
				<labl>1850</labl>
			</catgry>
			<catgry>
				<catValu>1851</catValu>
				<labl>1851</labl>
			</catgry>
			<catgry>
				<catValu>1852</catValu>
				<labl>1852</labl>
			</catgry>
			<catgry>
				<catValu>1853</catValu>
				<labl>1853</labl>
			</catgry>
			<catgry>
				<catValu>1854</catValu>
				<labl>1854</labl>
			</catgry>
			<catgry>
				<catValu>1855</catValu>
				<labl>1855</labl>
			</catgry>
			<catgry>
				<catValu>1856</catValu>
				<labl>1856</labl>
			</catgry>
			<catgry>
				<catValu>1857</catValu>
				<labl>1857</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>2014</catValu>
				<labl>2014</labl>
			</catgry>
			<catgry>
				<catValu>2015</catValu>
				<labl>2015</labl>
			</catgry>
			<catgry>
				<catValu>2016</catValu>
				<labl>2016</labl>
			</catgry>
			<catgry>
				<catValu>2017</catValu>
				<labl>2017</labl>
			</catgry>
			<catgry>
				<catValu>2018</catValu>
				<labl>2018</labl>
			</catgry>
			<catgry>
				<catValu>2019</catValu>
				<labl>2019</labl>
			</catgry>
			<catgry>
				<catValu>2020</catValu>
				<labl>2020</labl>
			</catgry>
			<catgry>
				<catValu>9999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="BIRTHMO" dcml="0" files="P" intrvl="discrete" name="BIRTHMO">
			<location EndPos="72" StartPos="71" width="2"></location>
			<labl>Month of birth</labl>
			<txt>BIRTHMO indicates the person's month of birth.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>January</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>February</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>March</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>April</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>May</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>June</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>July</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>August</labl>
			</catgry>
			<catgry>
				<catValu>09</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="CHBORN" dcml="0" files="P" intrvl="discrete" name="CHBORN">
			<location EndPos="74" StartPos="73" width="2"></location>
			<labl>Children ever born</labl>
			<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>00</catValu>
				<labl>No children</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>1 child</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>2 children</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>3</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>4</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>5</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>6</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>7</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>8</labl>
			</catgry>
			<catgry>
				<catValu>09</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="NATIVITY" dcml="0" files="P" intrvl="discrete" name="NATIVITY">
			<location EndPos="75" StartPos="75" width="1"></location>
			<labl>Nativity status</labl>
			<txt>NATIVITY indicates whether the person was native-born or foreign-born.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>NIU (not in 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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="BPLCOUNTRY" dcml="0" files="P" intrvl="discrete" name="BPLCOUNTRY">
			<location EndPos="80" StartPos="76" width="5"></location>
			<labl>Country of birth</labl>
			<txt>BPLCOUNTRY indicates the person's country of birth.</txt>
			<catgry>
				<catValu>00000</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>11005</catValu>
				<labl>British Indian Ocean Territory</labl>
			</catgry>
			<catgry>
				<catValu>11010</catValu>
				<labl>Burundi</labl>
			</catgry>
			<catgry>
				<catValu>11020</catValu>
				<labl>Comoros</labl>
			</catgry>
			<catgry>
				<catValu>11030</catValu>
				<labl>Djibouti</labl>
			</catgry>
			<catgry>
				<catValu>11040</catValu>
				<labl>Eritrea</labl>
			</catgry>
			<catgry>
				<catValu>11050</catValu>
				<labl>Ethiopia</labl>
			</catgry>
			<catgry>
				<catValu>11051</catValu>
				<labl>Ethiopia (including Eritrea)</labl>
			</catgry>
			<catgry>
				<catValu>11060</catValu>
				<labl>Kenya</labl>
			</catgry>
			<catgry>
				<catValu>11070</catValu>
				<labl>Madagascar</labl>
			</catgry>
			<catgry>
				<catValu>11080</catValu>
				<labl>Malawi</labl>
			</catgry>
			<catgry>
				<catValu>11090</catValu>
				<labl>Mauritius</labl>
			</catgry>
			<catgry>
				<catValu>11100</catValu>
				<labl>Mozambique</labl>
			</catgry>
			<catgry>
				<catValu>11110</catValu>
				<labl>Reunion</labl>
			</catgry>
			<catgry>
				<catValu>11120</catValu>
				<labl>Rwanda</labl>
			</catgry>
			<catgry>
				<catValu>11130</catValu>
				<labl>Seychelles</labl>
			</catgry>
			<catgry>
				<catValu>11140</catValu>
				<labl>Somalia</labl>
			</catgry>
			<catgry>
				<catValu>11150</catValu>
				<labl>South Sudan</labl>
			</catgry>
			<catgry>
				<catValu>11160</catValu>
				<labl>Uganda</labl>
			</catgry>
			<catgry>
				<catValu>11170</catValu>
				<labl>Tanzania</labl>
			</catgry>
			<catgry>
				<catValu>11180</catValu>
				<labl>Zambia</labl>
			</catgry>
			<catgry>
				<catValu>11190</catValu>
				<labl>Zimbabwe</labl>
			</catgry>
			<catgry>
				<catValu>11999</catValu>
				<labl>Eastern Africa, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>12000</catValu>
				<labl>Middle Africa</labl>
			</catgry>
			<catgry>
				<catValu>12010</catValu>
				<labl>Angola</labl>
			</catgry>
			<catgry>
				<catValu>12020</catValu>
				<labl>Cameroon</labl>
			</catgry>
			<catgry>
				<catValu>12030</catValu>
				<labl>Central African Republic</labl>
			</catgry>
			<catgry>
				<catValu>12040</catValu>
				<labl>Chad</labl>
			</catgry>
			<catgry>
				<catValu>12050</catValu>
				<labl>Congo (Republic of)</labl>
			</catgry>
			<catgry>
				<catValu>12060</catValu>
				<labl>Democratic Republic of Congo</labl>
			</catgry>
			<catgry>
				<catValu>12070</catValu>
				<labl>Equatorial Guinea</labl>
			</catgry>
			<catgry>
				<catValu>12080</catValu>
				<labl>Gabon</labl>
			</catgry>
			<catgry>
				<catValu>12090</catValu>
				<labl>Sao Tome and Principe</labl>
			</catgry>
			<catgry>
				<catValu>12999</catValu>
				<labl>Middle Africa, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>13000</catValu>
				<labl>Northern Africa</labl>
			</catgry>
			<catgry>
				<catValu>13010</catValu>
				<labl>Algeria</labl>
			</catgry>
			<catgry>
				<catValu>13011</catValu>
				<labl>Algeria/Tunisia</labl>
			</catgry>
			<catgry>
				<catValu>13020</catValu>
				<labl>Egypt</labl>
			</catgry>
			<catgry>
				<catValu>13021</catValu>
				<labl>Egypt/Sudan</labl>
			</catgry>
			<catgry>
				<catValu>13030</catValu>
				<labl>Libya</labl>
			</catgry>
			<catgry>
				<catValu>13040</catValu>
				<labl>Morocco</labl>
			</catgry>
			<catgry>
				<catValu>13050</catValu>
				<labl>Sudan</labl>
			</catgry>
			<catgry>
				<catValu>13060</catValu>
				<labl>Tunisia</labl>
			</catgry>
			<catgry>
				<catValu>13070</catValu>
				<labl>Western Sahara</labl>
			</catgry>
			<catgry>
				<catValu>13999</catValu>
				<labl>Northern Africa, other or 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, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>15000</catValu>
				<labl>Western Africa</labl>
			</catgry>
			<catgry>
				<catValu>15010</catValu>
				<labl>Benin</labl>
			</catgry>
			<catgry>
				<catValu>15020</catValu>
				<labl>Burkina Faso</labl>
			</catgry>
			<catgry>
				<catValu>15021</catValu>
				<labl>Upper Volta</labl>
			</catgry>
			<catgry>
				<catValu>15030</catValu>
				<labl>Cape Verde</labl>
			</catgry>
			<catgry>
				<catValu>15040</catValu>
				<labl>Ivory Coast</labl>
			</catgry>
			<catgry>
				<catValu>15050</catValu>
				<labl>Gambia</labl>
			</catgry>
			<catgry>
				<catValu>15060</catValu>
				<labl>Ghana</labl>
			</catgry>
			<catgry>
				<catValu>15070</catValu>
				<labl>Guinea</labl>
			</catgry>
			<catgry>
				<catValu>15080</catValu>
				<labl>Guinea-Bissau</labl>
			</catgry>
			<catgry>
				<catValu>15081</catValu>
				<labl>Guinea-Bissau and Cape Verde</labl>
			</catgry>
			<catgry>
				<catValu>15090</catValu>
				<labl>Liberia</labl>
			</catgry>
			<catgry>
				<catValu>15100</catValu>
				<labl>Mali</labl>
			</catgry>
			<catgry>
				<catValu>15110</catValu>
				<labl>Mauritania</labl>
			</catgry>
			<catgry>
				<catValu>15120</catValu>
				<labl>Niger</labl>
			</catgry>
			<catgry>
				<catValu>15130</catValu>
				<labl>Nigeria</labl>
			</catgry>
			<catgry>
				<catValu>15140</catValu>
				<labl>St. Helena and Ascension</labl>
			</catgry>
			<catgry>
				<catValu>15150</catValu>
				<labl>Senegal</labl>
			</catgry>
			<catgry>
				<catValu>15160</catValu>
				<labl>Sierra Leone</labl>
			</catgry>
			<catgry>
				<catValu>15170</catValu>
				<labl>Togo</labl>
			</catgry>
			<catgry>
				<catValu>15180</catValu>
				<labl>Canary Islands</labl>
			</catgry>
			<catgry>
				<catValu>15999</catValu>
				<labl>West Africa, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>19999</catValu>
				<labl>Africa, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>20000</catValu>
				<labl>Americas</labl>
			</catgry>
			<catgry>
				<catValu>21000</catValu>
				<labl>Caribbean</labl>
			</catgry>
			<catgry>
				<catValu>21010</catValu>
				<labl>Anguilla</labl>
			</catgry>
			<catgry>
				<catValu>21020</catValu>
				<labl>Antigua-Barbuda</labl>
			</catgry>
			<catgry>
				<catValu>21030</catValu>
				<labl>Aruba</labl>
			</catgry>
			<catgry>
				<catValu>21040</catValu>
				<labl>Bahamas</labl>
			</catgry>
			<catgry>
				<catValu>21050</catValu>
				<labl>Barbados</labl>
			</catgry>
			<catgry>
				<catValu>21060</catValu>
				<labl>British Virgin Islands</labl>
			</catgry>
			<catgry>
				<catValu>21070</catValu>
				<labl>Cayman Isles</labl>
			</catgry>
			<catgry>
				<catValu>21080</catValu>
				<labl>Cuba</labl>
			</catgry>
			<catgry>
				<catValu>21090</catValu>
				<labl>Dominica</labl>
			</catgry>
			<catgry>
				<catValu>21100</catValu>
				<labl>Dominican Republic</labl>
			</catgry>
			<catgry>
				<catValu>21110</catValu>
				<labl>Grenada</labl>
			</catgry>
			<catgry>
				<catValu>21120</catValu>
				<labl>Guadeloupe</labl>
			</catgry>
			<catgry>
				<catValu>21130</catValu>
				<labl>Haiti</labl>
			</catgry>
			<catgry>
				<catValu>21140</catValu>
				<labl>Jamaica</labl>
			</catgry>
			<catgry>
				<catValu>21150</catValu>
				<labl>Martinique</labl>
			</catgry>
			<catgry>
				<catValu>21160</catValu>
				<labl>Montserrat</labl>
			</catgry>
			<catgry>
				<catValu>21170</catValu>
				<labl>Netherlands Antilles</labl>
			</catgry>
			<catgry>
				<catValu>21180</catValu>
				<labl>Puerto Rico</labl>
			</catgry>
			<catgry>
				<catValu>21190</catValu>
				<labl>St. Kitts-Nevis</labl>
			</catgry>
			<catgry>
				<catValu>21200</catValu>
				<labl>St. Croix</labl>
			</catgry>
			<catgry>
				<catValu>21210</catValu>
				<labl>St. John</labl>
			</catgry>
			<catgry>
				<catValu>21220</catValu>
				<labl>St. Lucia</labl>
			</catgry>
			<catgry>
				<catValu>21230</catValu>
				<labl>St Thomas</labl>
			</catgry>
			<catgry>
				<catValu>21240</catValu>
				<labl>St. Vincent</labl>
			</catgry>
			<catgry>
				<catValu>21250</catValu>
				<labl>Trinidad and Tobago</labl>
			</catgry>
			<catgry>
				<catValu>21260</catValu>
				<labl>Turks and Caicos</labl>
			</catgry>
			<catgry>
				<catValu>21270</catValu>
				<labl>U.S. Virgin Islands</labl>
			</catgry>
			<catgry>
				<catValu>21991</catValu>
				<labl>Caribbean commonwealth, n.s.</labl>
			</catgry>
			<catgry>
				<catValu>21999</catValu>
				<labl>Caribbean, other or 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, other or 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>23999</catValu>
				<labl>South America, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>24000</catValu>
				<labl>North America</labl>
			</catgry>
			<catgry>
				<catValu>24010</catValu>
				<labl>Bermuda</labl>
			</catgry>
			<catgry>
				<catValu>24020</catValu>
				<labl>Canada</labl>
			</catgry>
			<catgry>
				<catValu>24030</catValu>
				<labl>Greenland</labl>
			</catgry>
			<catgry>
				<catValu>24040</catValu>
				<labl>United States</labl>
			</catgry>
			<catgry>
				<catValu>24999</catValu>
				<labl>North America, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>29999</catValu>
				<labl>Americas, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>30000</catValu>
				<labl>Asia</labl>
			</catgry>
			<catgry>
				<catValu>31000</catValu>
				<labl>Eastern Asia</labl>
			</catgry>
			<catgry>
				<catValu>31010</catValu>
				<labl>China</labl>
			</catgry>
			<catgry>
				<catValu>31011</catValu>
				<labl>Hong Kong</labl>
			</catgry>
			<catgry>
				<catValu>31012</catValu>
				<labl>Macau</labl>
			</catgry>
			<catgry>
				<catValu>31013</catValu>
				<labl>Taiwan</labl>
			</catgry>
			<catgry>
				<catValu>31020</catValu>
				<labl>Japan</labl>
			</catgry>
			<catgry>
				<catValu>31030</catValu>
				<labl>Korea</labl>
			</catgry>
			<catgry>
				<catValu>31031</catValu>
				<labl>Korea, DPR (North)</labl>
			</catgry>
			<catgry>
				<catValu>31032</catValu>
				<labl>Korea, RO (South)</labl>
			</catgry>
			<catgry>
				<catValu>31040</catValu>
				<labl>Mongolia</labl>
			</catgry>
			<catgry>
				<catValu>31999</catValu>
				<labl>Eastern Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>32000</catValu>
				<labl>South-Central Asia</labl>
			</catgry>
			<catgry>
				<catValu>32010</catValu>
				<labl>Afghanistan</labl>
			</catgry>
			<catgry>
				<catValu>32020</catValu>
				<labl>Bangladesh</labl>
			</catgry>
			<catgry>
				<catValu>32030</catValu>
				<labl>Bhutan</labl>
			</catgry>
			<catgry>
				<catValu>32040</catValu>
				<labl>India</labl>
			</catgry>
			<catgry>
				<catValu>32041</catValu>
				<labl>India/Pakistan</labl>
			</catgry>
			<catgry>
				<catValu>32042</catValu>
				<labl>India/Pakistan/Bangladesh/Sri Lanka</labl>
			</catgry>
			<catgry>
				<catValu>32050</catValu>
				<labl>Iran</labl>
			</catgry>
			<catgry>
				<catValu>32060</catValu>
				<labl>Kazakhstan</labl>
			</catgry>
			<catgry>
				<catValu>32070</catValu>
				<labl>Kyrgyzstan</labl>
			</catgry>
			<catgry>
				<catValu>32080</catValu>
				<labl>Maldives</labl>
			</catgry>
			<catgry>
				<catValu>32090</catValu>
				<labl>Nepal</labl>
			</catgry>
			<catgry>
				<catValu>32100</catValu>
				<labl>Pakistan</labl>
			</catgry>
			<catgry>
				<catValu>32101</catValu>
				<labl>Pakistan/Bangladesh</labl>
			</catgry>
			<catgry>
				<catValu>32110</catValu>
				<labl>Sri Lanka (Ceylon)</labl>
			</catgry>
			<catgry>
				<catValu>32120</catValu>
				<labl>Tajikistan</labl>
			</catgry>
			<catgry>
				<catValu>32130</catValu>
				<labl>Turkmenistan</labl>
			</catgry>
			<catgry>
				<catValu>32140</catValu>
				<labl>Uzbekistan</labl>
			</catgry>
			<catgry>
				<catValu>32999</catValu>
				<labl>South-Central Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>33000</catValu>
				<labl>South-Eastern Asia</labl>
			</catgry>
			<catgry>
				<catValu>33010</catValu>
				<labl>Brunei</labl>
			</catgry>
			<catgry>
				<catValu>33020</catValu>
				<labl>Cambodia (Kampuchea)</labl>
			</catgry>
			<catgry>
				<catValu>33030</catValu>
				<labl>East Timor</labl>
			</catgry>
			<catgry>
				<catValu>33040</catValu>
				<labl>Indonesia</labl>
			</catgry>
			<catgry>
				<catValu>33050</catValu>
				<labl>Laos</labl>
			</catgry>
			<catgry>
				<catValu>33060</catValu>
				<labl>Malaysia</labl>
			</catgry>
			<catgry>
				<catValu>33070</catValu>
				<labl>Myanmar (Burma)</labl>
			</catgry>
			<catgry>
				<catValu>33080</catValu>
				<labl>Philippines</labl>
			</catgry>
			<catgry>
				<catValu>33090</catValu>
				<labl>Singapore</labl>
			</catgry>
			<catgry>
				<catValu>33100</catValu>
				<labl>Thailand</labl>
			</catgry>
			<catgry>
				<catValu>33110</catValu>
				<labl>Vietnam</labl>
			</catgry>
			<catgry>
				<catValu>33999</catValu>
				<labl>South-Eastern Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>34000</catValu>
				<labl>Western Asia</labl>
			</catgry>
			<catgry>
				<catValu>34010</catValu>
				<labl>Armenia</labl>
			</catgry>
			<catgry>
				<catValu>34020</catValu>
				<labl>Azerbaijan</labl>
			</catgry>
			<catgry>
				<catValu>34030</catValu>
				<labl>Bahrain</labl>
			</catgry>
			<catgry>
				<catValu>34040</catValu>
				<labl>Cyprus</labl>
			</catgry>
			<catgry>
				<catValu>34050</catValu>
				<labl>Georgia</labl>
			</catgry>
			<catgry>
				<catValu>34051</catValu>
				<labl>Abkhazia</labl>
			</catgry>
			<catgry>
				<catValu>34052</catValu>
				<labl>South Ossetia</labl>
			</catgry>
			<catgry>
				<catValu>34060</catValu>
				<labl>Iraq</labl>
			</catgry>
			<catgry>
				<catValu>34070</catValu>
				<labl>Israel</labl>
			</catgry>
			<catgry>
				<catValu>34071</catValu>
				<labl>Israel/Palestine</labl>
			</catgry>
			<catgry>
				<catValu>34080</catValu>
				<labl>Jordan</labl>
			</catgry>
			<catgry>
				<catValu>34090</catValu>
				<labl>Kuwait</labl>
			</catgry>
			<catgry>
				<catValu>34100</catValu>
				<labl>Lebanon</labl>
			</catgry>
			<catgry>
				<catValu>34110</catValu>
				<labl>Palestine</labl>
			</catgry>
			<catgry>
				<catValu>34111</catValu>
				<labl>West Bank</labl>
			</catgry>
			<catgry>
				<catValu>34112</catValu>
				<labl>Gaza Strip</labl>
			</catgry>
			<catgry>
				<catValu>34120</catValu>
				<labl>Oman</labl>
			</catgry>
			<catgry>
				<catValu>34130</catValu>
				<labl>Qatar</labl>
			</catgry>
			<catgry>
				<catValu>34140</catValu>
				<labl>Saudi Arabia</labl>
			</catgry>
			<catgry>
				<catValu>34150</catValu>
				<labl>Syria</labl>
			</catgry>
			<catgry>
				<catValu>34151</catValu>
				<labl>Syria/Lebanon</labl>
			</catgry>
			<catgry>
				<catValu>34160</catValu>
				<labl>Turkey</labl>
			</catgry>
			<catgry>
				<catValu>34170</catValu>
				<labl>United Arab Emirates</labl>
			</catgry>
			<catgry>
				<catValu>34180</catValu>
				<labl>Yemen</labl>
			</catgry>
			<catgry>
				<catValu>34991</catValu>
				<labl>Middle East</labl>
			</catgry>
			<catgry>
				<catValu>34999</catValu>
				<labl>Western Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>39999</catValu>
				<labl>Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>40000</catValu>
				<labl>Europe</labl>
			</catgry>
			<catgry>
				<catValu>41000</catValu>
				<labl>Eastern Europe</labl>
			</catgry>
			<catgry>
				<catValu>41010</catValu>
				<labl>Belarus</labl>
			</catgry>
			<catgry>
				<catValu>41020</catValu>
				<labl>Bulgaria</labl>
			</catgry>
			<catgry>
				<catValu>41021</catValu>
				<labl>Bulgaria/Greece</labl>
			</catgry>
			<catgry>
				<catValu>41030</catValu>
				<labl>Czech Republic/Czechoslovakia</labl>
			</catgry>
			<catgry>
				<catValu>41040</catValu>
				<labl>Hungary</labl>
			</catgry>
			<catgry>
				<catValu>41050</catValu>
				<labl>Poland</labl>
			</catgry>
			<catgry>
				<catValu>41060</catValu>
				<labl>Moldova</labl>
			</catgry>
			<catgry>
				<catValu>41070</catValu>
				<labl>Romania</labl>
			</catgry>
			<catgry>
				<catValu>41080</catValu>
				<labl>Russia/USSR</labl>
			</catgry>
			<catgry>
				<catValu>41090</catValu>
				<labl>Slovakia</labl>
			</catgry>
			<catgry>
				<catValu>41100</catValu>
				<labl>Ukraine</labl>
			</catgry>
			<catgry>
				<catValu>41991</catValu>
				<labl>Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia</labl>
			</catgry>
			<catgry>
				<catValu>41992</catValu>
				<labl>Central-Eastern Europe</labl>
			</catgry>
			<catgry>
				<catValu>41999</catValu>
				<labl>Eastern Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>42000</catValu>
				<labl>Northern Europe</labl>
			</catgry>
			<catgry>
				<catValu>42010</catValu>
				<labl>Denmark</labl>
			</catgry>
			<catgry>
				<catValu>42020</catValu>
				<labl>Estonia</labl>
			</catgry>
			<catgry>
				<catValu>42030</catValu>
				<labl>Faroe Islands</labl>
			</catgry>
			<catgry>
				<catValu>42040</catValu>
				<labl>Finland</labl>
			</catgry>
			<catgry>
				<catValu>42050</catValu>
				<labl>Iceland</labl>
			</catgry>
			<catgry>
				<catValu>42060</catValu>
				<labl>Ireland</labl>
			</catgry>
			<catgry>
				<catValu>42070</catValu>
				<labl>Latvia</labl>
			</catgry>
			<catgry>
				<catValu>42080</catValu>
				<labl>Lithuania</labl>
			</catgry>
			<catgry>
				<catValu>42090</catValu>
				<labl>Norway</labl>
			</catgry>
			<catgry>
				<catValu>42100</catValu>
				<labl>Svalbard and Jan Mayen Islands</labl>
			</catgry>
			<catgry>
				<catValu>42110</catValu>
				<labl>Sweden</labl>
			</catgry>
			<catgry>
				<catValu>42120</catValu>
				<labl>United Kingdom</labl>
			</catgry>
			<catgry>
				<catValu>42999</catValu>
				<labl>Northern Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>43000</catValu>
				<labl>Southern Europe</labl>
			</catgry>
			<catgry>
				<catValu>43010</catValu>
				<labl>Albania</labl>
			</catgry>
			<catgry>
				<catValu>43020</catValu>
				<labl>Andorra</labl>
			</catgry>
			<catgry>
				<catValu>43030</catValu>
				<labl>Bosnia and Herzegovina</labl>
			</catgry>
			<catgry>
				<catValu>43040</catValu>
				<labl>Croatia</labl>
			</catgry>
			<catgry>
				<catValu>43050</catValu>
				<labl>Gibraltar</labl>
			</catgry>
			<catgry>
				<catValu>43060</catValu>
				<labl>Greece</labl>
			</catgry>
			<catgry>
				<catValu>43070</catValu>
				<labl>Italy</labl>
			</catgry>
			<catgry>
				<catValu>43071</catValu>
				<labl>Vatican City</labl>
			</catgry>
			<catgry>
				<catValu>43080</catValu>
				<labl>Malta</labl>
			</catgry>
			<catgry>
				<catValu>43090</catValu>
				<labl>Portugal</labl>
			</catgry>
			<catgry>
				<catValu>43100</catValu>
				<labl>San Marino</labl>
			</catgry>
			<catgry>
				<catValu>43110</catValu>
				<labl>Slovenia</labl>
			</catgry>
			<catgry>
				<catValu>43120</catValu>
				<labl>Spain</labl>
			</catgry>
			<catgry>
				<catValu>43121</catValu>
				<labl>Spain/Portugal</labl>
			</catgry>
			<catgry>
				<catValu>43130</catValu>
				<labl>Macedonia</labl>
			</catgry>
			<catgry>
				<catValu>43140</catValu>
				<labl>Yugoslavia</labl>
			</catgry>
			<catgry>
				<catValu>43141</catValu>
				<labl>Montenegro</labl>
			</catgry>
			<catgry>
				<catValu>43142</catValu>
				<labl>Serbia</labl>
			</catgry>
			<catgry>
				<catValu>43143</catValu>
				<labl>Kosovo</labl>
			</catgry>
			<catgry>
				<catValu>43144</catValu>
				<labl>Serbia and Montenegro</labl>
			</catgry>
			<catgry>
				<catValu>43991</catValu>
				<labl>Gibraltar/Malta</labl>
			</catgry>
			<catgry>
				<catValu>43992</catValu>
				<labl>Portugal/Greece</labl>
			</catgry>
			<catgry>
				<catValu>43993</catValu>
				<labl>Italy, Holy See, San Marino</labl>
			</catgry>
			<catgry>
				<catValu>43999</catValu>
				<labl>Southern Europe, other or 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>Belgium/Netherlands/Luxemburg</labl>
			</catgry>
			<catgry>
				<catValu>44030</catValu>
				<labl>France</labl>
			</catgry>
			<catgry>
				<catValu>44040</catValu>
				<labl>Germany</labl>
			</catgry>
			<catgry>
				<catValu>44042</catValu>
				<labl>West Germany</labl>
			</catgry>
			<catgry>
				<catValu>44043</catValu>
				<labl>Germany/Austria</labl>
			</catgry>
			<catgry>
				<catValu>44044</catValu>
				<labl>Mecklenburg-Schwerin</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>44991</catValu>
				<labl>Belgium, Denmark, Luxembourg, Netherlands</labl>
			</catgry>
			<catgry>
				<catValu>44999</catValu>
				<labl>Western Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>49992</catValu>
				<labl>European Union</labl>
			</catgry>
			<catgry>
				<catValu>49993</catValu>
				<labl>European Union (original 15)</labl>
			</catgry>
			<catgry>
				<catValu>49994</catValu>
				<labl>Other European Union (not original 15)</labl>
			</catgry>
			<catgry>
				<catValu>49999</catValu>
				<labl>Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>50000</catValu>
				<labl>Oceania</labl>
			</catgry>
			<catgry>
				<catValu>51000</catValu>
				<labl>Australia and New Zealand</labl>
			</catgry>
			<catgry>
				<catValu>51010</catValu>
				<labl>Australia</labl>
			</catgry>
			<catgry>
				<catValu>51020</catValu>
				<labl>New Zealand</labl>
			</catgry>
			<catgry>
				<catValu>51030</catValu>
				<labl>Norfolk Islands</labl>
			</catgry>
			<catgry>
				<catValu>51999</catValu>
				<labl>Australia and New Zealand, n.s.</labl>
			</catgry>
			<catgry>
				<catValu>52000</catValu>
				<labl>Melanesia</labl>
			</catgry>
			<catgry>
				<catValu>52010</catValu>
				<labl>Fiji</labl>
			</catgry>
			<catgry>
				<catValu>52020</catValu>
				<labl>New Caledonia</labl>
			</catgry>
			<catgry>
				<catValu>52030</catValu>
				<labl>Papua New Guinea</labl>
			</catgry>
			<catgry>
				<catValu>52040</catValu>
				<labl>Solomon Islands</labl>
			</catgry>
			<catgry>
				<catValu>52050</catValu>
				<labl>Vanuatu (New Hebrides)</labl>
			</catgry>
			<catgry>
				<catValu>52999</catValu>
				<labl>Melanesia, n.s.</labl>
			</catgry>
			<catgry>
				<catValu>53000</catValu>
				<labl>Micronesia</labl>
			</catgry>
			<catgry>
				<catValu>53010</catValu>
				<labl>Kiribati</labl>
			</catgry>
			<catgry>
				<catValu>53020</catValu>
				<labl>Marshall Islands</labl>
			</catgry>
			<catgry>
				<catValu>53030</catValu>
				<labl>Nauru</labl>
			</catgry>
			<catgry>
				<catValu>53040</catValu>
				<labl>Northern Mariana Isls.</labl>
			</catgry>
			<catgry>
				<catValu>53050</catValu>
				<labl>Palau</labl>
			</catgry>
			<catgry>
				<catValu>53060</catValu>
				<labl>Federated States of Micronesia</labl>
			</catgry>
			<catgry>
				<catValu>53999</catValu>
				<labl>Micronesia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>54000</catValu>
				<labl>Polynesia</labl>
			</catgry>
			<catgry>
				<catValu>54010</catValu>
				<labl>Cook Islands</labl>
			</catgry>
			<catgry>
				<catValu>54020</catValu>
				<labl>French Polynesia</labl>
			</catgry>
			<catgry>
				<catValu>54030</catValu>
				<labl>Niue</labl>
			</catgry>
			<catgry>
				<catValu>54040</catValu>
				<labl>Pitcairn Island</labl>
			</catgry>
			<catgry>
				<catValu>54050</catValu>
				<labl>Western Samoa</labl>
			</catgry>
			<catgry>
				<catValu>54060</catValu>
				<labl>Eastern Samoa</labl>
			</catgry>
			<catgry>
				<catValu>54070</catValu>
				<labl>Tokelau</labl>
			</catgry>
			<catgry>
				<catValu>54080</catValu>
				<labl>Tonga</labl>
			</catgry>
			<catgry>
				<catValu>54090</catValu>
				<labl>Tuvalu</labl>
			</catgry>
			<catgry>
				<catValu>54100</catValu>
				<labl>Wallis and Futuna Isls.</labl>
			</catgry>
			<catgry>
				<catValu>54999</catValu>
				<labl>Polynesia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>55000</catValu>
				<labl>U.S. Pacific Possessions</labl>
			</catgry>
			<catgry>
				<catValu>55010</catValu>
				<labl>American Samoa</labl>
			</catgry>
			<catgry>
				<catValu>55020</catValu>
				<labl>Baker Island</labl>
			</catgry>
			<catgry>
				<catValu>55030</catValu>
				<labl>Guam</labl>
			</catgry>
			<catgry>
				<catValu>55040</catValu>
				<labl>Howland Island</labl>
			</catgry>
			<catgry>
				<catValu>55050</catValu>
				<labl>Johnston Atoll</labl>
			</catgry>
			<catgry>
				<catValu>55060</catValu>
				<labl>Kingman Reef</labl>
			</catgry>
			<catgry>
				<catValu>55070</catValu>
				<labl>Midway Islands</labl>
			</catgry>
			<catgry>
				<catValu>55080</catValu>
				<labl>Wake Island</labl>
			</catgry>
			<catgry>
				<catValu>55999</catValu>
				<labl>US Pacific, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>59999</catValu>
				<labl>Oceania, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>80000</catValu>
				<labl>AT SEA</labl>
			</catgry>
			<catgry>
				<catValu>90000</catValu>
				<labl>Other countries n.s.</labl>
			</catgry>
			<catgry>
				<catValu>99999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="CITIZEN" dcml="0" files="P" intrvl="discrete" name="CITIZEN">
			<location EndPos="81" StartPos="81" width="1"></location>
			<labl>Citizenship</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="NATION" dcml="0" files="P" intrvl="discrete" name="NATION">
			<location EndPos="86" StartPos="82" width="5"></location>
			<labl>Country of citizenship</labl>
			<txt>NATION indicates the person's country of citizenship.</txt>
			<catgry>
				<catValu>00000</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, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>12000</catValu>
				<labl>Middle Africa</labl>
			</catgry>
			<catgry>
				<catValu>12010</catValu>
				<labl>Angola</labl>
			</catgry>
			<catgry>
				<catValu>12020</catValu>
				<labl>Cameroon</labl>
			</catgry>
			<catgry>
				<catValu>12030</catValu>
				<labl>Central African Republic</labl>
			</catgry>
			<catgry>
				<catValu>12040</catValu>
				<labl>Chad</labl>
			</catgry>
			<catgry>
				<catValu>12050</catValu>
				<labl>Congo (Republic of)</labl>
			</catgry>
			<catgry>
				<catValu>12060</catValu>
				<labl>Democratic Republic of Congo</labl>
			</catgry>
			<catgry>
				<catValu>12070</catValu>
				<labl>Equatorial Guinea</labl>
			</catgry>
			<catgry>
				<catValu>12080</catValu>
				<labl>Gabon</labl>
			</catgry>
			<catgry>
				<catValu>12090</catValu>
				<labl>Sao Tome and Principe</labl>
			</catgry>
			<catgry>
				<catValu>12999</catValu>
				<labl>Middle Africa, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>13000</catValu>
				<labl>Northern Africa</labl>
			</catgry>
			<catgry>
				<catValu>13010</catValu>
				<labl>Algeria</labl>
			</catgry>
			<catgry>
				<catValu>13011</catValu>
				<labl>Algeria/Tunisia</labl>
			</catgry>
			<catgry>
				<catValu>13020</catValu>
				<labl>Egypt/United Arab Rep.</labl>
			</catgry>
			<catgry>
				<catValu>13021</catValu>
				<labl>Egypt/Sudan</labl>
			</catgry>
			<catgry>
				<catValu>13030</catValu>
				<labl>Libya</labl>
			</catgry>
			<catgry>
				<catValu>13040</catValu>
				<labl>Morocco</labl>
			</catgry>
			<catgry>
				<catValu>13050</catValu>
				<labl>Sudan</labl>
			</catgry>
			<catgry>
				<catValu>13060</catValu>
				<labl>Tunisia</labl>
			</catgry>
			<catgry>
				<catValu>13070</catValu>
				<labl>Western Sahara</labl>
			</catgry>
			<catgry>
				<catValu>13999</catValu>
				<labl>Northern Africa, other or 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, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>15000</catValu>
				<labl>Western Africa</labl>
			</catgry>
			<catgry>
				<catValu>15010</catValu>
				<labl>Benin</labl>
			</catgry>
			<catgry>
				<catValu>15020</catValu>
				<labl>Burkina Faso</labl>
			</catgry>
			<catgry>
				<catValu>15030</catValu>
				<labl>Cape Verde</labl>
			</catgry>
			<catgry>
				<catValu>15040</catValu>
				<labl>Ivory Coast</labl>
			</catgry>
			<catgry>
				<catValu>15050</catValu>
				<labl>Gambia</labl>
			</catgry>
			<catgry>
				<catValu>15060</catValu>
				<labl>Ghana</labl>
			</catgry>
			<catgry>
				<catValu>15070</catValu>
				<labl>Guinea</labl>
			</catgry>
			<catgry>
				<catValu>15080</catValu>
				<labl>Guinea-Bissau</labl>
			</catgry>
			<catgry>
				<catValu>15090</catValu>
				<labl>Liberia</labl>
			</catgry>
			<catgry>
				<catValu>15100</catValu>
				<labl>Mali</labl>
			</catgry>
			<catgry>
				<catValu>15110</catValu>
				<labl>Mauritania</labl>
			</catgry>
			<catgry>
				<catValu>15120</catValu>
				<labl>Niger</labl>
			</catgry>
			<catgry>
				<catValu>15130</catValu>
				<labl>Nigeria</labl>
			</catgry>
			<catgry>
				<catValu>15140</catValu>
				<labl>St. Helena and Ascension</labl>
			</catgry>
			<catgry>
				<catValu>15150</catValu>
				<labl>Senegal</labl>
			</catgry>
			<catgry>
				<catValu>15160</catValu>
				<labl>Sierra Leone</labl>
			</catgry>
			<catgry>
				<catValu>15170</catValu>
				<labl>Togo</labl>
			</catgry>
			<catgry>
				<catValu>15999</catValu>
				<labl>West Africa, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>19999</catValu>
				<labl>Africa, other or 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>21220</catValu>
				<labl>St. Lucia</labl>
			</catgry>
			<catgry>
				<catValu>21240</catValu>
				<labl>St. Vincent</labl>
			</catgry>
			<catgry>
				<catValu>21250</catValu>
				<labl>Trinidad and Tobago</labl>
			</catgry>
			<catgry>
				<catValu>21260</catValu>
				<labl>Turks and Caicos</labl>
			</catgry>
			<catgry>
				<catValu>21270</catValu>
				<labl>U.S. Virgin Islands</labl>
			</catgry>
			<catgry>
				<catValu>21999</catValu>
				<labl>Caribbean, other or 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, other or 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>23999</catValu>
				<labl>South America, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>24000</catValu>
				<labl>North America</labl>
			</catgry>
			<catgry>
				<catValu>24010</catValu>
				<labl>Bermuda</labl>
			</catgry>
			<catgry>
				<catValu>24020</catValu>
				<labl>Canada</labl>
			</catgry>
			<catgry>
				<catValu>24021</catValu>
				<labl>Canada, First Nations</labl>
			</catgry>
			<catgry>
				<catValu>24030</catValu>
				<labl>Greenland</labl>
			</catgry>
			<catgry>
				<catValu>24040</catValu>
				<labl>United States</labl>
			</catgry>
			<catgry>
				<catValu>24999</catValu>
				<labl>North America, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>29999</catValu>
				<labl>Americas, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>30000</catValu>
				<labl>Asia</labl>
			</catgry>
			<catgry>
				<catValu>31000</catValu>
				<labl>Eastern Asia</labl>
			</catgry>
			<catgry>
				<catValu>31010</catValu>
				<labl>China</labl>
			</catgry>
			<catgry>
				<catValu>31011</catValu>
				<labl>Hong Kong</labl>
			</catgry>
			<catgry>
				<catValu>31012</catValu>
				<labl>Macau</labl>
			</catgry>
			<catgry>
				<catValu>31013</catValu>
				<labl>Taiwan</labl>
			</catgry>
			<catgry>
				<catValu>31020</catValu>
				<labl>Japan</labl>
			</catgry>
			<catgry>
				<catValu>31030</catValu>
				<labl>Korea</labl>
			</catgry>
			<catgry>
				<catValu>31031</catValu>
				<labl>Korea, DPR (North)</labl>
			</catgry>
			<catgry>
				<catValu>31032</catValu>
				<labl>Korea, RO (South)</labl>
			</catgry>
			<catgry>
				<catValu>31040</catValu>
				<labl>Mongolia</labl>
			</catgry>
			<catgry>
				<catValu>31999</catValu>
				<labl>Eastern Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>32000</catValu>
				<labl>South-Central Asia</labl>
			</catgry>
			<catgry>
				<catValu>32010</catValu>
				<labl>Afghanistan</labl>
			</catgry>
			<catgry>
				<catValu>32020</catValu>
				<labl>Bangladesh</labl>
			</catgry>
			<catgry>
				<catValu>32030</catValu>
				<labl>Bhutan</labl>
			</catgry>
			<catgry>
				<catValu>32040</catValu>
				<labl>India</labl>
			</catgry>
			<catgry>
				<catValu>32041</catValu>
				<labl>India/Pakistan</labl>
			</catgry>
			<catgry>
				<catValu>32050</catValu>
				<labl>Iran</labl>
			</catgry>
			<catgry>
				<catValu>32060</catValu>
				<labl>Kazakhstan</labl>
			</catgry>
			<catgry>
				<catValu>32070</catValu>
				<labl>Kyrgyzstan</labl>
			</catgry>
			<catgry>
				<catValu>32080</catValu>
				<labl>Maldives</labl>
			</catgry>
			<catgry>
				<catValu>32090</catValu>
				<labl>Nepal</labl>
			</catgry>
			<catgry>
				<catValu>32100</catValu>
				<labl>Pakistan</labl>
			</catgry>
			<catgry>
				<catValu>32110</catValu>
				<labl>Sri Lanka (Ceylon)</labl>
			</catgry>
			<catgry>
				<catValu>32120</catValu>
				<labl>Tajikistan</labl>
			</catgry>
			<catgry>
				<catValu>32130</catValu>
				<labl>Turkmenistan</labl>
			</catgry>
			<catgry>
				<catValu>32140</catValu>
				<labl>Uzbekistan</labl>
			</catgry>
			<catgry>
				<catValu>32990</catValu>
				<labl>Burma, India, Pakistan, Ceylon</labl>
			</catgry>
			<catgry>
				<catValu>32999</catValu>
				<labl>South-Central Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>33000</catValu>
				<labl>South-Eastern Asia</labl>
			</catgry>
			<catgry>
				<catValu>33010</catValu>
				<labl>Brunei</labl>
			</catgry>
			<catgry>
				<catValu>33020</catValu>
				<labl>Cambodia (Kampuchea)</labl>
			</catgry>
			<catgry>
				<catValu>33030</catValu>
				<labl>East Timor</labl>
			</catgry>
			<catgry>
				<catValu>33040</catValu>
				<labl>Indonesia</labl>
			</catgry>
			<catgry>
				<catValu>33050</catValu>
				<labl>Laos</labl>
			</catgry>
			<catgry>
				<catValu>33060</catValu>
				<labl>Malaysia</labl>
			</catgry>
			<catgry>
				<catValu>33070</catValu>
				<labl>Myanmar (Burma)</labl>
			</catgry>
			<catgry>
				<catValu>33080</catValu>
				<labl>Philippines</labl>
			</catgry>
			<catgry>
				<catValu>33090</catValu>
				<labl>Singapore</labl>
			</catgry>
			<catgry>
				<catValu>33100</catValu>
				<labl>Thailand</labl>
			</catgry>
			<catgry>
				<catValu>33110</catValu>
				<labl>Vietnam</labl>
			</catgry>
			<catgry>
				<catValu>33991</catValu>
				<labl>Laos and Cambodia</labl>
			</catgry>
			<catgry>
				<catValu>33992</catValu>
				<labl>Malaysia and Singapore</labl>
			</catgry>
			<catgry>
				<catValu>33999</catValu>
				<labl>South-Eastern Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>34000</catValu>
				<labl>Western Asia</labl>
			</catgry>
			<catgry>
				<catValu>34010</catValu>
				<labl>Armenia</labl>
			</catgry>
			<catgry>
				<catValu>34020</catValu>
				<labl>Azerbaijan</labl>
			</catgry>
			<catgry>
				<catValu>34030</catValu>
				<labl>Bahrain</labl>
			</catgry>
			<catgry>
				<catValu>34040</catValu>
				<labl>Cyprus</labl>
			</catgry>
			<catgry>
				<catValu>34050</catValu>
				<labl>Georgia</labl>
			</catgry>
			<catgry>
				<catValu>34051</catValu>
				<labl>Abkhazia</labl>
			</catgry>
			<catgry>
				<catValu>34052</catValu>
				<labl>South Ossetia</labl>
			</catgry>
			<catgry>
				<catValu>34060</catValu>
				<labl>Iraq</labl>
			</catgry>
			<catgry>
				<catValu>34070</catValu>
				<labl>Israel</labl>
			</catgry>
			<catgry>
				<catValu>34080</catValu>
				<labl>Jordan</labl>
			</catgry>
			<catgry>
				<catValu>34090</catValu>
				<labl>Kuwait</labl>
			</catgry>
			<catgry>
				<catValu>34100</catValu>
				<labl>Lebanon</labl>
			</catgry>
			<catgry>
				<catValu>34110</catValu>
				<labl>Palestine</labl>
			</catgry>
			<catgry>
				<catValu>34120</catValu>
				<labl>Oman</labl>
			</catgry>
			<catgry>
				<catValu>34130</catValu>
				<labl>Qatar</labl>
			</catgry>
			<catgry>
				<catValu>34140</catValu>
				<labl>Saudi Arabia</labl>
			</catgry>
			<catgry>
				<catValu>34150</catValu>
				<labl>Syria</labl>
			</catgry>
			<catgry>
				<catValu>34151</catValu>
				<labl>Syria/Lebanon</labl>
			</catgry>
			<catgry>
				<catValu>34160</catValu>
				<labl>Turkey</labl>
			</catgry>
			<catgry>
				<catValu>34170</catValu>
				<labl>United Arab Emirates</labl>
			</catgry>
			<catgry>
				<catValu>34180</catValu>
				<labl>Yemen</labl>
			</catgry>
			<catgry>
				<catValu>34991</catValu>
				<labl>Middle East</labl>
			</catgry>
			<catgry>
				<catValu>34999</catValu>
				<labl>Western Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>39999</catValu>
				<labl>Asia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>40000</catValu>
				<labl>Europe</labl>
			</catgry>
			<catgry>
				<catValu>41000</catValu>
				<labl>Eastern Europe</labl>
			</catgry>
			<catgry>
				<catValu>41010</catValu>
				<labl>Belarus</labl>
			</catgry>
			<catgry>
				<catValu>41020</catValu>
				<labl>Bulgaria</labl>
			</catgry>
			<catgry>
				<catValu>41021</catValu>
				<labl>Bulgaria/Greece</labl>
			</catgry>
			<catgry>
				<catValu>41030</catValu>
				<labl>Czech Republic/Czechoslovakia</labl>
			</catgry>
			<catgry>
				<catValu>41040</catValu>
				<labl>Hungary</labl>
			</catgry>
			<catgry>
				<catValu>41050</catValu>
				<labl>Poland</labl>
			</catgry>
			<catgry>
				<catValu>41060</catValu>
				<labl>Moldova</labl>
			</catgry>
			<catgry>
				<catValu>41070</catValu>
				<labl>Romania</labl>
			</catgry>
			<catgry>
				<catValu>41080</catValu>
				<labl>Russia/USSR</labl>
			</catgry>
			<catgry>
				<catValu>41090</catValu>
				<labl>Slovakia</labl>
			</catgry>
			<catgry>
				<catValu>41100</catValu>
				<labl>Ukraine</labl>
			</catgry>
			<catgry>
				<catValu>41992</catValu>
				<labl>Central-Eastern Europe</labl>
			</catgry>
			<catgry>
				<catValu>41999</catValu>
				<labl>Eastern Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>42000</catValu>
				<labl>Northern Europe</labl>
			</catgry>
			<catgry>
				<catValu>42010</catValu>
				<labl>Denmark</labl>
			</catgry>
			<catgry>
				<catValu>42020</catValu>
				<labl>Estonia</labl>
			</catgry>
			<catgry>
				<catValu>42030</catValu>
				<labl>Faroe Islands</labl>
			</catgry>
			<catgry>
				<catValu>42040</catValu>
				<labl>Finland</labl>
			</catgry>
			<catgry>
				<catValu>42050</catValu>
				<labl>Iceland</labl>
			</catgry>
			<catgry>
				<catValu>42060</catValu>
				<labl>Ireland</labl>
			</catgry>
			<catgry>
				<catValu>42070</catValu>
				<labl>Latvia</labl>
			</catgry>
			<catgry>
				<catValu>42080</catValu>
				<labl>Lithuania</labl>
			</catgry>
			<catgry>
				<catValu>42090</catValu>
				<labl>Norway</labl>
			</catgry>
			<catgry>
				<catValu>42100</catValu>
				<labl>Svalbard and Jan Mayen Islands</labl>
			</catgry>
			<catgry>
				<catValu>42110</catValu>
				<labl>Sweden</labl>
			</catgry>
			<catgry>
				<catValu>42120</catValu>
				<labl>United Kingdom</labl>
			</catgry>
			<catgry>
				<catValu>42121</catValu>
				<labl>Britain</labl>
			</catgry>
			<catgry>
				<catValu>42122</catValu>
				<labl>Scotland</labl>
			</catgry>
			<catgry>
				<catValu>42123</catValu>
				<labl>Wales</labl>
			</catgry>
			<catgry>
				<catValu>42990</catValu>
				<labl>Nordic countries</labl>
			</catgry>
			<catgry>
				<catValu>42999</catValu>
				<labl>Northern Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>43000</catValu>
				<labl>Southern Europe</labl>
			</catgry>
			<catgry>
				<catValu>43010</catValu>
				<labl>Albania</labl>
			</catgry>
			<catgry>
				<catValu>43020</catValu>
				<labl>Andorra</labl>
			</catgry>
			<catgry>
				<catValu>43030</catValu>
				<labl>Bosnia and Herzegovina</labl>
			</catgry>
			<catgry>
				<catValu>43040</catValu>
				<labl>Croatia</labl>
			</catgry>
			<catgry>
				<catValu>43050</catValu>
				<labl>Gibraltar</labl>
			</catgry>
			<catgry>
				<catValu>43060</catValu>
				<labl>Greece</labl>
			</catgry>
			<catgry>
				<catValu>43070</catValu>
				<labl>Italy</labl>
			</catgry>
			<catgry>
				<catValu>43071</catValu>
				<labl>Vatican City</labl>
			</catgry>
			<catgry>
				<catValu>43080</catValu>
				<labl>Malta</labl>
			</catgry>
			<catgry>
				<catValu>43090</catValu>
				<labl>Portugal</labl>
			</catgry>
			<catgry>
				<catValu>43100</catValu>
				<labl>San Marino</labl>
			</catgry>
			<catgry>
				<catValu>43110</catValu>
				<labl>Slovenia</labl>
			</catgry>
			<catgry>
				<catValu>43120</catValu>
				<labl>Spain</labl>
			</catgry>
			<catgry>
				<catValu>43130</catValu>
				<labl>Macedonia</labl>
			</catgry>
			<catgry>
				<catValu>43140</catValu>
				<labl>Yugoslavia</labl>
			</catgry>
			<catgry>
				<catValu>43141</catValu>
				<labl>Montenegro</labl>
			</catgry>
			<catgry>
				<catValu>43142</catValu>
				<labl>Serbia</labl>
			</catgry>
			<catgry>
				<catValu>43143</catValu>
				<labl>Kosovo</labl>
			</catgry>
			<catgry>
				<catValu>43144</catValu>
				<labl>Serbia and Montenegro</labl>
			</catgry>
			<catgry>
				<catValu>43999</catValu>
				<labl>Southern Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>44000</catValu>
				<labl>Western Europe</labl>
			</catgry>
			<catgry>
				<catValu>44010</catValu>
				<labl>Austria</labl>
			</catgry>
			<catgry>
				<catValu>44011</catValu>
				<labl>Austro-Hungarian</labl>
			</catgry>
			<catgry>
				<catValu>44020</catValu>
				<labl>Belgium</labl>
			</catgry>
			<catgry>
				<catValu>44022</catValu>
				<labl>Belgium/Netherlands/Luxemburg</labl>
			</catgry>
			<catgry>
				<catValu>44030</catValu>
				<labl>France</labl>
			</catgry>
			<catgry>
				<catValu>44040</catValu>
				<labl>Germany</labl>
			</catgry>
			<catgry>
				<catValu>44041</catValu>
				<labl>East Germany</labl>
			</catgry>
			<catgry>
				<catValu>44042</catValu>
				<labl>West Germany</labl>
			</catgry>
			<catgry>
				<catValu>44050</catValu>
				<labl>Liechtenstein</labl>
			</catgry>
			<catgry>
				<catValu>44060</catValu>
				<labl>Luxembourg</labl>
			</catgry>
			<catgry>
				<catValu>44070</catValu>
				<labl>Monaco</labl>
			</catgry>
			<catgry>
				<catValu>44080</catValu>
				<labl>Netherlands</labl>
			</catgry>
			<catgry>
				<catValu>44090</catValu>
				<labl>Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>44999</catValu>
				<labl>Western Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>49992</catValu>
				<labl>European Union</labl>
			</catgry>
			<catgry>
				<catValu>49993</catValu>
				<labl>European Union (Original 15)</labl>
			</catgry>
			<catgry>
				<catValu>49994</catValu>
				<labl>Other European Union</labl>
			</catgry>
			<catgry>
				<catValu>49999</catValu>
				<labl>Europe, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>50000</catValu>
				<labl>Oceania</labl>
			</catgry>
			<catgry>
				<catValu>51000</catValu>
				<labl>Australia and New Zealand</labl>
			</catgry>
			<catgry>
				<catValu>51010</catValu>
				<labl>Australia</labl>
			</catgry>
			<catgry>
				<catValu>51020</catValu>
				<labl>New Zealand</labl>
			</catgry>
			<catgry>
				<catValu>51030</catValu>
				<labl>Norfolk Islands</labl>
			</catgry>
			<catgry>
				<catValu>51999</catValu>
				<labl>Australia and New Zealand, n.s.</labl>
			</catgry>
			<catgry>
				<catValu>52000</catValu>
				<labl>Melanesia</labl>
			</catgry>
			<catgry>
				<catValu>52010</catValu>
				<labl>Fiji</labl>
			</catgry>
			<catgry>
				<catValu>52020</catValu>
				<labl>New Caledonia</labl>
			</catgry>
			<catgry>
				<catValu>52030</catValu>
				<labl>Papua New Guinea</labl>
			</catgry>
			<catgry>
				<catValu>52040</catValu>
				<labl>Solomon Islands</labl>
			</catgry>
			<catgry>
				<catValu>52050</catValu>
				<labl>Vanuatu (New Hebrides)</labl>
			</catgry>
			<catgry>
				<catValu>52999</catValu>
				<labl>Melanesia, n.s.</labl>
			</catgry>
			<catgry>
				<catValu>53000</catValu>
				<labl>Micronesia</labl>
			</catgry>
			<catgry>
				<catValu>53010</catValu>
				<labl>Kiribati</labl>
			</catgry>
			<catgry>
				<catValu>53020</catValu>
				<labl>Marshall Islands</labl>
			</catgry>
			<catgry>
				<catValu>53030</catValu>
				<labl>Nauru</labl>
			</catgry>
			<catgry>
				<catValu>53040</catValu>
				<labl>Northern Mariana Isls.</labl>
			</catgry>
			<catgry>
				<catValu>53050</catValu>
				<labl>Palau</labl>
			</catgry>
			<catgry>
				<catValu>53999</catValu>
				<labl>Micronesia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>54000</catValu>
				<labl>Polynesia</labl>
			</catgry>
			<catgry>
				<catValu>54010</catValu>
				<labl>Cook Islands</labl>
			</catgry>
			<catgry>
				<catValu>54020</catValu>
				<labl>French Polynesia</labl>
			</catgry>
			<catgry>
				<catValu>54030</catValu>
				<labl>Niue</labl>
			</catgry>
			<catgry>
				<catValu>54040</catValu>
				<labl>Pitcairn Island</labl>
			</catgry>
			<catgry>
				<catValu>54050</catValu>
				<labl>Western Samoa</labl>
			</catgry>
			<catgry>
				<catValu>54060</catValu>
				<labl>Eastern Samoa</labl>
			</catgry>
			<catgry>
				<catValu>54070</catValu>
				<labl>Tokelau</labl>
			</catgry>
			<catgry>
				<catValu>54080</catValu>
				<labl>Tonga</labl>
			</catgry>
			<catgry>
				<catValu>54090</catValu>
				<labl>Tuvalu</labl>
			</catgry>
			<catgry>
				<catValu>54100</catValu>
				<labl>Wallis and Futuna Isls.</labl>
			</catgry>
			<catgry>
				<catValu>54999</catValu>
				<labl>Polynesia, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>55000</catValu>
				<labl>U.S. Pacific Possessions</labl>
			</catgry>
			<catgry>
				<catValu>55010</catValu>
				<labl>American Samoa</labl>
			</catgry>
			<catgry>
				<catValu>55020</catValu>
				<labl>Baker Island</labl>
			</catgry>
			<catgry>
				<catValu>55030</catValu>
				<labl>Guam</labl>
			</catgry>
			<catgry>
				<catValu>55040</catValu>
				<labl>Howland Island</labl>
			</catgry>
			<catgry>
				<catValu>55050</catValu>
				<labl>Johnston Atoll</labl>
			</catgry>
			<catgry>
				<catValu>55060</catValu>
				<labl>Kingman Reef</labl>
			</catgry>
			<catgry>
				<catValu>55070</catValu>
				<labl>Midway Islands</labl>
			</catgry>
			<catgry>
				<catValu>55080</catValu>
				<labl>Wake Island</labl>
			</catgry>
			<catgry>
				<catValu>55999</catValu>
				<labl>US Pacific, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>59999</catValu>
				<labl>Oceania, other or n.s.</labl>
			</catgry>
			<catgry>
				<catValu>90000</catValu>
				<labl>Other countries n.s.</labl>
			</catgry>
			<catgry>
				<catValu>99998</catValu>
				<labl>No citizenship/nationality</labl>
			</catgry>
			<catgry>
				<catValu>99999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="BPLES" dcml="0" files="P" intrvl="discrete" name="BPLES">
			<location EndPos="88" StartPos="87" width="2"></location>
			<labl>Province of birth, Spain</labl>
			<txt>BPLES indicates the province in Spain in which the person was born.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>Araba</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Alicante/Alacant</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Almería</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Ávila</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Balears (Illes)</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Castellón/Castelló</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>Coruña (A)</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>Girona</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Guipúzcoa</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>Jaén</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>León</labl>
			</catgry>
			<catgry>
				<catValu>25</catValu>
				<labl>Lleida</labl>
			</catgry>
			<catgry>
				<catValu>26</catValu>
				<labl>Rioja (La)</labl>
			</catgry>
			<catgry>
				<catValu>27</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>28</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>29</catValu>
				<labl>Málaga</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Navarra</labl>
			</catgry>
			<catgry>
				<catValu>32</catValu>
				<labl>Ourense</labl>
			</catgry>
			<catgry>
				<catValu>33</catValu>
				<labl>Asturias</labl>
			</catgry>
			<catgry>
				<catValu>34</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>35</catValu>
				<labl>Palmas (Las)</labl>
			</catgry>
			<catgry>
				<catValu>36</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>37</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>38</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>39</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Sevilla</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>44</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>45</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>46</catValu>
				<labl>Valencia/València</labl>
			</catgry>
			<catgry>
				<catValu>47</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>48</catValu>
				<labl>Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>49</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Ceuta, Melilla and other Spanish territories</labl>
			</catgry>
			<catgry>
				<catValu>59</catValu>
				<labl>Born in Spain, municipality unknown</labl>
			</catgry>
			<catgry>
				<catValu>97</catValu>
				<labl>Abroad</labl>
			</catgry>
			<catgry>
				<catValu>98</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EBPLNT1" dcml="0" files="P" intrvl="discrete" name="EBPLNT1">
			<location EndPos="92" StartPos="89" width="4"></location>
			<labl>Region of birth, Europe, NUTS1</labl>
			<txt>EBPLNT1 indicates the NUTS1 region in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. NUTS1 identifies the largest territorial units within countries.

EBPLNT1 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.

The code labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.</txt>
			<catgry>
				<catValu>0000</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>0901</catValu>
				<labl>ES1 / Noroeste</labl>
			</catgry>
			<catgry>
				<catValu>0902</catValu>
				<labl>ES2 / Noreste</labl>
			</catgry>
			<catgry>
				<catValu>0903</catValu>
				<labl>ES3 / Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>0904</catValu>
				<labl>ES4 / Centro (E)</labl>
			</catgry>
			<catgry>
				<catValu>0905</catValu>
				<labl>ES5 / Este</labl>
			</catgry>
			<catgry>
				<catValu>0906</catValu>
				<labl>ES6 / Sur</labl>
			</catgry>
			<catgry>
				<catValu>0907</catValu>
				<labl>ES7 / Canarias</labl>
			</catgry>
			<catgry>
				<catValu>0908</catValu>
				<labl>ES6 / Sur + Other Spanish territories</labl>
			</catgry>
			<catgry>
				<catValu>1101</catValu>
				<labl>FR1 / Île de France</labl>
			</catgry>
			<catgry>
				<catValu>1102</catValu>
				<labl>FR2 / Bassin Parisien</labl>
			</catgry>
			<catgry>
				<catValu>1103</catValu>
				<labl>FR3 / Nord - Pas-de-Calais</labl>
			</catgry>
			<catgry>
				<catValu>1104</catValu>
				<labl>FR4 / Est</labl>
			</catgry>
			<catgry>
				<catValu>1105</catValu>
				<labl>FR5 / Ouest</labl>
			</catgry>
			<catgry>
				<catValu>1106</catValu>
				<labl>FR6 / Sud-Ouest</labl>
			</catgry>
			<catgry>
				<catValu>1107</catValu>
				<labl>FR7 / Centre-Est</labl>
			</catgry>
			<catgry>
				<catValu>1108</catValu>
				<labl>FR8 / Méditerranée</labl>
			</catgry>
			<catgry>
				<catValu>1201</catValu>
				<labl>EL1 / Voreia Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1202</catValu>
				<labl>EL2 / Kentriki Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1203</catValu>
				<labl>EL3 / Attiki</labl>
			</catgry>
			<catgry>
				<catValu>1204</catValu>
				<labl>EL4 / Nisia Aigaiou, Kriti</labl>
			</catgry>
			<catgry>
				<catValu>1301</catValu>
				<labl>HU1 / Közép-Magyarország</labl>
			</catgry>
			<catgry>
				<catValu>1302</catValu>
				<labl>HU2 / Dunántúl</labl>
			</catgry>
			<catgry>
				<catValu>1303</catValu>
				<labl>HU3 / Alföld és  Észak</labl>
			</catgry>
			<catgry>
				<catValu>1400</catValu>
				<labl>IE0 / Republic of Ireland</labl>
			</catgry>
			<catgry>
				<catValu>2201</catValu>
				<labl>PT1 / Continente</labl>
			</catgry>
			<catgry>
				<catValu>2202</catValu>
				<labl>PT2 / Região Autónoma dos Açores</labl>
			</catgry>
			<catgry>
				<catValu>2203</catValu>
				<labl>PT3 / Região Autónoma da Madeira</labl>
			</catgry>
			<catgry>
				<catValu>2301</catValu>
				<labl>RO1 / Macroregiunea unu</labl>
			</catgry>
			<catgry>
				<catValu>2302</catValu>
				<labl>RO2 / Macroregiunea doi</labl>
			</catgry>
			<catgry>
				<catValu>2303</catValu>
				<labl>RO3 / Macroregiunea trei</labl>
			</catgry>
			<catgry>
				<catValu>2304</catValu>
				<labl>RO4 / Macroregiunea patru</labl>
			</catgry>
			<catgry>
				<catValu>2501</catValu>
				<labl>SI0 / Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>3401</catValu>
				<labl>CH0/Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>3901</catValu>
				<labl>TR1 / Istanbul</labl>
			</catgry>
			<catgry>
				<catValu>3902</catValu>
				<labl>TR2 / Bati Marmara</labl>
			</catgry>
			<catgry>
				<catValu>3903</catValu>
				<labl>TR3 / Ege</labl>
			</catgry>
			<catgry>
				<catValu>3904</catValu>
				<labl>TR4 / Dogu Marmara</labl>
			</catgry>
			<catgry>
				<catValu>3905</catValu>
				<labl>TR5 / Bati Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3906</catValu>
				<labl>TR6 / Akdeniz</labl>
			</catgry>
			<catgry>
				<catValu>3907</catValu>
				<labl>TR7 / Orta Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3908</catValu>
				<labl>TR8 / Bati Karadeniz</labl>
			</catgry>
			<catgry>
				<catValu>3909</catValu>
				<labl>TR9 / Dogu Karadeniz</labl>
			</catgry>
			<catgry>
				<catValu>3911</catValu>
				<labl>TRA / Kuzeydogu Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3912</catValu>
				<labl>TRB / Ortadogu Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>3913</catValu>
				<labl>TRC / Güneydogu Anadolu</labl>
			</catgry>
			<catgry>
				<catValu>9998</catValu>
				<labl>Response suppressed</labl>
			</catgry>
			<catgry>
				<catValu>9999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EBPLNT2" dcml="0" files="P" intrvl="discrete" name="EBPLNT2">
			<location EndPos="96" StartPos="93" width="4"></location>
			<labl>Region of birth, Europe, NUTS2</labl>
			<txt>EBPLNT2 indicates the NUTS2 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS2 identifies intermediate territorial units: the second level within countries.

EBPLNT2 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.

The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.</txt>
			<catgry>
				<catValu>0000</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>0911</catValu>
				<labl>ES11 / Galicia</labl>
			</catgry>
			<catgry>
				<catValu>0912</catValu>
				<labl>ES12 / Principado de Asturias</labl>
			</catgry>
			<catgry>
				<catValu>0913</catValu>
				<labl>ES13 / Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>0921</catValu>
				<labl>ES21 / País Vasco</labl>
			</catgry>
			<catgry>
				<catValu>0922</catValu>
				<labl>ES22 / Comunidad Foral de Navarra</labl>
			</catgry>
			<catgry>
				<catValu>0923</catValu>
				<labl>ES23 / La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>0924</catValu>
				<labl>ES24 / Aragón</labl>
			</catgry>
			<catgry>
				<catValu>0930</catValu>
				<labl>ES30 / Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>0941</catValu>
				<labl>ES41 / Castilla y León</labl>
			</catgry>
			<catgry>
				<catValu>0942</catValu>
				<labl>ES42 / Castilla-La Mancha</labl>
			</catgry>
			<catgry>
				<catValu>0943</catValu>
				<labl>ES43 / Extremadura</labl>
			</catgry>
			<catgry>
				<catValu>0951</catValu>
				<labl>ES51 / Cataluña</labl>
			</catgry>
			<catgry>
				<catValu>0952</catValu>
				<labl>ES52 / Comunidad Valenciana</labl>
			</catgry>
			<catgry>
				<catValu>0953</catValu>
				<labl>ES53 / Illes Balears</labl>
			</catgry>
			<catgry>
				<catValu>0961</catValu>
				<labl>ES61 / Andalucía</labl>
			</catgry>
			<catgry>
				<catValu>0962</catValu>
				<labl>ES62 / Región de Murcia</labl>
			</catgry>
			<catgry>
				<catValu>0963</catValu>
				<labl>ES63 / Ciudad Autónoma de Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>0964</catValu>
				<labl>ES64 / Ciudad Autónoma de Melilla</labl>
			</catgry>
			<catgry>
				<catValu>0969</catValu>
				<labl>ES63 + ES64 + Other Spanish territories</labl>
			</catgry>
			<catgry>
				<catValu>0970</catValu>
				<labl>ES70 / Canarias</labl>
			</catgry>
			<catgry>
				<catValu>1110</catValu>
				<labl>FR10 / Region d'Île de France</labl>
			</catgry>
			<catgry>
				<catValu>1121</catValu>
				<labl>FR21 / Champagne-Ardenne</labl>
			</catgry>
			<catgry>
				<catValu>1122</catValu>
				<labl>FR22 / Picardie</labl>
			</catgry>
			<catgry>
				<catValu>1123</catValu>
				<labl>FR23 / Haute-Normandie</labl>
			</catgry>
			<catgry>
				<catValu>1124</catValu>
				<labl>FR24 / Centre</labl>
			</catgry>
			<catgry>
				<catValu>1125</catValu>
				<labl>FR25 / Basse-Normandie</labl>
			</catgry>
			<catgry>
				<catValu>1126</catValu>
				<labl>FR26 / Bourgogne</labl>
			</catgry>
			<catgry>
				<catValu>1130</catValu>
				<labl>FR30 / Nord-Pas-de-Calais</labl>
			</catgry>
			<catgry>
				<catValu>1141</catValu>
				<labl>FR41 / Lorraine</labl>
			</catgry>
			<catgry>
				<catValu>1142</catValu>
				<labl>FR42 / Alsace</labl>
			</catgry>
			<catgry>
				<catValu>1143</catValu>
				<labl>FR43 / Franche-Comté</labl>
			</catgry>
			<catgry>
				<catValu>1151</catValu>
				<labl>FR51 / Pays de la Loire</labl>
			</catgry>
			<catgry>
				<catValu>1152</catValu>
				<labl>FR52 / Bretagne</labl>
			</catgry>
			<catgry>
				<catValu>1153</catValu>
				<labl>FR53 / Poitou-Charentes</labl>
			</catgry>
			<catgry>
				<catValu>1161</catValu>
				<labl>FR61 / Aquitaine</labl>
			</catgry>
			<catgry>
				<catValu>1162</catValu>
				<labl>FR62 / Midi-Pyrénées</labl>
			</catgry>
			<catgry>
				<catValu>1163</catValu>
				<labl>FR63 / Limousin</labl>
			</catgry>
			<catgry>
				<catValu>1171</catValu>
				<labl>FR71 / Rhône-Alpes</labl>
			</catgry>
			<catgry>
				<catValu>1172</catValu>
				<labl>FR72 / Auvergne</labl>
			</catgry>
			<catgry>
				<catValu>1181</catValu>
				<labl>FR81 / Lanquedoc-Roussillon</labl>
			</catgry>
			<catgry>
				<catValu>1182</catValu>
				<labl>FR82 / Provence-Alpes-Côte d'Azur</labl>
			</catgry>
			<catgry>
				<catValu>1183</catValu>
				<labl>FR83 / Corse</labl>
			</catgry>
			<catgry>
				<catValu>1211</catValu>
				<labl>EL11 / Anatoliki Makedonia, Thraki</labl>
			</catgry>
			<catgry>
				<catValu>1212</catValu>
				<labl>EL12 / Kentriki Makedonia</labl>
			</catgry>
			<catgry>
				<catValu>1213</catValu>
				<labl>EL13 / Dytiki Makedonia</labl>
			</catgry>
			<catgry>
				<catValu>1214</catValu>
				<labl>EL14 / Thessalia</labl>
			</catgry>
			<catgry>
				<catValu>1221</catValu>
				<labl>EL21 / Ipeiros</labl>
			</catgry>
			<catgry>
				<catValu>1222</catValu>
				<labl>EL22 / Ionia Nisia</labl>
			</catgry>
			<catgry>
				<catValu>1223</catValu>
				<labl>EL23 / Dytiki Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1224</catValu>
				<labl>EL24 / Sterea Ellada</labl>
			</catgry>
			<catgry>
				<catValu>1225</catValu>
				<labl>EL25 / Peloponnisos</labl>
			</catgry>
			<catgry>
				<catValu>1230</catValu>
				<labl>EL30 / Attiki</labl>
			</catgry>
			<catgry>
				<catValu>1241</catValu>
				<labl>EL41 / Voreio Aigaio</labl>
			</catgry>
			<catgry>
				<catValu>1242</catValu>
				<labl>EL42 / Notio Aigaio</labl>
			</catgry>
			<catgry>
				<catValu>1243</catValu>
				<labl>EL43 / Kriti</labl>
			</catgry>
			<catgry>
				<catValu>1401</catValu>
				<labl>IE01 / Border, Midland and Western</labl>
			</catgry>
			<catgry>
				<catValu>1402</catValu>
				<labl>IE02 / Southern and Eastern</labl>
			</catgry>
			<catgry>
				<catValu>2211</catValu>
				<labl>PT11 / Norte</labl>
			</catgry>
			<catgry>
				<catValu>2215</catValu>
				<labl>PT15 / Algarve</labl>
			</catgry>
			<catgry>
				<catValu>2216</catValu>
				<labl>PT16 / Centro (P)</labl>
			</catgry>
			<catgry>
				<catValu>2217</catValu>
				<labl>PT17 / Lisboa</labl>
			</catgry>
			<catgry>
				<catValu>2218</catValu>
				<labl>PT18 / Alentejo</labl>
			</catgry>
			<catgry>
				<catValu>2220</catValu>
				<labl>PT20 / Região Autónoma dos Açores</labl>
			</catgry>
			<catgry>
				<catValu>2230</catValu>
				<labl>PT30 / Região Autónoma da Madeira</labl>
			</catgry>
			<catgry>
				<catValu>2311</catValu>
				<labl>RO11 / Nord-Vest</labl>
			</catgry>
			<catgry>
				<catValu>2312</catValu>
				<labl>RO12 / Centru</labl>
			</catgry>
			<catgry>
				<catValu>2321</catValu>
				<labl>RO21 / Nord-Est</labl>
			</catgry>
			<catgry>
				<catValu>2322</catValu>
				<labl>RO22 / Sud-Est</labl>
			</catgry>
			<catgry>
				<catValu>2331</catValu>
				<labl>RO31 / Sud - Muntenia</labl>
			</catgry>
			<catgry>
				<catValu>2332</catValu>
				<labl>RO32 / Bucuresti - Ilfov</labl>
			</catgry>
			<catgry>
				<catValu>2341</catValu>
				<labl>RO41 / Sud-Vest Oltenia</labl>
			</catgry>
			<catgry>
				<catValu>2342</catValu>
				<labl>RO42 / Vest</labl>
			</catgry>
			<catgry>
				<catValu>2501</catValu>
				<labl>SI01 / Vzhodna Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>2502</catValu>
				<labl>SI02 / Zahodna Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>3401</catValu>
				<labl>CH01 / Région Lémanique</labl>
			</catgry>
			<catgry>
				<catValu>3402</catValu>
				<labl>CH02 / Espace Mittelland</labl>
			</catgry>
			<catgry>
				<catValu>3403</catValu>
				<labl>CH03 / Nordwestschweiz</labl>
			</catgry>
			<catgry>
				<catValu>3404</catValu>
				<labl>CH04 / Zurich</labl>
			</catgry>
			<catgry>
				<catValu>3405</catValu>
				<labl>CH05 / Ostschweiz</labl>
			</catgry>
			<catgry>
				<catValu>3406</catValu>
				<labl>CH06 / Zentralschweiz</labl>
			</catgry>
			<catgry>
				<catValu>3407</catValu>
				<labl>CH07 / Ticino</labl>
			</catgry>
			<catgry>
				<catValu>3910</catValu>
				<labl>TR10 / Istanbul</labl>
			</catgry>
			<catgry>
				<catValu>3921</catValu>
				<labl>TR21 / Tekirdag, Edirne, Kirklareli</labl>
			</catgry>
			<catgry>
				<catValu>3922</catValu>
				<labl>TR22 / Balikesir, Çanakkale</labl>
			</catgry>
			<catgry>
				<catValu>3931</catValu>
				<labl>TR31 / Izmir</labl>
			</catgry>
			<catgry>
				<catValu>3932</catValu>
				<labl>TR32 / Aydin, Denizli, Mugla</labl>
			</catgry>
			<catgry>
				<catValu>3933</catValu>
				<labl>TR33 / Manisa, Afyonkarahisar, Kütahya, Usak</labl>
			</catgry>
			<catgry>
				<catValu>3941</catValu>
				<labl>TR41 / Bursa, Eskisehir, Bilecik</labl>
			</catgry>
			<catgry>
				<catValu>3942</catValu>
				<labl>TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova</labl>
			</catgry>
			<catgry>
				<catValu>3951</catValu>
				<labl>TR51 / Ankara</labl>
			</catgry>
			<catgry>
				<catValu>3952</catValu>
				<labl>TR52 / Konya, Karaman</labl>
			</catgry>
			<catgry>
				<catValu>3961</catValu>
				<labl>TR61 / Antalya, Isparta, Burdur</labl>
			</catgry>
			<catgry>
				<catValu>3962</catValu>
				<labl>TR62 / Adana, Mersin</labl>
			</catgry>
			<catgry>
				<catValu>3963</catValu>
				<labl>TR63 / Hatay, Kahramanmaras, Osmaniye</labl>
			</catgry>
			<catgry>
				<catValu>3971</catValu>
				<labl>TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir</labl>
			</catgry>
			<catgry>
				<catValu>3972</catValu>
				<labl>TR72 / Kayseri, Sivas, Yozgat</labl>
			</catgry>
			<catgry>
				<catValu>3981</catValu>
				<labl>TR81 / Zonguldak, Karabük, Bartin</labl>
			</catgry>
			<catgry>
				<catValu>3982</catValu>
				<labl>TR82 / Kastamonu, Çankiri, Sinop</labl>
			</catgry>
			<catgry>
				<catValu>3983</catValu>
				<labl>TR83 / Samsun, Tokat, Çorum, Amasya</labl>
			</catgry>
			<catgry>
				<catValu>3990</catValu>
				<labl>TR90 / Trabzon</labl>
			</catgry>
			<catgry>
				<catValu>3991</catValu>
				<labl>TRA1 / Erzurum, Erzincan, Bayburt</labl>
			</catgry>
			<catgry>
				<catValu>3992</catValu>
				<labl>TRA2 / Agri, Kars, Igdir, Ardahan</labl>
			</catgry>
			<catgry>
				<catValu>3993</catValu>
				<labl>TRB1 / Malatya, Elazig, Bingöl, Tunceli</labl>
			</catgry>
			<catgry>
				<catValu>3994</catValu>
				<labl>TRB2 / Van, Mus, Bitlis, Hakkari</labl>
			</catgry>
			<catgry>
				<catValu>3995</catValu>
				<labl>TRC1 / Gaziantep, Adiyaman, Kilis</labl>
			</catgry>
			<catgry>
				<catValu>3996</catValu>
				<labl>TRC2 / Sanliurfa, Diyarbakir</labl>
			</catgry>
			<catgry>
				<catValu>3997</catValu>
				<labl>TRC3 / Mardin, Batman, Sirnak, Siirt</labl>
			</catgry>
			<catgry>
				<catValu>9998</catValu>
				<labl>Response suppressed</labl>
			</catgry>
			<catgry>
				<catValu>9999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EBPLNT3" dcml="0" files="P" intrvl="discrete" name="EBPLNT3">
			<location EndPos="101" StartPos="97" width="5"></location>
			<labl>Region of birth, Europe, NUTS3</labl>
			<txt>EBPLNT3 indicates the NUTS3 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS3 identifies small territorial units: the third level within countries.

EBPLNT3 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.

The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.</txt>
			<catgry>
				<catValu>00000</catValu>
				<labl>NIU (Not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>09111</catValu>
				<labl>ES111 / A Coruña</labl>
			</catgry>
			<catgry>
				<catValu>09112</catValu>
				<labl>ES112 / Lugo</labl>
			</catgry>
			<catgry>
				<catValu>09113</catValu>
				<labl>ES113 / Ourense</labl>
			</catgry>
			<catgry>
				<catValu>09114</catValu>
				<labl>ES114 / Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>09120</catValu>
				<labl>ES120 / Asturias</labl>
			</catgry>
			<catgry>
				<catValu>09130</catValu>
				<labl>ES130 / Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>09211</catValu>
				<labl>ES211 / Álava</labl>
			</catgry>
			<catgry>
				<catValu>09212</catValu>
				<labl>ES212 / Guipúzcoa</labl>
			</catgry>
			<catgry>
				<catValu>09213</catValu>
				<labl>ES213 / Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>09220</catValu>
				<labl>ES220 / Navarra</labl>
			</catgry>
			<catgry>
				<catValu>09230</catValu>
				<labl>ES230 / La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>09241</catValu>
				<labl>ES241 / Huesca</labl>
			</catgry>
			<catgry>
				<catValu>09242</catValu>
				<labl>ES242 / Teruel</labl>
			</catgry>
			<catgry>
				<catValu>09243</catValu>
				<labl>ES243 / Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>09300</catValu>
				<labl>ES300 / Madrid</labl>
			</catgry>
			<catgry>
				<catValu>09411</catValu>
				<labl>ES411 / Ávila</labl>
			</catgry>
			<catgry>
				<catValu>09412</catValu>
				<labl>ES412 / Burgos</labl>
			</catgry>
			<catgry>
				<catValu>09413</catValu>
				<labl>ES413 / León</labl>
			</catgry>
			<catgry>
				<catValu>09414</catValu>
				<labl>ES414 / Palencia</labl>
			</catgry>
			<catgry>
				<catValu>09415</catValu>
				<labl>ES415 / Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>09416</catValu>
				<labl>ES416 / Segovia</labl>
			</catgry>
			<catgry>
				<catValu>09417</catValu>
				<labl>ES417 / Soria</labl>
			</catgry>
			<catgry>
				<catValu>09418</catValu>
				<labl>ES418 / Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>09419</catValu>
				<labl>ES419 / Zamora</labl>
			</catgry>
			<catgry>
				<catValu>09421</catValu>
				<labl>ES421 / Albacete</labl>
			</catgry>
			<catgry>
				<catValu>09422</catValu>
				<labl>ES422 / Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>09423</catValu>
				<labl>ES423 / Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>09424</catValu>
				<labl>ES424 / Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>09425</catValu>
				<labl>ES425 / Toledo</labl>
			</catgry>
			<catgry>
				<catValu>09431</catValu>
				<labl>ES431 / Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>09432</catValu>
				<labl>ES432 / Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>09511</catValu>
				<labl>ES511 / Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>09512</catValu>
				<labl>ES512 / Girona</labl>
			</catgry>
			<catgry>
				<catValu>09513</catValu>
				<labl>ES513 / Lleida</labl>
			</catgry>
			<catgry>
				<catValu>09514</catValu>
				<labl>ES514 / Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>09521</catValu>
				<labl>ES521 / Alicante/Alacant</labl>
			</catgry>
			<catgry>
				<catValu>09522</catValu>
				<labl>ES522 / Castellón/Castelló</labl>
			</catgry>
			<catgry>
				<catValu>09523</catValu>
				<labl>ES523 / Valencia/València</labl>
			</catgry>
			<catgry>
				<catValu>09532</catValu>
				<labl>ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera</labl>
			</catgry>
			<catgry>
				<catValu>09611</catValu>
				<labl>ES611 / Almería</labl>
			</catgry>
			<catgry>
				<catValu>09612</catValu>
				<labl>ES612 / Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>09613</catValu>
				<labl>ES613 / Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>09614</catValu>
				<labl>ES614 / Granada</labl>
			</catgry>
			<catgry>
				<catValu>09615</catValu>
				<labl>ES615 / Huelva</labl>
			</catgry>
			<catgry>
				<catValu>09616</catValu>
				<labl>ES616 / Jaén</labl>
			</catgry>
			<catgry>
				<catValu>09617</catValu>
				<labl>ES617 / Málaga</labl>
			</catgry>
			<catgry>
				<catValu>09618</catValu>
				<labl>ES618 / Sevilla</labl>
			</catgry>
			<catgry>
				<catValu>09620</catValu>
				<labl>ES620 / Murcia</labl>
			</catgry>
			<catgry>
				<catValu>09630</catValu>
				<labl>ES630 / Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>09640</catValu>
				<labl>ES640 / Melilla</labl>
			</catgry>
			<catgry>
				<catValu>09699</catValu>
				<labl>ES630 / Ceuta + ES640 / Melilla + Other Spanish territories</labl>
			</catgry>
			<catgry>
				<catValu>09705</catValu>
				<labl>ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote</labl>
			</catgry>
			<catgry>
				<catValu>09709</catValu>
				<labl>ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro</labl>
			</catgry>
			<catgry>
				<catValu>12111</catValu>
				<labl>EL111 / Evros</labl>
			</catgry>
			<catgry>
				<catValu>12112</catValu>
				<labl>EL112 / Xanthi</labl>
			</catgry>
			<catgry>
				<catValu>12113</catValu>
				<labl>EL113 / Rodopi</labl>
			</catgry>
			<catgry>
				<catValu>12114</catValu>
				<labl>EL114 / Drama</labl>
			</catgry>
			<catgry>
				<catValu>12115</catValu>
				<labl>EL115 / Kavala</labl>
			</catgry>
			<catgry>
				<catValu>12121</catValu>
				<labl>EL121 / Imathia</labl>
			</catgry>
			<catgry>
				<catValu>12122</catValu>
				<labl>EL122 / Thessaloniki</labl>
			</catgry>
			<catgry>
				<catValu>12123</catValu>
				<labl>EL123 / Kilkis</labl>
			</catgry>
			<catgry>
				<catValu>12124</catValu>
				<labl>EL124 / Pella</labl>
			</catgry>
			<catgry>
				<catValu>12125</catValu>
				<labl>EL125 / Pieria</labl>
			</catgry>
			<catgry>
				<catValu>12126</catValu>
				<labl>EL126 / Serres</labl>
			</catgry>
			<catgry>
				<catValu>12127</catValu>
				<labl>EL127 / Chalkidiki and Aghion Oros</labl>
			</catgry>
			<catgry>
				<catValu>12131</catValu>
				<labl>EL131 / ELevena</labl>
			</catgry>
			<catgry>
				<catValu>12132</catValu>
				<labl>EL132 / Kastoria</labl>
			</catgry>
			<catgry>
				<catValu>12133</catValu>
				<labl>EL133 / Kozani</labl>
			</catgry>
			<catgry>
				<catValu>12134</catValu>
				<labl>EL134 / Florina</labl>
			</catgry>
			<catgry>
				<catValu>12141</catValu>
				<labl>EL141 / Karditsa</labl>
			</catgry>
			<catgry>
				<catValu>12142</catValu>
				<labl>EL142 / Larissa</labl>
			</catgry>
			<catgry>
				<catValu>12143</catValu>
				<labl>EL143 / Magnissia</labl>
			</catgry>
			<catgry>
				<catValu>12144</catValu>
				<labl>EL144 / Trikala</labl>
			</catgry>
			<catgry>
				<catValu>12211</catValu>
				<labl>EL211 / Arta</labl>
			</catgry>
			<catgry>
				<catValu>12212</catValu>
				<labl>EL212 / Thesprotia</labl>
			</catgry>
			<catgry>
				<catValu>12213</catValu>
				<labl>EL213 / Ioannina</labl>
			</catgry>
			<catgry>
				<catValu>12214</catValu>
				<labl>EL214 / Preveza</labl>
			</catgry>
			<catgry>
				<catValu>12221</catValu>
				<labl>EL221 / Zakynthos</labl>
			</catgry>
			<catgry>
				<catValu>12222</catValu>
				<labl>EL222 / Kerkyra</labl>
			</catgry>
			<catgry>
				<catValu>12223</catValu>
				<labl>EL223 / Kefallinia</labl>
			</catgry>
			<catgry>
				<catValu>12224</catValu>
				<labl>EL224 / Lefkada</labl>
			</catgry>
			<catgry>
				<catValu>12231</catValu>
				<labl>EL231 / Etolia and Akarnania</labl>
			</catgry>
			<catgry>
				<catValu>12232</catValu>
				<labl>EL232 / Achaia</labl>
			</catgry>
			<catgry>
				<catValu>12233</catValu>
				<labl>EL233 / Ilia</labl>
			</catgry>
			<catgry>
				<catValu>12241</catValu>
				<labl>EL241 / Viotia</labl>
			</catgry>
			<catgry>
				<catValu>12242</catValu>
				<labl>EL242 / Evia</labl>
			</catgry>
			<catgry>
				<catValu>12243</catValu>
				<labl>EL243 / Evrytania</labl>
			</catgry>
			<catgry>
				<catValu>12244</catValu>
				<labl>EL244 / Fthiotida</labl>
			</catgry>
			<catgry>
				<catValu>12245</catValu>
				<labl>EL245 / Fokida</labl>
			</catgry>
			<catgry>
				<catValu>12251</catValu>
				<labl>EL251 / Argolida</labl>
			</catgry>
			<catgry>
				<catValu>12252</catValu>
				<labl>EL252 / Arkadia</labl>
			</catgry>
			<catgry>
				<catValu>12253</catValu>
				<labl>EL253 / Korinthia</labl>
			</catgry>
			<catgry>
				<catValu>12254</catValu>
				<labl>EL254 / Lakonia</labl>
			</catgry>
			<catgry>
				<catValu>12255</catValu>
				<labl>EL255 / Messinia</labl>
			</catgry>
			<catgry>
				<catValu>12300</catValu>
				<labl>EL300 / Attiki</labl>
			</catgry>
			<catgry>
				<catValu>12411</catValu>
				<labl>EL411 / Lesvos</labl>
			</catgry>
			<catgry>
				<catValu>12412</catValu>
				<labl>EL412 / Samos</labl>
			</catgry>
			<catgry>
				<catValu>12413</catValu>
				<labl>EL413 / Chios</labl>
			</catgry>
			<catgry>
				<catValu>12421</catValu>
				<labl>EL421 / Dodekanissos</labl>
			</catgry>
			<catgry>
				<catValu>12422</catValu>
				<labl>EL422 / Kyklades</labl>
			</catgry>
			<catgry>
				<catValu>12431</catValu>
				<labl>EL431 / Iraklio</labl>
			</catgry>
			<catgry>
				<catValu>12432</catValu>
				<labl>EL432 / Lassithi</labl>
			</catgry>
			<catgry>
				<catValu>12433</catValu>
				<labl>EL433 / Rethymno</labl>
			</catgry>
			<catgry>
				<catValu>12434</catValu>
				<labl>EL434 / Chania</labl>
			</catgry>
			<catgry>
				<catValu>14011</catValu>
				<labl>IE011 / Border</labl>
			</catgry>
			<catgry>
				<catValu>14012</catValu>
				<labl>IE012 / Midlands</labl>
			</catgry>
			<catgry>
				<catValu>14013</catValu>
				<labl>IE013 / West</labl>
			</catgry>
			<catgry>
				<catValu>14021</catValu>
				<labl>IE021 / Dublin</labl>
			</catgry>
			<catgry>
				<catValu>14022</catValu>
				<labl>IE022 / Mid-East</labl>
			</catgry>
			<catgry>
				<catValu>14023</catValu>
				<labl>IE023 / Mid-West</labl>
			</catgry>
			<catgry>
				<catValu>14024</catValu>
				<labl>IE024 / South-East</labl>
			</catgry>
			<catgry>
				<catValu>14025</catValu>
				<labl>IE025 / South-West</labl>
			</catgry>
			<catgry>
				<catValu>11111</catValu>
				<labl>PT111 / Minho-Lima</labl>
			</catgry>
			<catgry>
				<catValu>11112</catValu>
				<labl>PT112 / Cávado</labl>
			</catgry>
			<catgry>
				<catValu>11113</catValu>
				<labl>PT113 / Ave</labl>
			</catgry>
			<catgry>
				<catValu>11114</catValu>
				<labl>PT114 / Grande Porto</labl>
			</catgry>
			<catgry>
				<catValu>11115</catValu>
				<labl>PT115 / Tâmega</labl>
			</catgry>
			<catgry>
				<catValu>11116</catValu>
				<labl>PT116 / Entre Douro e Vouga</labl>
			</catgry>
			<catgry>
				<catValu>11117</catValu>
				<labl>PT117 / Douro</labl>
			</catgry>
			<catgry>
				<catValu>11118</catValu>
				<labl>PT118 / Alto Trás-os-Montes</labl>
			</catgry>
			<catgry>
				<catValu>15150</catValu>
				<labl>PT150 / Algarve</labl>
			</catgry>
			<catgry>
				<catValu>16161</catValu>
				<labl>PT161 / Baixo Vouga</labl>
			</catgry>
			<catgry>
				<catValu>16162</catValu>
				<labl>PT162 / Baixo Mondego</labl>
			</catgry>
			<catgry>
				<catValu>16163</catValu>
				<labl>PT163 / Pinhal Litoral</labl>
			</catgry>
			<catgry>
				<catValu>16164</catValu>
				<labl>PT164 / Pinhal Interior Norte</labl>
			</catgry>
			<catgry>
				<catValu>16165</catValu>
				<labl>PT165 / Dão-Lafões</labl>
			</catgry>
			<catgry>
				<catValu>16166</catValu>
				<labl>PT166 / Pinhal Interior Sul</labl>
			</catgry>
			<catgry>
				<catValu>16167</catValu>
				<labl>PT167 / Serra da Estrela</labl>
			</catgry>
			<catgry>
				<catValu>16168</catValu>
				<labl>PT168 / Beira Interior Norte</labl>
			</catgry>
			<catgry>
				<catValu>16169</catValu>
				<labl>PT169 / Beira Interior Sul</labl>
			</catgry>
			<catgry>
				<catValu>17171</catValu>
				<labl>PT171 / Grande Lisboa</labl>
			</catgry>
			<catgry>
				<catValu>17172</catValu>
				<labl>PT172 / Península de Setúbal</labl>
			</catgry>
			<catgry>
				<catValu>18181</catValu>
				<labl>PT181 / Alentejo Litoral</labl>
			</catgry>
			<catgry>
				<catValu>18182</catValu>
				<labl>PT182 / Alto Alentejo</labl>
			</catgry>
			<catgry>
				<catValu>18183</catValu>
				<labl>PT183 / Alentejo Central</labl>
			</catgry>
			<catgry>
				<catValu>18184</catValu>
				<labl>PT184 / Baixo Alentejo</labl>
			</catgry>
			<catgry>
				<catValu>18185</catValu>
				<labl>PT185 / Lezíria do Tejo</labl>
			</catgry>
			<catgry>
				<catValu>16170</catValu>
				<labl>PT16A / Cova da Beira</labl>
			</catgry>
			<catgry>
				<catValu>16171</catValu>
				<labl>PT16B / Oeste</labl>
			</catgry>
			<catgry>
				<catValu>16172</catValu>
				<labl>PT16C / Médio Tejo</labl>
			</catgry>
			<catgry>
				<catValu>20200</catValu>
				<labl>PT200 / Região Autónoma dos Açores</labl>
			</catgry>
			<catgry>
				<catValu>30300</catValu>
				<labl>PT300 / Região Autónoma da Madeira</labl>
			</catgry>
			<catgry>
				<catValu>23111</catValu>
				<labl>RO111 / Bihor</labl>
			</catgry>
			<catgry>
				<catValu>23112</catValu>
				<labl>RO112 / Bistrita Nasaud</labl>
			</catgry>
			<catgry>
				<catValu>23113</catValu>
				<labl>RO113 / Cluj</labl>
			</catgry>
			<catgry>
				<catValu>23114</catValu>
				<labl>RO114 / Maramures</labl>
			</catgry>
			<catgry>
				<catValu>23115</catValu>
				<labl>RO115 / Satu Mare</labl>
			</catgry>
			<catgry>
				<catValu>23116</catValu>
				<labl>RO116 / Salaj</labl>
			</catgry>
			<catgry>
				<catValu>23121</catValu>
				<labl>RO121 / Alba</labl>
			</catgry>
			<catgry>
				<catValu>23122</catValu>
				<labl>RO122 / Brasov</labl>
			</catgry>
			<catgry>
				<catValu>23123</catValu>
				<labl>RO123 / Covasna</labl>
			</catgry>
			<catgry>
				<catValu>23124</catValu>
				<labl>RO124 / Harghita</labl>
			</catgry>
			<catgry>
				<catValu>23125</catValu>
				<labl>RO125 / Mures</labl>
			</catgry>
			<catgry>
				<catValu>23126</catValu>
				<labl>RO126 / Sibiu</labl>
			</catgry>
			<catgry>
				<catValu>23211</catValu>
				<labl>RO211 / Bacau</labl>
			</catgry>
			<catgry>
				<catValu>23212</catValu>
				<labl>RO212 / Botosani</labl>
			</catgry>
			<catgry>
				<catValu>23213</catValu>
				<labl>RO213 / Iasi</labl>
			</catgry>
			<catgry>
				<catValu>23214</catValu>
				<labl>RO214 / Neamt</labl>
			</catgry>
			<catgry>
				<catValu>23215</catValu>
				<labl>RO215 / Suceava</labl>
			</catgry>
			<catgry>
				<catValu>23216</catValu>
				<labl>RO216 / Vaslui</labl>
			</catgry>
			<catgry>
				<catValu>23221</catValu>
				<labl>RO221 / Braila</labl>
			</catgry>
			<catgry>
				<catValu>23222</catValu>
				<labl>RO222 / Buzau</labl>
			</catgry>
			<catgry>
				<catValu>23223</catValu>
				<labl>RO223 / Constanta</labl>
			</catgry>
			<catgry>
				<catValu>23224</catValu>
				<labl>RO224 / Galati</labl>
			</catgry>
			<catgry>
				<catValu>23225</catValu>
				<labl>RO225 / Tulcea</labl>
			</catgry>
			<catgry>
				<catValu>23226</catValu>
				<labl>RO226 / Vrancea</labl>
			</catgry>
			<catgry>
				<catValu>23311</catValu>
				<labl>RO311 / Arges</labl>
			</catgry>
			<catgry>
				<catValu>23312</catValu>
				<labl>RO312 / Calarasi</labl>
			</catgry>
			<catgry>
				<catValu>23313</catValu>
				<labl>RO313 / Dimbovita</labl>
			</catgry>
			<catgry>
				<catValu>23314</catValu>
				<labl>RO314 / Giurgiu</labl>
			</catgry>
			<catgry>
				<catValu>23315</catValu>
				<labl>RO315 / Ialomita</labl>
			</catgry>
			<catgry>
				<catValu>23316</catValu>
				<labl>RO316 / Prahova</labl>
			</catgry>
			<catgry>
				<catValu>23317</catValu>
				<labl>RO317 / Teleorman</labl>
			</catgry>
			<catgry>
				<catValu>23321</catValu>
				<labl>RO321 / Bucuresti</labl>
			</catgry>
			<catgry>
				<catValu>23322</catValu>
				<labl>RO322 / Ilfov</labl>
			</catgry>
			<catgry>
				<catValu>23411</catValu>
				<labl>RO411 / Dolj</labl>
			</catgry>
			<catgry>
				<catValu>23412</catValu>
				<labl>RO412 / Gorj</labl>
			</catgry>
			<catgry>
				<catValu>23413</catValu>
				<labl>RO413 / Mehedinti</labl>
			</catgry>
			<catgry>
				<catValu>23414</catValu>
				<labl>RO414 / Olt</labl>
			</catgry>
			<catgry>
				<catValu>23415</catValu>
				<labl>RO415 / Valcea</labl>
			</catgry>
			<catgry>
				<catValu>23421</catValu>
				<labl>RO421 / Arad</labl>
			</catgry>
			<catgry>
				<catValu>23422</catValu>
				<labl>RO422 / Caras Severin</labl>
			</catgry>
			<catgry>
				<catValu>23423</catValu>
				<labl>RO423 / Hunedoara</labl>
			</catgry>
			<catgry>
				<catValu>23424</catValu>
				<labl>RO424 / Timis</labl>
			</catgry>
			<catgry>
				<catValu>25011</catValu>
				<labl>SI011 / Pomurska</labl>
			</catgry>
			<catgry>
				<catValu>25012</catValu>
				<labl>SI012 / Podravska</labl>
			</catgry>
			<catgry>
				<catValu>25013</catValu>
				<labl>SI013 / Koroska</labl>
			</catgry>
			<catgry>
				<catValu>25014</catValu>
				<labl>SI014 / Savinjska</labl>
			</catgry>
			<catgry>
				<catValu>25015</catValu>
				<labl>SI015 / Zasavska</labl>
			</catgry>
			<catgry>
				<catValu>25016</catValu>
				<labl>SI016 / Spodnjeposavska</labl>
			</catgry>
			<catgry>
				<catValu>25017</catValu>
				<labl>SI017 / Jugovzhodna Slovenija</labl>
			</catgry>
			<catgry>
				<catValu>25018</catValu>
				<labl>SI018 / Notranjsko-kraska</labl>
			</catgry>
			<catgry>
				<catValu>25021</catValu>
				<labl>SI021 / Osrednjeslovenska</labl>
			</catgry>
			<catgry>
				<catValu>25022</catValu>
				<labl>SI022 / Gorenjska</labl>
			</catgry>
			<catgry>
				<catValu>25023</catValu>
				<labl>SI023 / Goriska</labl>
			</catgry>
			<catgry>
				<catValu>25024</catValu>
				<labl>SI024 / Obalno-kraska</labl>
			</catgry>
			<catgry>
				<catValu>34011</catValu>
				<labl>CH011 / Vaud</labl>
			</catgry>
			<catgry>
				<catValu>34012</catValu>
				<labl>CH012 / Valais</labl>
			</catgry>
			<catgry>
				<catValu>34013</catValu>
				<labl>CH013 / Geneva</labl>
			</catgry>
			<catgry>
				<catValu>34021</catValu>
				<labl>CH021 / Bern</labl>
			</catgry>
			<catgry>
				<catValu>34022</catValu>
				<labl>CH022 / Freiburg</labl>
			</catgry>
			<catgry>
				<catValu>34023</catValu>
				<labl>CH023 / Solothurn</labl>
			</catgry>
			<catgry>
				<catValu>34024</catValu>
				<labl>CH024 / Neuchatel</labl>
			</catgry>
			<catgry>
				<catValu>34025</catValu>
				<labl>CH025 / Jura</labl>
			</catgry>
			<catgry>
				<catValu>34031</catValu>
				<labl>CH031 / Basel-Stadt</labl>
			</catgry>
			<catgry>
				<catValu>34032</catValu>
				<labl>CH032 / Basel-Landschaft</labl>
			</catgry>
			<catgry>
				<catValu>34033</catValu>
				<labl>CH033 / Aargau</labl>
			</catgry>
			<catgry>
				<catValu>34040</catValu>
				<labl>CH040 / Zurich</labl>
			</catgry>
			<catgry>
				<catValu>34051</catValu>
				<labl>CH051 / Glarus</labl>
			</catgry>
			<catgry>
				<catValu>34052</catValu>
				<labl>CH052 / Schaffhausen</labl>
			</catgry>
			<catgry>
				<catValu>34053</catValu>
				<labl>CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden</labl>
			</catgry>
			<catgry>
				<catValu>34055</catValu>
				<labl>CH055 / St. Gallen</labl>
			</catgry>
			<catgry>
				<catValu>34056</catValu>
				<labl>CH056 / Graubunden</labl>
			</catgry>
			<catgry>
				<catValu>34057</catValu>
				<labl>CH057 / Thurgau</labl>
			</catgry>
			<catgry>
				<catValu>34061</catValu>
				<labl>CH061 / Luzern</labl>
			</catgry>
			<catgry>
				<catValu>34062</catValu>
				<labl>CH062 / Uri</labl>
			</catgry>
			<catgry>
				<catValu>34063</catValu>
				<labl>CH063 / Schwyz</labl>
			</catgry>
			<catgry>
				<catValu>34064</catValu>
				<labl>CH064 / Obwalden</labl>
			</catgry>
			<catgry>
				<catValu>34065</catValu>
				<labl>CH065 / Nidwalden</labl>
			</catgry>
			<catgry>
				<catValu>34066</catValu>
				<labl>CH066 / Zug</labl>
			</catgry>
			<catgry>
				<catValu>34070</catValu>
				<labl>CH070 / Ticino</labl>
			</catgry>
			<catgry>
				<catValu>39100</catValu>
				<labl>TR100 / Istanbul</labl>
			</catgry>
			<catgry>
				<catValu>39211</catValu>
				<labl>TR211 / Tekirdag</labl>
			</catgry>
			<catgry>
				<catValu>39212</catValu>
				<labl>TR212 / Edirne</labl>
			</catgry>
			<catgry>
				<catValu>39213</catValu>
				<labl>TR213 / Kirklareli</labl>
			</catgry>
			<catgry>
				<catValu>39221</catValu>
				<labl>TR221 / Balikesir</labl>
			</catgry>
			<catgry>
				<catValu>39222</catValu>
				<labl>TR222 / Çanakkale</labl>
			</catgry>
			<catgry>
				<catValu>39310</catValu>
				<labl>TR310 / Izmir</labl>
			</catgry>
			<catgry>
				<catValu>39321</catValu>
				<labl>TR321 / Aydin</labl>
			</catgry>
			<catgry>
				<catValu>39322</catValu>
				<labl>TR322 / Denizli</labl>
			</catgry>
			<catgry>
				<catValu>39323</catValu>
				<labl>TR323 / Mugla</labl>
			</catgry>
			<catgry>
				<catValu>39331</catValu>
				<labl>TR331 / Manisa</labl>
			</catgry>
			<catgry>
				<catValu>39332</catValu>
				<labl>TR332 / Afyon</labl>
			</catgry>
			<catgry>
				<catValu>39333</catValu>
				<labl>TR333 / Kütahya</labl>
			</catgry>
			<catgry>
				<catValu>39334</catValu>
				<labl>TR334 / Usak</labl>
			</catgry>
			<catgry>
				<catValu>39411</catValu>
				<labl>TR411 / Bursa</labl>
			</catgry>
			<catgry>
				<catValu>39412</catValu>
				<labl>TR412 / Eskisehir</labl>
			</catgry>
			<catgry>
				<catValu>39413</catValu>
				<labl>TR413 / Bilecik</labl>
			</catgry>
			<catgry>
				<catValu>39421</catValu>
				<labl>TR421 / Kocaeli</labl>
			</catgry>
			<catgry>
				<catValu>39422</catValu>
				<labl>TR422 / Sakarya</labl>
			</catgry>
			<catgry>
				<catValu>39423</catValu>
				<labl>TR423 / Düzce</labl>
			</catgry>
			<catgry>
				<catValu>39424</catValu>
				<labl>TR424 / Bolu</labl>
			</catgry>
			<catgry>
				<catValu>39425</catValu>
				<labl>TR425 / Yalova</labl>
			</catgry>
			<catgry>
				<catValu>39510</catValu>
				<labl>TR510 / Ankara</labl>
			</catgry>
			<catgry>
				<catValu>39521</catValu>
				<labl>TR521 / Konya</labl>
			</catgry>
			<catgry>
				<catValu>39522</catValu>
				<labl>TR522 / Karaman</labl>
			</catgry>
			<catgry>
				<catValu>39611</catValu>
				<labl>TR611 / Antalya</labl>
			</catgry>
			<catgry>
				<catValu>39612</catValu>
				<labl>TR612 / Isparta</labl>
			</catgry>
			<catgry>
				<catValu>39613</catValu>
				<labl>TR613 / Burdur</labl>
			</catgry>
			<catgry>
				<catValu>39621</catValu>
				<labl>TR621 / Adana</labl>
			</catgry>
			<catgry>
				<catValu>39622</catValu>
				<labl>TR622 / Içel (Mersin)</labl>
			</catgry>
			<catgry>
				<catValu>39631</catValu>
				<labl>TR631 / Hatay</labl>
			</catgry>
			<catgry>
				<catValu>39632</catValu>
				<labl>TR632 / Kahramanmaras</labl>
			</catgry>
			<catgry>
				<catValu>39633</catValu>
				<labl>TR633 / Osmaniye</labl>
			</catgry>
			<catgry>
				<catValu>39711</catValu>
				<labl>TR711 / Kirikkale</labl>
			</catgry>
			<catgry>
				<catValu>39712</catValu>
				<labl>TR712 / Aksaray</labl>
			</catgry>
			<catgry>
				<catValu>39713</catValu>
				<labl>TR713 / Nigde</labl>
			</catgry>
			<catgry>
				<catValu>39714</catValu>
				<labl>TR714 / Nevsehir</labl>
			</catgry>
			<catgry>
				<catValu>39715</catValu>
				<labl>TR715 / Kirsehir</labl>
			</catgry>
			<catgry>
				<catValu>39721</catValu>
				<labl>TR721 / Kayseri</labl>
			</catgry>
			<catgry>
				<catValu>39722</catValu>
				<labl>TR722 / Sivas</labl>
			</catgry>
			<catgry>
				<catValu>39723</catValu>
				<labl>TR723 / Yozgat</labl>
			</catgry>
			<catgry>
				<catValu>39811</catValu>
				<labl>TR811 / Zonguldak</labl>
			</catgry>
			<catgry>
				<catValu>39812</catValu>
				<labl>TR812 / Karabük</labl>
			</catgry>
			<catgry>
				<catValu>39813</catValu>
				<labl>TR813 / Bartin</labl>
			</catgry>
			<catgry>
				<catValu>39821</catValu>
				<labl>TR821 / Kastamonu</labl>
			</catgry>
			<catgry>
				<catValu>39822</catValu>
				<labl>TR822 / Çankiri</labl>
			</catgry>
			<catgry>
				<catValu>39823</catValu>
				<labl>TR823 / Sinop</labl>
			</catgry>
			<catgry>
				<catValu>39831</catValu>
				<labl>TR831 / Samsun</labl>
			</catgry>
			<catgry>
				<catValu>39832</catValu>
				<labl>TR832 / Tokat</labl>
			</catgry>
			<catgry>
				<catValu>39833</catValu>
				<labl>TR833 / Çorum</labl>
			</catgry>
			<catgry>
				<catValu>39834</catValu>
				<labl>TR834 / Amasya</labl>
			</catgry>
			<catgry>
				<catValu>39901</catValu>
				<labl>TR901 / Trabzon</labl>
			</catgry>
			<catgry>
				<catValu>39902</catValu>
				<labl>TR902 / Ordu</labl>
			</catgry>
			<catgry>
				<catValu>39903</catValu>
				<labl>TR903 / Giresun</labl>
			</catgry>
			<catgry>
				<catValu>39904</catValu>
				<labl>TR904 / Rize</labl>
			</catgry>
			<catgry>
				<catValu>39905</catValu>
				<labl>TR905 / Artvin</labl>
			</catgry>
			<catgry>
				<catValu>39906</catValu>
				<labl>TR906 / Gümüshane</labl>
			</catgry>
			<catgry>
				<catValu>39910</catValu>
				<labl>TRA11 / Erzurum</labl>
			</catgry>
			<catgry>
				<catValu>39911</catValu>
				<labl>TRA12 / Erzincan</labl>
			</catgry>
			<catgry>
				<catValu>39912</catValu>
				<labl>TRA13 / Bayburt</labl>
			</catgry>
			<catgry>
				<catValu>39921</catValu>
				<labl>TRA21 / Agri</labl>
			</catgry>
			<catgry>
				<catValu>39922</catValu>
				<labl>TRA22 / Kars</labl>
			</catgry>
			<catgry>
				<catValu>39923</catValu>
				<labl>TRA23 / Igdir</labl>
			</catgry>
			<catgry>
				<catValu>39924</catValu>
				<labl>TRA24 / Ardahan</labl>
			</catgry>
			<catgry>
				<catValu>39931</catValu>
				<labl>TRB11 / Malatya</labl>
			</catgry>
			<catgry>
				<catValu>39932</catValu>
				<labl>TRB12 / Elazig</labl>
			</catgry>
			<catgry>
				<catValu>39933</catValu>
				<labl>TRB13 / Bingöl</labl>
			</catgry>
			<catgry>
				<catValu>39934</catValu>
				<labl>TRB14 / Tunceli</labl>
			</catgry>
			<catgry>
				<catValu>39941</catValu>
				<labl>TRB21 / Van</labl>
			</catgry>
			<catgry>
				<catValu>39942</catValu>
				<labl>TRB22 / Mus</labl>
			</catgry>
			<catgry>
				<catValu>39943</catValu>
				<labl>TRB23 / Bitlis</labl>
			</catgry>
			<catgry>
				<catValu>39944</catValu>
				<labl>TRB24 / Hakkari</labl>
			</catgry>
			<catgry>
				<catValu>39951</catValu>
				<labl>TRC11 / Gaziantep</labl>
			</catgry>
			<catgry>
				<catValu>39952</catValu>
				<labl>TRC12 / Adiyaman</labl>
			</catgry>
			<catgry>
				<catValu>39953</catValu>
				<labl>TRC13 / Kilis</labl>
			</catgry>
			<catgry>
				<catValu>39961</catValu>
				<labl>TRC21 / Sanliurfa</labl>
			</catgry>
			<catgry>
				<catValu>39962</catValu>
				<labl>TRC22 / Diyarbakir</labl>
			</catgry>
			<catgry>
				<catValu>39971</catValu>
				<labl>TRC31 / Mardin</labl>
			</catgry>
			<catgry>
				<catValu>39972</catValu>
				<labl>TRC32 / Batman</labl>
			</catgry>
			<catgry>
				<catValu>39973</catValu>
				<labl>TRC33 / Sirnak</labl>
			</catgry>
			<catgry>
				<catValu>39974</catValu>
				<labl>TRC34 / Siirt</labl>
			</catgry>
			<catgry>
				<catValu>99998</catValu>
				<labl>Response suppressed</labl>
			</catgry>
			<catgry>
				<catValu>99999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="SCHOOL" dcml="0" files="P" intrvl="discrete" name="SCHOOL">
			<location EndPos="102" StartPos="102" width="1"></location>
			<labl>School attendance</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="LIT" dcml="0" files="P" intrvl="discrete" name="LIT">
			<location EndPos="103" StartPos="103" width="1"></location>
			<labl>Literacy</labl>
			<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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EDATTAIN" dcml="0" files="P" intrvl="discrete" name="EDATTAIN">
			<location EndPos="104" StartPos="104" width="1"></location>
			<labl>Educational attainment, international recode [general version]</labl>
			<txt>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EDATTAIND" dcml="0" files="P" intrvl="discrete" name="EDATTAIND">
			<location EndPos="107" StartPos="105" width="3"></location>
			<labl>Educational attainment, international recode [detailed version]</labl>
			<txt>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>000</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EDUCES" dcml="0" files="P" intrvl="discrete" name="EDUCES">
			<location EndPos="110" StartPos="108" width="3"></location>
			<labl>Educational attainment, Spain</labl>
			<txt>EDUCES indicates the person's educational attainment in Spain in terms of the level of schooling completed.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>100</catValu>
				<labl>None</labl>
			</catgry>
			<catgry>
				<catValu>200</catValu>
				<labl>Basic (primary) education</labl>
			</catgry>
			<catgry>
				<catValu>201</catValu>
				<labl>Less than 5-year primary approved</labl>
			</catgry>
			<catgry>
				<catValu>202</catValu>
				<labl>Grades 1-5 approved</labl>
			</catgry>
			<catgry>
				<catValu>203</catValu>
				<labl>Grades 1-8 approved</labl>
			</catgry>
			<catgry>
				<catValu>300</catValu>
				<labl>Middle (secondary) education</labl>
			</catgry>
			<catgry>
				<catValu>310</catValu>
				<labl>Higher level secondary (grades 9-12)</labl>
			</catgry>
			<catgry>
				<catValu>320</catValu>
				<labl>Basic formation (years 1-2)</labl>
			</catgry>
			<catgry>
				<catValu>400</catValu>
				<labl>Post-secondary</labl>
			</catgry>
			<catgry>
				<catValu>410</catValu>
				<labl>Higher formation (years 3-5)</labl>
			</catgry>
			<catgry>
				<catValu>421</catValu>
				<labl>Some technical higher education</labl>
			</catgry>
			<catgry>
				<catValu>422</catValu>
				<labl>Technical higher education completed</labl>
			</catgry>
			<catgry>
				<catValu>431</catValu>
				<labl>Some undergraduate college (and graduate education 1981)</labl>
			</catgry>
			<catgry>
				<catValu>432</catValu>
				<labl>Undergraduate college graduate (and graduate education 1981)</labl>
			</catgry>
			<catgry>
				<catValu>440</catValu>
				<labl>Non-university higher education degrees</labl>
			</catgry>
			<catgry>
				<catValu>450</catValu>
				<labl>Post-graduate studies</labl>
			</catgry>
			<catgry>
				<catValu>460</catValu>
				<labl>Master degree or equivalent</labl>
			</catgry>
			<catgry>
				<catValu>470</catValu>
				<labl>Doctoral studies</labl>
			</catgry>
			<catgry>
				<catValu>999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EEDATTAIN" dcml="0" files="P" intrvl="discrete" name="EEDATTAIN">
			<location EndPos="112" StartPos="111" width="2"></location>
			<labl>Educational attainment, Europe</labl>
			<txt>EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. 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. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities.

EEDATTAIN 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.  EEDATTAIN 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 EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country. 

Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL.

EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Less than primary</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Primary (first stage of basic education)</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Lower secondary (second stage of basic education)</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Upper secondary</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Post-secondary non-tertiary education</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>University completed</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>Unknown/missing</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EMPSTAT" dcml="0" files="P" intrvl="discrete" name="EMPSTAT">
			<location EndPos="113" StartPos="113" width="1"></location>
			<labl>Activity status (employment status) [general version]</labl>
			<txt>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EMPSTATD" dcml="0" files="P" intrvl="discrete" name="EMPSTATD">
			<location EndPos="116" StartPos="114" width="3"></location>
			<labl>Activity status (employment status) [detailed version]</labl>
			<txt>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>000</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 or health reasons</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="EEMPSTAT" dcml="0" files="P" intrvl="discrete" name="EEMPSTAT">
			<location EndPos="119" StartPos="117" width="3"></location>
			<labl>Activity status (employment status), Europe</labl>
			<txt>EEMPSTAT indicates for the European samples 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, EEMPSTAT can also convey further information.

EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices.

The economically active population constitutes the total labor force: employed and unemployed persons.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>110</catValu>
				<labl>Employed</labl>
			</catgry>
			<catgry>
				<catValu>120</catValu>
				<labl>Unemployed</labl>
			</catgry>
			<catgry>
				<catValu>121</catValu>
				<labl>Unemployed, never worked before</labl>
			</catgry>
			<catgry>
				<catValu>200</catValu>
				<labl>Not economically active, unspecified</labl>
			</catgry>
			<catgry>
				<catValu>210</catValu>
				<labl>Students</labl>
			</catgry>
			<catgry>
				<catValu>220</catValu>
				<labl>Pension or capital income recipients</labl>
			</catgry>
			<catgry>
				<catValu>230</catValu>
				<labl>Homemakers</labl>
			</catgry>
			<catgry>
				<catValu>240</catValu>
				<labl>Others</labl>
			</catgry>
			<catgry>
				<catValu>999</catValu>
				<labl>Unknown / missing</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="LABFORCE" dcml="0" files="P" intrvl="discrete" name="LABFORCE">
			<location EndPos="120" StartPos="120" width="1"></location>
			<labl>Labor force participation</labl>
			<txt>LABFORCE is a dichotomous variable identifying whether a person participated in the labor force.  Labor force participation generally means working or seeking work within a specified reference period.

For most samples LABFORCE is a recode of EMPSTAT (employment status).  A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>No, not in the labor force</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Yes, in the labor force</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="OCCISCO" dcml="0" files="P" intrvl="discrete" name="OCCISCO">
			<location EndPos="122" StartPos="121" width="2"></location>
			<labl>Occupation, ISCO general</labl>
			<txt>OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>Legislators, senior officials and managers</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Professionals</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Technicians and associate professionals</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Clerks</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Service workers and shop and market sales</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Skilled agricultural and fishery workers</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Crafts and related trades workers</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Plant and machine operators and assemblers</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Elementary occupations</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Armed forces</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Other occupations, unspecified or n.e.c.</labl>
			</catgry>
			<catgry>
				<catValu>97</catValu>
				<labl>Response suppressed</labl>
			</catgry>
			<catgry>
				<catValu>98</catValu>
				<labl>Unknown</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="OCC" dcml="0" files="P" intrvl="contin" name="OCC">
			<location EndPos="126" StartPos="123" width="4"></location>
			<labl>Occupation, unrecoded</labl>
			<txt>OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.

To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.</txt>
			<codInstr>OCC is a 4-digit numeric variable.

Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.

		
CodesArgentina 1970 - Spanish
Argentina 1980 - Spanish
Argentina 1991 - Spanish
Argentina 2001 - Spanish
Armenia 2011
Austria 1971-2001 - German
Belarus 1999 - Russian
Belarus 2009
Benin 1979
Benin 1992
Benin 2002
Benin 2013
Bolivia 1976
Bolivia 1992
Bolivia 2001
Bolivia 2012
Botswana 1981
Botswana 1991
Botswana 2001
Botswana 2011
Brazil 1960 - Portuguese
Brazil 1970 - Portuguese
Brazil 1980 - Portuguese
Brazil 1991 - Portuguese
Brazil 2000 - Portuguese
Brazil 2010
Burkina Faso 1985
Burkina Faso 1996
Cambodia 1998
Cambodia 2004
Cambodia 2008
Cambodia 2013
Cambodia 2019
Cameroon 1976
Cameroon 2005
Canada 1971
Canada 1981-1991
Canada 2001
Canada 2011
Chile 1960 
Chile 1970 
Chile 1982 
Chile 1992 
Chile 2002 
China 1982
China 1990
China 2000
Colombia 1964
Colombia 1973 - Spanish
Costa Rica 1973 
Costa Rica 1984 
Costa Rica 2000 
Costa Rica 2011
Cote d'Ivoire 1988
Cote d'Ivoire 1998
Cuba 2002
Cuba 2012
Denmark 1845
Denmark 1880
Denmark 1885
Dominican Republic 1960
Dominican Republic 1970
Dominican Republic 1981
Dominican Republic 2002
Dominican Republic 2010
Ecuador 1962
Ecuador 1974
Ecuador 1982
Ecuador 1990
Ecuador 2001
Ecuador 2010
Egypt 1986
Egypt 2006
El Salvador 1992
El Salvador 2007
Ethiopia 1984
Ethiopia 1994
Fiji 1976
Fiji 1986
Fiji 1996
Fiji 2007
Fiji 2014
Finland 2010
France 1962-1990 - French
France 1999
France 2006
France 2011
Germany 1970
Germany 1981
Germany 1987
Ghana 1984
Ghana 2000
Ghana 2010
Greece 1971-1991  - Greek
Greece 2001  - Greek
Greece 2011
Guatemala 1964
Guatemala 1973
Guatemala 1981
Guatemala 1994
Guatemala 2002
Guinea 1983
Guinea 1996
Guinea 2014
Haiti 1982
Haiti 2003
Honduras 1961
Honduras 1974
Honduras 1988
Honduras 2001
Hungary 1970-1990
Hungary 2001
Hungary 2011
India 1983-2004
India 2009
Indonesia 1971
Indonesia 1976
Indonesia 1980
Indonesia 1985
Indonesia 1990
Indonesia 1995
Indonesia 2005
Iran 2006
Iran 2011
Iraq 1997
Ireland 1901
Ireland 1911
Ireland 1971
Ireland 1981
Ireland 1986
Ireland 1991
Ireland 1996
Ireland 2002
Ireland 2006
Ireland 2011
Ireland 2016
Israel 1972
Israel 1983
Israel 1995
Israel 2008
Italy 2001
Italy 2011
Italy Surveys 2011-2020
Jamaica 1982
Jamaica 1991
Jamaica 2001
Jordan 2004
Kenya 1989
Kyrgyz Republic 1999
Laos 1995
Lesotho 1996
Lesotho 2006
Liberia 1974
Liberia 2008
Malawi 1987
Malawi 1998
Malawi 2008
Malaysia 1970
Malaysia 1980-1991
Malaysia 2000
Mali 1987
 Mali 1998
Mali 2009
Mauritius 1990
Mauritius 2000
Mauritius 2011
Mexico 1960 - Spanish
Mexico 1970 - Spanish
Mexico 1990 - Spanish
Mexico 1995 - Spanish
Mexico 2000 - Spanish
Mexico 2010
Mexico 2015
Mexico 2020
Mexico Surveys 2005-2020
Mongolia 2000
Morocco 1982
Morocco 1994
Morocco 2004
Morocco 2014
Mozambique 1997
Mozambique 2007
Myanmar 2014
Nepal 2001
Nepal 2011
Netherlands 1960
Netherlands 1971
Netherlands 2001
Netherlands 2011
Nicaragua 1971
Nicaragua 1995
Nicaragua 2005
Nigeria 2008
Nigeria 2009
Nigeria 2010
Pakistan 1973
Palestine 1997
Palestine 2007
Palestine 2017
Panama 1960 - Spanish
Panama 1970 - Spanish
Panama 1980 - Spanish
Panama 1990 - Spanish
Panama 2000 - Spanish
Panama 2010
Papua New Guinea 1980
Papua New Guinea 1990
Papua New Guinea 2000
Paraguay 1962
Paraguay 1972
Paraguay 1982
Paraguay 1992
Paraguay 2002
Peru 1993
Peru 2007
Peru 2017
Philippines 1990
Philippines 2000 
Philippines 2010 
Poland 1978
Poland 1988
Poland 2002
Portugal 1981 - Portuguese
Portugal 1991 - Portuguese
Portugal 2001 - Portuguese
Portugal 2011
Puerto Rico 1970
Puerto Rico 1980
Puerto Rico 1990
Puerto Rico 2000-2005
Puerto Rico 2010
Puerto Rico 2015
Puerto Rico 2020
Romania 1977
Romania 1992 
Romania 2002
Romania 2011
Rwanda 2002 - French
Rwanda 2012
Saint Lucia 1991
Senegal 1988
Senegal 2002
Senegal 2013
Slovak Republic 1991
 Slovak Republic 2001
 Slovak Republic 2011
Sierra Leone 2004
Sierra Leone 2015
Slovenia 2002
South Africa 1996 
South Africa 2001 
South Africa 2007
South Sudan 2008
Spain 1981 - Spanish
Spain 1991 - Spanish
Spain 2001 - Spanish
Spain 2011 
Spain Surveys 2005-2020 
Sudan 2008
Suriname 2004
Suriname 2012
Switzerland 1970
Switzerland 1980
Switzerland 1990
Switzerland 2000
Switzerland 2011
Tanzania 1988
Tanzania 2002
Tanzania 2012
Thailand 1970
Thailand 1980
Thailand 1990
Thailand 2000
Togo 1960
Togo 1970
Togo 2010
Trinidad and Tobago 1990
Trinidad and Tobago 2000
Trinidad and Tobago 2011
Turkey 1985
Turkey 1990
Turkey 2000
Uganda 1991
Uganda 2002
Uganda 2014
United Kingdom 1961
United Kingdom 1971
United Kingdom 1991
United Kingdom 2001
United States 1960
United States 1970
United States 1980
United States 1990
United States 2000-2005
United States 2010
United States 2015
United States 2020
Uruguay 1963
Uruguay 1975
Uruguay 1996
Uruguay 2006
Venezuela 1981 
Venezuela 1990 
Venezuela 2001 - Spanish
Vietnam 1989
Vietnam 1999
Vietnam 2009
Vietnam 2019
Zambia 1990
Zambia 2000
Zambia 2010
Zimbabwe 2012</codInstr>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="INDGEN" dcml="0" files="P" intrvl="discrete" name="INDGEN">
			<location EndPos="129" StartPos="127" width="3"></location>
			<labl>Industry, general recode</labl>
			<txt>INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.

"Industry" refers to the activity or product of the establishment or sector in which a person worked.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>010</catValu>
				<labl>Agriculture, fishing, and forestry</labl>
			</catgry>
			<catgry>
				<catValu>020</catValu>
				<labl>Mining and extraction</labl>
			</catgry>
			<catgry>
				<catValu>030</catValu>
				<labl>Manufacturing</labl>
			</catgry>
			<catgry>
				<catValu>040</catValu>
				<labl>Electricity, gas, water and waste management</labl>
			</catgry>
			<catgry>
				<catValu>050</catValu>
				<labl>Construction</labl>
			</catgry>
			<catgry>
				<catValu>060</catValu>
				<labl>Wholesale and retail trade</labl>
			</catgry>
			<catgry>
				<catValu>070</catValu>
				<labl>Hotels and restaurants</labl>
			</catgry>
			<catgry>
				<catValu>080</catValu>
				<labl>Transportation, storage, and communications</labl>
			</catgry>
			<catgry>
				<catValu>090</catValu>
				<labl>Financial services and insurance</labl>
			</catgry>
			<catgry>
				<catValu>100</catValu>
				<labl>Public administration and defense</labl>
			</catgry>
			<catgry>
				<catValu>110</catValu>
				<labl>Services, not specified</labl>
			</catgry>
			<catgry>
				<catValu>111</catValu>
				<labl>Business services and real estate</labl>
			</catgry>
			<catgry>
				<catValu>112</catValu>
				<labl>Education</labl>
			</catgry>
			<catgry>
				<catValu>113</catValu>
				<labl>Health and social work</labl>
			</catgry>
			<catgry>
				<catValu>114</catValu>
				<labl>Other services</labl>
			</catgry>
			<catgry>
				<catValu>120</catValu>
				<labl>Private household services</labl>
			</catgry>
			<catgry>
				<catValu>130</catValu>
				<labl>Other industry, n.e.c.</labl>
			</catgry>
			<catgry>
				<catValu>998</catValu>
				<labl>Response suppressed</labl>
			</catgry>
			<catgry>
				<catValu>999</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="IND" dcml="0" files="P" intrvl="contin" name="IND">
			<location EndPos="134" StartPos="130" width="5"></location>
			<labl>Industry, unrecoded</labl>
			<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>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.

		
CodesArgentina 1970 - Spanish
Argentina 1980 - Spanish
Argentina 1991 - Spanish
Argentina 2001 - Spanish
Armenia 2001
Armenia 2011
Austria 1971-2001 - German
Austria 2011
Bangladesh 1991
Bangladesh 2001
Bangladesh 2011
Belarus 2009
Benin 1979
Benin 1992
Benin 2002
Benin 2013
Bolivia 1976
Bolivia 1992
Bolivia 2001
Bolivia 2012
Botswana 1981
Botswana 1991
Botswana 2001
Botswana 2011
Brazil 1960 - Portuguese
Brazil 1970 - Portuguese
Brazil 1980 - Portuguese
Brazil 1991 - Portuguese
Brazil 2000 - Portuguese
Brazil 2010
Burkina Faso 1996
Cambodia 1998
Cambodia 2004
Cambodia 2008
Cambodia 2013
Cambodia 2019
Cameroon 2005
Canada 1971
Canada 1981
Canada 1991-2001
Canada 2011
Chile 1960 
Chile 1970 
Chile 1982 
Chile 1992 
Chile 2002 
Chile 2017 
China 1982
China 1990
China 2000
Colombia 1964 - Spanish
Colombia 1973 - Spanish
Colombia 1993 - Spanish
Colombia 2005 - Spanish
Costa Rica 1963 
Costa Rica 1973 
Costa Rica 1984 
Costa Rica 2000 
Costa Rica 2011
Cote d’Ivoire 1988
Cote d’Ivoire 1998
Cuba 2002
Cuba 2012
Dominican Republic 1960
Dominican Republic 1970
Dominican Republic 1981
Dominican Republic 2002
Dominican Republic 2010
Ecuador 1962 
Ecuador 1982 
Ecuador 1990 
Ecuador 2001 
Ecuador 2010
Egypt 1986
Egypt 1996
Egypt 2006
El Salvador 1992
El Salvador 2007
Ethiopia 1984
Ethiopia 1994
Fiji 1966
Fiji 1976
Fiji 1986
Fiji 1996
Fiji 2007
Fiji 2014
Finland 2010
France 1962-1968 - French
France 1975-1982 - French
France 1990 - French
France 1999
France 2006
France 2011
Germany 1970
Germany 1971
Germany 1981
Germany 1987
Ghana 1984
Ghana 2000
Ghana 2010
Greece 1971
Greece 1981
Greece 1991-2001
Greece 2011
Guatemala 1964
Guatemala 1973
Guatemala 1981
Guatemala 1994
Guatemala 2002
Guinea 1983
Guinea 2014
Haiti 1971
Haiti 1982
Haiti 2003
Honduras 1961
Honduras 1974
Honduras 2001
Hungary 2001
Hungary 2011
India 1983
India 1987
India 1993
India 1999
India 2004
India 2009
Indonesia 1971
Indonesia 1976
Indonesia 1980
Indonesia 1985
Indonesia 1990
Indonesia 1995
Indonesia 2000
Indonesia 2005
Indonesia 2010
Iran 2006
Iran 2011
Iraq 1997
Ireland 1971
Ireland 1981
Ireland 1986
Ireland 1991
Ireland 1996
Ireland 2002
Ireland 2006
Ireland 2011
Ireland 2016
Israel 1972
Israel 1983
Israel 1995
Israel 2008
Italy 2001
Italy 2011
Italy Surveys 2011-2013
Italy Surveys 2014-2020
Jamaica 1982
Jamaica 1991
Jamaica 2001
Jordan 2004
Kyrgyz Republic 1999
Kyrgyz Republic 2009
Laos 1995
Laos 2005
Laos 2015
Lesotho 2006
Liberia 1974
Liberia 2008
Malawi 1987
Malawi 1998
Malawi 2008
Malaysia 1970
Malaysia 1980-1991
Malaysia 2000
Mali 1987
Mali 1998
Mali 2009
Mauritius 1990
Mauritius 2000
Mauritius 2011
Mexico 1960 - Spanish
Mexico 1970 - Spanish
Mexico 1990 - Spanish
Mexico 1995 - Spanish
Mexico 2000 - Spanish
Mexico 2010
Mexico 2015
Mexico 2020
Mexico surveys 2005-2019
Morocco 1982
Morocco 1994
Morocco 2004
Morocco 2014
Mozambique 1997
Mozambique 2007
Myanmar 2014
Nepal 2001
Nepal 2011
Netherlands 1960
Netherlands 1971
Netherlands 2001
Netherlands 2011
Nicaragua 1971
Nicaragua 1995
Nicaragua 2005
Nigeria 2006
Nigeria 2007
Nigeria 2008
Nigeria 2009
Nigeria 2010
Pakistan 1973
Palestine 1997
Palestine 2007
Palestine 2017
Panama 1960 - Spanish
Panama 1970-1980 - Spanish
Panama 1990-2000 - Spanish
Panama 2010
Papua New Guinea 1980
Papua New Guinea 2000
Paraguay 1962
Paraguay 1972
Paraguay 1982
Paraguay 1992
Paraguay 2002
Peru 1993
Peru 2007
Peru 2017
Philippines 1990
Philippines 1995
Philippines 2000
Philippines 2010
Poland 1978
Poland 2002
Portugal 1981 - Portuguese
Portugal 1991-2001 - Portuguese
Portugal 2011
Puerto Rico 1970-2005
Puerto Rico 2010
Puerto Rico 2015
Puerto Rico 2020
Romania 1977
Romania 1992
Romania 2002
Romania 2011
Rwanda 2002 - French
Rwanda 2012
Saint Lucia 1991
Senegal 1988
Senegal 2013
Sierra Leone 2004
South Africa 1996 
South Africa 2001-2007
South Sudan 2008
Spain 1981 - Spanish
Spain 1991 - Spanish
Spain 2001 - Spanish
Spain 2011
Spain Surveys 2005-2020 
Sudan 2008
Suriname 2004
Suriname 2012
Switzerland 1970-2000
Switzerland 2011
Tanzania 2002
Tanzania 2012
Thailand 1970
Thailand 1980
Thailand 1990
Thailand 2000
Togo 1970
Togo 2010
Trinidad and Tobago 1980
Trinidad and Tobago 1990
Trinidad and Tobago 2000
Turkey 1985
Turkey 1990
Turkey 2000
Uganda 2002
United Kingdom 1961
United Kingdom 1971
United Kingdom 1991
United Kingdom 2001
United States 1960
United States 1970
United States 1980
United States 1990
United States 2000-2005
United States 2010
United States 2015
United States 2020
Uruguay 1963
Uruguay 1985
Uruguay 1996
Uruguay 2006
Venezuela 1981 
Venezuela 1990 
Venezuela 2001 - Spanish
Vietnam 1989
Vietnam 1999
Vietnam 2009
Vietnam 2019
Zambia 1990
Zambia 2000
Zambia 2010</codInstr>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="CLASSWK" dcml="0" files="P" intrvl="discrete" name="CLASSWK">
			<location EndPos="135" StartPos="135" width="1"></location>
			<labl>Status in employment (class of worker) [general version]</labl>
			<txt>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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="CLASSWKD" dcml="0" files="P" intrvl="discrete" name="CLASSWKD">
			<location EndPos="138" StartPos="136" width="3"></location>
			<labl>Status in employment (class of worker) [detailed version]</labl>
			<txt>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>000</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>199</catValu>
				<labl>Self-employed, not specified</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 or 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>255</catValu>
				<labl>State enterprise employee</labl>
			</catgry>
			<catgry>
				<catValu>256</catValu>
				<labl>Coordinated and continuous collaboration job</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 schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ECLASSWK" dcml="0" files="P" intrvl="discrete" name="ECLASSWK">
			<location EndPos="139" StartPos="139" width="1"></location>
			<labl>Status in employment (class of worker), Europe</labl>
			<txt>ECLASSWK refers in European Samples 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. 

ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples. 

ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses.  "Class of worker" is referred to as "Status in Employment" in the CES recommendations.  The former term is used to maintain concordance with IPUMS practice.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>Employees</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Employers</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Own-account worker</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Contributing family workers</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>Members of producers' co-operatives</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>Persons not classificable by status</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="TRNWRK" dcml="0" files="P" intrvl="discrete" name="TRNWRK">
			<location EndPos="141" StartPos="140" width="2"></location>
			<labl>Means of transportation to work or school</labl>
			<txt>TRNWRK identifies the primary or usual means of transportation the person took either to work or school.

In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>None, does not travel to work or school</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Walking</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Walks or bicycle</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Walks, bicycle, or motorcycle</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Private vehicle</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Auto, truck, van</labl>
			</catgry>
			<catgry>
				<catValu>32</catValu>
				<labl>Auto (driver)</labl>
			</catgry>
			<catgry>
				<catValu>33</catValu>
				<labl>Auto (passenger)</labl>
			</catgry>
			<catgry>
				<catValu>34</catValu>
				<labl>Auto, motorcycle, moped</labl>
			</catgry>
			<catgry>
				<catValu>35</catValu>
				<labl>Motorcycle, moped, or scooter</labl>
			</catgry>
			<catgry>
				<catValu>36</catValu>
				<labl>Bicycle</labl>
			</catgry>
			<catgry>
				<catValu>37</catValu>
				<labl>Bicycle or motorcycle/moped</labl>
			</catgry>
			<catgry>
				<catValu>38</catValu>
				<labl>Boat</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Public transportation</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Bus or trolley bus</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Bus or streetcar</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Streetcar or trolley car</labl>
			</catgry>
			<catgry>
				<catValu>44</catValu>
				<labl>Railroad or train</labl>
			</catgry>
			<catgry>
				<catValu>45</catValu>
				<labl>Subway or elevated train</labl>
			</catgry>
			<catgry>
				<catValu>46</catValu>
				<labl>Other public transportation</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Other</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Taxicab</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Ferryboat</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Special transportation (company coach, school bus, etc.)</labl>
			</catgry>
			<catgry>
				<catValu>54</catValu>
				<labl>Hired transport</labl>
			</catgry>
			<catgry>
				<catValu>55</catValu>
				<labl>Shared private transport</labl>
			</catgry>
			<catgry>
				<catValu>56</catValu>
				<labl>Horse or animal-drawn vehicle</labl>
			</catgry>
			<catgry>
				<catValu>57</catValu>
				<labl>Other, not elsewhere classified</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>Combination of several means</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>Unknown/missing</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MIGCTRY0" dcml="0" files="P" intrvl="discrete" name="MIGCTRY0">
			<location EndPos="146" StartPos="142" width="5"></location>
			<labl>Country of residence 10 years ago</labl>
			<txt>MIGCTRY0 indicates the person's country of residence 10 years ago.

Persons who did not live abroad ten years prior to the census are coded as non-migrants.</txt>
			<catgry>
				<catValu>00000</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>15150</catValu>
				<labl>Cape Verde</labl>
			</catgry>
			<catgry>
				<catValu>15040</catValu>
				<labl>Ivory Coast</labl>
			</catgry>
			<catgry>
				<catValu>15050</catValu>
				<labl>Gambia</labl>
			</catgry>
			<catgry>
				<catValu>15060</catValu>
				<labl>Ghana</labl>
			</catgry>
			<catgry>
				<catValu>15070</catValu>
				<labl>Guinea</labl>
			</catgry>
			<catgry>
				<catValu>15080</catValu>
				<labl>Guinea-Bissau</labl>
			</catgry>
			<catgry>
				<catValu>15090</catValu>
				<labl>Liberia</labl>
			</catgry>
			<catgry>
				<catValu>15100</catValu>
				<labl>Mali</labl>
			</catgry>
			<catgry>
				<catValu>15110</catValu>
				<labl>Mauritania</labl>
			</catgry>
			<catgry>
				<catValu>15120</catValu>
				<labl>Niger</labl>
			</catgry>
			<catgry>
				<catValu>15130</catValu>
				<labl>Nigeria</labl>
			</catgry>
			<catgry>
				<catValu>15140</catValu>
				<labl>St. Helena and Ascension</labl>
			</catgry>
			<catgry>
				<catValu>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>34192</catValu>
				<labl>Other Arab countries</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>
				<labl>Eastern Europe, n.s.</labl>
			</catgry>
			<catgry>
				<catValu>42000</catValu>
				<labl>Northern Europe</labl>
			</catgry>
			<catgry>
				<catValu>42010</catValu>
				<labl>Denmark</labl>
			</catgry>
			<catgry>
				<catValu>42020</catValu>
				<labl>Estonia</labl>
			</catgry>
			<catgry>
				<catValu>42030</catValu>
				<labl>Faroe Islands</labl>
			</catgry>
			<catgry>
				<catValu>42040</catValu>
				<labl>Finland</labl>
			</catgry>
			<catgry>
				<catValu>42050</catValu>
				<labl>Iceland</labl>
			</catgry>
			<catgry>
				<catValu>42060</catValu>
				<labl>Ireland</labl>
			</catgry>
			<catgry>
				<catValu>42070</catValu>
				<labl>Latvia</labl>
			</catgry>
			<catgry>
				<catValu>42080</catValu>
				<labl>Lithuania</labl>
			</catgry>
			<catgry>
				<catValu>42090</catValu>
				<labl>Norway</labl>
			</catgry>
			<catgry>
				<catValu>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, unspecified or unclassifiable</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: Global Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="GEOMIG1_10" dcml="0" files="P" intrvl="discrete" name="GEOMIG1_10">
			<location EndPos="152" StartPos="147" width="6"></location>
			<labl>1st subnational geographic level of residence 10 years prior to survey, world [consistent boundaries over time]</labl>
			<txt>GEOMIG1_10 indicates the major administrative unit in which the person resided ten years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence ten year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_10 match the geographic codes in GEOLEV1 (current place of residence).
For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_5. More on migration and geography can be found here.</txt>
			<catgry>
				<catValu>368001</catValu>
				<labl>In residential place of birth [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368002</catValu>
				<labl>In current governate [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368011</catValu>
				<labl>Dahuk [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368012</catValu>
				<labl>Nineveh [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368013</catValu>
				<labl>Sulaymaniyah [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368014</catValu>
				<labl>Al-Tameem [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368015</catValu>
				<labl>Erbil [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>368097</catValu>
				<labl>Other countries [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368098</catValu>
				<labl>Unknown [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>368099</catValu>
				<labl>NIU (not in universe) [Governorate: Iraq]</labl>
			</catgry>
			<catgry>
				<catValu>418001</catValu>
				<labl>Vientiane Capital [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418002</catValu>
				<labl>Phongsaly [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418003</catValu>
				<labl>Luangnamtha [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418004</catValu>
				<labl>Oudomxay [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418005</catValu>
				<labl>Bokeo [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418006</catValu>
				<labl>Luangprabang [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418007</catValu>
				<labl>Huaphanh [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418008</catValu>
				<labl>Xayaboury [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418009</catValu>
				<labl>Xienkhuang [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418010</catValu>
				<labl>Vientiane Province [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418011</catValu>
				<labl>Borikhamxay [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418012</catValu>
				<labl>Khammuane [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418013</catValu>
				<labl>Savanakhet [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418014</catValu>
				<labl>Saravane [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418015</catValu>
				<labl>Sekong [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418016</catValu>
				<labl>Champasack [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418017</catValu>
				<labl>Attapeu [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418018</catValu>
				<labl>Xaysomboune [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418097</catValu>
				<labl>Foreign Country [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418098</catValu>
				<labl>Unknown [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>418099</catValu>
				<labl>NIU [Province: Laos]</labl>
			</catgry>
			<catgry>
				<catValu>426001</catValu>
				<labl>Butha Buthe [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426002</catValu>
				<labl>Leribe [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426003</catValu>
				<labl>Berea [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426004</catValu>
				<labl>Maseru [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426005</catValu>
				<labl>Mafeteng [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426006</catValu>
				<labl>Mohale's Hoek [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426007</catValu>
				<labl>Quthing [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426008</catValu>
				<labl>Qacha's Nek [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426009</catValu>
				<labl>Mokhotlong [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426010</catValu>
				<labl>Thaba-Tseka [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426097</catValu>
				<labl>Abroad [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>426099</catValu>
				<labl>NIU [District: Lesotho]</labl>
			</catgry>
			<catgry>
				<catValu>608001</catValu>
				<labl>Abra [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608002</catValu>
				<labl>Agusan del norte [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608003</catValu>
				<labl>Agusan del sur [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608004</catValu>
				<labl>Aklan [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608005</catValu>
				<labl>Albay [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608006</catValu>
				<labl>Antique [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608007</catValu>
				<labl>Basilan, City Of Isabela [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608008</catValu>
				<labl>Bataan [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608009</catValu>
				<labl>Batanes [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608010</catValu>
				<labl>Batangas [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608011</catValu>
				<labl>Benguet [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608012</catValu>
				<labl>Bohol [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608013</catValu>
				<labl>Bukidnon [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608014</catValu>
				<labl>Bulacan [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608015</catValu>
				<labl>Cagayan, Batanes [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608016</catValu>
				<labl>Camarines norte [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608017</catValu>
				<labl>Camarines Sur [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608018</catValu>
				<labl>Camiguin [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608019</catValu>
				<labl>Capiz [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608020</catValu>
				<labl>Catanduanes [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608021</catValu>
				<labl>Cavite [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608022</catValu>
				<labl>Cebu [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608023</catValu>
				<labl>Davao (Davao del Norte) [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608024</catValu>
				<labl>Davao del Sur, Davao Occidental [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608025</catValu>
				<labl>Davao Oriental [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608026</catValu>
				<labl>Eastern Samar [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608027</catValu>
				<labl>Ifugao [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608028</catValu>
				<labl>Ilocos Norte [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608029</catValu>
				<labl>Ilocos Sur [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608030</catValu>
				<labl>Iloilo, Guimaras [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608031</catValu>
				<labl>Isabela [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608032</catValu>
				<labl>Kalinga-Apayao, Apayo, Kalinga [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608033</catValu>
				<labl>La Union [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608034</catValu>
				<labl>Laguna [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608035</catValu>
				<labl>Lanao del Norte [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608036</catValu>
				<labl>Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608037</catValu>
				<labl>Leyte, Biliran [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608039</catValu>
				<labl>Manila [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608040</catValu>
				<labl>Marinduque [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608041</catValu>
				<labl>Masbate [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608042</catValu>
				<labl>Misamis Occidental [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608043</catValu>
				<labl>Misamis Oriental [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608044</catValu>
				<labl>Mountain Province [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608045</catValu>
				<labl>Negros Occidental [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608046</catValu>
				<labl>Negros Oriental [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608047</catValu>
				<labl>Cotabato (North Cotabato) [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608048</catValu>
				<labl>Northern Samar [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608049</catValu>
				<labl>Nueva Ecija [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608050</catValu>
				<labl>Nueva Vizcaya [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608051</catValu>
				<labl>Occidental Mindoro [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608052</catValu>
				<labl>Oriental Mindoro [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608053</catValu>
				<labl>Palawan [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608054</catValu>
				<labl>Pampanga [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608055</catValu>
				<labl>Pangasinan [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608056</catValu>
				<labl>Quezon [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608057</catValu>
				<labl>Quirino [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608058</catValu>
				<labl>Rizal [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608059</catValu>
				<labl>Romblon [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608060</catValu>
				<labl>Samar (Western Samar) [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608061</catValu>
				<labl>Siquijor [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608062</catValu>
				<labl>Sorsogon [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608063</catValu>
				<labl>South Cotabato, Sarangani [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608064</catValu>
				<labl>Southern Leyte [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608065</catValu>
				<labl>Sultan Kudarat [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608066</catValu>
				<labl>Sulu [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608067</catValu>
				<labl>Surigao Del Norte, Dinagat islands [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608068</catValu>
				<labl>Surigao del Sur [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608069</catValu>
				<labl>Tarlac [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608070</catValu>
				<labl>Tawi-Tawi [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608071</catValu>
				<labl>Zambales [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608072</catValu>
				<labl>Zamboanga Norte [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608073</catValu>
				<labl>Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608074</catValu>
				<labl>Manila Metro, 2nd District [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608075</catValu>
				<labl>Manila Metro, 3rd District [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608076</catValu>
				<labl>Manila Metro, 4th District [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608077</catValu>
				<labl>Aurora [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608097</catValu>
				<labl>Foreign country [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608098</catValu>
				<labl>Unknown [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>608099</catValu>
				<labl>NIU (not in universe) [Province: Philippines]</labl>
			</catgry>
			<catgry>
				<catValu>686001</catValu>
				<labl>Dakar [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686002</catValu>
				<labl>Ziguinchor [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686003</catValu>
				<labl>Diourbel [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686004</catValu>
				<labl>Saint Louis, Louga, Matam [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686005</catValu>
				<labl>Tambacounda, Kedougou [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686006</catValu>
				<labl>Kaolack, Fatick, Kaffrine [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686007</catValu>
				<labl>Thiès [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686010</catValu>
				<labl>Kolda, Sedhiou [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686097</catValu>
				<labl>Abroad [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>686099</catValu>
				<labl>NIU (not in universe) [Region: Senegal]</labl>
			</catgry>
			<catgry>
				<catValu>724011</catValu>
				<labl>Galicia [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724012</catValu>
				<labl>Principado de Asturias [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724013</catValu>
				<labl>Cantabria [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724021</catValu>
				<labl>País Vasco [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724022</catValu>
				<labl>Comunidad Foral de Navarra [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724023</catValu>
				<labl>La Rioja [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724024</catValu>
				<labl>Aragón [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724030</catValu>
				<labl>Comunidad de Madrid [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724041</catValu>
				<labl>Castilla y León [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724042</catValu>
				<labl>Castilla-La Mancha [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724043</catValu>
				<labl>Extremadura [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724051</catValu>
				<labl>Cataluña [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724052</catValu>
				<labl>Comunidad Valenciana [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724053</catValu>
				<labl>Islas Baleares [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724061</catValu>
				<labl>Andalucía [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724062</catValu>
				<labl>Región de Murcia [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724063</catValu>
				<labl>Ciudad Autónoma de Ceuta [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724064</catValu>
				<labl>Ciudad Autónoma de Melilla [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724070</catValu>
				<labl>Canarias [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724090</catValu>
				<labl>Other Spanish territories in 1970 [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724097</catValu>
				<labl>Foreign country [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724098</catValu>
				<labl>Unknown [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>724999</catValu>
				<labl>NIU (not in universe) [Communities &amp; autonomous city: Spain]</labl>
			</catgry>
			<catgry>
				<catValu>780010</catValu>
				<labl>Port of Spain [Region: Trinidad and Tobago]</labl>
			</catgry>
			<catgry>
				<catValu>780020</catValu>
				<labl>San Fernando [Region: Trinidad and Tobago]</labl>
			</catgry>
			<catgry>
				<catValu>780080</catValu>
				<labl>Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin,  Caroni,  St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago]</labl>
				<txt>Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin,  Caroni,  St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago]</txt>
			</catgry>
			<catgry>
				<catValu>780094</catValu>
				<labl>St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago]</labl>
			</catgry>
			<catgry>
				<catValu>780098</catValu>
				<labl>Unknown [Region: Trinidad and Tobago]</labl>
			</catgry>
			<catgry>
				<catValu>780099</catValu>
				<labl>NIU (not in universe) [Region: Trinidad and Tobago]</labl>
			</catgry>
			<catgry>
				<catValu>834001</catValu>
				<labl>Dodoma [Region: Tanzania]</labl>
			</catgry>
			<catgry>
				<catValu>834002</catValu>
				<labl>Arusha, Manyara [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>Ruvuma [Region: Tanzania]</labl>
			</catgry>
			<catgry>
				<catValu>834011</catValu>
				<labl>Iringa, Njombe [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>Katavi, Rukwa [Region: Tanzania]</labl>
			</catgry>
			<catgry>
				<catValu>834016</catValu>
				<labl>Kigoma [Region: Tanzania]</labl>
			</catgry>
			<catgry>
				<catValu>834019</catValu>
				<labl>Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania]</labl>
			</catgry>
			<catgry>
				<catValu>834020</catValu>
				<labl>Mara [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>834097</catValu>
				<labl>Abroad [Region: Tanzania]</labl>
			</catgry>
			<catgry>
				<catValu>716000</catValu>
				<labl>Bulawayo [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716001</catValu>
				<labl>Manicaland [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716002</catValu>
				<labl>Mashonaland Central [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716003</catValu>
				<labl>Mashonaland East [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716004</catValu>
				<labl>Mashonaland West [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716005</catValu>
				<labl>Matabeleland North [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716006</catValu>
				<labl>Matabeleland South [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716007</catValu>
				<labl>Midlands [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716008</catValu>
				<labl>Masvingo [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716009</catValu>
				<labl>Harare [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716097</catValu>
				<labl>Abroad [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716098</catValu>
				<labl>Unknown [Province: Zimbabwe]</labl>
			</catgry>
			<catgry>
				<catValu>716099</catValu>
				<labl>NIU (Not in universe) [Province: Zimbabwe]</labl>
			</catgry>
			<concept vocab="IPUMS">Migration: Global Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MIGYRS1" dcml="0" files="P" intrvl="discrete" name="MIGYRS1">
			<location EndPos="154" StartPos="153" width="2"></location>
			<labl>Years residing in current locality</labl>
			<txt>MIGYRS1 indicates how many years the person has resided in their current locality of residence.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>Less than 1 year</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>1 year (or 1 year or less)</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>2 years</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>3</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>4</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>5</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>6</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>7</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>8</labl>
			</catgry>
			<catgry>
				<catValu>09</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+ years</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: Global Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MIG1_10_ES" dcml="0" files="P" intrvl="discrete" name="MIG1_10_ES">
			<location EndPos="160" StartPos="155" width="6"></location>
			<labl>Communities and Autonomous Cities of residence 10 years ago, Spain; consistent boundaries, GIS</labl>
			<txt>MIG1_10_ES indicates the person's Community or Autonomous City of residence ten years ago within Spain.

Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.</txt>
			<catgry>
				<catValu>724011</catValu>
				<labl>Galicia</labl>
			</catgry>
			<catgry>
				<catValu>724012</catValu>
				<labl>Principado de Asturias</labl>
			</catgry>
			<catgry>
				<catValu>724013</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>724021</catValu>
				<labl>País Vasco</labl>
			</catgry>
			<catgry>
				<catValu>724022</catValu>
				<labl>Comunidad Foral de Navarra</labl>
			</catgry>
			<catgry>
				<catValu>724023</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>724024</catValu>
				<labl>Aragón</labl>
			</catgry>
			<catgry>
				<catValu>724030</catValu>
				<labl>Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>724041</catValu>
				<labl>Castilla y León</labl>
			</catgry>
			<catgry>
				<catValu>724042</catValu>
				<labl>Castilla-La Mancha</labl>
			</catgry>
			<catgry>
				<catValu>724043</catValu>
				<labl>Extremadura</labl>
			</catgry>
			<catgry>
				<catValu>724051</catValu>
				<labl>Cataluña</labl>
			</catgry>
			<catgry>
				<catValu>724052</catValu>
				<labl>Comunidad Valenciana</labl>
			</catgry>
			<catgry>
				<catValu>724053</catValu>
				<labl>Islas Baleares</labl>
			</catgry>
			<catgry>
				<catValu>724061</catValu>
				<labl>Andalucía</labl>
			</catgry>
			<catgry>
				<catValu>724062</catValu>
				<labl>Región de Murcia</labl>
			</catgry>
			<catgry>
				<catValu>724063</catValu>
				<labl>Ciudad Autónoma de Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>724064</catValu>
				<labl>Ciudad Autónoma de Melilla</labl>
			</catgry>
			<catgry>
				<catValu>724070</catValu>
				<labl>Canarias</labl>
			</catgry>
			<catgry>
				<catValu>724090</catValu>
				<labl>Other Spanish territories in 1970</labl>
			</catgry>
			<catgry>
				<catValu>724097</catValu>
				<labl>Foreign country</labl>
			</catgry>
			<catgry>
				<catValu>724098</catValu>
				<labl>Unknown</labl>
			</catgry>
			<catgry>
				<catValu>724999</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Migration: O-Z Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="MIG2_10_ES" dcml="0" files="P" intrvl="discrete" name="MIG2_10_ES">
			<location EndPos="169" StartPos="161" width="9"></location>
			<labl>Province of residence 10 years ago, Spain; consistent boundaries, GIS</labl>
			<txt>MIG2_10_ES indicates the person's province of residence ten years ago within Spain. Migration district codes from MIG2_10_ES are compatible with codes from GEO2_ES.

Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.</txt>
			<catgry>
				<catValu>724011015</catValu>
				<labl>A Coruña</labl>
			</catgry>
			<catgry>
				<catValu>724011027</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>724011032</catValu>
				<labl>Ourense</labl>
			</catgry>
			<catgry>
				<catValu>724011036</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>724012033</catValu>
				<labl>Asturias</labl>
			</catgry>
			<catgry>
				<catValu>724013039</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>724021001</catValu>
				<labl>Álava</labl>
			</catgry>
			<catgry>
				<catValu>724021020</catValu>
				<labl>Guipúzcoa</labl>
			</catgry>
			<catgry>
				<catValu>724021048</catValu>
				<labl>Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>724022031</catValu>
				<labl>Navarra</labl>
			</catgry>
			<catgry>
				<catValu>724023026</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>724024022</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>724024044</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>724024050</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>724030028</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>724041005</catValu>
				<labl>Ávila</labl>
			</catgry>
			<catgry>
				<catValu>724041009</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>724041024</catValu>
				<labl>León</labl>
			</catgry>
			<catgry>
				<catValu>724041034</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>724041037</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>724041040</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>724041042</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>724041047</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>724041049</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>724042002</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>724042013</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>724042016</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>724042019</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>724042045</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>724043006</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>724043010</catValu>
				<labl>Cáceres</labl>
			</catgry>
			<catgry>
				<catValu>724051008</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>724051017</catValu>
				<labl>Girona</labl>
			</catgry>
			<catgry>
				<catValu>724051025</catValu>
				<labl>Lleida</labl>
			</catgry>
			<catgry>
				<catValu>724051043</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>724052003</catValu>
				<labl>Alicante/Alacant</labl>
			</catgry>
			<catgry>
				<catValu>724052012</catValu>
				<labl>Castellón/Castelló</labl>
			</catgry>
			<catgry>
				<catValu>724052046</catValu>
				<labl>Valencia/València</labl>
			</catgry>
			<catgry>
				<catValu>724053007</catValu>
				<labl>Islas Baleares</labl>
			</catgry>
			<catgry>
				<catValu>724061004</catValu>
				<labl>Almería</labl>
			</catgry>
			<catgry>
				<catValu>724061011</catValu>
				<labl>Cádiz</labl>
			</catgry>
			<catgry>
				<catValu>724061014</catValu>
				<labl>Córdoba</labl>
			</catgry>
			<catgry>
				<catValu>724061018</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>724061021</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>724061023</catValu>
				<labl>Jaén</labl>
			</catgry>
			<catgry>
				<catValu>724061029</catValu>
				<labl>Málaga</labl>
			</catgry>
			<catgry>
				<catValu>724061041</catValu>
				<labl>Sevilla</labl>
			</catgry>
			<catgry>
				<catValu>724062030</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>724063051</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>724064052</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>724070035</catValu>
				<labl>Las Palmas</labl>
			</catgry>
			<catgry>
				<catValu>724070038</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>727097097</catValu>
				<labl>Abroad</labl>
			</catgry>
			<catgry>
				<catValu>727098098</catValu>
				<labl>Unknown</labl>
			</catgry>
			<catgry>
				<catValu>727099099</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Migration: O-Z Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="DISEMP" dcml="0" files="P" intrvl="discrete" name="DISEMP">
			<location EndPos="170" StartPos="170" width="1"></location>
			<labl>Employment disability</labl>
			<txt>DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Disabled</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Not disabled</labl>
			</catgry>
			<catgry>
				<catValu>8</catValu>
				<labl>Unknown</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Disability Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_PERNUM" dcml="0" files="P" intrvl="discrete" name="ES1981A_PERNUM">
			<location EndPos="171" StartPos="171" width="1"></location>
			<labl>Person number (within household)</labl>
			<qstn></qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the person number within the household.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>Household record</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>1</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Person Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_PERNUMO" dcml="0" files="P" intrvl="discrete" name="ES1981A_PERNUMO">
			<location EndPos="173" StartPos="172" width="2"></location>
			<labl>Order number</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A006 ES81A400"&gt;&lt;span class="em"&gt;[] 0. Order number&lt;/span&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's order number within the family.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>1st person in the family</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>2nd person in the family</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>3rd</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>4th</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>5th</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>6th</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>7th</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>8th</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>9th</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>10th</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>11th</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>12th</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>13th</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>14th</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>15th</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>15th</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>16th</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>17th</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>18th</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>19th</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>20th</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Technical Person Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_RESID" dcml="0" files="P" intrvl="discrete" name="ES1981A_RESID">
			<location EndPos="174" StartPos="174" width="1"></location>
			<labl>Residence situation in municipality</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A401"&gt;&lt;span class="em"&gt;2. Residency&lt;/span&gt;&lt;br /&gt;Mark the corresponding box with an X (see above).&lt;br /&gt;&lt;div class="i1"&gt;[] 1 P Residents of this municipality who, at the Census Moment, were PRESENT in the municipality.&lt;br /&gt;[] 2 A Residents of this municipality who, at the Census Moment, were ABSENT from the municipality&lt;br /&gt;[] 3 T Temporary residents: Persons who are not residents of this municipality but who were present in the municipality at the Census Moment&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's residency situation (i.e., permanent versus temporary resident).</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Resident, present in the municipality</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Resident, absent from the municipality</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Not resident, temporarily in the municipality</labl>
			</catgry>
			<concept vocab="IPUMS">Migration: Global Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_RELATE" dcml="0" files="P" intrvl="discrete" name="ES1981A_RELATE">
			<location EndPos="175" StartPos="175" width="1"></location>
			<labl>Relationship to household head</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A402"&gt;&lt;span class="em"&gt;3. Relationship to the householder*&lt;/span&gt;&lt;br /&gt;Write, for example: spouse, son, son-in-law, daughter-in-law, grandson, father, mother, brother, brother-in-law, uncle, nephew, guest, friend, servant, etc.&lt;br /&gt;&lt;div class="i1"&gt;___ _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's relationship to the principal person (head of the household).</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Principal person</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Spouse of principal person</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Child of principal person</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Son/daughter-in-law of principal person</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>Grandchild of principal person</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>Father or mother of principal person or spouse of principal person (father/mother-in-law)</labl>
			</catgry>
			<catgry>
				<catValu>7</catValu>
				<labl>Other relative of the principal person or spouse of principal person</labl>
			</catgry>
			<catgry>
				<catValu>8</catValu>
				<labl>Person in domestic service</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>Other person not related to the principal person</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_SEX" dcml="0" files="P" intrvl="discrete" name="ES1981A_SEX">
			<location EndPos="176" StartPos="176" width="1"></location>
			<labl>Sex</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A403"&gt;&lt;span class="em"&gt;4. Sex&lt;/span&gt;&lt;br /&gt;Mark the corresponding box with an X.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Male&lt;br /&gt;[] 2 Female&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's gender.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Man</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Woman</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_MARST" dcml="0" files="P" intrvl="discrete" name="ES1981A_MARST">
			<location EndPos="177" StartPos="177" width="1"></location>
			<labl>Marital status</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A404"&gt;&lt;span class="em"&gt;5. Legal status&lt;/span&gt;&lt;br /&gt;Mark the corresponding box with an X.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Never married&lt;br /&gt;[] 2 Married&lt;br /&gt;[] 3 Widowed&lt;br /&gt;[] 4 Divorced&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's marital status.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Single or celibate</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Married</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Widowed</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Divorced or separated</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_BPLAUTON" dcml="0" files="P" intrvl="discrete" name="ES1981A_BPLAUTON">
			<location EndPos="179" StartPos="178" width="2"></location>
			<labl>Communities and autonomous cities or country of birth</labl>
			<qstn></qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's community, or autonomous city or country of birth.</txt>
			<catgry>
				<catValu>11</catValu>
				<labl>Galicia</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Principado de Asturias</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Cantabria</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>País Vasco</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Comunidad Foral de Navarra</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>La Rioja</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>Aragón</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Comunidad de Madrid</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Castilla y León</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Castilla-La Mancha</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Extremadura</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Cataluña</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Comunidad Valenciana</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Illes Balears</labl>
			</catgry>
			<catgry>
				<catValu>61</catValu>
				<labl>Andalucía</labl>
			</catgry>
			<catgry>
				<catValu>62</catValu>
				<labl>Región de Murcia</labl>
			</catgry>
			<catgry>
				<catValu>63</catValu>
				<labl>Ciudad Autónoma de Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>64</catValu>
				<labl>Ciudad Autónoma de Melilla</labl>
			</catgry>
			<catgry>
				<catValu>70</catValu>
				<labl>Canarias</labl>
			</catgry>
			<catgry>
				<catValu>75</catValu>
				<labl>West Germany</labl>
			</catgry>
			<catgry>
				<catValu>76</catValu>
				<labl>Belgium</labl>
			</catgry>
			<catgry>
				<catValu>77</catValu>
				<labl>France</labl>
			</catgry>
			<catgry>
				<catValu>78</catValu>
				<labl>Great Britain</labl>
			</catgry>
			<catgry>
				<catValu>79</catValu>
				<labl>Holland</labl>
			</catgry>
			<catgry>
				<catValu>80</catValu>
				<labl>Italy</labl>
			</catgry>
			<catgry>
				<catValu>81</catValu>
				<labl>Portugal</labl>
			</catgry>
			<catgry>
				<catValu>82</catValu>
				<labl>Sweden</labl>
			</catgry>
			<catgry>
				<catValu>83</catValu>
				<labl>Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>84</catValu>
				<labl>Rest of Europe</labl>
			</catgry>
			<catgry>
				<catValu>85</catValu>
				<labl>United States</labl>
			</catgry>
			<catgry>
				<catValu>86</catValu>
				<labl>Mexico</labl>
			</catgry>
			<catgry>
				<catValu>87</catValu>
				<labl>Cuba</labl>
			</catgry>
			<catgry>
				<catValu>88</catValu>
				<labl>Argentina</labl>
			</catgry>
			<catgry>
				<catValu>89</catValu>
				<labl>Brazil</labl>
			</catgry>
			<catgry>
				<catValu>90</catValu>
				<labl>Chile</labl>
			</catgry>
			<catgry>
				<catValu>91</catValu>
				<labl>Peru</labl>
			</catgry>
			<catgry>
				<catValu>92</catValu>
				<labl>Venezuela</labl>
			</catgry>
			<catgry>
				<catValu>93</catValu>
				<labl>Rest of America</labl>
			</catgry>
			<catgry>
				<catValu>94</catValu>
				<labl>Morocco</labl>
			</catgry>
			<catgry>
				<catValu>95</catValu>
				<labl>Rest of the world</labl>
			</catgry>
			<catgry>
				<catValu>98</catValu>
				<labl>Unknown</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>Born in the other municipalities in the same province in which they are counted in this census</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_BPL" dcml="0" files="P" intrvl="discrete" name="ES1981A_BPL">
			<location EndPos="181" StartPos="180" width="2"></location>
			<labl>Province or country of birth</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A405 ES81A406 ES81A407 ES81A408 ES81A430"&gt;&lt;span class="em"&gt;6. Place and date of birth.&lt;/span&gt;&lt;br /&gt;Write the name of the municipality and province (or country, if you were born in another country) and your date of birth.&lt;br /&gt;&lt;div class="i1"&gt;___ Municipality&lt;br /&gt;___ Province  _ _&lt;br /&gt;_ _ / _ _ / 1 _ _ _  Day / month / year&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's Spanish province or country of birth.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>Alava</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Alicante</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Almeria</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Avila</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Baleares</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Caceres</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Cadiz</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Castellon</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>Cordoba</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>Coruna (La)</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>Gerona</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Guipuzcoa</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>Jaen</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>Leon</labl>
			</catgry>
			<catgry>
				<catValu>25</catValu>
				<labl>Lerida</labl>
			</catgry>
			<catgry>
				<catValu>26</catValu>
				<labl>Rioja (La)</labl>
			</catgry>
			<catgry>
				<catValu>27</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>28</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>29</catValu>
				<labl>Malaga</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Navarra</labl>
			</catgry>
			<catgry>
				<catValu>32</catValu>
				<labl>Orense</labl>
			</catgry>
			<catgry>
				<catValu>33</catValu>
				<labl>Oviedo</labl>
			</catgry>
			<catgry>
				<catValu>34</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>35</catValu>
				<labl>Palmas (Las)</labl>
			</catgry>
			<catgry>
				<catValu>36</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>37</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>38</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>39</catValu>
				<labl>Santander</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Seville</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>44</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>45</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>46</catValu>
				<labl>Valencia</labl>
			</catgry>
			<catgry>
				<catValu>47</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>48</catValu>
				<labl>Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>49</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Other Spanish territories at the time of his/her birth</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>Born in the same municipality in which they are counted in this census</labl>
			</catgry>
			<catgry>
				<catValu>70</catValu>
				<labl>Born in the other municipalities in the same province in which they are counted in this census</labl>
			</catgry>
			<catgry>
				<catValu>75</catValu>
				<labl>West Germany</labl>
			</catgry>
			<catgry>
				<catValu>76</catValu>
				<labl>Belgium</labl>
			</catgry>
			<catgry>
				<catValu>77</catValu>
				<labl>France</labl>
			</catgry>
			<catgry>
				<catValu>78</catValu>
				<labl>Great Britain</labl>
			</catgry>
			<catgry>
				<catValu>79</catValu>
				<labl>Holland</labl>
			</catgry>
			<catgry>
				<catValu>80</catValu>
				<labl>Italy</labl>
			</catgry>
			<catgry>
				<catValu>81</catValu>
				<labl>Portugal</labl>
			</catgry>
			<catgry>
				<catValu>82</catValu>
				<labl>Sweden</labl>
			</catgry>
			<catgry>
				<catValu>83</catValu>
				<labl>Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>84</catValu>
				<labl>Rest of Europe</labl>
			</catgry>
			<catgry>
				<catValu>85</catValu>
				<labl>United States</labl>
			</catgry>
			<catgry>
				<catValu>86</catValu>
				<labl>Mexico</labl>
			</catgry>
			<catgry>
				<catValu>87</catValu>
				<labl>Cuba</labl>
			</catgry>
			<catgry>
				<catValu>88</catValu>
				<labl>Argentina</labl>
			</catgry>
			<catgry>
				<catValu>89</catValu>
				<labl>Brazil</labl>
			</catgry>
			<catgry>
				<catValu>90</catValu>
				<labl>Chile</labl>
			</catgry>
			<catgry>
				<catValu>91</catValu>
				<labl>Peru</labl>
			</catgry>
			<catgry>
				<catValu>92</catValu>
				<labl>Venezuela</labl>
			</catgry>
			<catgry>
				<catValu>93</catValu>
				<labl>Rest of America</labl>
			</catgry>
			<catgry>
				<catValu>94</catValu>
				<labl>Morocco</labl>
			</catgry>
			<catgry>
				<catValu>95</catValu>
				<labl>Rest of the world</labl>
			</catgry>
			<catgry>
				<catValu>98</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_BIRTHMO" dcml="0" files="P" intrvl="discrete" name="ES1981A_BIRTHMO">
			<location EndPos="183" StartPos="182" width="2"></location>
			<labl>Month of birth</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A405 ES81A406 ES81A407 ES81A408 ES81A430"&gt;&lt;span class="em"&gt;6. Place and date of birth.&lt;/span&gt;&lt;br /&gt;Write the name of the municipality and province (or country, if you were born in another country) and your date of birth.&lt;br /&gt;&lt;div class="i1"&gt;___ Municipality&lt;br /&gt;___ Province  _ _&lt;br /&gt;_ _ / _ _ / 1 _ _ _  Day / month / year&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's month of birth.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>January</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>February</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>March</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>April</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>May</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>June</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>July</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>August</labl>
			</catgry>
			<catgry>
				<catValu>09</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>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_BIRTHYR" dcml="0" files="P" intrvl="discrete" name="ES1981A_BIRTHYR">
			<location EndPos="187" StartPos="184" width="4"></location>
			<labl>Year of birth</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A405 ES81A406 ES81A407 ES81A408 ES81A430"&gt;&lt;span class="em"&gt;6. Place and date of birth.&lt;/span&gt;&lt;br /&gt;Write the name of the municipality and province (or country, if you were born in another country) and your date of birth.&lt;br /&gt;&lt;div class="i1"&gt;___ Municipality&lt;br /&gt;___ Province  _ _&lt;br /&gt;_ _ / _ _ / 1 _ _ _  Day / month / year&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's year of birth.</txt>
			<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>
			<concept vocab="IPUMS">Nativity and Birthplace Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_MOVEYR" dcml="0" files="P" intrvl="discrete" name="ES1981A_MOVEYR">
			<location EndPos="189" StartPos="188" width="2"></location>
			<labl>Year of change of municipality</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A409 ES81A410 ES81A411"&gt;&lt;span class="em"&gt;7. Place of residence on December 31, 1970.&lt;/span&gt;&lt;br /&gt;To be answered only by those persons who are over age 10 and who came to live in this municipality after 1970.&lt;br /&gt;Indicate:&lt;br /&gt;-The municipality where you were living on December 31, 1970.&lt;br /&gt;-The province (or country, if you came from another country) where you were living on December 31, 1970.&lt;br /&gt;-The year you arrived in this municipality.&lt;br /&gt;&lt;div class="i1"&gt;___ Municipality&lt;br /&gt;___ Province _ _&lt;br /&gt;1 9 _ _ year&lt;br /&gt;_ _ _ _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons age 10+ who changed their residence after 1970 [not verifiable]</universe>
			<txt>This variable indicates the year the respondent changed her residence.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>71</catValu>
				<labl>1971</labl>
			</catgry>
			<catgry>
				<catValu>72</catValu>
				<labl>1972</labl>
			</catgry>
			<catgry>
				<catValu>73</catValu>
				<labl>1973</labl>
			</catgry>
			<catgry>
				<catValu>74</catValu>
				<labl>1974</labl>
			</catgry>
			<catgry>
				<catValu>75</catValu>
				<labl>1975</labl>
			</catgry>
			<catgry>
				<catValu>76</catValu>
				<labl>1976</labl>
			</catgry>
			<catgry>
				<catValu>77</catValu>
				<labl>1977</labl>
			</catgry>
			<catgry>
				<catValu>78</catValu>
				<labl>1978</labl>
			</catgry>
			<catgry>
				<catValu>79</catValu>
				<labl>1979</labl>
			</catgry>
			<catgry>
				<catValu>80</catValu>
				<labl>1980</labl>
			</catgry>
			<catgry>
				<catValu>81</catValu>
				<labl>1981</labl>
			</catgry>
			<concept vocab="IPUMS">Migration: Global Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_PROV70" dcml="0" files="P" intrvl="discrete" name="ES1981A_PROV70">
			<location EndPos="191" StartPos="190" width="2"></location>
			<labl>Province or country of residence in 1970</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A409 ES81A410 ES81A411"&gt;&lt;span class="em"&gt;7. Place of residence on December 31, 1970.&lt;/span&gt;&lt;br /&gt;To be answered only by those persons who are over age 10 and who came to live in this municipality after 1970.&lt;br /&gt;Indicate:&lt;br /&gt;-The municipality where you were living on December 31, 1970.&lt;br /&gt;-The province (or country, if you came from another country) where you were living on December 31, 1970.&lt;br /&gt;-The year you arrived in this municipality.&lt;br /&gt;&lt;div class="i1"&gt;___ Municipality&lt;br /&gt;___ Province _ _&lt;br /&gt;1 9 _ _ year&lt;br /&gt;_ _ _ _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons age 10+ who changed their residence after 1970 [not verifiable]</universe>
			<txt>This variable indicates the respondent's province of residence in 1970.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>Alava</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Albacete</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Alicante</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Almeria</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Avila</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Badajoz</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Baleares</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Barcelona</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Burgos</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Caceres</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Cadiz</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Castellon</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Ciudad Real</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>Cordoba</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>Coruna (La)</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>Cuenca</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>Gerona</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>Granada</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>Guadalajara</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Guipuzcoa</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Huelva</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Huesca</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>Jaen</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>Leon</labl>
			</catgry>
			<catgry>
				<catValu>25</catValu>
				<labl>Lerida</labl>
			</catgry>
			<catgry>
				<catValu>26</catValu>
				<labl>Rioja (La)</labl>
			</catgry>
			<catgry>
				<catValu>27</catValu>
				<labl>Lugo</labl>
			</catgry>
			<catgry>
				<catValu>28</catValu>
				<labl>Madrid</labl>
			</catgry>
			<catgry>
				<catValu>29</catValu>
				<labl>Malaga</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Murcia</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Navarra</labl>
			</catgry>
			<catgry>
				<catValu>32</catValu>
				<labl>Orense</labl>
			</catgry>
			<catgry>
				<catValu>33</catValu>
				<labl>Oviedo</labl>
			</catgry>
			<catgry>
				<catValu>34</catValu>
				<labl>Palencia</labl>
			</catgry>
			<catgry>
				<catValu>35</catValu>
				<labl>Palmas (Las)</labl>
			</catgry>
			<catgry>
				<catValu>36</catValu>
				<labl>Pontevedra</labl>
			</catgry>
			<catgry>
				<catValu>37</catValu>
				<labl>Salamanca</labl>
			</catgry>
			<catgry>
				<catValu>38</catValu>
				<labl>Santa Cruz de Tenerife</labl>
			</catgry>
			<catgry>
				<catValu>39</catValu>
				<labl>Santander</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Segovia</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Seville</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Soria</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Tarragona</labl>
			</catgry>
			<catgry>
				<catValu>44</catValu>
				<labl>Teruel</labl>
			</catgry>
			<catgry>
				<catValu>45</catValu>
				<labl>Toledo</labl>
			</catgry>
			<catgry>
				<catValu>46</catValu>
				<labl>Valencia</labl>
			</catgry>
			<catgry>
				<catValu>47</catValu>
				<labl>Valladolid</labl>
			</catgry>
			<catgry>
				<catValu>48</catValu>
				<labl>Vizcaya</labl>
			</catgry>
			<catgry>
				<catValu>49</catValu>
				<labl>Zamora</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Zaragoza</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Ceuta</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Melilla</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Other Spanish territories in 1970</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>West Germany</labl>
			</catgry>
			<catgry>
				<catValu>61</catValu>
				<labl>Belgium</labl>
			</catgry>
			<catgry>
				<catValu>62</catValu>
				<labl>France</labl>
			</catgry>
			<catgry>
				<catValu>63</catValu>
				<labl>Holland</labl>
			</catgry>
			<catgry>
				<catValu>64</catValu>
				<labl>Great Britain</labl>
			</catgry>
			<catgry>
				<catValu>65</catValu>
				<labl>Switzerland</labl>
			</catgry>
			<catgry>
				<catValu>66</catValu>
				<labl>Other countries in Europe</labl>
			</catgry>
			<catgry>
				<catValu>70</catValu>
				<labl>America</labl>
			</catgry>
			<catgry>
				<catValu>80</catValu>
				<labl>Rest of the world</labl>
			</catgry>
			<concept vocab="IPUMS">Migration: Global Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_LIT" dcml="0" files="P" intrvl="discrete" name="ES1981A_LIT">
			<location EndPos="192" StartPos="192" width="1"></location>
			<labl>Knows how to read?</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A413"&gt;&lt;span class="em"&gt;9. Do you know how to read and write?&lt;/span&gt;&lt;br /&gt;Mark the corresponding box with an X.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Yes&lt;br /&gt;[] 6 No&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates if the respondent can read.</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>Yes, knows how to read</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Does not know how to read</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_STUDY" dcml="0" files="P" intrvl="discrete" name="ES1981A_STUDY">
			<location EndPos="194" StartPos="193" width="2"></location>
			<labl>Current studies</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A414 ES81A415"&gt;&lt;span class="em"&gt;10. Current school attendance&lt;/span&gt;&lt;br /&gt;All people who are currently attending school should write the grade and level of their studies.  If you are engaged in more than one course of study, write the highest level of school which you currently attend.&lt;br /&gt;For example:&lt;br /&gt;1st EGB [Basic general education]; 2nd level technical training, first grade; law, etc.&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's current studies.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>Does not study</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>Pre-school education</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Basic general education, first part</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Special education</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Adult literacy studies</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Basic general education, second part</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Studies in music conservatories, elementary level</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Studies in applied arts, artistic jobs, and ceramics</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Other elementary level studies</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Integrated Upper Secondary Education and University Orientation Course</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Professional formation studies, first grade</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>Professional formation studies, second grade</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>Music conservatory studies, mid-level</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>University entry studies, persons over 25 years old</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Other higher-level studies</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Technical architecture studies</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>Industrial technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>Agricultural technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>25</catValu>
				<labl>Forestry technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>26</catValu>
				<labl>Aeronautical technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>27</catValu>
				<labl>Mining technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>28</catValu>
				<labl>Naval technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>29</catValu>
				<labl>Public works technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Telecommunications technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Topographical technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>32</catValu>
				<labl>Paper industry technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>33</catValu>
				<labl>Knit fabric technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>34</catValu>
				<labl>Business studies</labl>
			</catgry>
			<catgry>
				<catValu>35</catValu>
				<labl>Studies for the formation of basic general education professors</labl>
			</catgry>
			<catgry>
				<catValu>36</catValu>
				<labl>Nursing studies</labl>
			</catgry>
			<catgry>
				<catValu>37</catValu>
				<labl>Other university college studies</labl>
			</catgry>
			<catgry>
				<catValu>38</catValu>
				<labl>Nautical studies, first course</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Sanitary technical assistants studies</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Graduate social studies, social assistants and tourism</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Ecclesiastic studies: philosophy</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Other non-university third-level studies</labl>
			</catgry>
			<catgry>
				<catValu>44</catValu>
				<labl>Studies in exact and natural sciences</labl>
			</catgry>
			<catgry>
				<catValu>45</catValu>
				<labl>Studies in philosophy and letters</labl>
			</catgry>
			<catgry>
				<catValu>46</catValu>
				<labl>Studies in economic and business sciences</labl>
			</catgry>
			<catgry>
				<catValu>47</catValu>
				<labl>Studies in political sciences and administration</labl>
			</catgry>
			<catgry>
				<catValu>48</catValu>
				<labl>Law studies</labl>
			</catgry>
			<catgry>
				<catValu>49</catValu>
				<labl>Pharmacy studies</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Medical studies</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Veterinary studies</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Information sciences studies</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Informatics studies</labl>
			</catgry>
			<catgry>
				<catValu>54</catValu>
				<labl>Visual and performing arts studies</labl>
			</catgry>
			<catgry>
				<catValu>55</catValu>
				<labl>Architecture studies</labl>
			</catgry>
			<catgry>
				<catValu>56</catValu>
				<labl>Industrial engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>57</catValu>
				<labl>Agronomist studies</labl>
			</catgry>
			<catgry>
				<catValu>58</catValu>
				<labl>Pasture engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>59</catValu>
				<labl>Aeronautic engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>Road, canal, and port engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>61</catValu>
				<labl>Mining engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>62</catValu>
				<labl>Naval engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>63</catValu>
				<labl>Telecommunications engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>64</catValu>
				<labl>Higher-level military studies</labl>
			</catgry>
			<catgry>
				<catValu>65</catValu>
				<labl>Music conservatory studies, upper-level</labl>
			</catgry>
			<catgry>
				<catValu>66</catValu>
				<labl>Ecclesiastic studies: theology</labl>
			</catgry>
			<catgry>
				<catValu>67</catValu>
				<labl>Nautical studies, second course</labl>
			</catgry>
			<catgry>
				<catValu>68</catValu>
				<labl>Other third-level university studies or equivalent</labl>
			</catgry>
			<catgry>
				<catValu>69</catValu>
				<labl>Post-graduate and specialization studies</labl>
			</catgry>
			<catgry>
				<catValu>70</catValu>
				<labl>Studies not classifiable by grade</labl>
			</catgry>
			<catgry>
				<catValu>72</catValu>
				<labl>Studies not well specified or insufficiently described</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_EDATTEND" dcml="0" files="P" intrvl="discrete" name="ES1981A_EDATTEND">
			<location EndPos="195" StartPos="195" width="1"></location>
			<labl>Grade in which currently enrolled</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A414 ES81A415"&gt;&lt;span class="em"&gt;10. Current school attendance&lt;/span&gt;&lt;br /&gt;All people who are currently attending school should write the grade and level of their studies.  If you are engaged in more than one course of study, write the highest level of school which you currently attend.&lt;br /&gt;For example:&lt;br /&gt;1st EGB [Basic general education]; 2nd level technical training, first grade; law, etc.&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the grade in which the respondent is currently enrolled.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>Does not study</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>1st grade</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>2nd grade</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>3rd grade</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>4th grade</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>5th grade</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>6th grade</labl>
			</catgry>
			<catgry>
				<catValu>7</catValu>
				<labl>7th grade</labl>
			</catgry>
			<catgry>
				<catValu>8</catValu>
				<labl>8th grade</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_EDUC" dcml="0" files="P" intrvl="discrete" name="ES1981A_EDUC">
			<location EndPos="197" StartPos="196" width="2"></location>
			<labl>Studies completed</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A416 ES81A417 ES81A418"&gt;&lt;span class="em"&gt;11.  Educational attainment&lt;/span&gt;&lt;br /&gt;Indicate the highest level of study that you have completed and passed.&lt;br /&gt;For example: Law, graduated with degree; Medicine, 4th year; Upper level baccalaureate, 5th grade; elementary through 11th grade; elementary school graduate; Basic general education, 6th year; etc.&lt;br /&gt;If you have never attended school, even if you know how to read and write, write "no studies"&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's studies completed.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>Pre-school education</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Basic general education, first part</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Special education</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Elementary education</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Pre-professional education</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Adult literacy studies</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Basic general education, second part</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Studies in music conservatories, elementary level</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Studies in applied arts, artistic jobs, and ceramics</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Elementary baccalaureate studies</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Other elementary level studies</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Integrated Upper Secondary Education and Curso de Orientación Universitaria</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Professional formation studies, first grade</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>Professional formation studies, second grade</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>Music conservatory studies, mid-level</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>University entry studies, persons over 25 years old</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>Higher-level baccalaureate studies</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>Professional training studies</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>Professional masters studies</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Mercantile practitioner studies</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Other higher-level studies</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Technical architecture studies</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>Industrial technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>Agricultural technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>25</catValu>
				<labl>Forestry technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>26</catValu>
				<labl>Aeronautical technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>27</catValu>
				<labl>Mining technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>28</catValu>
				<labl>Naval technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>29</catValu>
				<labl>Public works technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>30</catValu>
				<labl>Telecommunications technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>31</catValu>
				<labl>Topographical technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>32</catValu>
				<labl>Paper industry technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>33</catValu>
				<labl>Knit fabric technical engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>34</catValu>
				<labl>Business studies</labl>
			</catgry>
			<catgry>
				<catValu>35</catValu>
				<labl>Studies for the formation of basic general education professors</labl>
			</catgry>
			<catgry>
				<catValu>36</catValu>
				<labl>Nursing studies</labl>
			</catgry>
			<catgry>
				<catValu>37</catValu>
				<labl>Other university college studies</labl>
			</catgry>
			<catgry>
				<catValu>38</catValu>
				<labl>Nautical studies, first course</labl>
			</catgry>
			<catgry>
				<catValu>39</catValu>
				<labl>Mercantile professor studies</labl>
			</catgry>
			<catgry>
				<catValu>40</catValu>
				<labl>Sanitary technical assistants studies</labl>
			</catgry>
			<catgry>
				<catValu>41</catValu>
				<labl>Graduate social studies, social assistants and tourism</labl>
			</catgry>
			<catgry>
				<catValu>42</catValu>
				<labl>Ecclesiastic studies: philosophy</labl>
			</catgry>
			<catgry>
				<catValu>43</catValu>
				<labl>Other non-university third-level studies</labl>
			</catgry>
			<catgry>
				<catValu>44</catValu>
				<labl>Studies in exact and natural sciences</labl>
			</catgry>
			<catgry>
				<catValu>45</catValu>
				<labl>Studies in philosophy and letters</labl>
			</catgry>
			<catgry>
				<catValu>46</catValu>
				<labl>Studies in economic and business sciences</labl>
			</catgry>
			<catgry>
				<catValu>47</catValu>
				<labl>Studies in political sciences and administration</labl>
			</catgry>
			<catgry>
				<catValu>48</catValu>
				<labl>Law studies</labl>
			</catgry>
			<catgry>
				<catValu>49</catValu>
				<labl>Pharmacy studies</labl>
			</catgry>
			<catgry>
				<catValu>50</catValu>
				<labl>Medical studies</labl>
			</catgry>
			<catgry>
				<catValu>51</catValu>
				<labl>Veterinary studies</labl>
			</catgry>
			<catgry>
				<catValu>52</catValu>
				<labl>Information sciences studies</labl>
			</catgry>
			<catgry>
				<catValu>53</catValu>
				<labl>Informatics studies</labl>
			</catgry>
			<catgry>
				<catValu>54</catValu>
				<labl>Visual and performing arts studies</labl>
			</catgry>
			<catgry>
				<catValu>55</catValu>
				<labl>Architecture studies</labl>
			</catgry>
			<catgry>
				<catValu>56</catValu>
				<labl>Industrial engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>57</catValu>
				<labl>Agronomist studies</labl>
			</catgry>
			<catgry>
				<catValu>58</catValu>
				<labl>Pasture engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>59</catValu>
				<labl>Aeronautic engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>60</catValu>
				<labl>Road, canal, and port engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>61</catValu>
				<labl>Mining engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>62</catValu>
				<labl>Naval engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>63</catValu>
				<labl>Telecommunications engineering studies</labl>
			</catgry>
			<catgry>
				<catValu>64</catValu>
				<labl>Higher-level military studies</labl>
			</catgry>
			<catgry>
				<catValu>65</catValu>
				<labl>Undocumented</labl>
			</catgry>
			<catgry>
				<catValu>66</catValu>
				<labl>Ecclesiastic studies: theology</labl>
			</catgry>
			<catgry>
				<catValu>67</catValu>
				<labl>Nautical studies, second course</labl>
			</catgry>
			<catgry>
				<catValu>68</catValu>
				<labl>Other third-level university studies or equivalent</labl>
			</catgry>
			<catgry>
				<catValu>69</catValu>
				<labl>Post-graduate and specialization studies</labl>
			</catgry>
			<catgry>
				<catValu>70</catValu>
				<labl>Studies not classifiable by grade</labl>
			</catgry>
			<catgry>
				<catValu>71</catValu>
				<labl>Without studies</labl>
			</catgry>
			<catgry>
				<catValu>72</catValu>
				<labl>Studies not well specified or insufficiently described</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_EDLEVEL" dcml="0" files="P" intrvl="discrete" name="ES1981A_EDLEVEL">
			<location EndPos="199" StartPos="198" width="2"></location>
			<labl>Level of instruction</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A416 ES81A417 ES81A418"&gt;&lt;span class="em"&gt;11.  Educational attainment&lt;/span&gt;&lt;br /&gt;Indicate the highest level of study that you have completed and passed.&lt;br /&gt;For example: Law, graduated with degree; Medicine, 4th year; Upper level baccalaureate, 5th grade; elementary through 11th grade; elementary school graduate; Basic general education, 6th year; etc.&lt;br /&gt;If you have never attended school, even if you know how to read and write, write "no studies"&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons age 10+ [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's level of instruction.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>5-year primary, complete</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>5-year primary, incomplete</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Middle school, complete</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Middle school, incomplete</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Highschool, complete</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Highschool, incomplete</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Higher education (associate degrees, technical careers), complete</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Higher education (associate degrees, technical careers), incomplete</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Higher education (bachelors, masters, doctoral degrees), complete</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Higher education (bachelors, masters, doctoral degrees), incomplete</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Not classifiable by grade and not clearly specified</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Illiterate</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>No studies</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_GRADE" dcml="0" files="P" intrvl="discrete" name="ES1981A_GRADE">
			<location EndPos="200" StartPos="200" width="1"></location>
			<labl>Last grade passed</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A416 ES81A417 ES81A418"&gt;&lt;span class="em"&gt;11.  Educational attainment&lt;/span&gt;&lt;br /&gt;Indicate the highest level of study that you have completed and passed.&lt;br /&gt;For example: Law, graduated with degree; Medicine, 4th year; Upper level baccalaureate, 5th grade; elementary through 11th grade; elementary school graduate; Basic general education, 6th year; etc.&lt;br /&gt;If you have never attended school, even if you know how to read and write, write "no studies"&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's last grade passed. [we were not able to verify the validity of this variable]</txt>
			<catgry>
				<catValu>1</catValu>
				<labl>1st grade</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>2nd grade</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>3rd grade</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>4th grade</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>5th grade</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>6th grade</labl>
			</catgry>
			<catgry>
				<catValu>7</catValu>
				<labl>7th grade</labl>
			</catgry>
			<catgry>
				<catValu>8</catValu>
				<labl>8th grade</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>Studies completed or finished</labl>
			</catgry>
			<concept vocab="IPUMS">Education Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_EMPSTAT" dcml="0" files="P" intrvl="discrete" name="ES1981A_EMPSTAT">
			<location EndPos="201" StartPos="201" width="1"></location>
			<labl>Employment status</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A419 ES81A431"&gt;&lt;span class="em"&gt;12. Which of the following describes your current situation?&lt;/span&gt;&lt;br /&gt;Refer to the week of February 22-28, 1981.&lt;br /&gt;Mark with an X the box that corresponds to your answer.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Fulfilling military service&lt;br /&gt;[] 2 Working&lt;br /&gt;-in a paid occupation, profession, or job.&lt;br /&gt;-without pay, helping with the family business or farm, for 15 hours or more per week &lt;br /&gt;[] 3 Looking for your first job&lt;br /&gt;[] 4 Unemployed and looking for work, having worked previously&lt;br /&gt;[] 5 Retired, collecting a pension, etc.&lt;br /&gt;[] 6 Living off investments (living off income from rental properties, dividends, or other capital income)&lt;br /&gt;[] 7 Elementary school student (including those enrolled in pre-school) or other student&lt;br /&gt;[] 8 Keeping house&lt;br /&gt;[] 9 Permanently handicapped and unable to work&lt;br /&gt;[] 0 Other (e.g., children not in school, persons in the interval between school graduation and beginning a job search)&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's relationship to her economic activity (i.e., working, unemployed, etc.).</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>Others (minors who do not go to school, applicants, etc)</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>Completing military service</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Working (in a job, profession or paid employment/in a family help situation, 15 hours or more per week without pay)</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Looking for first employment</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Unemployed and looking for work, having worked previously</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>Retired, collection pension, etc.</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>Rent earner (lives off of rents, dividends or other investments)</labl>
			</catgry>
			<catgry>
				<catValu>7</catValu>
				<labl>Attend school (including pre-school or student)</labl>
			</catgry>
			<catgry>
				<catValu>8</catValu>
				<labl>Dedicated to household chores</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>Permanently incapacitated for work</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_IND" dcml="0" files="P" intrvl="discrete" name="ES1981A_IND">
			<location EndPos="204" StartPos="202" width="3"></location>
			<labl>Industry</labl>
			<qstn>
				<qstnLit>&lt;svar v="ES81A420 ES81A421 ES81A422"&gt;Answer questions 13, 14, and 15 only if you answered question 12 with answers 2 (Working) or 4 (Unemployed and looking for work, having worked previously).&lt;br /&gt;If the answer to question 12 was 2 (Working), refer to your principal occupation.&lt;br /&gt;If the answer to question 12 was 4 (Unemployed and looking for work, having worked previously), refer to your last job before you became unemployed.&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="all" v="ES81A420"&gt;&lt;span class="em"&gt;13. Activity or business of the establishment or place where you work&lt;/span&gt;&lt;br /&gt;Provide a detailed answer, such as the following: Wood furniture factory; workshop for repairing automobiles; grocery store; store where bread is sold; bakery; Public Administration office; company marketing pharmaceutical products; coal mine; farm and cattle ranch; etc.&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons who work or have worked [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's branch of economic activity.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>Non-specified activities</labl>
			</catgry>
			<catgry>
				<catValu>001</catValu>
				<labl>Agricultural production</labl>
			</catgry>
			<catgry>
				<catValu>002</catValu>
				<labl>Cattle production</labl>
			</catgry>
			<catgry>
				<catValu>003</catValu>
				<labl>Agricultural and cattle services</labl>
			</catgry>
			<catgry>
				<catValu>004</catValu>
				<labl>Hunting and cynegetic repopulation</labl>
			</catgry>
			<catgry>
				<catValu>005</catValu>
				<labl>Forestry</labl>
			</catgry>
			<catgry>
				<catValu>006</catValu>
				<labl>Fishing</labl>
			</catgry>
			<catgry>
				<catValu>011</catValu>
				<labl>Extraction and agglomeration of solid combustibles and coke</labl>
			</catgry>
			<catgry>
				<catValu>012</catValu>
				<labl>Extraction of petroleum and natural gas</labl>
			</catgry>
			<catgry>
				<catValu>013</catValu>
				<labl>Petroleum refining</labl>
			</catgry>
			<catgry>
				<catValu>014</catValu>
				<labl>Extraction and transformation of radioactive minerals</labl>
			</catgry>
			<catgry>
				<catValu>015</catValu>
				<labl>Production, transportation, and distribution of electric energy, gas, vapor, and hot water</labl>
			</catgry>
			<catgry>
				<catValu>016</catValu>
				<labl>Collection, purification, and distribution of water</labl>
			</catgry>
			<catgry>
				<catValu>021</catValu>
				<labl>Extraction and preparation of metallic minerals</labl>
			</catgry>
			<catgry>
				<catValu>022</catValu>
				<labl>Production and first transformation of metals</labl>
			</catgry>
			<catgry>
				<catValu>023</catValu>
				<labl>Extraction of non-metal and non-energy minerals; peat</labl>
			</catgry>
			<catgry>
				<catValu>024</catValu>
				<labl>Industries of non-metal mineral products</labl>
			</catgry>
			<catgry>
				<catValu>025</catValu>
				<labl>Chemical industries</labl>
			</catgry>
			<catgry>
				<catValu>031</catValu>
				<labl>Manufacture of metal products (except machinery and transportation materials)</labl>
			</catgry>
			<catgry>
				<catValu>032</catValu>
				<labl>Construction of machinery and mechanical equipment</labl>
			</catgry>
			<catgry>
				<catValu>033</catValu>
				<labl>Construction of office machines and computers (including installation)</labl>
			</catgry>
			<catgry>
				<catValu>034</catValu>
				<labl>Construction of electrical machinery and materials</labl>
			</catgry>
			<catgry>
				<catValu>035</catValu>
				<labl>Manufacture of electronic material (except computers)</labl>
			</catgry>
			<catgry>
				<catValu>036</catValu>
				<labl>Construction of automobile vehicles and spare parts</labl>
			</catgry>
			<catgry>
				<catValu>037</catValu>
				<labl>Naval construction, ship repair and maintenance</labl>
			</catgry>
			<catgry>
				<catValu>038</catValu>
				<labl>Construction of other transportation materials</labl>
			</catgry>
			<catgry>
				<catValu>039</catValu>
				<labl>Manufacture or precision instruments, optical instruments and similar</labl>
			</catgry>
			<catgry>
				<catValu>042</catValu>
				<labl>Food, beverage, tobacco production industries</labl>
			</catgry>
			<catgry>
				<catValu>043</catValu>
				<labl>Textile industry</labl>
			</catgry>
			<catgry>
				<catValu>044</catValu>
				<labl>Leather industry</labl>
			</catgry>
			<catgry>
				<catValu>045</catValu>
				<labl>Industries of footwear, clothing, and other textile production</labl>
			</catgry>
			<catgry>
				<catValu>046</catValu>
				<labl>Wood, cork, and wood furniture industries</labl>
			</catgry>
			<catgry>
				<catValu>047</catValu>
				<labl>Paper industry and manufacture of paper products; graphic arts and editing</labl>
			</catgry>
			<catgry>
				<catValu>048</catValu>
				<labl>Rubber transformation industries and plastic materials</labl>
			</catgry>
			<catgry>
				<catValu>049</catValu>
				<labl>Other manufacturing industries</labl>
			</catgry>
			<catgry>
				<catValu>050</catValu>
				<labl>Construction</labl>
			</catgry>
			<catgry>
				<catValu>061</catValu>
				<labl>Wholesale commerce</labl>
			</catgry>
			<catgry>
				<catValu>062</catValu>
				<labl>Product recuperation</labl>
			</catgry>
			<catgry>
				<catValu>063</catValu>
				<labl>Commercial intermediaries</labl>
			</catgry>
			<catgry>
				<catValu>064</catValu>
				<labl>Retail commerce</labl>
			</catgry>
			<catgry>
				<catValu>065</catValu>
				<labl>Restaurants and cafes (without housing)</labl>
			</catgry>
			<catgry>
				<catValu>066</catValu>
				<labl>Hotels</labl>
			</catgry>
			<catgry>
				<catValu>067</catValu>
				<labl>Repairs</labl>
			</catgry>
			<catgry>
				<catValu>071</catValu>
				<labl>Railroad transportation</labl>
			</catgry>
			<catgry>
				<catValu>072</catValu>
				<labl>Other terrestrial transportation</labl>
			</catgry>
			<catgry>
				<catValu>073</catValu>
				<labl>Maritime and fluvial transportation</labl>
			</catgry>
			<catgry>
				<catValu>074</catValu>
				<labl>Air transportation</labl>
			</catgry>
			<catgry>
				<catValu>075</catValu>
				<labl>Activities related to transportation</labl>
			</catgry>
			<catgry>
				<catValu>076</catValu>
				<labl>Communications</labl>
			</catgry>
			<catgry>
				<catValu>081</catValu>
				<labl>Financial institutions</labl>
			</catgry>
			<catgry>
				<catValu>082</catValu>
				<labl>Insurance</labl>
			</catgry>
			<catgry>
				<catValu>083</catValu>
				<labl>Financial and insurance auxiliaries.  Real estate activities</labl>
			</catgry>
			<catgry>
				<catValu>084</catValu>
				<labl>Services provided to businesses</labl>
			</catgry>
			<catgry>
				<catValu>085</catValu>
				<labl>Property (mobile) rental</labl>
			</catgry>
			<catgry>
				<catValu>086</catValu>
				<labl>Real estate rental</labl>
			</catgry>
			<catgry>
				<catValu>091</catValu>
				<labl>Public administration.  National defense and social security</labl>
			</catgry>
			<catgry>
				<catValu>092</catValu>
				<labl>Services of cleaning public roads, cleaning and similar</labl>
			</catgry>
			<catgry>
				<catValu>093</catValu>
				<labl>Education and research</labl>
			</catgry>
			<catgry>
				<catValu>094</catValu>
				<labl>Healthcare and veterinary services</labl>
			</catgry>
			<catgry>
				<catValu>095</catValu>
				<labl>Social assistance and other services provided to the community</labl>
			</catgry>
			<catgry>
				<catValu>096</catValu>
				<labl>Recreational and cultural services</labl>
			</catgry>
			<catgry>
				<catValu>097</catValu>
				<labl>Personal services</labl>
			</catgry>
			<catgry>
				<catValu>098</catValu>
				<labl>Domestic services</labl>
			</catgry>
			<catgry>
				<catValu>099</catValu>
				<labl>Diplomatic representations and international organizations</labl>
			</catgry>
			<catgry>
				<catValu>999</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Work: Industry Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_OCC" dcml="0" files="P" intrvl="discrete" name="ES1981A_OCC">
			<location EndPos="207" StartPos="205" width="3"></location>
			<labl>Occupation</labl>
			<qstn>
				<qstnLit>&lt;svar v="ES81A420 ES81A421 ES81A422"&gt;Answer questions 13, 14, and 15 only if you answered question 12 with answers 2 (Working) or 4 (Unemployed and looking for work, having worked previously).&lt;br /&gt;If the answer to question 12 was 2 (Working), refer to your principal occupation.&lt;br /&gt;If the answer to question 12 was 4 (Unemployed and looking for work, having worked previously), refer to your last job before you became unemployed.&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="ES81A421" v="ES81A421 ES81A431"&gt;&lt;span class="em"&gt;14. Your occupation in your principal job or profession&lt;/span&gt;&lt;br /&gt;Provide a detailed answer, such as the following: day laborer on construction projects; wine store worker; administrative assistant; mechanic on assembly line; electrician; mining engineer; etc.&lt;br /&gt;Professional rank/category (when applicable)&lt;br /&gt;For example: apprentice; day laborer; assistant; first officer; negotiating head; director; etc.&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons who work or have worked [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's job, occupation, or profession.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>Persons with occupations that are not well specified</labl>
			</catgry>
			<catgry>
				<catValu>001</catValu>
				<labl>Professionals in chemical, physics and geological sciences and similar technicians</labl>
			</catgry>
			<catgry>
				<catValu>002</catValu>
				<labl>Higher-level architects and engineers</labl>
			</catgry>
			<catgry>
				<catValu>003</catValu>
				<labl>Architecture and engineering technicians and similar</labl>
			</catgry>
			<catgry>
				<catValu>004</catValu>
				<labl>Pilots and officers in air and maritime navigation</labl>
			</catgry>
			<catgry>
				<catValu>005</catValu>
				<labl>Professionals in biological sciences, technicians in agronomy, forestry, and similar</labl>
			</catgry>
			<catgry>
				<catValu>006</catValu>
				<labl>Doctors, veterinarians, pharmacists, and similar</labl>
			</catgry>
			<catgry>
				<catValu>007</catValu>
				<labl>Sanitary technical assistants and medical, veterinary, and pharmacy assistants</labl>
			</catgry>
			<catgry>
				<catValu>008</catValu>
				<labl>Statisticians, mathematicians, estimators, informatics analysts and technicians in these sciences</labl>
			</catgry>
			<catgry>
				<catValu>009</catValu>
				<labl>Economists</labl>
			</catgry>
			<catgry>
				<catValu>011</catValu>
				<labl>Accounting specialists and technicians</labl>
			</catgry>
			<catgry>
				<catValu>012</catValu>
				<labl>Legal professionals</labl>
			</catgry>
			<catgry>
				<catValu>013</catValu>
				<labl>Professors</labl>
			</catgry>
			<catgry>
				<catValu>014</catValu>
				<labl>Members of the clergy and similar</labl>
			</catgry>
			<catgry>
				<catValu>015</catValu>
				<labl>Writers, newspaper reporters and similar</labl>
			</catgry>
			<catgry>
				<catValu>016</catValu>
				<labl>Sculptors, painters, decorators, photographers, and similar professionals</labl>
			</catgry>
			<catgry>
				<catValu>017</catValu>
				<labl>Professionals in music and artistic entertainment</labl>
			</catgry>
			<catgry>
				<catValu>018</catValu>
				<labl>Sports professionals</labl>
			</catgry>
			<catgry>
				<catValu>019</catValu>
				<labl>Professionals, technicians and similar not classified elsewhere</labl>
			</catgry>
			<catgry>
				<catValu>020</catValu>
				<labl>Members of government, legislative and consulting organizations and directive personnel in public administration</labl>
			</catgry>
			<catgry>
				<catValu>021</catValu>
				<labl>Business directors and managers</labl>
			</catgry>
			<catgry>
				<catValu>022</catValu>
				<labl>Professionals in the armed forces</labl>
			</catgry>
			<catgry>
				<catValu>031</catValu>
				<labl>Bosses of public and private administrative offices</labl>
			</catgry>
			<catgry>
				<catValu>032</catValu>
				<labl>Short-hand takers, typists and operators of machines for perforating cards and tapes and similar</labl>
			</catgry>
			<catgry>
				<catValu>033</catValu>
				<labl>Employees of accounting and cashier offices, ticket vendors, and similar</labl>
			</catgry>
			<catgry>
				<catValu>034</catValu>
				<labl>Operators of machinery for account collecting, accounting, calculating, and automatic data processing</labl>
			</catgry>
			<catgry>
				<catValu>035</catValu>
				<labl>Bosses and inspectors in transportation and communications services</labl>
			</catgry>
			<catgry>
				<catValu>036</catValu>
				<labl>Train bosses, train inspectors and ticket collectors in passenger transportation means</labl>
			</catgry>
			<catgry>
				<catValu>037</catValu>
				<labl>Mailmen, sorters and messengers</labl>
			</catgry>
			<catgry>
				<catValu>038</catValu>
				<labl>Telephone and telegraph operators and similar</labl>
			</catgry>
			<catgry>
				<catValu>039</catValu>
				<labl>Employees in administrative services and similar not classified elsewhere</labl>
			</catgry>
			<catgry>
				<catValu>040</catValu>
				<labl>Directors and managers of businesses and commercial establishments</labl>
			</catgry>
			<catgry>
				<catValu>041</catValu>
				<labl>Owners-managers of businesses and commercial establishments</labl>
			</catgry>
			<catgry>
				<catValu>042</catValu>
				<labl>Sales bosses and buying bosses and agents</labl>
			</catgry>
			<catgry>
				<catValu>043</catValu>
				<labl>Sales technical agents, business travelers and representatives</labl>
			</catgry>
			<catgry>
				<catValu>044</catValu>
				<labl>Exchange and investment agents, business investors, real estate, insurance, and other agents</labl>
			</catgry>
			<catgry>
				<catValu>045</catValu>
				<labl>Commercial employees, salesmen, and similar</labl>
			</catgry>
			<catgry>
				<catValu>049</catValu>
				<labl>Comerciantes, vendedores y similares no clasificados en otras rubricas</labl>
			</catgry>
			<catgry>
				<catValu>050</catValu>
				<labl>Directors and managers of hotel and similar services</labl>
			</catgry>
			<catgry>
				<catValu>051</catValu>
				<labl>Owners-managers of hotel and similar establishments</labl>
			</catgry>
			<catgry>
				<catValu>052</catValu>
				<labl>Supervisors of domestic service employees in establishments and homes</labl>
			</catgry>
			<catgry>
				<catValu>053</catValu>
				<labl>Cooks, housekeepers and similar</labl>
			</catgry>
			<catgry>
				<catValu>054</catValu>
				<labl>Service personnel in establishments, homes and similar not classified in other primary groups</labl>
			</catgry>
			<catgry>
				<catValu>055</catValu>
				<labl>Concierges, doormen, cleaning personnel in buildings and similar</labl>
			</catgry>
			<catgry>
				<catValu>056</catValu>
				<labl>Workers in washing, cleaning and pressing clothes and similar</labl>
			</catgry>
			<catgry>
				<catValu>057</catValu>
				<labl>Personnel in barber, beauty treatment and similar services</labl>
			</catgry>
			<catgry>
				<catValu>058</catValu>
				<labl>Personnel in protection and security services</labl>
			</catgry>
			<catgry>
				<catValu>059</catValu>
				<labl>Personnel in diverse services not classified in other subgroups</labl>
			</catgry>
			<catgry>
				<catValu>060</catValu>
				<labl>Directors ad bosses or agricultural and fishing businesses and enterprises</labl>
			</catgry>
			<catgry>
				<catValu>061</catValu>
				<labl>Self-employed workers in agricultural and fishing enterprises</labl>
			</catgry>
			<catgry>
				<catValu>062</catValu>
				<labl>Agricultural, ranching, and similar workers</labl>
			</catgry>
			<catgry>
				<catValu>063</catValu>
				<labl>Forestry workers</labl>
			</catgry>
			<catgry>
				<catValu>064</catValu>
				<labl>Workers in fishing, hunting, and similar</labl>
			</catgry>
			<catgry>
				<catValu>070</catValu>
				<labl>Supervisors, shop bosses, overseers and general managers</labl>
			</catgry>
			<catgry>
				<catValu>071</catValu>
				<labl>Miners, quarry workers, and other workers in mineral extraction (including liquids and gases)</labl>
			</catgry>
			<catgry>
				<catValu>072</catValu>
				<labl>Ironworkers</labl>
			</catgry>
			<catgry>
				<catValu>073</catValu>
				<labl>Workers in the preparation and treatment of wood and manufacture of paper</labl>
			</catgry>
			<catgry>
				<catValu>074</catValu>
				<labl>Workers in the preparation and obtaining chemical products and similar workers</labl>
			</catgry>
			<catgry>
				<catValu>075</catValu>
				<labl>Workers in the preparation and obtaining textile products and similar</labl>
			</catgry>
			<catgry>
				<catValu>076</catValu>
				<labl>Workers in tanning, preparation, and treatment of hides</labl>
			</catgry>
			<catgry>
				<catValu>077</catValu>
				<labl>Workers in the preparation, manufacture, and manufacture of food products and beverages</labl>
			</catgry>
			<catgry>
				<catValu>078</catValu>
				<labl>Workers in the manufacture of tobacco products</labl>
			</catgry>
			<catgry>
				<catValu>079</catValu>
				<labl>Workers in the manufacture of clothing, upholsterers and similar</labl>
			</catgry>
			<catgry>
				<catValu>080</catValu>
				<labl>Workers in the manufacture of footwear and other products made of natural and artificial leather</labl>
			</catgry>
			<catgry>
				<catValu>081</catValu>
				<labl>Workers in the manufacture of furniture and other wood products</labl>
			</catgry>
			<catgry>
				<catValu>082</catValu>
				<labl>Workers in stone work, marble, and similar</labl>
			</catgry>
			<catgry>
				<catValu>083</catValu>
				<labl>Workers in metal forging and manufacture and adjustment of tools and metal parts</labl>
			</catgry>
			<catgry>
				<catValu>084</catValu>
				<labl>Mechanics, assemblers and adjusters of machinery, watchmakers, precision mechanics and similar</labl>
			</catgry>
			<catgry>
				<catValu>085</catValu>
				<labl>Electricians installers and assemblers of lines and electrical appliances and adjusters in electricity and electronics</labl>
			</catgry>
			<catgry>
				<catValu>086</catValu>
				<labl>Operators of radio and television transmitters, cinematograph sound and projection equipment</labl>
			</catgry>
			<catgry>
				<catValu>087</catValu>
				<labl>Plumbers, welders, laminators, boilermakers, and assemblers of metallic structures</labl>
			</catgry>
			<catgry>
				<catValu>088</catValu>
				<labl>Jewelers, silversmiths, and similar</labl>
			</catgry>
			<catgry>
				<catValu>089</catValu>
				<labl>Workers in the manufacture of glass and ceramic products</labl>
			</catgry>
			<catgry>
				<catValu>090</catValu>
				<labl>Workers in the manufacture of rubber and plastic products</labl>
			</catgry>
			<catgry>
				<catValu>091</catValu>
				<labl>Workers in the manufacture of paper and cardboard products</labl>
			</catgry>
			<catgry>
				<catValu>092</catValu>
				<labl>Workers in graphic arts</labl>
			</catgry>
			<catgry>
				<catValu>093</catValu>
				<labl>Painters</labl>
			</catgry>
			<catgry>
				<catValu>094</catValu>
				<labl>Artisans and similar workers not classified in subgroups above</labl>
			</catgry>
			<catgry>
				<catValu>095</catValu>
				<labl>Construction workers</labl>
			</catgry>
			<catgry>
				<catValu>096</catValu>
				<labl>Operators of non-mobile machinery and similar installations</labl>
			</catgry>
			<catgry>
				<catValu>097</catValu>
				<labl>Loading and unloading workers, movement of materials and merchandise, and land movement</labl>
			</catgry>
			<catgry>
				<catValu>098</catValu>
				<labl>Conductors and other personnel in the movement of transportation equipment</labl>
			</catgry>
			<catgry>
				<catValu>099</catValu>
				<labl>Workers not classified in other subgroups (day laborers)</labl>
			</catgry>
			<catgry>
				<catValu>999</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Work: Occupation Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_CLASSWK" dcml="0" files="P" intrvl="discrete" name="ES1981A_CLASSWK">
			<location EndPos="208" StartPos="208" width="1"></location>
			<labl>Class of worker</labl>
			<qstn>
				<qstnLit>&lt;svar v="ES81A420 ES81A421 ES81A422"&gt;Answer questions 13, 14, and 15 only if you answered question 12 with answers 2 (Working) or 4 (Unemployed and looking for work, having worked previously).&lt;br /&gt;If the answer to question 12 was 2 (Working), refer to your principal occupation.&lt;br /&gt;If the answer to question 12 was 4 (Unemployed and looking for work, having worked previously), refer to your last job before you became unemployed.&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="ES81A422" v="ES81A422 ES81A431"&gt;&lt;span class="em"&gt;15. Which of the following accurately describes your situation?&lt;/span&gt;&lt;br /&gt;Mark the corresponding box with an X.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Owner, businessman, or professional who employs other personnel&lt;br /&gt;[] 2 Businessman or professional who does not employ other personnel, or a person who is self-employed&lt;br /&gt;[] 3 Member of a production or commercial cooperative, or an employee of such a cooperative&lt;br /&gt;[] 4 Person who has a steady job, either for a salary, or as a day laborer, or working for commissions, or for any other type of remuneration&lt;br /&gt;[] 5 Person who works occasionally or intermittently, either for a salary, or as a day laborer, or working for commissions, or for any other type of remuneration&lt;br /&gt;[] 6 Person who works, without set pay, in the family business owned by members of the household where you live&lt;br /&gt;[] 7 Another situation different from those described above&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons who work or have worked [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's employment situation.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>Owner, businessman or professional who employs personnel</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Businessman or professional who does not employ personnel, or self-employed person</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Member of a production cooperative or business that works in production</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>Person who has a permanent job, receiving salary, day wages, commission or any other type of payment</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>Person who has an occasional or temporary job, receiving salary, day wages, commission or any other type of payment</labl>
			</catgry>
			<catgry>
				<catValu>6</catValu>
				<labl>Person who works without fixed payment in a company or business owned by a family member with whom he/she lives</labl>
			</catgry>
			<catgry>
				<catValu>7</catValu>
				<labl>Other situation different from those described above</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_CHBORN" dcml="0" files="P" intrvl="discrete" name="ES1981A_CHBORN">
			<location EndPos="210" StartPos="209" width="2"></location>
			<labl>Number of children born alive</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A423"&gt;&lt;span class="em"&gt;16. For women who are currently married or have ever been married&lt;/span&gt;&lt;br /&gt;How many live births have you had?  (Include non-stillborn children who have died.)&lt;br /&gt;If you have not had any children, write 0.&lt;br /&gt;&lt;div class="i1"&gt;_ _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Females age 14+ who are or were married [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's number of children born alive.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>No children</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>One child</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>2 children</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>3</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>4</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>5</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>6</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>7</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>8</labl>
			</catgry>
			<catgry>
				<catValu>09</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>99</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Fertility and Mortality Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_YRMAR" dcml="0" files="P" intrvl="discrete" name="ES1981A_YRMAR">
			<location EndPos="214" StartPos="211" width="4"></location>
			<labl>Year of marriage</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A424"&gt;&lt;span class="em"&gt;17. For women who are married and in their first marriage&lt;/span&gt;&lt;br /&gt;Year when first married&lt;br /&gt;&lt;div class="i1"&gt;1 9 _ _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Females in their first marriage [discrepancies: type I none; type II 0.7%]</universe>
			<txt>This variable indicates the respondent's year of marriage.</txt>
			<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>9999</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_WKPLACE" dcml="0" files="P" intrvl="discrete" name="ES1981A_WKPLACE">
			<location EndPos="215" StartPos="215" width="1"></location>
			<labl>Place of work or study</labl>
			<qstn>
				<qstnLit>&lt;svar v="ES81A425 ES81A426 ES81A427 ES81A428 ES81A429"&gt;&lt;span class="em"&gt;18. Answer only if the answer to question 12 was 2 or 7&lt;/span&gt;&lt;br /&gt;(i.e., for persons who are currently working or who are elementary school students or other students)&lt;br /&gt;Write the line number (the person's sequential number in the household) for each person who should answer this question.&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="all" v="ES81A425 ES81A426 ES81A427"&gt;&lt;div class="i1"&gt;&lt;span class="em"&gt;Workplace or school location&lt;/span&gt;&lt;br /&gt;1. Has no set place of work (truck drivers, traveling sales representatives, etc.).  Do not place deliverymen, bus drivers, taxi drivers, etc. in this category; they should refer to the place where they pick up their vehicle for work.&lt;br /&gt;2. Works or studies in this municipality.&lt;br /&gt;3. Works or studies in another municipality. For those with an answer of "3," write the municipality and province where the person works or studies.&lt;br /&gt;&lt;br /&gt;Mark the corresponding box with an X.&lt;/div&gt;&lt;br /&gt;&lt;div class="i2"&gt;[] 1 Does not have a set place of work.&lt;br /&gt;[] 2 In the same municipality where enumerated&lt;br /&gt;[] 3 In another municipality&lt;br /&gt;___ Municipality&lt;br /&gt;___ Province&lt;br /&gt;_ _ / _ _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons who work or study [discrepancies: none]</universe>
			<txt>This variable indicates whether the respondent's place of work or study is fixed, in the same municipality of residence or a different one.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>In collectives</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>Does not have a fixed place for work or study</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>Works or studies in this municipality</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>Works or studies in another municipality</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_TRANS" dcml="0" files="P" intrvl="discrete" name="ES1981A_TRANS">
			<location EndPos="217" StartPos="216" width="2"></location>
			<labl>Means of transportation</labl>
			<qstn>
				<qstnLit>&lt;svar v="ES81A425 ES81A426 ES81A427 ES81A428 ES81A429"&gt;&lt;span class="em"&gt;18. Answer only if the answer to question 12 was 2 or 7&lt;/span&gt;&lt;br /&gt;(i.e., for persons who are currently working or who are elementary school students or other students)&lt;br /&gt;Write the line number (the person's sequential number in the household) for each person who should answer this question.&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="all" v="ES81A428 ES81A429"&gt;&lt;div class="i1"&gt;&lt;span class="em"&gt;Mode of transportation to workplace or school&lt;/span&gt;&lt;br /&gt;What is the method of transportation usually used for the majority of the trip to the workplace or school?&lt;br /&gt;Mark the corresponding box with an X (see above).&lt;/div&gt;&lt;br /&gt;&lt;div class="i2"&gt;[] 1 Does not travel&lt;br /&gt;[] 2 Walks&lt;br /&gt;[] 3 Bicycle or motorcycle&lt;br /&gt;[] 4 Train&lt;br /&gt;[] 5 Subway&lt;br /&gt;[] 6 School bus or bus provided by the workplace&lt;br /&gt;[] 7 City bus or intercity bus, trolley (electrified or on tracks)&lt;br /&gt;[] 8 Private car&lt;br /&gt;[] 9 Other&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="i1"&gt;Approximately how long does the trip to work or school take, in minutes?&lt;br /&gt;Mark the corresponding box with an X.&lt;/div&gt;&lt;br /&gt;&lt;div class="i2"&gt;[] 1 Less than 10 minutes&lt;br /&gt;[] 2 10 to 19 minutes&lt;br /&gt;[] 3 20 to 39 minutes&lt;br /&gt;[] 4 40 to 49 minutes&lt;br /&gt;[] 5 More than 50 minutes&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons who work or study [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's means of transportation to work or study.</txt>
			<catgry>
				<catValu>00</catValu>
				<labl>In collective (buses)</labl>
			</catgry>
			<catgry>
				<catValu>01</catValu>
				<labl>Does not travel to work or study</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Walks</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Bicycle or motorcycle</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Train</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Metro</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>School bus or bus from place of employment</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Urban or interurban bus, trolleybus or tram</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Private car</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Others</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_TRAVTIME" dcml="0" files="P" intrvl="discrete" name="ES1981A_TRAVTIME">
			<location EndPos="218" StartPos="218" width="1"></location>
			<labl>Travel time to work or study</labl>
			<qstn>
				<qstnLit>&lt;svar v="ES81A425 ES81A426 ES81A427 ES81A428 ES81A429"&gt;&lt;span class="em"&gt;18. Answer only if the answer to question 12 was 2 or 7&lt;/span&gt;&lt;br /&gt;(i.e., for persons who are currently working or who are elementary school students or other students)&lt;br /&gt;Write the line number (the person's sequential number in the household) for each person who should answer this question.&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="all" v="ES81A428 ES81A429"&gt;&lt;div class="i1"&gt;&lt;span class="em"&gt;Mode of transportation to workplace or school&lt;/span&gt;&lt;br /&gt;What is the method of transportation usually used for the majority of the trip to the workplace or school?&lt;br /&gt;Mark the corresponding box with an X (see above).&lt;/div&gt;&lt;br /&gt;&lt;div class="i2"&gt;[] 1 Does not travel&lt;br /&gt;[] 2 Walks&lt;br /&gt;[] 3 Bicycle or motorcycle&lt;br /&gt;[] 4 Train&lt;br /&gt;[] 5 Subway&lt;br /&gt;[] 6 School bus or bus provided by the workplace&lt;br /&gt;[] 7 City bus or intercity bus, trolley (electrified or on tracks)&lt;br /&gt;[] 8 Private car&lt;br /&gt;[] 9 Other&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="i1"&gt;Approximately how long does the trip to work or school take, in minutes?&lt;br /&gt;Mark the corresponding box with an X.&lt;/div&gt;&lt;br /&gt;&lt;div class="i2"&gt;[] 1 Less than 10 minutes&lt;br /&gt;[] 2 10 to 19 minutes&lt;br /&gt;[] 3 20 to 39 minutes&lt;br /&gt;[] 4 40 to 49 minutes&lt;br /&gt;[] 5 More than 50 minutes&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: Persons who work or study [discrepancies: none]</universe>
			<txt>This variable indicates the respondent's travel time to work or study.</txt>
			<catgry>
				<catValu>0</catValu>
				<labl>Does not have a fixed place for work or study and collectives</labl>
			</catgry>
			<catgry>
				<catValu>1</catValu>
				<labl>Less than 10 minutes</labl>
			</catgry>
			<catgry>
				<catValu>2</catValu>
				<labl>10 to 19 minutes</labl>
			</catgry>
			<catgry>
				<catValu>3</catValu>
				<labl>20 to 39 minutes</labl>
			</catgry>
			<catgry>
				<catValu>4</catValu>
				<labl>40 to 49 minutes</labl>
			</catgry>
			<catgry>
				<catValu>5</catValu>
				<labl>49+ minutes</labl>
			</catgry>
			<catgry>
				<catValu>9</catValu>
				<labl>NIU (not in universe)</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_AGE" dcml="0" files="P" intrvl="discrete" name="ES1981A_AGE">
			<location EndPos="221" StartPos="219" width="3"></location>
			<labl>Age</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A405 ES81A406 ES81A407 ES81A408 ES81A430"&gt;&lt;span class="em"&gt;6. Place and date of birth.&lt;/span&gt;&lt;br /&gt;Write the name of the municipality and province (or country, if you were born in another country) and your date of birth.&lt;br /&gt;&lt;div class="i1"&gt;___ Municipality&lt;br /&gt;___ Province  _ _&lt;br /&gt;_ _ / _ _ / 1 _ _ _  Day / month / year&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's (calculated) age.</txt>
			<catgry>
				<catValu>000</catValu>
				<labl>0</labl>
			</catgry>
			<catgry>
				<catValu>001</catValu>
				<labl>1</labl>
			</catgry>
			<catgry>
				<catValu>002</catValu>
				<labl>2</labl>
			</catgry>
			<catgry>
				<catValu>003</catValu>
				<labl>3</labl>
			</catgry>
			<catgry>
				<catValu>004</catValu>
				<labl>4</labl>
			</catgry>
			<catgry>
				<catValu>005</catValu>
				<labl>5</labl>
			</catgry>
			<catgry>
				<catValu>006</catValu>
				<labl>6</labl>
			</catgry>
			<catgry>
				<catValu>007</catValu>
				<labl>7</labl>
			</catgry>
			<catgry>
				<catValu>008</catValu>
				<labl>8</labl>
			</catgry>
			<catgry>
				<catValu>009</catValu>
				<labl>9</labl>
			</catgry>
			<catgry>
				<catValu>010</catValu>
				<labl>10</labl>
			</catgry>
			<catgry>
				<catValu>011</catValu>
				<labl>11</labl>
			</catgry>
			<catgry>
				<catValu>012</catValu>
				<labl>12</labl>
			</catgry>
			<catgry>
				<catValu>013</catValu>
				<labl>13</labl>
			</catgry>
			<catgry>
				<catValu>014</catValu>
				<labl>14</labl>
			</catgry>
			<catgry>
				<catValu>015</catValu>
				<labl>15</labl>
			</catgry>
			<catgry>
				<catValu>016</catValu>
				<labl>16</labl>
			</catgry>
			<catgry>
				<catValu>017</catValu>
				<labl>17</labl>
			</catgry>
			<catgry>
				<catValu>018</catValu>
				<labl>18</labl>
			</catgry>
			<catgry>
				<catValu>019</catValu>
				<labl>19</labl>
			</catgry>
			<catgry>
				<catValu>020</catValu>
				<labl>20</labl>
			</catgry>
			<catgry>
				<catValu>021</catValu>
				<labl>21</labl>
			</catgry>
			<catgry>
				<catValu>022</catValu>
				<labl>22</labl>
			</catgry>
			<catgry>
				<catValu>023</catValu>
				<labl>23</labl>
			</catgry>
			<catgry>
				<catValu>024</catValu>
				<labl>24</labl>
			</catgry>
			<catgry>
				<catValu>025</catValu>
				<labl>25</labl>
			</catgry>
			<catgry>
				<catValu>026</catValu>
				<labl>26</labl>
			</catgry>
			<catgry>
				<catValu>027</catValu>
				<labl>27</labl>
			</catgry>
			<catgry>
				<catValu>028</catValu>
				<labl>28</labl>
			</catgry>
			<catgry>
				<catValu>029</catValu>
				<labl>29</labl>
			</catgry>
			<catgry>
				<catValu>030</catValu>
				<labl>30</labl>
			</catgry>
			<catgry>
				<catValu>031</catValu>
				<labl>31</labl>
			</catgry>
			<catgry>
				<catValu>032</catValu>
				<labl>32</labl>
			</catgry>
			<catgry>
				<catValu>033</catValu>
				<labl>33</labl>
			</catgry>
			<catgry>
				<catValu>034</catValu>
				<labl>34</labl>
			</catgry>
			<catgry>
				<catValu>035</catValu>
				<labl>35</labl>
			</catgry>
			<catgry>
				<catValu>036</catValu>
				<labl>36</labl>
			</catgry>
			<catgry>
				<catValu>037</catValu>
				<labl>37</labl>
			</catgry>
			<catgry>
				<catValu>038</catValu>
				<labl>38</labl>
			</catgry>
			<catgry>
				<catValu>039</catValu>
				<labl>39</labl>
			</catgry>
			<catgry>
				<catValu>040</catValu>
				<labl>40</labl>
			</catgry>
			<catgry>
				<catValu>041</catValu>
				<labl>41</labl>
			</catgry>
			<catgry>
				<catValu>042</catValu>
				<labl>42</labl>
			</catgry>
			<catgry>
				<catValu>043</catValu>
				<labl>43</labl>
			</catgry>
			<catgry>
				<catValu>044</catValu>
				<labl>44</labl>
			</catgry>
			<catgry>
				<catValu>045</catValu>
				<labl>45</labl>
			</catgry>
			<catgry>
				<catValu>046</catValu>
				<labl>46</labl>
			</catgry>
			<catgry>
				<catValu>047</catValu>
				<labl>47</labl>
			</catgry>
			<catgry>
				<catValu>048</catValu>
				<labl>48</labl>
			</catgry>
			<catgry>
				<catValu>049</catValu>
				<labl>49</labl>
			</catgry>
			<catgry>
				<catValu>050</catValu>
				<labl>50</labl>
			</catgry>
			<catgry>
				<catValu>051</catValu>
				<labl>51</labl>
			</catgry>
			<catgry>
				<catValu>052</catValu>
				<labl>52</labl>
			</catgry>
			<catgry>
				<catValu>053</catValu>
				<labl>53</labl>
			</catgry>
			<catgry>
				<catValu>054</catValu>
				<labl>54</labl>
			</catgry>
			<catgry>
				<catValu>055</catValu>
				<labl>55</labl>
			</catgry>
			<catgry>
				<catValu>056</catValu>
				<labl>56</labl>
			</catgry>
			<catgry>
				<catValu>057</catValu>
				<labl>57</labl>
			</catgry>
			<catgry>
				<catValu>058</catValu>
				<labl>58</labl>
			</catgry>
			<catgry>
				<catValu>059</catValu>
				<labl>59</labl>
			</catgry>
			<catgry>
				<catValu>060</catValu>
				<labl>60</labl>
			</catgry>
			<catgry>
				<catValu>061</catValu>
				<labl>61</labl>
			</catgry>
			<catgry>
				<catValu>062</catValu>
				<labl>62</labl>
			</catgry>
			<catgry>
				<catValu>063</catValu>
				<labl>63</labl>
			</catgry>
			<catgry>
				<catValu>064</catValu>
				<labl>64</labl>
			</catgry>
			<catgry>
				<catValu>065</catValu>
				<labl>65</labl>
			</catgry>
			<catgry>
				<catValu>066</catValu>
				<labl>66</labl>
			</catgry>
			<catgry>
				<catValu>067</catValu>
				<labl>67</labl>
			</catgry>
			<catgry>
				<catValu>068</catValu>
				<labl>68</labl>
			</catgry>
			<catgry>
				<catValu>069</catValu>
				<labl>69</labl>
			</catgry>
			<catgry>
				<catValu>070</catValu>
				<labl>70</labl>
			</catgry>
			<catgry>
				<catValu>071</catValu>
				<labl>71</labl>
			</catgry>
			<catgry>
				<catValu>072</catValu>
				<labl>72</labl>
			</catgry>
			<catgry>
				<catValu>073</catValu>
				<labl>73</labl>
			</catgry>
			<catgry>
				<catValu>074</catValu>
				<labl>74</labl>
			</catgry>
			<catgry>
				<catValu>075</catValu>
				<labl>75</labl>
			</catgry>
			<catgry>
				<catValu>076</catValu>
				<labl>76</labl>
			</catgry>
			<catgry>
				<catValu>077</catValu>
				<labl>77</labl>
			</catgry>
			<catgry>
				<catValu>078</catValu>
				<labl>78</labl>
			</catgry>
			<catgry>
				<catValu>079</catValu>
				<labl>79</labl>
			</catgry>
			<catgry>
				<catValu>080</catValu>
				<labl>80</labl>
			</catgry>
			<catgry>
				<catValu>081</catValu>
				<labl>81</labl>
			</catgry>
			<catgry>
				<catValu>082</catValu>
				<labl>82</labl>
			</catgry>
			<catgry>
				<catValu>083</catValu>
				<labl>83</labl>
			</catgry>
			<catgry>
				<catValu>084</catValu>
				<labl>84</labl>
			</catgry>
			<catgry>
				<catValu>085</catValu>
				<labl>85</labl>
			</catgry>
			<catgry>
				<catValu>086</catValu>
				<labl>86</labl>
			</catgry>
			<catgry>
				<catValu>087</catValu>
				<labl>87</labl>
			</catgry>
			<catgry>
				<catValu>088</catValu>
				<labl>88</labl>
			</catgry>
			<catgry>
				<catValu>089</catValu>
				<labl>89</labl>
			</catgry>
			<catgry>
				<catValu>090</catValu>
				<labl>90</labl>
			</catgry>
			<catgry>
				<catValu>091</catValu>
				<labl>91</labl>
			</catgry>
			<catgry>
				<catValu>092</catValu>
				<labl>92</labl>
			</catgry>
			<catgry>
				<catValu>093</catValu>
				<labl>93</labl>
			</catgry>
			<catgry>
				<catValu>094</catValu>
				<labl>94</labl>
			</catgry>
			<catgry>
				<catValu>095</catValu>
				<labl>95</labl>
			</catgry>
			<catgry>
				<catValu>096</catValu>
				<labl>96</labl>
			</catgry>
			<catgry>
				<catValu>097</catValu>
				<labl>97</labl>
			</catgry>
			<catgry>
				<catValu>098</catValu>
				<labl>98</labl>
			</catgry>
			<catgry>
				<catValu>099</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>
			<concept vocab="IPUMS">Demographic Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_SES" dcml="0" files="P" intrvl="discrete" name="ES1981A_SES">
			<location EndPos="223" StartPos="222" width="2"></location>
			<labl>Socioeconomic condition</labl>
			<qstn>
				<qstnLit>&lt;svar a="all" v="ES81A419 ES81A431"&gt;&lt;span class="em"&gt;12. Which of the following describes your current situation?&lt;/span&gt;&lt;br /&gt;Refer to the week of February 22-28, 1981.&lt;br /&gt;Mark with an X the box that corresponds to your answer.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Fulfilling military service&lt;br /&gt;[] 2 Working&lt;br /&gt;-in a paid occupation, profession, or job.&lt;br /&gt;-without pay, helping with the family business or farm, for 15 hours or more per week &lt;br /&gt;[] 3 Looking for your first job&lt;br /&gt;[] 4 Unemployed and looking for work, having worked previously&lt;br /&gt;[] 5 Retired, collecting a pension, etc.&lt;br /&gt;[] 6 Living off investments (living off income from rental properties, dividends, or other capital income)&lt;br /&gt;[] 7 Elementary school student (including those enrolled in pre-school) or other student&lt;br /&gt;[] 8 Keeping house&lt;br /&gt;[] 9 Permanently handicapped and unable to work&lt;br /&gt;[] 0 Other (e.g., children not in school, persons in the interval between school graduation and beginning a job search)&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="ES81A421" v="ES81A421 ES81A431"&gt;&lt;span class="em"&gt;14. Your occupation in your principal job or profession&lt;/span&gt;&lt;br /&gt;Provide a detailed answer, such as the following: day laborer on construction projects; wine store worker; administrative assistant; mechanic on assembly line; electrician; mining engineer; etc.&lt;br /&gt;Professional rank/category (when applicable)&lt;br /&gt;For example: apprentice; day laborer; assistant; first officer; negotiating head; director; etc.&lt;br /&gt;&lt;div class="i1"&gt;___&lt;br /&gt;___&lt;br /&gt;_ _ / _&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;&lt;/p&gt;

&lt;p&gt;&lt;svar a="ES81A422" v="ES81A422 ES81A431"&gt;&lt;span class="em"&gt;15. Which of the following accurately describes your situation?&lt;/span&gt;&lt;br /&gt;Mark the corresponding box with an X.&lt;br /&gt;&lt;div class="i1"&gt;[] 1 Owner, businessman, or professional who employs other personnel&lt;br /&gt;[] 2 Businessman or professional who does not employ other personnel, or a person who is self-employed&lt;br /&gt;[] 3 Member of a production or commercial cooperative, or an employee of such a cooperative&lt;br /&gt;[] 4 Person who has a steady job, either for a salary, or as a day laborer, or working for commissions, or for any other type of remuneration&lt;br /&gt;[] 5 Person who works occasionally or intermittently, either for a salary, or as a day laborer, or working for commissions, or for any other type of remuneration&lt;br /&gt;[] 6 Person who works, without set pay, in the family business owned by members of the household where you live&lt;br /&gt;[] 7 Another situation different from those described above&lt;/div&gt;&lt;br /&gt;&lt;/svar&gt;</qstnLit>
			</qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the respondent's socioeconomic condition.</txt>
			<catgry>
				<catValu>01</catValu>
				<labl>Salaried agricultural businessmen</labl>
			</catgry>
			<catgry>
				<catValu>02</catValu>
				<labl>Non-salaried agricultural businessmen</labl>
			</catgry>
			<catgry>
				<catValu>03</catValu>
				<labl>Members of agricultural cooperatives</labl>
			</catgry>
			<catgry>
				<catValu>04</catValu>
				<labl>Directors and bosses of agricultural businesses and enterprises</labl>
			</catgry>
			<catgry>
				<catValu>05</catValu>
				<labl>Remaining agricultural workers</labl>
			</catgry>
			<catgry>
				<catValu>06</catValu>
				<labl>Professionals, technicians, and similar who are self-employed in their activity, with or without salary</labl>
			</catgry>
			<catgry>
				<catValu>07</catValu>
				<labl>Non-agricultural businessmen with salaries</labl>
			</catgry>
			<catgry>
				<catValu>08</catValu>
				<labl>Non-agricultural businessmen without salary</labl>
			</catgry>
			<catgry>
				<catValu>09</catValu>
				<labl>Members of non-agricultural cooperatives</labl>
			</catgry>
			<catgry>
				<catValu>10</catValu>
				<labl>Directors and bosses of non-agricultural businesses and associations, directive personnel of public administration and members of state organizations, autonomous communities and local corporations</labl>
			</catgry>
			<catgry>
				<catValu>11</catValu>
				<labl>Professionals, technicians and similar who practice their profession as employees of someone else</labl>
			</catgry>
			<catgry>
				<catValu>12</catValu>
				<labl>Heads of administrative departments, commercial departments and service departments of non-agricultural businesses and public administration</labl>
			</catgry>
			<catgry>
				<catValu>13</catValu>
				<labl>Remaining administrative and commercial personnel</labl>
			</catgry>
			<catgry>
				<catValu>14</catValu>
				<labl>Remaining service personnel</labl>
			</catgry>
			<catgry>
				<catValu>15</catValu>
				<labl>Non-agricultural supervisors and overseers</labl>
			</catgry>
			<catgry>
				<catValu>16</catValu>
				<labl>Non-agricultural qualified and specialized operators</labl>
			</catgry>
			<catgry>
				<catValu>17</catValu>
				<labl>Non-agricultural non-specialized operators</labl>
			</catgry>
			<catgry>
				<catValu>18</catValu>
				<labl>Professionals in the armed forces</labl>
			</catgry>
			<catgry>
				<catValu>19</catValu>
				<labl>Persons looking for first employment</labl>
			</catgry>
			<catgry>
				<catValu>20</catValu>
				<labl>Economically active persons who cannot be classified in any of the above sections</labl>
			</catgry>
			<catgry>
				<catValu>21</catValu>
				<labl>Unemployed persons not dependent on others (rent earners, retirees, etc.) (list 5 and 7)</labl>
			</catgry>
			<catgry>
				<catValu>22</catValu>
				<labl>Unemployed persons dependent on others (without self income) (list 7, 8, 9)</labl>
			</catgry>
			<catgry>
				<catValu>23</catValu>
				<labl>Other unemployed persons (list 0)</labl>
			</catgry>
			<catgry>
				<catValu>24</catValu>
				<labl>Persons counted separately</labl>
			</catgry>
			<catgry>
				<catValu>99</catValu>
				<labl>Unknown</labl>
			</catgry>
			<concept vocab="IPUMS">Work Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_WTPER2" dcml="4" files="P" intrvl="contin" name="ES1981A_WTPER2">
			<location EndPos="231" StartPos="224" width="8"></location>
			<labl>Population factor for Spanish residence</labl>
			<qstn></qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates the population factor for Spanish residence.</txt>
			<codInstr>This is a 8-digit numeric variable with 4 implied decimal places</codInstr>
			<concept vocab="IPUMS">Technical Person Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
		<var ID="ES1981A_WTPER" dcml="4" files="P" intrvl="contin" name="ES1981A_WTPER">
			<location EndPos="239" StartPos="232" width="8"></location>
			<labl>Population factor for presence on Spanish territory at time of census</labl>
			<qstn></qstn>
			<universe clusion="I">Spain 1981: All persons</universe>
			<txt>This variable indicates a population factor for presence on Spanish territory at time of census.</txt>
			<codInstr>This is a 8-digit numeric variable with 4 implied decimal places</codInstr>
			<concept vocab="IPUMS">Technical Person Variables -- PERSON</concept>
			<varFormat schema="other" type="numeric"></varFormat>
		</var>
	</dataDscr>
</codeBook>