Census of Population and Housing 2001, SpainDDI_ESP_2001_PHC_v01_M_v7.5_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSMay 20, 2024IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 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.Census of Population and Housing 2001, IPUMS Harmonized SubsetIPUMS PHCESP_2001_PHC_v01_M_v7.5_A_IPUMSInstituto Nacional de Estadisticas (INE)IPUMS(c) Copyright 2001, Instituto Nacional de Estadisticas (INE) and Minnesota Population CenterInstituto Nacional de Estadisticas (INE)Population and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.5Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDDisability Variables -- PERSONEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONUtilities Variables -- HOUSEHOLDGeography: O-Z Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDMigration: O-Z Variables -- PERSONHousehold Economic Variables -- HOUSEHOLDTechnical Person Variables -- PERSONUtilities Variables -- HOUSEHOLDDemographic Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDTechnical Household Variables -- HOUSEHOLDWork Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONTechnical Person Variables -- PERSONConstructed Household Variables -- HOUSEHOLDOther Household Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDGeography: O-Z Variables -- HOUSEHOLDEducation Variables -- PERSONMigration: Global Variables -- PERSONEthnicity and Language Variables -- PERSONEducation Variables -- PERSONWork: Occupation Variables -- PERSONWork Variables -- PERSONWork: Industry Variables -- PERSONOther Person Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONDemographic Variables -- PERSONNativity and Birthplace Variables -- PERSONMigration: Global Variables -- PERSONNovember 1, 2001November 1, 2001SpainMunicipalities with 20,000+ population combined by IPUMSPersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: Yes
- Households: yes
- 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 of the census.
- Households: Group of people residing in the same family dwelling. Sharing of expenses is not required. Family dwellings are those inhabited by one or more persons usually, but not necessarily, having kindred ties and who do not constitute a group quartes [see definition below].
- 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.Residents: persons who at the time of the census habitually reside in Spain. This excludes those persons who were in Spain at the time of the census, but did not reside there. The only exception are citizens and residents temporarily abroad. Lodging is a family dwelling that is mobile, semi-permanent, or improvised or even if it was not intended for residential purposes, is inhabited at the time of the census.Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: Spain 2001MICRODATA SOURCE: Instituto Nacional de Estadisticas (INE)
SAMPLE SIZE (person records): 2039274.
SAMPLE DESIGN: Systematic stratified sample
Lodging is a family dwelling that is mobile, semi-permanent, or improvised or even if it was not intended for residential purposes, is inhabited at the time of the census.Face-to-face [f2f]The are four forms: the dwelling, censal data, household data, and individual data forms.de jure, CENSUS DAY: November 1, 2001Expansion factor = 20.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.Instituto Nacional de Estadisticas (INE). 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 2001, 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 55455An 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.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.User-provided description: DOI:10.18128/D020.V7.5 Extract for es2001a, 2024ESP2001_PHC-H-H.datHousehold records714,473asciiMinnesota Population CenterVersion 7.5, IPUMS sampleESP2001_PHC-P-H.datPerson records2039274asciiMinnesota Population CenterVersion 7.5, IPUMS sampleRecord typeRECTYPE 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.HHouseholdPPersonTechnical Household Variables -- HOUSEHOLDCountryCOUNTRY 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).032Argentina051Armenia040Austria050Bangladesh112Belarus204Benin068Bolivia072Botswana076Brazil854Burkina Faso116Cambodia120Cameroon124Canada152Chile156China170Colombia188Costa Rica192Cuba208Denmark214Dominican Republic218Ecuador818Egypt222El Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Ivory Coast388Jamaica400Jordan404Kenya417Kyrgyz Republic418Laos426Lesotho430Liberia454Malawi458Malaysia466Mali480Mauritius484Mexico496Mongolia504Morocco508Mozambique104Myanmar524Nepal528Netherlands558Nicaragua566Nigeria578Norway586Pakistan275Palestine591Panama598Papua New Guinea600Paraguay604Peru608Philippines616Poland620Portugal630Puerto Rico642Romania643Russia646Rwanda662Saint Lucia686Senegal694Sierra Leone703Slovak Republic705Slovenia710South Africa728South Sudan724Spain729Sudan740Suriname752Sweden756Switzerland834Tanzania764Thailand768Togo780Trinidad and Tobago792Turkey800Uganda804Ukraine826United Kingdom840United States858Uruguay862Venezuela704Vietnam894Zambia716ZimbabweTechnical Household Variables -- HOUSEHOLDYearYEAR 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.170317031729172917871787180118011819181918451845184818481850185018511851185218521860186018611861186518651868186818701870187118711875187518801880188118811885188518901890189118911900190019011901191019101911191119601960196119611962196219631963196419641966196619681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020002001200120022002200320032004200420052005200620062007200720082008200920092010201020112011201220122013201320142014201520152016201620172017201820182019201920202020Technical Household Variables -- HOUSEHOLDIPUMS sample identifierSAMPLE 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).032197001Argentina 1970032198001Argentina 1980032199101Argentina 1991032200101Argentina 2001032201001Argentina 2010051200101Armenia 2001051201101Armenia 2011040197101Austria 1971040198101Austria 1981040199101Austria 1991040200101Austria 2001040201101Austria 2011050199101Bangladesh 1991050200101Bangladesh 2001050201101Bangladesh 2011112199901Belarus 1999112200901Belarus 2009204197901Benin 1979204199201Benin 1992204200201Benin 2002204201301Benin 2013068197601Bolivia 1976068199201Bolivia 1992068200101Bolivia 2001068201201Bolivia 2012072198101Botswana 1981072199101Botswana 1991072200101Botswana 2001072201101Botswana 2011076196001Brazil 1960076197001Brazil 1970076198001Brazil 1980076199101Brazil 1991076200001Brazil 2000076201001Brazil 2010854198501Burkina Faso 1985854199601Burkina Faso 1996854200601Burkina Faso 2006116199801Cambodia 1998116200401Cambodia 2004116200801Cambodia 2008116201301Cambodia 2013116201901Cambodia 2019120197601Cameroon 1976120198701Cameroon 1987120200501Cameroon 2005124185201Canada 1852124187101Canada 1871124188101Canada 1881124189101Canada 1891124190101Canada 1901124191101Canada 1911124197101Canada 1971124198101Canada 1981124199101Canada 1991124200101Canada 2001124201101Canada 2011152196001Chile 1960152197001Chile 1970152198201Chile 1982152199201Chile 1992152200201Chile 2002152201701Chile 2017156198201China 1982156199001China 1990156200001China 2000170196401Colombia 1964170197301Colombia 1973170198501Colombia 1985170199301Colombia 1993170200501Colombia 2005188196301Costa Rica 1963188197301Costa Rica 1973188198401Costa Rica 1984188200001Costa Rica 2000188201101Costa Rica 2011192200201Cuba 2002192201201Cuba 2012208178701Denmark 1787208180101Denmark 1801208184501Denmark 1845208188001Denmark 1880208188501Denmark 1885214196001Dominican Republic 1960214197001Dominican Republic 1970214198101Dominican Republic 1981214200201Dominican Republic 2002214201001Dominican Republic 2010218196201Ecuador 1962218197401Ecuador 1974218198201Ecuador 1982218199001Ecuador 1990218200101Ecuador 2001218201001Ecuador 2010818184801Egypt 1848818186801Egypt 1868818198601Egypt 1986818199601Egypt 1996818200601Egypt 2006222199201El Salvador 1992222200701El Salvador 2007231198401Ethiopia 1984231199401Ethiopia 1994231200701Ethiopia 2007242196601Fiji 1966242197601Fiji 1976242198601Fiji 1986242199601Fiji 1996242200701Fiji 2007242201401Fiji 2014246201001Finland 2010250196201France 1962250196801France 1968250197501France 1975250198201France 1982250199001France 1990250199901France 1999250200601France 2006250201101France 2011276181901Germany 1819 (Mecklenburg)276197001Germany 1970 (West)276197101Germany 1971 (East)276198101Germany 1981 (East)276198701Germany 1987 (West)288198401Ghana 1984288200001Ghana 2000288201001Ghana 2010300197101Greece 1971300198101Greece 1981300199101Greece 1991300200101Greece 2001300201101Greece 2011320196401Guatemala 1964320197301Guatemala 1973320198101Guatemala 1981320199401Guatemala 1994320200201Guatemala 2002324198301Guinea 1983324199601Guinea 1996324201401Guinea 2014332197101Haiti 1971332198201Haiti 1982332200301Haiti 2003340196101Honduras 1961340197401Honduras 1974340198801Honduras 1988340200101Honduras 2001348197001Hungary 1970348198001Hungary 1980348199001Hungary 1990348200101Hungary 2001348201101Hungary 2011352170301Iceland 1703352172901Iceland 1729352180101Iceland 1801352190101Iceland 1901352191001Iceland 1910356198341India 1983356198741India 1987356199341India 1993356199941India 1999356200441India 2004356200941India 2009360197101Indonesia 1971360197601Indonesia 1976360198001Indonesia 1980360198501Indonesia 1985360199001Indonesia 1990360199501Indonesia 1995360200001Indonesia 2000360200501Indonesia 2005360201001Indonesia 2010364200601Iran 2006364201101Iran 2011368199701Iraq 1997372190101Ireland 1901372191101Ireland 1911372197101Ireland 1971372197901Ireland 1979372198101Ireland 1981372198601Ireland 1986372199101Ireland 1991372199601Ireland 1996372200201Ireland 2002372200601Ireland 2006372201101Ireland 2011372201601Ireland 2016376197201Israel 1972376198301Israel 1983376199501Israel 1995376200801Israel 2008380200101Italy 2001380201101Italy 2011380201121Italy 2011 Q1 LFS380201221Italy 2012 Q1 LFS380201321Italy 2013 Q1 LFS380201421Italy 2014 Q1 LFS380201521Italy 2015 Q1 LFS380201621Italy 2016 Q1 LFS380201721Italy 2017 Q1 LFS380201821Italy 2018 Q1 LFS380201921Italy 2019 Q1 LFS380202021Italy 2020 Q1 LFS384198801Ivory Coast 1988384199801Ivory Coast 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008458197001Malaysia 1970458198001Malaysia 1980458199101Malaysia 1991458200001Malaysia 2000466198701Mali 1987466199801Mali 1998466200901Mali 2009480199001Mauritius 1990480200001Mauritius 2000480201101Mauritius 2011484196001Mexico 1960484197001Mexico 1970484199001Mexico 1990484199501Mexico 1995484200001Mexico 2000484200501Mexico 2005484201001Mexico 2010484201501Mexico 2015484202001Mexico 2020484200521Mexico 2005 Q1 LFS484200522Mexico 2005 Q2 LFS484200523Mexico 2005 Q3 LFS484200524Mexico 2005 Q4 LFS484200621Mexico 2006 Q1 LFS484200622Mexico 2006 Q2 LFS484200623Mexico 2006 Q3 LFS484200624Mexico 2006 Q4 LFS484200721Mexico 2007 Q1 LFS484200722Mexico 2007 Q2 LFS484200723Mexico 2007 Q3 LFS484200724Mexico 2007 Q4 LFS484200821Mexico 2008 Q1 LFS484200822Mexico 2008 Q2 LFS484200823Mexico 2008 Q3 LFS484200824Mexico 2008 Q4 LFS484200921Mexico 2009 Q1 LFS484200922Mexico 2009 Q2 LFS484200923Mexico 2009 Q3 LFS484200924Mexico 2009 Q4 LFS484201021Mexico 2010 Q1 LFS484201022Mexico 2010 Q2 LFS484201023Mexico 2010 Q3 LFS484201024Mexico 2010 Q4 LFS484201121Mexico 2011 Q1 LFS484201122Mexico 2011 Q2 LFS484201123Mexico 2011 Q3 LFS484201124Mexico 2011 Q4 LFS484201221Mexico 2012 Q1 LFS484201222Mexico 2012 Q2 LFS484201223Mexico 2012 Q3 LFS484201224Mexico 2012 Q4 LFS484201321Mexico 2013 Q1 LFS484201322Mexico 2013 Q2 LFS484201323Mexico 2013 Q3 LFS484201324Mexico 2013 Q4 LFS484201421Mexico 2014 Q1 LFS484201422Mexico 2014 Q2 LFS484201423Mexico 2014 Q3 LFS484201424Mexico 2014 Q4 LFS484201521Mexico 2015 Q1 LFS484201522Mexico 2015 Q2 LFS484201523Mexico 2015 Q3 LFS484201524Mexico 2015 Q4 LFS484201621Mexico 2016 Q1 LFS484201622Mexico 2016 Q2 LFS484201623Mexico 2016 Q3 LFS484201624Mexico 2016 Q4 LFS484201721Mexico 2017 Q1 LFS484201722Mexico 2017 Q2 LFS484201723Mexico 2017 Q3 LFS484201724Mexico 2017 Q4 LFS484201821Mexico 2018 Q1 LFS484201822Mexico 2018 Q2 LFS484201823Mexico 2018 Q3 LFS484201824Mexico 2018 Q4 LFS484201921Mexico 2019 Q1 LFS484201922Mexico 2019 Q2 LFS484201923Mexico 2019 Q3 LFS484201924Mexico 2019 Q4 LFS484202021Mexico 2020 Q1 LFS484202023Mexico 2020 Q3 LFS496198901Mongolia 1989496200001Mongolia 2000504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007104201401Myanmar 2014524200101Nepal 2001524201101Nepal 2011528196001Netherlands 1960528197101Netherlands 1971528200101Netherlands 2001528201101Netherlands 2011558197101Nicaragua 1971558199501Nicaragua 1995558200501Nicaragua 2005566200621Nigeria 2006566200721Nigeria 2007566200821Nigeria 2008566200921Nigeria 2009566201021Nigeria 2010578180101Norway 1801578186501Norway 1865578187501Norway 1875578190001Norway 1900578191001Norway 1910586197301Pakistan 1973586198101Pakistan 1981586199801Pakistan 1998275199701Palestine 1997275200701Palestine 2007275201701Palestine 2017591196001Panama 1960591197001Panama 1970591198001Panama 1980591199001Panama 1990591200001Panama 2000591201001Panama 2010598198001Papua New Guinea 1980598199001Papua New Guinea 1990598200001Papua New Guinea 2000600196201Paraguay 1962600197201Paraguay 1972600198201Paraguay 1982600199201Paraguay 1992600200201Paraguay 2002604199301Peru 1993604200701Peru 2007604201701Peru 2017608199001Philippines 1990608199501Philippines 1995608200001Philippines 2000608201001Philippines 2010616197801Poland 1978616198801Poland 1988616200201Poland 2002616201101Poland 2011620198101Portugal 1981620199101Portugal 1991620200101Portugal 2001620201101Portugal 2011630197001Puerto Rico 1970630198001Puerto Rico 1980630199001Puerto Rico 1990630200001Puerto Rico 2000630200501Puerto Rico 2005630201001Puerto Rico 2010630201501Puerto Rico 2015630202001Puerto Rico 2020642197701Romania 1977642199201Romania 1992642200201Romania 2002642201101Romania 2011643200201Russia 2002643201001Russia 2010646199101Rwanda 1991646200201Rwanda 2002646201201Rwanda 2012662198001Saint Lucia 1980662199101Saint Lucia 1991686198801Senegal 1988686200201Senegal 2002686201301Senegal 2013694200401Sierra Leone 2004694201501Sierra Leone 2015703199101Slovak Republic 1991703200101Slovak Republic 2001703201101Slovak Republic 2011705200201Slovenia 2002710199601South Africa 1996710200101South Africa 2001710200701South Africa 2007710201101South Africa 2011710201601South Africa 2016728200801South Sudan 2008724198101Spain 1981724199101Spain 1991724200101Spain 2001724201101Spain 2011724200521Spain 2005 Q1 LFS724200522Spain 2005 Q2 LFS724200523Spain 2005 Q3 LFS724200524Spain 2005 Q4 LFS724200621Spain 2006 Q1 LFS724200622Spain 2006 Q2 LFS724200623Spain 2006 Q3 LFS724200624Spain 2006 Q4 LFS724200721Spain 2007 Q1 LFS724200722Spain 2007 Q2 LFS724200723Spain 2007 Q3 LFS724200724Spain 2007 Q4 LFS724200821Spain 2008 Q1 LFS724200822Spain 2008 Q2 LFS724200823Spain 2008 Q3 LFS724200824Spain 2008 Q4 LFS724200921Spain 2009 Q1 LFS724200922Spain 2009 Q2 LFS724200923Spain 2009 Q3 LFS724200924Spain 2009 Q4 LFS724201021Spain 2010 Q1 LFS724201022Spain 2010 Q2 LFS724201023Spain 2010 Q3 LFS724201024Spain 2010 Q4 LFS724201121Spain 2011 Q1 LFS724201122Spain 2011 Q2 LFS724201123Spain 2011 Q3 LFS724201124Spain 2011 Q4 LFS724201221Spain 2012 Q1 LFS724201222Spain 2012 Q2 LFS724201223Spain 2012 Q3 LFS724201224Spain 2012 Q4 LFS724201321Spain 2013 Q1 LFS724201322Spain 2013 Q2 LFS724201323Spain 2013 Q3 LFS724201324Spain 2013 Q4 LFS724201421Spain 2014 Q1 LFS724201422Spain 2014 Q2 LFS724201423Spain 2014 Q3 LFS724201424Spain 2014 Q4 LFS724201521Spain 2015 Q1 LFS724201522Spain 2015 Q2 LFS724201523Spain 2015 Q3 LFS724201524Spain 2015 Q4 LFS724201621Spain 2016 Q1 LFS724201622Spain 2016 Q2 LFS724201623Spain 2016 Q3 LFS724201624Spain 2016 Q4 LFS724201721Spain 2017 Q1 LFS724201722Spain 2017 Q2 LFS724201723Spain 2017 Q3 LFS724201724Spain 2017 Q4 LFS724201821Spain 2018 Q1 LFS724201822Spain 2018 Q2 LFS724201823Spain 2018 Q3 LFS724201824Spain 2018 Q4 LFS724201921Spain 2019 Q1 LFS724201922Spain 2019 Q2 LFS724201923Spain 2019 Q3 LFS724201924Spain 2019 Q4 LFS724202021Spain 2020 Q1 LFS724202022Spain 2020 Q2 LFS724202023Spain 2020 Q3 LFS724202024Spain 2020 Q4 LFS729200801Sudan 2008740200401Suriname 2004740201201Suriname 2012752188001Sweden 1880752189001Sweden 1890752190001Sweden 1900752191001Sweden 1910756197001Switzerland 1970756198001Switzerland 1980756199001Switzerland 1990756200001Switzerland 2000756201101Switzerland 2011834198801Tanzania 1988834200201Tanzania 2002834201201Tanzania 2012764197001Thailand 1970764198001Thailand 1980764199001Thailand 1990764200001Thailand 2000768196001Togo 1960768197001Togo 1970768201001Togo 2010780197001Trinidad and Tobago 1970780198001Trinidad and Tobago 1980780199001Trinidad and Tobago 1990780200001Trinidad and Tobago 2000780201101Trinidad and Tobago 2011792198501Turkey 1985792199001Turkey 1990792200001Turkey 2000800199101Uganda 1991800200201Uganda 2002800201401Uganda 2014804200101Ukraine 2001826185101United Kingdom 1851 (England and Wales)826185102United Kingdom 1851 (Scotland)826185103United Kingdom 1851 (2% sample)826186101United Kingdom 1861 (England and Wales)826186102United Kingdom 1861 (Scotland)826187101United Kingdom 1871 (Scotland)826188101United Kingdom 1881 (England and Wales)826188102United Kingdom 1881 (Scotland)826189101United Kingdom 1891 (England and Wales)826189102United Kingdom 1891 (Scotland)826190101United Kingdom 1901 (England and Wales)826190102United Kingdom 1901 (Scotland)826191101United Kingdom 1911 (England and Wales)826196101United Kingdom 1961826197101United Kingdom 1971826199101United Kingdom 1991826200101United Kingdom 2001840185001United States 1850 (100%)840185002United States 1850 (1%)840186001United States 1860 (1%)840187001United States 1870 (1%)840188001United States 1880 (100%)840188002United States 1880 (10%)840190001United States 1900 (5%)840191001United States 1910 (1%)840196001United States 1960840197001United States 1970840198001United States 1980840199001United States 1990840200001United States 2000840200501United States 2005840201001United States 2010840201501United States 2015840202001United States 2020858196301Uruguay 1963858196302Uruguay 1963 (full count)858197501Uruguay 1975858197502Uruguay 1975 (full count)858198501Uruguay 1985858198502Uruguay 1985 (full count)858199601Uruguay 1996858199602Uruguay 1996 (full count)858200621Uruguay 2006858201101Uruguay 2011858201102Uruguay 2011 (full count)862197101Venezuela 1971862198101Venezuela 1981862199001Venezuela 1990862200101Venezuela 2001704198901Vietnam 1989704199901Vietnam 1999704200901Vietnam 2009704201901Vietnam 2019894199001Zambia 1990894200001Zambia 2000894201001Zambia 2010716201201Zimbabwe 2012Technical Household Variables -- HOUSEHOLDHousehold serial numberSERIAL 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.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.Technical Household Variables -- HOUSEHOLDNumber of person records in the householdPERSONS 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.PERSONS is a 4-digit numeric variable.Technical Household Variables -- HOUSEHOLDHousehold weightHHWT 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.HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Household Variables -- HOUSEHOLDSubsample numberSUBSAMP 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.001st 1% subsample012nd 1% subsample023rd 1% subsample034th 1% subsample045th 1% subsample056th 1% subsample067th 1% subsample078th 1% subsample089th 1% subsample0910th 1% subsample1011th 1% subsample1112th 1% subsample1213th 1% subsample1314th 1% subsample1415th 1% subsample1516th 1% subsample1617th 1% subsample1718th 1% subsample1819th 1% subsample1920th 1% subsample2021st 1% subsample2122nd 1% subsample2223rd 1% subsample2324th 1% subsample2425th 1% subsample2526th 1% subsample2627th 1% subsample2728th 1% subsample2829th 1% subsample2930th 1% subsample3031st 1% subsample3132nd 1% subsample3233rd 1% subsample3334th 1% subsample3435th 1% subsample3536th 1% subsample3637th 1% subsample3738th 1% subsample3839th 1% subsample3940th 1% subsample4041st 1% subsample4142nd 1% subsample4243rd 1% subsample4344th 1% subsample4445th 1% subsample4546th 1% subsample4647th 1% subsample4748th 1% subsample4849th 1% subsample4950th 1% subsample5051st 1% subsample5152nd 1% subsample5253rd 1% subsample5354th 1% subsample5455th 1% subsample5556th 1% subsample5657th 1% subsample5758th 1% subsample5859th 1% subsample5960th 1% subsample6061st 1% subsample6162nd 1% subsample6263rd 1% subsample6364th 1% subsample6465th 1% subsample6566th 1% subsample6667th 1% subsample6768th 1% subsample6869th 1% subsample6970th 1% subsample7071st 1% subsample7172nd 1% subsample7273rd 1% subsample7374th 1% subsample7475th 1% subsample7576th 1% subsample7677th 1% subsample7778th 1% subsample7879th 1% subsample7980th 1% subsample8081st 1% subsample8182nd 1% subsample8283rd 1% subsample8384th 1% subsample8485th 1% subsample8586th 1% subsample8687th 1% subsample8788th 1% subsample8889th 1% subsample8990th 1% subsample9091st 1% subsample9192nd 1% subsample9293rd 1% subsample9394th 1% subsample9495th 1% subsample9596th 1% subsample9697th 1% subsample9798th 1% subsample9899th 1% subsample99100th 1% subsampleTechnical Household Variables -- HOUSEHOLDStrata identifierThis variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.STRATA is a 12-digit numeric variable.Technical Household Variables -- HOUSEHOLDGroup quarters (collective dwelling) statusGQ 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.00Vacant10Households20Group quarters (collective), n.s.21Institutions22Other group quarters291-person unit created by splitting large household99Unknown/group quarters not identifiedGroup Quarters Variables -- HOUSEHOLDGroup quarters typeGQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types.
Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings.
Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings.
A more general classification of households between private and group quarters is available in GQ.100Institutional110Prisons, reformatories, or correctional institutions120Hospital, nursing home, hospice, or instutions for persons with disabilities121Institutions for persons with disabilities122Sanatorium or mental institutions130Homes for the elderly or orphanage131Retirement home132Orphanage, children's home140Shelter for homeless, youth, or others150Military or police institution160Boarding school or student housing170Religious institution, monastery, seminary, or convent199Other institutional n.e.c.200Non-institutional210Camps (refugees, workers, or others)220Hotel, pension, lodging, or boarding house230Floating population299Other non-institutional n.e.c.300Other group quarters3991-person unit created by splitting large household998Unknown999NIU (not in universe)Group Quarters Variables -- HOUSEHOLDNumber of unrelated personsUNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE.00112233445566778899+Group Quarters Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLD1st subnational geographic level, world [consistent boundaries over time]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.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.Geography: Global Variables -- HOUSEHOLD2nd subnational geographic level, world [consistent boundaries over time]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.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.Geography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 1, EuropeENUTS1 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.0101AT1 / Ostösterreich0102AT2 / Südösterreich0103AT3 / Westösterreich0601DE1 / Baden-Württemberg0602DE2 / Bayern0603DE3 / Berlin0604DE4 / Brandenburg0605DE5 / Bremen0606DE6 / Hamburg0607DE7 / Hessen0608DE8 / Mecklenburg-Vorpommern0609DE9 / Niedersachsen0610DEA / Nordrhein-Westfalen0611DEB / Rheinland-Pfalz0612DEC / Saarland0613DED / Sachsen0614DEE / Sachsen-Anhalt0615DEF / Schleswig-Holstein0616DEG / Thüringen0901ES1 / Noroeste0902ES2 / Noreste0903ES3 / Comunidad de Madrid0904ES4 / Centro (E)0905ES5 / Este0906ES6 / Sur0907ES7 / Canarias0909ES / Unknown1101FR1 / Île de France1102FR2 / Bassin Parisien1103FR3 / Nord - Pas-de-Calais1104FR4 / Est1105FR5 / Ouest1106FR6 / Sud-Ouest1107FR7 / Centre-Est1108FR8 / Méditerranée1109FR9 / Département d’Outre-Mer1199FR99 / Unknown1201EL1 / Voreia Ellada1202EL2 / Kentriki Ellada1203EL3 / Attiki1204EL4 / Nisia Aigaiou, Kriti1400IE0 / Republic of Ireland1503ITC / Nord-Ovest1506ITF / Sud1507ITG / Isole1508ITH / Nord-Est1509ITI / Centro2101PL1 / Centralny2102PL2 / Południowy2103PL3 / Wschodni2104PL4 / Północno-zachodni2105PL5 / Południowo-zachodni2106PL6 / Północny2201PT1 / Continente2202PT2 / Região Autónoma dos Açores2203PT3 / Região Autónoma da Madeira2301RO1 / Macroregiunea Unu2302RO2 / Macroregiunea Doi2303RO3 / Macroregiunea Trei2304RO4 / Macroregiunea Patru2501SI0 / Slovenia2600SK0 / Slovensko2701UKC / North East (England)2702UKD / North West (England)2703UKE / Yorkshire and the Humber (England)2704UKF / East Midlands (England)2705UKG / West Midlands (England)2706UKH / East of England (England)2707UKI / LONDON (England)2708UKJ / South East (England)2709UKK / South West (England)2710UKL / WALES2711UKM / SCOTLAND2712UKN / NORTHERN IRELAND3400CH0/Switzerland3901TR1 / Istanbul3902TR2 / Bati Marmara3903TR3 / Ege3904TR4 / Dogu Marmara3905TR5 / Bati Anadolu3906TR6 / Akdeniz3907TR7 / Orta Anadolu3908TR8 / Bati Karadeniz3909TR9 / Dogu Karadeniz3911TRA / Kuzeydogu Anadolu3912TRB / Ortadogu Anadolu3913TRC / Güneydogu Anadolu9999UNKNOWNGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 2, EuropeENUTS2 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.0111AT11 / Burgenland0112AT12 / Niederösterreich0113AT13 / Wien0121AT21 / Kärnten0122AT22 / Steiermark0131AT31 / Oberösterreich0132AT32 / Salzburg0133AT33 / Tirol0134AT34 / Vorarlberg0911ES11 / Galicia0912ES12 / Principado de Asturias0913ES13 / Cantabria0921ES21 / País Vasco0922ES22 / Comunidad Foral de Navarra0923ES23 / La Rioja0924ES24 / Aragón0930ES30 / Comunidad de Madrid0941ES41 / Castilla y León0942ES42 / Castilla-La Mancha0943ES43 / Extremadura0951ES51 / Cataluña0952ES52 / Comunidad Valenciana0953ES53 / Illes Balears0961ES61 / Andalucía0962ES62 / Región de Murcia0963ES63 / Ciudad Autónoma de Ceuta0964ES64 / Ciudad Autónoma de Melilla0970ES70 / Canarias0999ES / Unknown1110FR10 / Île de France1121FR21 / Champagne-Ardenne1122FR22 / Picardie1123FR23 / Haute-Normandie1124FR24 / Centre1125FR25 / Basse-Normandie1126FR26 / Bourgogne1130FR30 / Nord-Pas-de-Calais1141FR41 / Lorraine1142FR42 / Alsace1143FR43 / Franche-Comté1151FR51 / Pays de la Loire1152FR52 / Bretagne1153FR53 / Poitou-Charentes1161FR61 / Aquitaine1162FR62 / Midi-Pyrénées1163FR63 / Limousin1171FR71 / Rhône-Alpes1172FR72 / Auvergne1181FR81 / Lanquedoc-Roussillon1182FR82 / Provence-Alpes-Côte d'Azur1183FR83 / Corse1191FR91 / Guadeloupe1192FR92 / Martinique1193FR93 / Guyane1194FR94 / Réunion1199FR99 / Unknown1211EL11 / Anatoliki Makedonia, Thraki1212EL12 / Kentriki Makedonia1213EL13 / Dytiki Makedonia1214EL14 / Thessalia1221EL21 / Ipeiros1222EL22 / Ionia Nisia1223EL23 / Dytiki Ellada1224EL24 / Sterea Ellada1225EL25 / Peloponnisos1230EL30 / Attiki1241EL41 / Voreio Aigaio1242EL42 / Notio Aigaio1243EL43 / Kriti1401IE01 / Border, Midland and Western1402IE02 / Southern and Eastern1531ITC1 / Piemonte + ITC2 / Valle d'Aosta1533ITC3 / Liguria1534ITC4 /Lombardia1561ITF1 / Abruzzo1562ITF2 / Molise1563ITF3 / Campania1564ITF4 / Puglia1565ITF5 / Basilicata1566ITF6 / Calabria1571ITG1 / Sicilia1572ITG2 / Sardegna1581ITH1 / Bolzano-Bozen + ITH2 / Trento1583ITH3 / Veneto1584ITH4 / Friuli-Venezia Giulia1585ITH5 / Emilia-Romagna1591ITI1 / Toscana1592ITI2 / Umbria1593ITI3 / Marche1594ITI4 / Lazio2111PL11 / Łódzkie2112PL12 / Mazowieckie2121PL21 / Małopolskie2122PL22 / Śląskie2131PL31 / Lubelskie2132PL32 / Podkarpackie2133PL33 / Świętokrzyskie2134PL34 / Podlaskie2141PL41 / Wielkopolskie2142PL42 / Zachodniopomorskie2143PL43 / Lubuskie2151PL51 / Dolnośląskie2152PL52 / Opolskie2161PL61 / Kujawsko-Pomorskie2162PL62 / Warmińsko-Mazurskie2163PL63 / Pomorskie2211PT11 / Norte2215PT15 / Algarve2216PT16 / Centro (P)2217PT17 / Lisboa2218PT18 / Alentejo2220PT20 / Região Autónoma dos Açores2230PT30 / Região Autónoma da Madeira2311RO11 / Nord-Vest2312RO12 / Centru2321RO21 / Nord-Est2322RO22 / Sud-Est2331RO31 / Sud - Muntenia2332RO32 / Bucuresti - Ilfov2341RO41 / Sud-Vest Oltenia2342RO42 / Vest2501SI01 / Vzhodna Slovenija2502SI02 / Zahodna Slovenija2599SI / Unknown2601SK01 / Bratislavský kraj2602SK02 / Západné Slovensko2603SK03 / Stredné Slovensko2604SK04 / Východné Slovensko3401CH01 / Région Lémanique3402CH02 / Espace Mittelland3403CH03 / Nordwestschweiz3404CH04 / Zurich3405CH05 / Ostschweiz3406CH06 / Zentralschweiz3407CH07 / Ticino3910TR10 / Istanbul3921TR21 / Tekirdag, Edirne, Kirklareli3922TR22 / Balikesir, Çanakkale3931TR31 / Izmir3932TR32 / Aydin, Denizli, Mugla3933TR33 / Manisa, Afyonkarahisar, Kütahya, Usak3941TR41 / Bursa, Eskisehir, Bilecik3942TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova3951TR51 / Ankara3952TR52 / Konya, Karaman3961TR61 / Antalya, Isparta, Burdur3962TR62 / Adana, Mersin3963TR63 / Hatay, Kahramanmaras, Osmaniye3971TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir3972TR72 / Kayseri, Sivas, Yozgat3981TR81 / Zonguldak, Karabük, Bartin3982TR82 / Kastamonu, Çankiri, Sinop3983TR83 / Samsun, Tokat, Çorum, Amasya3990TR90 / Trabzon3991TRA1 / Erzurum, Erzincan, Bayburt3992TRA2 / Agri, Kars, Igdir, Ardahan3993TRB1 / Malatya, Elazig, Bingöl, Tunceli3994TRB2 / Van, Mus, Bitlis, Hakkari3995TRC1 / Gaziantep, Adiyaman, Kilis3996TRC2 / Sanliurfa, Diyarbakir3997TRC3 / Mardin, Batman, Sirnak, SiirtGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 3, EuropeENUTS3 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.01111AT111 / Mittelburgenland + AT113 / Südburgenland01112AT112 / Nordburgenland01121AT121 / Mostviertel-Eisenwurzen01122AT122 / Niederösterreich-Süd01123AT123 / Sankt Pölten01124AT124 / Waldviertel01125AT125 / Weinviertel01126AT126 / Wiener Umland/Nordteil01127AT127 / Wiener Umland/Südteil01130AT130 / Wien01211AT211 / Klagenfurt-Villach01212AT212 / Oberkärnten01213AT213 / Unterkärnten01221AT221 / Graz01222AT222 / Liezen01223AT223 / Östliche Obersteiermark01224AT224 / Oststeiermark01225AT225 / West- und Südsteiermark01226AT226 / Westliche Obersteiermark01311AT311 / Innviertel01312AT312 / Linz-Wels01313AT313 / Mühlviertel01314AT314 / Steyr-Kirchdorf01315AT315 / Traunviertel01321AT321 / Lungau + AT322 / Pinzgau-Pongau01323AT323 / Salzburg und Umgebung01331AT331 / Außerfern + AT334 / Tiroler Oberland01332AT332 / Innsbruck01333AT333 / Osttirol + AT335 / Tiroler Unterland01341AT341 / Bludenz-Bregenzer Wald01342AT342 / Rheintal-Bodenseegebiet09111ES111 / A Coruña09112ES112 / Lugo09113ES113 / Ourense09114ES114 / Pontevedra09120ES120 / Asturias09130ES130 / Cantabria09211ES211 / Álava09212ES212 / Guipúzcoa09213ES213 / Vizcaya09220ES220 / Navarra09230ES230 / La Rioja09241ES241 / Huesca09242ES242 / Teruel09243ES243 / Zaragoza09300ES300 / Madrid09411ES411 / Ávila09412ES412 / Burgos09413ES413 / León09414ES414 / Palencia09415ES415 / Salamanca09416ES416 / Segovia09417ES417 / Soria09418ES418 / Valladolid09419ES419 / Zamora09421ES421 / Albacete09422ES422 / Ciudad Real09423ES423 / Cuenca09424ES424 / Guadalajara09425ES425 / Toledo09431ES431 / Badajoz09432ES432 / Cáceres09511ES511 / Barcelona09512ES512 / Girona09513ES513 / Lleida09514ES514 / Tarragona09521ES521 / Alicante/Alacant09522ES522 / Castellón/Castelló09523ES523 / Valencia/València09532ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera09611ES611 / Almería09612ES612 / Cádiz09613ES613 / Córdoba09614ES614 / Granada09615ES615 / Huelva09616ES616 / Jaén09617ES617 / Málaga09618ES618 / Sevilla09620ES620 / Murcia09630ES630 / Ceuta09640ES640 / Melilla09705ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote09709ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro09999ES / Unknown12111EL111 / Evros12112EL112 / Xanthi12113EL113 / Rodopi12114EL114 / Drama12115EL115 / Kavala12121EL121 / Imathia12122EL122 / Thessaloniki12123EL123 / Kilkis12124EL124 / Pella12125EL125 / Pieria12126EL126 / Serres12127EL127 / Chalkidiki and Aghion Oros12131EL131 / Grevena12132EL132 / Kastoria12133EL133 / Kozani12134EL134 / Florina12141EL141 / Karditsa12142EL142 / Larisa12143EL143 / Magnisia12144EL144 / Trikala12211EL211 / Arta12212EL212 / Thesprotia12213EL213 / Ioannina12214EL214 / Preveza12221EL221 / Zakynthos12222EL222 / Kerkyra12223EL223 / Kefallinia12224EL224 / Lefkada12231EL231 / Aitoloakarnania12232EL232 / Achaia12233EL233 / Ilia12241EL241 / Voiotia12242EL242 / Evvoia12243EL243 / Evrytania12244EL244 / Fthiotida12245EL245 / Fokida12251EL251 / Argolida12252EL252 / Arkadia12253EL253 / Korinthia12254EL254 / Lakonia12255EL255 / Messinia12300EL300 / Attiki12411EL411 / Lesvos12412EL412 / Samos12413EL413 / Chios12421EL421 / Dodekanissos12422EL422 / Kyklades12431EL431 / Iraklio12432EL432 / Lasithi12433EL433 / Rethymni12434EL434 / Chania14011IE011 / Border14012IE012 / Midlands14013IE013 / West14021IE021 / Dublin14022IE022 / Mid-East14023IE023 / Mid-West14024IE024 / South-East14025IE025 / South-West15311ITC11 / Torino15312ITC12 / Vercelli15313ITC13 / Biella15314ITC14 / Verbano-Cusio-Ossola15315ITC15 / Novara15316ITC16 / Cuneo15317ITC17 / Asti15318ITC18 / Alessandria15320ITC20 / Aosta15331ITC31 / Imperia15332ITC32 / Savona15333ITC33 / Genova15334ITC34 / La Spezia15341ITC41 / Varese15342ITC42 / Como15343ITC43 / Lecco15344ITC44 / Sondrio15346ITC46 / Bergamo15347ITC47 / Brescia15348ITC48 / Pavia15349ITC49 / Lodi15350ITC4A / Cremona15351ITC4B / Mantova15352ITC4C / Milano15353ITC4D / Monza e della Brianza15611ITF11 / L'Aquila15612ITF12 / Teramo15613ITF13 / Pescara15614ITF14 / Chieti15621ITF21 / Isernia15622ITF22 / Campobasso15631ITF31 / Caserta15632ITF32 / Benevento15633ITF33 / Napoli15634ITF34 / Avellino15635ITF35 / Salerno15643ITF43 / Taranto15644ITF44 / Brindisi15645ITF45 / Lecce15646ITF46 / Foggia15647ITF47 / Bari15648ITF48 / Barletta-Andria-Trani15651ITF51 / Potenza15652ITF52 / Matera15661ITF61 / Cosenza15662ITF62 / Crotone15663ITF63 / Catanzaro15664ITF64 / Vibo Valentia15665ITF65 / Reggio di Calabria15711ITG11 / Trapani15712ITG12 / Palermo15713ITG13 / Messina15714ITG14 / Agrigento15715ITG15 / Caltanissetta15716ITG16 / Enna15717ITG17 / Catania15718ITG18 / Ragusa15719ITG19 / Siracusa15733Sud Sardegna15725ITG25 / Sassari15726ITG26 / Nuoro15727ITG27 / Cagliari15728ITG28 / Oristano15729ITG29 / Olbia-tempio15730ITG2A / Ogliastra15731ITG2B / Medio-campidano15732ITG2C / Carbonia-Iglesias15810ITH10 / Bolzano-Bozen15820ITH20 / Trento15831ITH31 / Verona15832ITH32 / Vicenza15833ITH33 / Belluno15834ITH34 / Treviso15835ITH35 / Venezia15836ITH36 / Padova15837ITH37 / Rovigo15841ITH41 / Pordenone15842ITH42 / Udine15843ITH43 / Gorizia15844ITH44 / Trieste15851ITH51 / Piacenza15852ITH52 / Parma15853ITH53 / Reggio nell'Emilia15854ITH54 / Modena15855ITH55 / Bologna15856ITH56 / Ferrara15857ITH57 / Ravenna15858ITH58 / Forlì-Cesena15859ITH59 / Rimini15911ITI11 / Massa-Carrara15912ITI12 / Lucca15913ITI13 / Pistoia15914ITI14 / Firenze15915ITI15 / Prato15916ITI16 / Livorno15917ITI17 / Pisa15918ITI18 / Arezzo15919ITI19 / Siena15920ITI1A / ELosseto15921ITI21 / Perugia15922ITI22 / Terni15931ITI31 / Pesaro e Urbino15932ITI32 / Ancona15933ITI33 / Macerata15934ITI34 / Ascoli Piceno15935ITI35 / Fermo15941ITI41 / Viterbo15942ITI42 / Rieti15943ITI43 / Roma15944ITI44 / Latina15945ITI45 / Frosinone22111PT111 / Minho-Lima22112PT112 / Cávado22113PT113 / Ave22114PT114 / ELande Porto22115PT115 / Tâmega22116PT116 / Entre Douro e Vouga22117PT117 / Douro22118PT118 / Alto Trás-os-Montes22150PT150 / Algarve22161PT161 / Baixo Vouga22162PT162 / Baixo Mondego22163PT163 / Pinhal Litoral22165PT165 / Dão-Lafões22166PT16B / Oeste22167PT16C / Médio Tejo22169PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira22171PT171 / Grande Lisboa22172PT172 / Península de Setúbal22185PT185 / Lezíria do Tejo22189PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo22200PT200 / Região Autónoma dos Açores22300PT300 / Região Autónoma da Madeira23111RO111 / Bihor23112RO112 / Bistrita Nasaud23113RO113 / Cluj23114RO114 / Maramures23115RO115 / Satu Mare23116RO116 / Salaj23121RO121 / Alba23122RO122 / Brasov23123RO123 / Covasna23124RO124 / Harghita23125RO125 / Mures23126RO126 / Sibiu23211RO211 / Bacau23212RO212 / Botosani23213RO213 / Iasi23214RO214 / Neamt23215RO215 / Suceava23216RO216 / Vaslui23221RO221 / Braila23222RO222 / Buzau23223RO223 / Constanta23224RO224 / Galati23225RO225 / Tulcea23226RO226 / Vrancea23311RO311 / Arges23312RO312 / Calarasi23313RO313 / Dimbovita23314RO314 / Giurgiu23315RO315 / Ialomita23316RO316 / Prahova23317RO317 / Teleorman23321RO321 / Bucuresti23322RO322 / Ilfov23411RO411 / Dolj23412RO412 / Gorj23413RO413 / Mehedinti23414RO414 / Olt23415RO415 / Valcea23421RO421 / Arad23422RO422 / Caras Severin23423RO423 / Hunedoara23424RO424 / Timis25011SI011 / Pomurska25012SI012 / Podravska25013SI013 / Koroka25014SI014 / Savinjska25015SI015 / Zasavska25016SI016 / Spodnjeposavska25017SI017 / Jugovzhodna Slovenija25018SI018 / Notranjsko-kraka25021SI021 / Osrednjeslovenska25022SI022 / Gorenjska25023SI023 / Gorika25024SI024 / Obalno-kraka25999SI / Unknown26010SK010 / Bratislavský kraj26021SK021 / Trnavský kraj26022SK022 / Trenčiansky kraj26023SK023 / Nitriansky kraj26031SK031 / Žilinský kraj26032SK032 / Banskobystrický kraj26041SK041 / Prešovský kraj26042SK042 / Košický kraj34011CH011 / Vaud34012CH012 / Valais34013CH013 / Geneva34021CH021 / Bern34022CH022 / Freiburg34023CH023 / Solothurn34024CH024 / Neuchatel34025CH025 / Jura34031CH031 / Basel-Stadt34032CH032 / Basel-Landschaft34033CH033 / Aargau34040CH040 / Zurich34051CH051 / Glarus34052CH052 / Schaffhausen34053CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden34055CH055 / St. Gallen34056CH056 / Graubundun34057CH057 / Thurgau34061CH061 / Luzern34062CH062 / Uri34063CH063 / Schwyz34064CH064 / Obwalden34065CH065 / Nidwalden34066CH066 / Zug34070CH070 / Ticino39100TR100 / Istanbul39211TR211 / Tekirdag39212TR212 / Edirne39213TR213 / Kirklareli39221TR221 / Balikesir39222TR222 / Çanakkale39310TR310 / Izmir39321TR321 / Aydin39322TR322 / Denizli39323TR323 / Mugla39331TR331 / Manisa39332TR332 / Afyon39333TR333 / Kütahya39334TR334 / Usak39411TR411 / Bursa39412TR412 / Eskisehir39413TR413 / Bilecik39421TR421 / Kocaeli39422TR422 / Sakarya39423TR423 / Düzce39424TR424 / Bolu39425TR425 / Yalova39510TR510 / Ankara39521TR521 / Konya39522TR522 / Karaman39611TR611 / Antalya39612TR612 / Isparta39613TR613 / Burdur39621TR621 / Adana39622TR622 / Içel (Mersin)39631TR631 / Hatay39632TR632 / Kahramanmaras39633TR633 / Osmaniye39711TR711 / Kirikkale39712TR712 / Aksaray39713TR713 / Nigde39714TR714 / Nevsehir39715TR715 / Kirsehir39721TR721 / Kayseri39722TR722 / Sivas39723TR723 / Yozgat39811TR811 / Zonguldak39812TR812 / Karabük39813TR813 / Bartin39821TR821 / Kastamonu39822TR822 / Çankiri39823TR823 / Sinop39831TR831 / Samsun39832TR832 / Tokat39833TR833 / Çorum39834TR834 / Amasya39901TR901 / Trabzon39902TR902 / Ordu39903TR903 / Giresun39904TR904 / Rize39905TR905 / Artvin39906TR906 / Gümüshane39910TRA11 / Erzurum39911TRA12 / Erzincan39912TRA13 / Bayburt39921TRA21 / Agri39922TRA22 / Kars39923TRA23 / Igdir39924TRA24 / Ardahan39931TRB11 / Malatya39932TRB12 / Elazig39933TRB13 / Bingöl39934TRB14 / Tunceli39941TRB21 / Van39942TRB22 / Mus39943TRB23 / Bitlis39944TRB24 / Hakkari39951TRC11 / Gaziantep39952TRC12 / Adiyaman39953TRC13 / Kilis39961TRC21 / Sanliurfa39962TRC22 / Diyarbakir39971TRC31 / Mardin39972TRC32 / Batman39973TRC33 / Sirnak39974TRC34 / SiirtGeography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV1 unit, in persons per square kilometerPOPDENSGEO1 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.POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer.Geography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV2 unit, in persons per square kilometerPOPDENSGEO2 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.POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer.Geography: Global Variables -- HOUSEHOLDArea of GEOLEV1 unit in square kilometersAREAMOLLWGEO1 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.AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers.Geography: Global Variables -- HOUSEHOLDArea of GEOLEV2 unit in square kilometersAREAMOLLWGEO2 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.AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers.Geography: Global Variables -- HOUSEHOLDSpain, Communities and Autonomous Cities 1981 - 2018 [Level 1; consistent boundaries, GIS]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.724011Galicia724012Principado de Asturias724013Cantabria724021País Vasco724022Comunidad Foral de Navarra724023La Rioja724024Aragón724030Comunidad de Madrid724041Castilla y León724042Castilla-La Mancha724043Extremadura724051Cataluña724052Comunidad Valenciana724053Islas Baleares724061Andalucía724062Región de Murcia724063Ciudad Autónoma de Ceuta724064Ciudad Autónoma de Melilla724070Canarias724099UnknownGeography: O-Z Variables -- HOUSEHOLDSpain, Communities and Autonomous Cities 2001 [Level 1, GIS]GEO1_ES2001 identifies the household's communities and autonomous cities in 2001. Communities and autonomous cities are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ES2001 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.011Galicia012Principado de Asturias013Cantabria021País Vasco022Comunidad Foral de Navarra023La Rioja024Aragón030Comunidad de Madrid041Castilla y León042Castilla-La Mancha043Extremadura051Cataluña052Comunidad Valenciana053Islas Baleares061Andalucía062Región de Murcia063Ciudad Autónoma de Ceuta064Ciudad Autónoma de Melilla070CanariasGeography: O-Z Variables -- HOUSEHOLDSpain, Province 1981 - 2018 [Level 2; consistent boundaries,GIS]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.724011015A Coruña724011027Lugo724011032Ourense724011036Pontevedra724012033Asturias724013039Cantabria724021001Álava724021020Guipúzcoa724021048Vizcaya724022031Navarra724023026La Rioja724024022Huesca724024044Teruel724024050Zaragoza724030028Madrid724041005Ávila724041009Burgos724041024León724041034Palencia724041037Salamanca724041040Segovia724041042Soria724041047Valladolid724041049Zamora724042002Albacete724042013Ciudad Real724042016Cuenca724042019Guadalajara724042045Toledo724043006Badajoz724043010Cáceres724051008Barcelona724051017Girona724051025Lleida724051043Tarragona724052003Alicante/Alacant724052012Castellón/Castelló724052046Valencia/València724053007Islas Baleares724061004Almería724061011Cádiz724061014Córdoba724061018Granada724061021Huelva724061023Jaén724061029Málaga724061041Sevilla724062030Murcia724063051Ceuta724064052Melilla724070035Las Palmas724070038Santa Cruz de Tenerife724099999UnknownGeography: O-Z Variables -- HOUSEHOLDSpain, Province 2001 [Level 2, GIS]GEO2_ ES2001 identifies the household’s province within Spain in 2001. Provinces are the second level administrative units of the country, after communities and autonomous cities. A GIS map (in shapefile format), corresponding to GEO2_ ES2001can 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.011015Coruña (A)011027Lugo011032Ourense011036Pontevedra012033Asturias013039Cantabria021001Álava021020Guipúzcoa021048Vizcaya022031Navarra023026La Rioja024022Huesca024044Teruel024050Zaragoza030028Madrid041005Ávila041009Burgos041024León041034Palencia041037Salamanca041040Segovia041042Soria041047Valladolid041049Zamora042002Albacete042013Ciudad Real042016Cuenca042019Guadalajara042045Toledo043006Badajoz043010Cáceres051008Barcelona051017Girona051025Lleida051043Tarragona052003Alicante/Alacant052012Castellón/Castelló052046Valencia/València053007Balears (Illes)061004Almería061011Cádiz061014Córdoba061018Granada061021Huelva061023Jaén061029Málaga061041Sevilla062030Murcia063051Ceuta064052Melilla070035Las Palmas070038Santa Cruz de TenerifeGeography: O-Z Variables -- HOUSEHOLDSpain, Municipality 1981 - 2011 [Level 3; inconsistent boundaries, harmonized by name]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.01036Llodio01059Vitoria-Gasteiz01999Other municipalities in Álava province02003Albacete02037Hellín02999Other municipalities in Albacete province03009Alcoy/Alcoi03014Alicante/Alacant03031Benidorm03063Dénia03065Elche/Elx03066Elda03099Orihuela03104Petrer03122San Vicente del Raspeig/Sant Vicent del Raspeig03133Torrevieja03140Villena03999Other municipalities in Alicante/Alacant province04013Almería04079Roquetas de Mar04902Ejido (El)04999Other municipalities in Almería province05019Ávila05999Other municipalities in Ávila province06011Almendralejo06015Badajoz06044Don Benito06083Mérida06999Other municipalities in Badajoz province07011Calvi07026Eivissa07031Llucmajor07033Manacor07036Marratxí07040Palma de Mallorca07999Other municipalities in Balears (Illes) province08015Badalona08019Barcelona08056Castelldefels08073Cornell de Llobregat08077Esplugues de Llobregat08089Gav08096Granollers08101Hospitalet de Llobregat (L)08102Igualada08113Manresa08121Mataró08124Mollet del Vallès08169Prat de Llobregat (El)08180Ripollet08184Rubí08187Sabadell08194Sant Adri de Besòs08200Sant Boi de Llobregat08205Sant Cugat del Vallès08211Sant Feliu de Llobregat08217Sant Joan Despí08245Santa Coloma de Gramenet08252Barber del Vallès08263Sant Vicenç dels Horts08266Cerdanyola del Vallès08279Terrassa08298Vic08301Viladecans08305Vilafranca del Penedès08307Vilanova i la Geltrú08999Other municipalities in Barcelona province09018Aranda de Duero09059Burgos09219Miranda de Ebro09999Municipalities under 20,000 in Burgos province10037Cáceres10148Plasencia10999Municipalities under 20,000 in Cáceres province11004Algeciras11006Arcos de la Frontera11012Cádiz11015Chiclana de la Frontera11020Jerez de la Frontera11022Línea de la Concepción (La)11027Puerto de Santa María (El)11028Puerto Real11031San Fernando11032Sanlúcar de Barrameda11999Other municipalities in Cádiz province12032Burriana12040Castellón de la Plana/Castelló de la Plana12126Vall dUixó (la)12135Villarreal/Vila-real12999Other municipalities in Castellón/Castelló province13005Alcázar de San Juan13034Ciudad Real13071Puertollano13082Tomelloso13087Valdepeñas13999Other municipalities in Ciudad Real province14021Córdoba14038Lucena14056Puente Genil14999Other municipalities in Córdoba province15005Arteixo15019Carballo15030Coruña (A)15031Culleredo15036Ferrol15054Narón15058Oleiros15078Santiago de Compostela15999Other municipalities in Coruña (A) province16078Cuenca16999Other municipalities in Cuenca province17023Blanes17066Figueres17079Girona17114Olot17999Other municipalities in Girona province18087Granada18089Guadix18140Motril18999Other municipalities in Granada province19046Azuqueca de Henares19130Guadalajara19999Other municipalities in Guadalajara province20045Irun20067Errenteria20069Donostia-San Sebastián20999Other municipalities in Guipúzcoa province21041Huelva21999Other municipalities in Huelva province22125Huesca22999Other municipalities in Huesca province23005Andújar23050Jaén23055Linares23092Úbeda23999Other municipalities in Jaén province24089León24115Ponferrada24142San Andrés del Rabanedo24999Other municipalities in León province25120Lleida25999Other municipalities in Lleida province26089Logroño26999Other municipalities in Rioja (La) province27028Lugo27031Monforte de Lemos27999Other municipalities in Lugo province28005Alcalá de Henares28006Alcobendas28007Alcorcón28013Aranjuez28014Arganda del Rey28022Boadilla del Monte28045Colmenar Viejo28047Collado Villalba28049Coslada28058Fuenlabrada28061Galapagar28065Getafe28074Leganés28079Madrid28080Majadahonda28092Móstoles28106Parla28113Pinto28115Pozuelo de Alarcón28123Rivas-Vaciamadrid28127Rozas de Madrid (Las)28130San Fernando de Henares28134San Sebastián de los Reyes28148Torrejón de Ardoz28161Valdemoro28903Tres Cantos28999Other municipalities in Madrid province29007Alhaurín de la Torre29015Antequera29025Benalmádena29051Estepona29054Fuengirola29067Málaga29069Marbella29070Mijas29082Rincón de la Victoria29084Ronda29094Vélez-Málaga29901Torremolinos29999Other municipalities in Málaga province30005Alcantarilla30016Cartagena30019Cieza30024Lorca30027Molina de Segura30030Murcia30037Torre-Pacheco30039Totana30043Yecla30999Other municipalities in Murcia province31201Pamplona/Iruña31232Tudela31999Other municipalities in Navarra province32054Ourense32999Other municipalities in Ourense province33004Avilés33024Gijón33031Langreo33037Mieres33044Oviedo33060San Martín del Rey Aurelio33066Siero33999Other municipalities in Asturias province34120Palencia34999Other municipalities in Palencia province35004Arrecife35006Arucas35016Palmas de Gran Canaria (Las)35019San Bartolomé de Tirajana35022Santa Lucía de Tirajana35026Telde35999Other municipalities in Palmas (Las) province36038Pontevedra36045Redondela36057Vigo36060Vilagarcía de Arousa36999Other municipalities in Pontevedra province37274Salamanca37999Other municipalities in Salamanca province38006Arona38023San Cristóbal de La Laguna38026Orotava (La)38031Realejos (Los)38038Santa Cruz de Tenerife38999Other municipalities in Santa Cruz de Tenerife province39016Camargo39075Santander39087Torrelavega39999Other municipalities in Cantabria province40194Segovia40999Other municipalities in Segovia province41004Alcalá de Guadaira41024Carmona41038Dos Hermanas41039Écija41059Mairena del Aljarafe41069Palacios y Villafranca (Los)41081Rinconada (La)41091Sevilla41095Utrera41999Other municipalities in Sevilla province42173Soria42999Other municipalities in Soria province43123Reus43148Tarragona43155Tortosa43999Other municipalities in Tarragona province44216Teruel44999Other municipalities in Teruel province45165Talavera de la Reina45168Toledo45999Other municipalities in Toledo province46017Alzira46078Burjassot46110Xirivella46131Gandia46145X tiva46169Mislata46184Ontinyent46190Paterna46220Sagunto/Sagunt46244Torrent46250Valencia46999Other municipalities in Valencia/València province47186Valladolid47999Other municipalities in Valladolid province48013Barakaldo48015Basauri48020Bilbao48027Durango48036Galdakao48044Getxo48054Leioa48078Portugalete48082Santurtzi48084Sestao48999Other municipalities in Vizcaya province49275Zamora49999Other municipalities in Zamora province50297Zaragoza50999Other municipalities in Zaragoza province51001Ceuta52001Melilla99999UnknownGeography: O-Z Variables -- HOUSEHOLDOwnership of dwelling [general version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.0NIU (not in universe)1Owned2Not owned9UnknownHousehold Economic Variables -- HOUSEHOLDOwnership of dwelling [detailed version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.000NIU (not in universe)100Owned110Owned, already paid120Owned, still paying130Owned, constructed140Owned, inherited190Owned, other191Owned, house192Owned, condominium193Apartment proprietor194Shared ownership200Not owned210Renting, not specified211Renting, government212Renting, local authority213Renting, parastatal214Renting, private215Renting, private company216Renting, individual217Renting, collective218Renting, joint state and individual219Renting, public subsidized220Renting, private subsidized221Renting, co-tenant222Renting, relative of tenant223Renting, cooperative224Renting, with a job or business225Renting, loan-backed habitation226Renting, mixed contract227Furnished dwelling228Sharecropping230Subletting231Rent to own239Renting, other240Occupied de facto/squatting250Free/usufruct (no cash rent)251Free, provided by employer252Free, without work or services253Free, provided by family or friend254Free, private255Free, public256Free, condemned257Free, other260Endowment, Waqf (Egypt historical)290Not owned, other999UnknownHousehold Economic Variables -- HOUSEHOLDWater supplyWATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.00NIU (not in universe)10Yes, piped water11Piped inside dwelling12Piped, exclusively to this household13Piped, shared with other households14Piped outside the dwelling15Piped outside dwelling, in building16Piped within the building or plot of land17Piped outside the building or lot18Have access to public piped water20No piped water99UnknownUtilities Variables -- HOUSEHOLDSewageSEWAGE indicates whether the household has access to a sewage system or septic tank.00NIU (not in universe)10Connected to sewage system or septic tank11Sewage system (public sewage disposal)12Septic tank (private sewage disposal)20Not connected to sewage disposal system99UnknownUtilities Variables -- HOUSEHOLDFuel for heatingFUELHEAT indicates the main fuel source for heating the household.00NIU (not in universe)01None02Electricity03Fuel oil, kerosene, other liquid fuels04Kerosene/paraffin05Diesel06Gas07Bottled gas, in tank, liquified08Solid fuel09Coal10Wood11Wood or coal12Solar13Animal dung14Charcoal15Biofuel16Other17Multiple sources99UnknownUtilities Variables -- HOUSEHOLDTelephone availabilityPHONE indicates the availability of a telephone in the dwelling.0NIU (not in universe)1No2Yes9Unknown/missingUtilities Variables -- HOUSEHOLDAutomobiles availableAUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.0No autos11 auto22 autos33 autos44 autos55 autos66+ autos7Have auto, number unspecified8Unknown9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDHot water heaterHOTWATER indicates whether the housing unit had a water heater.0NIU (not in universe)1No2Yes9Unknown/missingAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDCentral heatingHEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none.0NIU (not in universe)1No heating2Central heating, not specified3Collective central heating4Individual central heating5Other heating, not central6Heating, unspecified7No central heating/heating unknown9UnknownAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDAir conditioningThis variable indicates whether the household had air conditioning.00NIU (not in universe)10No air conditioning20Yes, air conditioning211 unit or room222 units or rooms233 units or rooms244 units or rooms255 units or rooms266 units or rooms277 units or rooms288 or more units or rooms29Central system99UnknownAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNumber of roomsROOMS indicates the number of rooms occupied by the housing unit.00Part of a room; no rooms011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDYear structure was builtBUILTYR indicates the year in which construction was completed on the building in which the household resides.0000NIU (not in universe)18701870 or earlier1871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209998Under construction9999UnknownDwelling Characteristics Variables -- HOUSEHOLDAge of structureAGESTRUCT1 reports the estimated age of the structure in which the household resided.000Less than 1 year old0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140141141142142143143144144145145146146147147148148149149150150151151152152153153154154155155156156157157158158159159160160161161162162163163164164165165166166167167168168169169170170171171172172173173174174175175176176177177178178179179180180181181182182183183184184185185186186187187188188189189190190191191192192193193194194195195196196197197198198199199200200+997Under construction998Unknown999NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDAge of structure, coded from intervalsAGESTRUCT2 gives the estimated age of the structure.000Less than 1 year old0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140141141142142143143144144145145146146147147148148149149150150151151152152153153154154155155156156157157158158159159160160161161162162163163164164165165166166167167168168169169170170171171172172173173174174175175176176177177178178179179180180181181182182183183184184185185186186187187188188189189190190191191192192193193194194195195196196197197198198199199200200+997Under construction998Unknown999NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDStories in structureSTORIES indicates the number of floors or levels in the building containing the responding housing unit.00NIU (not in universe)011 story022 stories033 stories044 stories055 stories066 stories077 stories088 stories099 stories1010 stories1111 stories1212 stories1313 stories1414 stories1515 stories1616 stories1717 stories1818 stories1919 stories2020 stories2121 stories2222 stories2323 stories2424 stories2525+ stories99UnknownDwelling Characteristics Variables -- HOUSEHOLDLiving area in square metersLIVEAREA describes the total living area in the dwelling inhabited by the household.LIVEAREA is a 3-digit numeric variable.
Codes000 = NIU (not in universe)
999 = Unknown
Top codes:Unless otherwise specified: 998+
Austria 1991-2001: 150+
Belarus 1999: 201+
Belarus 2009: 250+
Germany 1987: 361+
Hungary 2001: 260+
Hungary 2011: 301+
Iran 2006: 501+
Italy 2001: 150+
Italy 2011: 145+
Laos 2005: 200+
Philippines 1990-2010: 200+
Poland 2002: 200+
Romania 2002: 221+
Romania 2011: 500+
Slovenia 2002: 101+
Spain 1991: 181+
Spain 2001-2011: 900+
Switzerland 1980-1990: 400+
Switzerland 2000: 500+Dwelling Characteristics Variables -- HOUSEHOLDHousehold classificationHHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.00Vacant household01One-person household02Married/cohab couple, no children03Married/cohab couple with children04Single-parent family05Polygamous family06Extended family, relatives only07Composite household, family and non-relatives08Non-family household09Unclassified subfamily10Other relative or non-relative household11Group quarters99UnclassifiableConstructed Household Variables -- HOUSEHOLDNumber of families in householdNFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.0Vacant household11 family22 families33 families44 families55 families66 families77 families88 families99 or more familiesConstructed Household Variables -- HOUSEHOLDNumber of married couples in householdNCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).0No married couples in household11 couple22 couples33 couples44 couples55 couples66 couples77 couples88 couples99 or more couplesConstructed Household Variables -- HOUSEHOLDNumber of mothers in householdNMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).0No mothers in household11 mother22 mothers33 mothers44 mothers55 mothers66 mothers77 mothers88 mothers99 or more mothers in householdConstructed Household Variables -- HOUSEHOLDNumber of fathers in householdNFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).0No fathers in household11 father22 fathers33 fathers44 fathers55 fathers66 fathers77 fathers88 fathers99 or more fathers in householdConstructed Household Variables -- HOUSEHOLDHead's location in householdHEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households.HEADLOC is a 3-digit numeric variable.Constructed Household Variables -- HOUSEHOLDDwelling numberSpain 2001: All householdsThis variable indicates the dwelling number.This is a 6-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdSpain 2001: All householdsThis variable indicates the number of persons in household.011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030Constructed Household Variables -- HOUSEHOLDDwelling created by splitting apart a large dwelling or householdSpain 2001: All householdsThis variable indicates dwelling created by splitting apart a large dwelling or household.0No problem1Yes: households within a large dwelling were split apart into separate dwellings2Yes: persons within a large household were split apart into separate dwellingsTechnical Household Variables -- HOUSEHOLDDwelling, housing, or collectiveSpain 2001: All householdsThis variable indicates whether the dwelling is private, collective, or a lodging place.1Private dwellings2Collective dwellings3LodgingGroup Quarters Variables -- HOUSEHOLDType of dwellingSpain 2001: All householdsThis variable indicates the type of dwelling (private, collective, etc.)1Conventional2Collective dwellings and lodgingGroup Quarters Variables -- HOUSEHOLDType of collectiveSpain 2001: Collective households [discrepancies: none]This variable indicates the class of collective dwelling.01Hotels, pensions, other temporary housing (shelters)02University housing, student housing03Workers' housing04Boarding schools, military academies and schools, religious seminaries05General hospitals and specialized short-term hospitals06Psychiatric hospitals07Hospitals for long-term care08Nursing homes and other residences for the elderly09Institutions for persons with disabilities10Shelters for socially isolated persons11Other social assistance institutions for children, youths.12Religious institutions (monasteries, abbeys)13Military institutions (barracks, . . . .)14Penitentiary institutions (prisons, reformatories, . . . .)15Other type of collective residence99NIU (not in universe)Group Quarters Variables -- HOUSEHOLDYear of arrival to the dwelling<svar a="all" v="ES01A029"><span class="em">1. Since what year have you lived in this housing unit?</span><br />If not all residents arrived in the same year, write the year for the one who moved in first.<br /><div class="i1">Since _ _ _ _</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates the year of arrival to the dwelling.189918991900190019011901190219021903190319041904190519051906190619071907190819081909190919101910191119111912191219131913191419141915191519161916191719171918191819191919192019201921192119221922192319231924192419251925192619261927192719281928192919291930193019311931193219321933193319341934193519351936193619371937193819381939193919401940194119411942194219431943194419441945194519461946194719471948194819491949195019501951195119521952195319531954195419551955195619561957195719581958195919591960196019611961196219621963196319641964196519651966196619671967196819681969196919701970197119711972197219731973197419741975197519761976197719771978197819791979198019801981198119821982198319831984198419851985198619861987198719881988198919891990199019911991199219921993199319941994199519951996199619971997199819981999199920002000200120019999NIU (not in universe)Other Household Variables -- HOUSEHOLDForm of ownership<svar a="all" v="ES01A029"><span class="em">2. Form of occupancy</span><br /><div class="i1">[] Owned through purchase, totally paid for <br />[] Owned through purchase, mortgaged<br />[] Owned through inheritance or donation<br />[] Rented<br />[] Provided for free or at minimal cost by another owner, business, or organization<br />[] Some other arrangement</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates the dwelling's form of ownership.1Owned through purchase, totally paid for2Owned through purchase, with payments remaining (mortgage, . . .)3Owned through inheritance or donation4Rented5Provided free or at low cost by another household, business, etc.6Other form9NIU (not in universe)Household Economic Variables -- HOUSEHOLDExterior noises<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling faces exterior noises.1With exterior noises2Without exterior noises9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDPollution<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling faces pollution.1Yes2No9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDLack of cleanliness in the streets<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling is located in an area with poor cleanliness in the streets.1Yes2No9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDPoor communications<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling had poor communications.1Yes2No9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDFew green areas<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling has access to few green areas.1Yes2No9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDDelinquency in the area<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling is located in a "delinquency area."1Yes2No9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDLack of sanitary service<svar a="all" v="ES01A031 ES01A032 ES01A033 ES01A034 ES01A035 ES01A036 ES01A037"><span class="em">3. Does your housing have any of the following problems?</span><br /><div class="i1">Yes/ No<br />[] / [] Excessive exterior noise<br />[] / [] Contamination or bad smells caused by industry, traffic, etc.<br />[] / [] Poor street sanitation<br />[] / [] Poor communication services [as in poor telephone service or television reception]<br />[] / [] Few green areas (parks, gardens, etc.)<br />[] / [] Delinquency or vandalism in the neighborhood<br />[] / [] Lack of sanitary facilities (toilet, bathtub, or shower) inside the housing unit</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates if the dwelling lacks basic sanitary service (toilet, bathtub, or shower).1Yes2No9NIU (not in universe)Utilities Variables -- HOUSEHOLDAir conditioning<svar a="all" v="ES01A038 ES01A039"><span class="em">4. Services or amenities in the housing unit</span><br /><div class="i1">Air conditioning (central air conditioning, or mobile appliances, not fans) [] Yes [] No<br /><br />Heating system<br />[] Yes, central heating in the building<br />[] Yes, heating system in the housing unit<br />[] No, there is no heating system, but there is an appliance that heats one of the rooms (for example: electric radiators)<br />[] No, there is no heat (skip to question 6)</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates the availability of air conditioning in the dwelling.1Has air conditioning2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDHeat<svar a="all" v="ES01A038 ES01A039"><span class="em">4. Services or amenities in the housing unit</span><br /><div class="i1">Air conditioning (central air conditioning, or mobile appliances, not fans) [] Yes [] No<br /><br />Heating system<br />[] Yes, central heating in the building<br />[] Yes, heating system in the housing unit<br />[] No, there is no heating system, but there is an appliance that heats one of the rooms (for example: electric radiators)<br />[] No, there is no heat (skip to question 6)</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates the availability of a heating system in the dwelling.1With collective heating system2With individual heating system3Without heating system, but with appliances that allow the members of the dwelling to warm one or more rooms4No heating methods9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDHeating fuel<svar a="all" v="ES01A040"><span class="em">5. Fuel used for heating</span><br /><div class="i1">[] Gas (butane, propane, natural gas, etc.)<br />[] Electricity<br />[] Petroleum or its derivatives (gas oil, fuel oil, gasoline, etc.)<br />[] Wood<br />[] Coal or its derivatives<br />[] Other</div><br /></svar>Spain 2001: Households with a heating method and not in collective residence [discrepancies: none]This variable indicates the fuel used to heat the dwelling.1Gas2Electricity3Petroleum or derivative4Wood5Coal or derivative6Other9NIU (not in universe)Utilities Variables -- HOUSEHOLDNumber of floors of the dwellingSpain 2001: All householdsThis variable indicates the number of floors of the dwelling.0110220330440550660770880991010+99UnknownDwelling Characteristics Variables -- HOUSEHOLDNumber of rooms<svar a="all" v="ES01A042"><span class="em">6. How many rooms are in the housing unit?</span><br />In addition to the bedrooms, include rooms that measure 4 or more square meters, including the kitchen.<br />Do not include bathrooms, vestibules, corridors, or open terraces.<br /><div class="i1">_ _ Rooms</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates the number of rooms in the dwelling.01102203304405506607708809910101111121213131414151516161717181819192020+99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDUseable floor space<svar a="all" v="ES01A043"><span class="em">7. What is the approximate usable floor-space in the housing unit?</span><br />Example: 9 6 _ square meters<br />Do not include open terraces or gardens. Do not include basements, carports, back patios, etc. that cannot be used for habitation.<br /><div class="i1">_ _ _ square meters</div><br /></svar>Spain 2001: Households which are not in collective residence [discrepancies: none]This variable indicates the area of usable floor space in the dwelling.00550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140141141142142143143144144145145146146147147148148149149150150151151152152153153154154155155156156157157158158159159160160161161162162163163164164165165166166167167168168169169170170171171172172173173174174175175176176177177178178179179180180181181182182183183184184185185186186187187188188189189190190191191192192193193194194195195196196197197198198199199200200201201202202203203204204205205206206207207208208209209210210211211212212213213214214215215216216217217218218219219220220221221222222223223224224225225226226227227228228229229230230231231232232233233234234235235236236237237238238239239240240241241242242243243244244245245246246247247248248249249250250251251252252253253254254255255256256257257258258259259260260261261262262263263264264265265266266267267268268269269270270271271272272273273274274275275276276277277278278279279280280281281282282283283284284285285286286287287288288289289290290291291292292293293294294295295296296297297298298299299300300 to 399400400 to 499500500 to 599600600 to 699700700 to 799800800 to 899900900+999NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDAvailability of second dwelling<svar a="all" v="ES01A044"><span class="em">8. Does this household tend to use another housing unit (whether owned, rented, or available free-of-charge) for vacations, weekends, or as a second residence?</span><br /><div class="i1">[] Yes <br />[] No (skip to question 11)</div><br /></svar>Spain 2001: Households which are not in collective residence [discrepancies: none]This variable indicates whether the household has access to a second dwelling.1Has second dwelling2Does not have second dwelling9NIU (not in universe)Other Household Variables -- HOUSEHOLDLocation of second dwelling<svar a="all" v="ES01A045 ES01A046 ES01A047"><span class="em">9. Where is this second housing unit?</span><br />(If more than one is in use, refer to the one that is used more often.)<br /><div class="i1">[] In this municipality<br />[] In another municipality<br />Municipality:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Province:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />[] In another country</div><br /></svar>Spain 2001: Households not in collective residence and with the second dwelling [discrepancies: none]This variable indicates the location of the second dwelling.1In the same municipality2In another municipality3In another country9NIU (not in universe)Other Household Variables -- HOUSEHOLDProvince of second dwelling<svar a="all" v="ES01A045 ES01A046 ES01A047"><span class="em">9. Where is this second housing unit?</span><br />(If more than one is in use, refer to the one that is used more often.)<br /><div class="i1">[] In this municipality<br />[] In another municipality<br />Municipality:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Province:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />[] In another country</div><br /></svar>Spain 2001: Households not in collective residence and with the second residence in Spain [discrepancies: none]This variable indicates the code or size of the province (or country) of the second dwelling.01Álava02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla99NIU (not in universe)Other Household Variables -- HOUSEHOLDNumber of days per year that second dwelling is used<svar a="all" v="ES01A048"><span class="em">10. How many days per year, approximately, is this second housing unit used by a member of the household?</span><br /><div class="i1">_ _ _ days</div><br /></svar>Spain 2001: Households which are not in collective residence and have the second dwelling [discrepancies: none]This variable indicates the number of days per year that second dwelling is used.ES01A048 is a 3-digit numeric variable.
Codes999 = NIU.Other Household Variables -- HOUSEHOLDAvailability of motor vehicles (not motorcycles)<svar a="all" v="ES01A049"><span class="em">11. Does this household have a car or mini-van that is used primarily for personal transportation?</span><br /><div class="i1">[] Yes, one<br />[] Yes, two<br />[] Yes, three or more<br />[] No</div><br /></svar>Spain 2001: Households not in collective residence [discrepancies: none]This variable indicates the number of vehicles available to the household.112233 +4None available9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNumber of floors above ground levelSpain 2001: All householdsThis variable indicates the number of floors above ground level in the building.0110220330440550660770880991010+Dwelling Characteristics Variables -- HOUSEHOLDNumber of floors below ground levelSpain 2001: All householdsThis variable indicates the number of floors below the ground level in the building.00112233+Dwelling Characteristics Variables -- HOUSEHOLDType of buildingSpain 2001: All householdsThis variable indicates the type of building where the dwelling is located.0Lodging1Building with only one family dwelling2Building with only family dwelling (more than one dwelling)3Buildings with mainly family dwellings, also commercial space4Buildings primarily with collective dwelling: hotel, shelter, pension5Buildings primarily with collective dwelling: convent, barracks, prison6Buildings primarily with collective dwelling: educational centers, boarding schools, military schools7Buildings primarily with collective dwellings: general hospitals, institutions for handicapped persons, marginalized..8Buildings primarily with commercial businesses with some dwellingGroup Quarters Variables -- HOUSEHOLDYear of construction, categorizedSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the dwelling's year range of construction.01Before 1900021900 - 1920031921 - 1940041941 - 1950051951 - 1960061961 - 1970071971 - 1980081981 - 1990091991 - 200199NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDYear of construction, since 1990Spain 2001: Buildings that are not businesses or lodgings and are constructed after 1990 [discrepancies: none]This variable indicates the dwelling's exact year of construction.19911991199219921993199319941994199519951996199619971997199819981999199920002000200120019999NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDCondition of the buildingSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the dwelling's building physical condition.1In ruins2Bad3Deficient4Good9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDClass of ownerSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the dwelling's class of owner.1One person2The community3A society4A public organization9NIU (not in universe)Household Economic Variables -- HOUSEHOLDAccessibility of the buildingSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates if the building where the dwelling is located is accessible and has an elevator.1Accessible, with elevator2Accessible, without elevator3Not accessible, with elevator4Not accessible, without elevator9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDRunning waterSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the source of running water in the dwelling.1Public water service2Private water service3No running water available9NIU (not in universe)Utilities Variables -- HOUSEHOLDRemoval of waste waterSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the way the dwelling's waste waters are removed.1Sewage drains2Other type3None available9NIU (not in universe)Utilities Variables -- HOUSEHOLDDoorkeeperSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]Indicates whether the building where the dwelling is located has access to a doorperson, electric buzzer, or neither.1Only automatic2Only opened by a doorperson3Both4None available9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDGarageSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]Indicates if the dwelling has a garage.1Yes, has a garage2No garage9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDGasSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the household's access to gas.1Yes, has gas2Does not have gas9NIU (not in universe)Utilities Variables -- HOUSEHOLDTelephone linesSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the household's access to telephone lines.1Yes, has telephone lines2None available9NIU (not in universe)Utilities Variables -- HOUSEHOLDCentral hot waterSpain 2001: Buildings that are not businesses or lodgings [discrepancies: none]This variable indicates the household's access to central hot water.1Yes, available2None available9NIU (not in universe)Utilities Variables -- HOUSEHOLDNumber of families in the householdSpain 2001: Households not in collective residence [discrepancies: none]This variable indicates the number of families in the household.0011223344559NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of nuclei in the householdSpain 2001: Households not in collective residence [discrepancies: none]This variable indicates the number of nuclei in the household.00112233445566779NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of persons in the familySpain 2001: Households not in collective residence [discrepancies: none]This variable indicates the number of persons in the household.0000220330440550660770880991010111112121313141415151616171718181919202021212323252599NIU (not in universe)Constructed Household Variables -- HOUSEHOLDStrataSpain 2001: All householdsThis variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.This is a 5-digit numeric variable with 0 implied decimal placesGeography: O-Z Variables -- HOUSEHOLDPerson numberPERNUM 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.PERNUM is a 4-digit numeric variable.Technical Person Variables -- PERSONPerson weightPERWT 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.PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Person Variables -- PERSONMother's location in householdMOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero.MOMLOC is a 3-digit numeric variable.
Codes0 = No mother of this person present in the household.
1 or higher = The person number of this person's motherConstructed Family Interrelationship Variables -- PERSONFather's location in householdPOPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero.POPLOC is a 3-digit numeric variable.
Codes0 = No father of this person present in the household.
1 or higher = The person number of this person's fatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdSPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology.SPLOC is a 3-digit numeric variable.
Codes0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouseConstructed Family Interrelationship Variables -- PERSONRule for linking parentPARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No parent of person in household11Link to head or spouse, unambiguous12Link to head or spouse, ambiguous21Child-Grandchild, within empirical child cap22Child-Grandchild, within constructed child cap23Child-Grandchild, exceeds child cap31Specified Other Relatives, within empirical child cap32Specified Other Relatives, within constructed child cap33Specified Other Relatives, exceeds child cap41Other Relatives, within empirical child cap42Other Relatives, within constructed child cap51Non-Relatives, within empirical child cap52Non-Relatives, within constructed child capConstructed Family Interrelationship Variables -- PERSONRule for linking spouseSPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No spouse present01Rule 1: strong relationship pairing, couple adjacent02Rule 2: strong relationship pairing, couple not adjacent03Rule 3: weak relationship pairing, couple adjacent04Rule 4: weak relationship pairing, couple not adjacent05Rule 5: weak consensual union pairings06Rule 6: sample-specific rules (usually child-to-child)Constructed Family Interrelationship Variables -- PERSONProbable stepmotherSTEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children born or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.0Biological mother or no mother present1Mother has no children born or surviving2Child reports mother is deceased3Explicitly identified step relationship4Mother reports no children in the home5Age difference implausible6Child exceeds known fertility of motherConstructed Family Interrelationship Variables -- PERSONProbable stepfatherSTEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.0Biological father or no father present1Child reports father is deceased2Explicitly identified step relationship3Age difference implausible4Spouse of mother5Identified as adopted6Surname difference -- male child or never-married femaleConstructed Family Interrelationship Variables -- PERSONMan with more than one wife linkedPOLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.0No more than one wife linked via SPLOC1More than one wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONWoman is second or higher order wifePOLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.0Person is not the 2nd or higher order wife linked via SPLOC1Person is the 2nd or higher order wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONFamily unit membershipFAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).FAMUNIT is a 4-digit numeric variable.
CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.Constructed Family Interrelationship Variables -- PERSONNumber of own family members in householdFAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).00011 family member present00022 family members present00033 family members present000440005500066000770008800099001010001111001212001313001414001515001616001717001818001919002020002121002222002323002424002525002626002727002828002929003030003131003232003333003434003535003636003737003838003939004040004141004242004343004444004545004646004747004848004949005050005151005252005353005454005555005656005757005858005959006060006161006262006363006464006565006666006767006868006969007070007171007272007373007474007575007676007777007878007979008080008181008282008383008484008585008686008787008888008989009090009191009292009393009494009595009696009797009898009999 or more personsConstructed Family Interrelationship Variables -- PERSONNumber of own children in householdNCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.000011022033044055066077088099 or more children in householdConstructed Family Interrelationship Variables -- PERSONNumber of own children under age 5 in householdNCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.000011022033044055066077088099 or more own children under age 5 in household98One or more children have unknown ageConstructed Family Interrelationship Variables -- PERSONAge of eldest own child in householdELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONAge of youngest own child in householdYNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONRelationship to household head [general version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1Head2Spouse/partner3Child4Other relative5Non-relative6Other relative or non-relative9UnknownDemographic Variables -- PERSONRelationship to household head [detailed version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1000Head2000Spouse/partner2100Spouse2200Unmarried partner2210Civil union2300Same-sex spouse/partner3000Child3100Biological child3200Adopted child3300Stepchild3400Child/child-in-law3500Child/child-in-law/grandchild3600Child of unmarried partner4000Other relative4100Grandchild4110Grandchild or great grandchild4120Great grandchild4130Great-great grandchild4200Parent/parent-in-law4210Parent4211Stepparent4220Parent-in-law4300Child-in-law4301Daughter-in-law4302Spouse/partner of child4310Unmarried partner of child4400Sibling/sibling-in-law4410Sibling4420Stepsibling4430Sibling-in-law4431Sibling of spouse/partner4432Spouse/partner of sibling4500Grandparent4510Great grandparent4600Parent/grandparent/ascendant4700Aunt/uncle4800Other specified relative4810Nephew/niece4820Cousin4830Sibling's sibling-in-law4900Other relative, not elsewhere classified4910Other relative with same family name4920Other relative with different family name4930Other relative, not specified (secondary family)5000Non-relative5100Friend/guest/visitor/partner5110Partner/friend5111Friend5112Partner/roommate5113Housemate/roommate5120Visitor5130Ex-spouse5140Godparent5150Godchild5200Employee5210Domestic employee5220Relative of employee, n.s.5221Spouse of servant5222Child of servant5223Other relative of servant5300Roomer/boarder/lodger/foster child5310Boarder5311Boarder or guest5320Lodger5330Foster child5340Tutored/foster child5350Tutored child5400Employee, boarder, or guest5500Other specified non-relative5510Agregado5520Temporary resident, guest5600Group quarters5610Group quarters, non-inmates5620Institutional inmates5900Non-relative, n.e.c.6000Other relative or non-relative9999UnknownDemographic Variables -- PERSONRelationship to head, EuropeERELATE 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.10Reference person / Head20Spouse or partner21Husband or wife22Partner in consensual union30Child/child-in-law of head or of spouse/partner31Spouse or partner of child of head40Parent of head, of spouse, or of partner50Other relative of head, spouse, or partner60Non-relative of head61Foster child62Boarder63Domestic servant64Other99Not stated / unknownDemographic Variables -- PERSONAgeAGE gives age in years as of the person's last birthday prior to or on the day of enumeration.000Less than 1 year0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100+999Not reported/missingDemographic Variables -- PERSONAge, grouped into intervalsAGE2 gives computed years of age grouped into intervals.010 to 4025 to 90310 to 140415 to 19050 to 5066 to 100710 to 150811 to 140915 to 171016 to 191118 to 241220 to 241325 to 291430 to 341535 to 391640 to 441745 to 491850 to 541955 to 592060 to 642165 to 692270 to 742375 to 792480 to 842585+98UnknownDemographic Variables -- PERSONSexSEX reports the sex (gender) of the respondent.1Male2Female9UnknownDemographic Variables -- PERSONMarital status [general version]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.0NIU (not in universe)1Single/never married2Married/in union3Separated/divorced/spouse absent4Widowed9Unknown/missingDemographic Variables -- PERSONMarital status [detailed version]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.000NIU (not in universe)100Single/never married110Engaged111Never married and never cohabited200Married or consensual union210Married, formally211Married, civil212Married, religious213Married, civil and religious214Married, civil or religious215Married, traditional/customary216Married, monogamous217Married, polygamous219Married, spouse absent (historical samples)220Consensual union300Separated/divorced/spouse absent310Separated or divorced320Separated or annulled330Separated331Separated legally332Separated de facto333Separated from marriage334Separated from consensual union335Separated from consensual union or marriage340Annulled350Divorced400Widowed410Widowed or divorced411Widowed from consensual union or marriage412Widowed from marriage413Widowed from consensual union420Widowed, divorced, or separated999Unknown/missingDemographic Variables -- PERSONMarital status, EuropeEMARST 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.0NIU (not in universe)1Never married2Married3Widowed and not remarried4Divorced/separated and not remarried5Widowed or divorced9Unknown / missingDemographic Variables -- PERSONConsensual unionCONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.1Yes, in consensual union2No, married8Unknown9NIU (not in universe)Demographic Variables -- PERSONSame-sex couple, SpainSAMESEX indicates the gender composition of a consensual union in 2001 and 2011 Spain.1Same-sex couple, feminine2Same-sex couple, masculine3Not a same-sex couple9NIU (not in universe)Demographic Variables -- PERSONSubfamily membership numberSUBFNUM gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.). SUBFNUM records the identification of subfamilies in the original dataset, which generally correspond to conjugal units and their offspring.0000Non-family or sub-family not identified00011st subfamily00022nd subfamily00033rd subfamily00044th subfamily00055th subfamily00066th subfamily00077th subfamily00088th subfamily00099th subfamily001010th subfamily001111th subfamily001212th subfamily001313th subfamily0099UnknownDemographic Variables -- PERSONYear of birthBIRTHYR gives the person's year of birth.0000NIU (not in universe)162816281629162916301630163116311634163416351635163616361637163716381638163916391640164016411641164216421643164316441644164516451646164616471647164816481649164916501650165116511652165216531653165416541655165516561656165716571658165816591659166016601661166116621662166316631664166416651665166616661667166716681668166916691670167016711671167216721673167316741674167516751676167616771677167816781679167916801680168116811682168216831683168416841685168516861686168716871688168816891689169016901691169116921692169316931694169416951695169616961697169716981698169916991700170017011701170217021703170317041704170517051706170617071707170817081709170917101710171117111712171217131713171417141715171517161716171717171718171817191719172017201721172117221722172317231724172417251725172617261727172717281728172917291730173017311731173217321733173317341734173517351736173617371737173817381739173917401740174117411742174217431743174417441745174517461746174717471748174817491749175017501751175117521752175317531754175417551755175617561757175717581758175917591760176017611761176217621763176317641764176517651766176617671767176817681769176917701770177117711772177217731773177417741775177517761776177717771778177817791779178017801781178117821782178317831784178417851785178617861787178717881788178917891790179017911791179217921793179317941794179517951796179617971797179817981799179918001800180118011802180218031803180418041805180518061806180718071808180818091809181018101811181118121812181318131814181418151815181618161817181718181818181918191820182018211821182218221823182318241824182518251826182618271827182818281829182918301830183118311832183218331833183418341835183518361836183718371838183818391839184018401841184118421842184318431844184418451845184618461847184718481848184918491850185018511851185218521853185318541854185518551856185618571857185818581859185918601860186118611862186218631863186418641865186518661866186718671868186818691869187018701871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209999UnknownDemographic Variables -- PERSONMonth of birthBIRTHMO indicates the person's month of birth.01January02February03March04April05May06June07July08August09September10October11November12December98Unknown99NIU (not in universe)Demographic Variables -- PERSONNativity statusNATIVITY indicates whether the person was native-born or foreign-born.0NIU (not in universe)1Native-born2Foreign-born9Unknown/missingNativity and Birthplace Variables -- PERSONCountry of birthBPLCOUNTRY indicates the person's country of birth.00000NIU (not in universe)10000Africa11000Eastern Africa11005British Indian Ocean Territory11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11051Ethiopia (including Eritrea)11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15021Upper Volta15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15081Guinea-Bissau and Cape Verde15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15180Canary Islands15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21991Caribbean commonwealth, n.s.21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32042India/Pakistan/Bangladesh/Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32101Pakistan/Bangladesh32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34071Israel/Palestine34080Jordan34090Kuwait34100Lebanon34110Palestine34111West Bank34112Gaza Strip34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41991Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43121Spain/Portugal43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43991Gibraltar/Malta43992Portugal/Greece43993Italy, Holy See, San Marino43999Southern Europe, other or n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Belgium/Netherlands/Luxemburg44030France44040Germany44042West Germany44043Germany/Austria44044Mecklenburg-Schwerin44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44991Belgium, Denmark, Luxembourg, Netherlands44999Western Europe, other or n.s.49992European Union49993European Union (original 15)49994Other European Union (not original 15)49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53060Federated States of Micronesia53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.80000AT SEA90000Other countries n.s.99999UnknownNativity and Birthplace Variables -- PERSONCitizenshipCITIZEN indicates the person's citizenship status within the country in which they were enumerated.1Citizen, not specified2Citizen by birth3Naturalized citizen4Not a citizen5Without citizenship, stateless8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONCountry of citizenshipNATION indicates the person's country of citizenship.00000NIU (not in universe)10000Africa11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt/United Arab Rep.13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21220St. Lucia21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24021Canada, First Nations24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32990Burma, India, Pakistan, Ceylon32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33991Laos and Cambodia33992Malaysia and Singapore33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42121Britain42122Scotland42123Wales42990Nordic countries42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43999Southern Europe, other or n.s.44000Western Europe44010Austria44011Austro-Hungarian44020Belgium44022Belgium/Netherlands/Luxemburg44030France44040Germany44041East Germany44042West Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44999Western Europe, other or n.s.49992European Union49993European Union (Original 15)49994Other European Union49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.90000Other countries n.s.99998No citizenship/nationality99999UnknownNativity and Birthplace Variables -- PERSONYear of immigrationYRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated.0000NIU (not in universe)1790179018001800180118011802180218031803180418041805180518061806180718071808180818091809181018101811181118121812181318131814181418151815181618161817181718181818181918191820182018211821182218221823182318241824182518251826182618271827182818281829182918301830183118311832183218331833183418341835183518361836183718371838183818391839184018401841184118421842184318431844184418451845184618461847184718481848184918491850185018511851185218521853185318541854185518551856185618571857185818581859185918601860186118611862186218631863186418641865186518661866186718671868186818691869187018701871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209998In transit9999UnknownNativity and Birthplace Variables -- PERSONYears since immigratedYRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration.000 (within previous year)0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636464656566666767686869697070717172727373747475757676777778787979808081818282838384848585868687878888898990909191929293939494959596969797+98Unknown99NIU (not in universe)Nativity and Birthplace Variables -- PERSONYears since immigrated, categorizedYRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals.1Less than 1 year21 to 4 years35 to 9 years410 or more years8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONProvince of birth, SpainBPLES indicates the province in Spain in which the person was born.01Araba02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla53Ceuta, Melilla and other Spanish territories59Born in Spain, municipality unknown97Abroad98UnknownNativity and Birthplace Variables -- PERSONRegion of birth, Europe, NUTS1EBPLNT1 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.0000NIU (not in universe)0901ES1 / Noroeste0902ES2 / Noreste0903ES3 / Comunidad de Madrid0904ES4 / Centro (E)0905ES5 / Este0906ES6 / Sur0907ES7 / Canarias0908ES6 / Sur + Other Spanish territories1101FR1 / Île de France1102FR2 / Bassin Parisien1103FR3 / Nord - Pas-de-Calais1104FR4 / Est1105FR5 / Ouest1106FR6 / Sud-Ouest1107FR7 / Centre-Est1108FR8 / Méditerranée1201EL1 / Voreia Ellada1202EL2 / Kentriki Ellada1203EL3 / Attiki1204EL4 / Nisia Aigaiou, Kriti1301HU1 / Közép-Magyarország1302HU2 / Dunántúl1303HU3 / Alföld és Észak1400IE0 / Republic of Ireland2201PT1 / Continente2202PT2 / Região Autónoma dos Açores2203PT3 / Região Autónoma da Madeira2301RO1 / Macroregiunea unu2302RO2 / Macroregiunea doi2303RO3 / Macroregiunea trei2304RO4 / Macroregiunea patru2501SI0 / Slovenija3401CH0/Switzerland3901TR1 / Istanbul3902TR2 / Bati Marmara3903TR3 / Ege3904TR4 / Dogu Marmara3905TR5 / Bati Anadolu3906TR6 / Akdeniz3907TR7 / Orta Anadolu3908TR8 / Bati Karadeniz3909TR9 / Dogu Karadeniz3911TRA / Kuzeydogu Anadolu3912TRB / Ortadogu Anadolu3913TRC / Güneydogu Anadolu9998Response suppressed9999UnknownNativity and Birthplace Variables -- PERSONRegion of birth, Europe, NUTS2EBPLNT2 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.0000NIU (not in universe)0911ES11 / Galicia0912ES12 / Principado de Asturias0913ES13 / Cantabria0921ES21 / País Vasco0922ES22 / Comunidad Foral de Navarra0923ES23 / La Rioja0924ES24 / Aragón0930ES30 / Comunidad de Madrid0941ES41 / Castilla y León0942ES42 / Castilla-La Mancha0943ES43 / Extremadura0951ES51 / Cataluña0952ES52 / Comunidad Valenciana0953ES53 / Illes Balears0961ES61 / Andalucía0962ES62 / Región de Murcia0963ES63 / Ciudad Autónoma de Ceuta0964ES64 / Ciudad Autónoma de Melilla0969ES63 + ES64 + Other Spanish territories0970ES70 / Canarias1110FR10 / Region d'Île de France1121FR21 / Champagne-Ardenne1122FR22 / Picardie1123FR23 / Haute-Normandie1124FR24 / Centre1125FR25 / Basse-Normandie1126FR26 / Bourgogne1130FR30 / Nord-Pas-de-Calais1141FR41 / Lorraine1142FR42 / Alsace1143FR43 / Franche-Comté1151FR51 / Pays de la Loire1152FR52 / Bretagne1153FR53 / Poitou-Charentes1161FR61 / Aquitaine1162FR62 / Midi-Pyrénées1163FR63 / Limousin1171FR71 / Rhône-Alpes1172FR72 / Auvergne1181FR81 / Lanquedoc-Roussillon1182FR82 / Provence-Alpes-Côte d'Azur1183FR83 / Corse1211EL11 / Anatoliki Makedonia, Thraki1212EL12 / Kentriki Makedonia1213EL13 / Dytiki Makedonia1214EL14 / Thessalia1221EL21 / Ipeiros1222EL22 / Ionia Nisia1223EL23 / Dytiki Ellada1224EL24 / Sterea Ellada1225EL25 / Peloponnisos1230EL30 / Attiki1241EL41 / Voreio Aigaio1242EL42 / Notio Aigaio1243EL43 / Kriti1401IE01 / Border, Midland and Western1402IE02 / Southern and Eastern2211PT11 / Norte2215PT15 / Algarve2216PT16 / Centro (P)2217PT17 / Lisboa2218PT18 / Alentejo2220PT20 / Região Autónoma dos Açores2230PT30 / Região Autónoma da Madeira2311RO11 / Nord-Vest2312RO12 / Centru2321RO21 / Nord-Est2322RO22 / Sud-Est2331RO31 / Sud - Muntenia2332RO32 / Bucuresti - Ilfov2341RO41 / Sud-Vest Oltenia2342RO42 / Vest2501SI01 / Vzhodna Slovenija2502SI02 / Zahodna Slovenija3401CH01 / Région Lémanique3402CH02 / Espace Mittelland3403CH03 / Nordwestschweiz3404CH04 / Zurich3405CH05 / Ostschweiz3406CH06 / Zentralschweiz3407CH07 / Ticino3910TR10 / Istanbul3921TR21 / Tekirdag, Edirne, Kirklareli3922TR22 / Balikesir, Çanakkale3931TR31 / Izmir3932TR32 / Aydin, Denizli, Mugla3933TR33 / Manisa, Afyonkarahisar, Kütahya, Usak3941TR41 / Bursa, Eskisehir, Bilecik3942TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova3951TR51 / Ankara3952TR52 / Konya, Karaman3961TR61 / Antalya, Isparta, Burdur3962TR62 / Adana, Mersin3963TR63 / Hatay, Kahramanmaras, Osmaniye3971TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir3972TR72 / Kayseri, Sivas, Yozgat3981TR81 / Zonguldak, Karabük, Bartin3982TR82 / Kastamonu, Çankiri, Sinop3983TR83 / Samsun, Tokat, Çorum, Amasya3990TR90 / Trabzon3991TRA1 / Erzurum, Erzincan, Bayburt3992TRA2 / Agri, Kars, Igdir, Ardahan3993TRB1 / Malatya, Elazig, Bingöl, Tunceli3994TRB2 / Van, Mus, Bitlis, Hakkari3995TRC1 / Gaziantep, Adiyaman, Kilis3996TRC2 / Sanliurfa, Diyarbakir3997TRC3 / Mardin, Batman, Sirnak, Siirt9998Response suppressed9999UnknownNativity and Birthplace Variables -- PERSONRegion of birth, Europe, NUTS3EBPLNT3 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.00000NIU (Not in universe)09111ES111 / A Coruña09112ES112 / Lugo09113ES113 / Ourense09114ES114 / Pontevedra09120ES120 / Asturias09130ES130 / Cantabria09211ES211 / Álava09212ES212 / Guipúzcoa09213ES213 / Vizcaya09220ES220 / Navarra09230ES230 / La Rioja09241ES241 / Huesca09242ES242 / Teruel09243ES243 / Zaragoza09300ES300 / Madrid09411ES411 / Ávila09412ES412 / Burgos09413ES413 / León09414ES414 / Palencia09415ES415 / Salamanca09416ES416 / Segovia09417ES417 / Soria09418ES418 / Valladolid09419ES419 / Zamora09421ES421 / Albacete09422ES422 / Ciudad Real09423ES423 / Cuenca09424ES424 / Guadalajara09425ES425 / Toledo09431ES431 / Badajoz09432ES432 / Cáceres09511ES511 / Barcelona09512ES512 / Girona09513ES513 / Lleida09514ES514 / Tarragona09521ES521 / Alicante/Alacant09522ES522 / Castellón/Castelló09523ES523 / Valencia/València09532ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera09611ES611 / Almería09612ES612 / Cádiz09613ES613 / Córdoba09614ES614 / Granada09615ES615 / Huelva09616ES616 / Jaén09617ES617 / Málaga09618ES618 / Sevilla09620ES620 / Murcia09630ES630 / Ceuta09640ES640 / Melilla09699ES630 / Ceuta + ES640 / Melilla + Other Spanish territories09705ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote09709ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro12111EL111 / Evros12112EL112 / Xanthi12113EL113 / Rodopi12114EL114 / Drama12115EL115 / Kavala12121EL121 / Imathia12122EL122 / Thessaloniki12123EL123 / Kilkis12124EL124 / Pella12125EL125 / Pieria12126EL126 / Serres12127EL127 / Chalkidiki and Aghion Oros12131EL131 / ELevena12132EL132 / Kastoria12133EL133 / Kozani12134EL134 / Florina12141EL141 / Karditsa12142EL142 / Larissa12143EL143 / Magnissia12144EL144 / Trikala12211EL211 / Arta12212EL212 / Thesprotia12213EL213 / Ioannina12214EL214 / Preveza12221EL221 / Zakynthos12222EL222 / Kerkyra12223EL223 / Kefallinia12224EL224 / Lefkada12231EL231 / Etolia and Akarnania12232EL232 / Achaia12233EL233 / Ilia12241EL241 / Viotia12242EL242 / Evia12243EL243 / Evrytania12244EL244 / Fthiotida12245EL245 / Fokida12251EL251 / Argolida12252EL252 / Arkadia12253EL253 / Korinthia12254EL254 / Lakonia12255EL255 / Messinia12300EL300 / Attiki12411EL411 / Lesvos12412EL412 / Samos12413EL413 / Chios12421EL421 / Dodekanissos12422EL422 / Kyklades12431EL431 / Iraklio12432EL432 / Lassithi12433EL433 / Rethymno12434EL434 / Chania14011IE011 / Border14012IE012 / Midlands14013IE013 / West14021IE021 / Dublin14022IE022 / Mid-East14023IE023 / Mid-West14024IE024 / South-East14025IE025 / South-West11111PT111 / Minho-Lima11112PT112 / Cávado11113PT113 / Ave11114PT114 / Grande Porto11115PT115 / Tâmega11116PT116 / Entre Douro e Vouga11117PT117 / Douro11118PT118 / Alto Trás-os-Montes15150PT150 / Algarve16161PT161 / Baixo Vouga16162PT162 / Baixo Mondego16163PT163 / Pinhal Litoral16164PT164 / Pinhal Interior Norte16165PT165 / Dão-Lafões16166PT166 / Pinhal Interior Sul16167PT167 / Serra da Estrela16168PT168 / Beira Interior Norte16169PT169 / Beira Interior Sul17171PT171 / Grande Lisboa17172PT172 / Península de Setúbal18181PT181 / Alentejo Litoral18182PT182 / Alto Alentejo18183PT183 / Alentejo Central18184PT184 / Baixo Alentejo18185PT185 / Lezíria do Tejo16170PT16A / Cova da Beira16171PT16B / Oeste16172PT16C / Médio Tejo20200PT200 / Região Autónoma dos Açores30300PT300 / Região Autónoma da Madeira23111RO111 / Bihor23112RO112 / Bistrita Nasaud23113RO113 / Cluj23114RO114 / Maramures23115RO115 / Satu Mare23116RO116 / Salaj23121RO121 / Alba23122RO122 / Brasov23123RO123 / Covasna23124RO124 / Harghita23125RO125 / Mures23126RO126 / Sibiu23211RO211 / Bacau23212RO212 / Botosani23213RO213 / Iasi23214RO214 / Neamt23215RO215 / Suceava23216RO216 / Vaslui23221RO221 / Braila23222RO222 / Buzau23223RO223 / Constanta23224RO224 / Galati23225RO225 / Tulcea23226RO226 / Vrancea23311RO311 / Arges23312RO312 / Calarasi23313RO313 / Dimbovita23314RO314 / Giurgiu23315RO315 / Ialomita23316RO316 / Prahova23317RO317 / Teleorman23321RO321 / Bucuresti23322RO322 / Ilfov23411RO411 / Dolj23412RO412 / Gorj23413RO413 / Mehedinti23414RO414 / Olt23415RO415 / Valcea23421RO421 / Arad23422RO422 / Caras Severin23423RO423 / Hunedoara23424RO424 / Timis25011SI011 / Pomurska25012SI012 / Podravska25013SI013 / Koroska25014SI014 / Savinjska25015SI015 / Zasavska25016SI016 / Spodnjeposavska25017SI017 / Jugovzhodna Slovenija25018SI018 / Notranjsko-kraska25021SI021 / Osrednjeslovenska25022SI022 / Gorenjska25023SI023 / Goriska25024SI024 / Obalno-kraska34011CH011 / Vaud34012CH012 / Valais34013CH013 / Geneva34021CH021 / Bern34022CH022 / Freiburg34023CH023 / Solothurn34024CH024 / Neuchatel34025CH025 / Jura34031CH031 / Basel-Stadt34032CH032 / Basel-Landschaft34033CH033 / Aargau34040CH040 / Zurich34051CH051 / Glarus34052CH052 / Schaffhausen34053CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden34055CH055 / St. Gallen34056CH056 / Graubunden34057CH057 / Thurgau34061CH061 / Luzern34062CH062 / Uri34063CH063 / Schwyz34064CH064 / Obwalden34065CH065 / Nidwalden34066CH066 / Zug34070CH070 / Ticino39100TR100 / Istanbul39211TR211 / Tekirdag39212TR212 / Edirne39213TR213 / Kirklareli39221TR221 / Balikesir39222TR222 / Çanakkale39310TR310 / Izmir39321TR321 / Aydin39322TR322 / Denizli39323TR323 / Mugla39331TR331 / Manisa39332TR332 / Afyon39333TR333 / Kütahya39334TR334 / Usak39411TR411 / Bursa39412TR412 / Eskisehir39413TR413 / Bilecik39421TR421 / Kocaeli39422TR422 / Sakarya39423TR423 / Düzce39424TR424 / Bolu39425TR425 / Yalova39510TR510 / Ankara39521TR521 / Konya39522TR522 / Karaman39611TR611 / Antalya39612TR612 / Isparta39613TR613 / Burdur39621TR621 / Adana39622TR622 / Içel (Mersin)39631TR631 / Hatay39632TR632 / Kahramanmaras39633TR633 / Osmaniye39711TR711 / Kirikkale39712TR712 / Aksaray39713TR713 / Nigde39714TR714 / Nevsehir39715TR715 / Kirsehir39721TR721 / Kayseri39722TR722 / Sivas39723TR723 / Yozgat39811TR811 / Zonguldak39812TR812 / Karabük39813TR813 / Bartin39821TR821 / Kastamonu39822TR822 / Çankiri39823TR823 / Sinop39831TR831 / Samsun39832TR832 / Tokat39833TR833 / Çorum39834TR834 / Amasya39901TR901 / Trabzon39902TR902 / Ordu39903TR903 / Giresun39904TR904 / Rize39905TR905 / Artvin39906TR906 / Gümüshane39910TRA11 / Erzurum39911TRA12 / Erzincan39912TRA13 / Bayburt39921TRA21 / Agri39922TRA22 / Kars39923TRA23 / Igdir39924TRA24 / Ardahan39931TRB11 / Malatya39932TRB12 / Elazig39933TRB13 / Bingöl39934TRB14 / Tunceli39941TRB21 / Van39942TRB22 / Mus39943TRB23 / Bitlis39944TRB24 / Hakkari39951TRC11 / Gaziantep39952TRC12 / Adiyaman39953TRC13 / Kilis39961TRC21 / Sanliurfa39962TRC22 / Diyarbakir39971TRC31 / Mardin39972TRC32 / Batman39973TRC33 / Sirnak39974TRC34 / Siirt99998Response suppressed99999UnknownNativity and Birthplace Variables -- PERSONSchool attendanceSCHOOL 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.0NIU (not in universe)1Yes2No, not specified3No, attended in the past4No, never attended9Unknown/missingEducation Variables -- PERSONLiteracyLIT 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.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational attainment, international recode [general version]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.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational attainment, international recode [detailed version]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.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- PERSONEducational attainment, SpainEDUCES indicates the person's educational attainment in Spain in terms of the level of schooling completed.000NIU (not in universe)100None200Basic (primary) education201Less than 5-year primary approved202Grades 1-5 approved203Grades 1-8 approved300Middle (secondary) education310Higher level secondary (grades 9-12)320Basic formation (years 1-2)400Post-secondary410Higher formation (years 3-5)421Some technical higher education422Technical higher education completed431Some undergraduate college (and graduate education 1981)432Undergraduate college graduate (and graduate education 1981)440Non-university higher education degrees450Post-graduate studies460Master degree or equivalent470Doctoral studies999UnknownEducation Variables -- PERSONEducational attainment, EuropeEEDATTAIN 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.00NIU (not in universe)10Less than primary20Primary (first stage of basic education)30Lower secondary (second stage of basic education)40Upper secondary50Post-secondary non-tertiary education60University completed99Unknown/missingEducation Variables -- PERSONActivity status (employment status) [general version]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".0NIU (not in universe)1Employed2Unemployed3Inactive9Unknown/missingWork Variables -- PERSONActivity status (employment status) [detailed version]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".000NIU (not in universe)100Employed, not specified110At work111At work, and 'student'112At work, and 'housework'113At work, and 'seeking work'114At work, and 'retired'115At work, and 'no work'116At work, and other situation117At work, family holding, not specified118At work, family holding, not agricultural119At work, family holding, agricultural120Have job, not at work in reference period130Armed forces131Armed forces, at work132Armed forces, not at work in reference period133Military trainee140Marginally employed200Unemployed, not specified201Unemployed 6 or more months202Worked fewer than 6 months, permanent job203Worked fewer than 6 months, temporary job210Unemployed, experienced worker220Unemployed, new worker230No work available240Inactive unemployed300Inactive (not in labor force)310Housework320Unable to work, disabled or health reasons321Permanent disability322Temporary illness323Disabled or imprisoned330In school340Retirees and living on rent341Living on rents342Living on rents or pension343Retirees/pensioners344Retired345Pensioner346Non-retirement pension347Disability pension348Retired without benefits350Elderly351Elderly or disabled360Institutionalized361Prisoner370Intermittent worker371Not working, seasonal worker372Not working, occasional worker380Other income recipient390Inactive, other reasons391Too young to work392Dependent999Unknown/missingWork Variables -- PERSONActivity status (employment status), EuropeEEMPSTAT 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.000NIU (not in universe)110Employed120Unemployed121Unemployed, never worked before200Not economically active, unspecified210Students220Pension or capital income recipients230Homemakers240Others999Unknown / missingWork Variables -- PERSONLabor force participationLABFORCE 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.1No, not in the labor force2Yes, in the labor force8Unknown9NIU (not in universe)Work Variables -- PERSONOccupation, ISCO generalOCCISCO 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.01Legislators, senior officials and managers02Professionals03Technicians and associate professionals04Clerks05Service workers and shop and market sales06Skilled agricultural and fishery workers07Crafts and related trades workers08Plant and machine operators and assemblers09Elementary occupations10Armed forces11Other occupations, unspecified or n.e.c.97Response suppressed98Unknown99NIU (not in universe)Work Variables -- PERSONOccupation, unrecodedOCC 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.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 2012Work Variables -- PERSONIndustry, general recodeINDGEN 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.000NIU (not in universe)010Agriculture, fishing, and forestry020Mining and extraction030Manufacturing040Electricity, gas, water and waste management050Construction060Wholesale and retail trade070Hotels and restaurants080Transportation, storage, and communications090Financial services and insurance100Public administration and defense110Services, not specified111Business services and real estate112Education113Health and social work114Other services120Private household services130Other industry, n.e.c.998Response suppressed999UnknownWork Variables -- PERSONIndustry, unrecoded"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.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 2010Work Variables -- PERSONStatus in employment (class of worker) [general version]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.0NIU (not in universe)1Self-employed2Wage/salary worker3Unpaid worker4Other9Unknown/missingWork Variables -- PERSONStatus in employment (class of worker) [detailed version]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.000NIU (not in universe)100Self-employed101Self-employed, unincorporated102Self-employed, incorporated110Employer111Sharecropper, employer120Working on own account121Own account, agriculture122Domestic worker, self-employed123Subsistence worker, own consumption124Own account, other125Own account, without temporary/unpaid help126Own account, with temporary/unpaid help130Member of cooperative140Sharecropper141Sharecropper, self-employed142Sharecropper, employee150Kibbutz member199Self-employed, not specified200Wage/salary worker201Management202Non-management203White collar (non-manual)204Blue collar (manual)205White or blue collar206Day laborer207Employee, with a permanent job208Employee, occasional, temporary, contract209Employee without legal contract210Wage/salary worker, private employer211Apprentice212Religious worker213Wage/salary worker, non-profit, NGO214White collar, private215Blue collar, private216Paid family worker217Cooperative employee220Wage/salary worker, government221Federal, government employee222State government employee223Local government employee224White collar, public225Blue collar, public226Public companies227Civil servants, local collectives230Domestic worker (work for private household)240Seasonal migrant241Seasonal migrant, no broker242Seasonal migrant, uses broker250Other wage and salary251Canal zone/commission employee252Government employment/training program253Mixed state/private enterprise/parastatal254Government public work program255State enterprise employee256Coordinated and continuous collaboration job300Unpaid worker310Unpaid family worker320Apprentice, unpaid or unspecified330Trainee340Apprentice or trainee350Works for others without wage400Other999Unknown/missingWork Variables -- PERSONStatus in employment (class of worker), EuropeECLASSWK 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.0NIU (not in universe)1Employees2Employers3Own-account worker4Contributing family workers5Members of producers' co-operatives6Persons not classificable by status9UnknownWork Variables -- PERSONHours worked per weekHRSWORK1 indicates the number of hours the respondent worked per week at all jobs.0000 hours0011 hour0022 hours0033 hours0044 hours0055 hours0066 hours0077 hours0088 hours0099 hours01010 hours01111 hours01212 hours01313 hours01414 hours01515 hours01616 hours01717 hours01818 hours01919 hours02020 hours02121 hours02222 hours02323 hours02424 hours02525 hours02626 hours02727 hours02828 hours02929 hours03030 hours03131 hours03232 hours03333 hours03434 hours03535 hours03636 hours03737 hours03838 hours03939 hours04040 hours04141 hours04242 hours04343 hours04444 hours04545 hours04646 hours04747 hours04848 hours04949 hours05050 hours05151 hours05252 hours05353 hours05454 hours05555 hours05656 hours05757 hours05858 hours05959 hours06060 hours06161 hours06262 hours06363 hours06464 hours06565 hours06666 hours06767 hours06868 hours06969 hours07070 hours07171 hours07272 hours07373 hours07474 hours07575 hours07676 hours07777 hours07878 hours07979 hours08080 hours08181 hours08282 hours08383 hours08484 hours08585 hours08686 hours08787 hours08888 hours08989 hours09090 hours09191 hours09292 hours09393 hours09494 hours09595 hours09696 hours09797 hours09898 hours09999 hours100100 hours101101 hours102102 hours103103 hours104104 hours105105 hours106106 hours107107 hours108108 hours109109 hours110110 hours111111 hours112112 hours113113 hours114114 hours115115 hours116116 hours117117 hours118118 hours119119 hours120120 hours121121 hours122122 hours123123 hours124124 hours125125 hours126126 hours127127 hours128128 hours129129 hours130130 hours131131 hours132132 hours133133 hours134134 hours135135 hours136136 hours137137 hours138138 hours139139 hours140140+ hours998Unknown999NIU (not in universe)Work Variables -- PERSONHours worked per week, categorizedHRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals.0None11 to 14 hours (except tt1980, tt1990 and tt2000)215 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971)330 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971)440-48 hours (except il1972, tt1980, tt1990, and tt2000)549 hours or more (except il1972 and tt2000)8Unknown9NIU (not in universe)Work Variables -- PERSONUsual hours worked per weekHRSUSUAL1 indicates the usual number of hours the respondent works in a typical week across all jobs or in their main job.0000 hours0011 hour0022 hours0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140+ hours997Inconsistent or irregular work schedule998Unknown999NIU (Not in universe)Work Variables -- PERSONUsual hours worked per week, categorizedHRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals.0None11 to 14 hours (except ca1971)215 to 29 hours (except de1970, ca1971)330 to 39 hours (except de1970)440-48 hours (except il1972-1995, ca1971, pt1991-2011)549 hours or more (except il1972 and ca1971)7Inconsistent or irregular work schedule8Unknown9NIU (not in universe)Work Variables -- PERSONMeans of transportation to work or schoolTRNWRK 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.00NIU (not in universe)10None, does not travel to work or school20Walking21Walks or bicycle22Walks, bicycle, or motorcycle30Private vehicle31Auto, truck, van32Auto (driver)33Auto (passenger)34Auto, motorcycle, moped35Motorcycle, moped, or scooter36Bicycle37Bicycle or motorcycle/moped38Boat40Public transportation41Bus or trolley bus42Bus or streetcar43Streetcar or trolley car44Railroad or train45Subway or elevated train46Other public transportation50Other51Taxicab52Ferryboat53Special transportation (company coach, school bus, etc.)54Hired transport55Shared private transport56Horse or animal-drawn vehicle57Other, not elsewhere classified60Combination of several means99Unknown/missingWork Variables -- PERSONMigration status, 10 yearsMIGRATE0 indicates the person's place of residence 10 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same minor administrative unit, same house13Same minor administrative unit, different house14Same major, different minor administrative unit20Different major administrative unit30Abroad99Unknown/missingMigration: Global Variables -- PERSONMigration status, previous residenceMIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same major, different minor administrative unit20Different major administrative unit30Abroad98Response suppressed99Not reported/missing/unknownMigration: Global Variables -- PERSONCountry of residence 10 years agoMIGCTRY0 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.00000NIU (not in universe)10000AFRICA11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12100Sao Tome and Principe12999Middle Africa, n.s.13000Northern Africa13010Algeria13020Egypt/United Arab Rep.13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13990Northern Africa, n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, n.s.15000Western Africa15010Benin15020Burkina Faso15150Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15160Sierra Leone15170Togo19999Africa, n.s.20000AMERICAS21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St. Thomas21240St. Vincent and the Grenadines21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21999Caribbean, n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23990South America, n.s.23991Central and Latin America24000North America24010Bermuda24020Canada24030Greenland24040Saint Pierre and Miquelon24050United States24051U.S. Outlying Areas and Territories24999U.S.A, Canada, Mexico29999Americas, n.s.30000ASIA31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India, Pakistan, Bangladesh, Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33040Indonesia33050Laos33060Malaysia33061Malaysia and Singapore33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34160Turkey34170United Arab Emirates34180Yemen34190Middle East, not specified34191Arabia34192Other Arab countries34199Gulf countries39999Asia, n.s.40000EUROPE41000Eastern Europe41010Belarus41020Bulgaria41021Albania/Bulgaria/Romania41030Czech Republic41031Czechoslovakia/Yugoslavia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41999Eastern Europe, n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42110Sweden42120United Kingdom42199Scandinavia43000Southern Europe43010Albania43020Andorra43030Bosnia43040Croatia43050Gibraltar43060Greece43070Italy43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Serbia and Montenegro43999Southern Europe, n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Benelux (Belgium/Netherlands/Luxemburg)44030France44040Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland49999Europe, n.s.50000OCEANIA51000Australia and New Zealand51010Australia51020New Zealand51021New Zealand/New Guinea51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, n.e.c.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Samoa54060Tokelau54070Tonga54080Tuvalu54090Wallis and Futuna Isls.59999Oceania, n.s.60000OTHER, unspecified or unclassifiable90000Non-migrants (International)99998Response suppressed99999UNKNOWNMigration: Global Variables -- PERSON1st subnational geographic level of previous residence, world [consistent boundaries over time]GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence).
For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here.051901Yerevan [Province: Armenia]051902Aragatsotn [Province: Armenia]051903Ararat [Province: Armenia]051904Armavir [Province: Armenia]051905Gegharkunik [Province: Armenia]051906Lori [Province: Armenia]051907Kotayk [Province: Armenia]051908Shirak [Province: Armenia]051909Syunik [Province: Armenia]051910Vayots Dzor [Province: Armenia]051911Tavush [Province: Armenia]051912Nagorno-Karabagh [Province: Armenia]051997Foreign country [Province: Armenia]051998Unknown [Province: Armenia]051999NIU (not in universe) [Province: Armenia]112001Brest [Region: Belarus]112002Vitebsk [Region: Belarus]112003Gomel [Region: Belarus]112004Grodno [Region: Belarus]112006Minsk, Minsk City [Region: Belarus]112007Mogilev [Region: Belarus]112097Foreign country [Region: Belarus]112098Unknown [Region: Belarus]112099NIU (not in universe) [Region: Belarus]204001Alibori [Department: Benin]204002Atacora [Department: Benin]204003Atlantique [Department: Benin]204004Borgou [Department: Benin]204005Collines [Department: Benin]204006Couffo [Department: Benin]204007Donga [Department: Benin]204008Littoral [Department: Benin]204009Mono [Department: Benin]204010Oueme [Department: Benin]204011Plateau [Department: Benin]204012Zou [Department: Benin]204097Abroad [Department: Benin]204098Unknown [Department: Benin]204099NIU (not in universe) [Department: Benin]076011Rondônia [State: Brazil]076012Acre [State: Brazil]076013Amazonas [State: Brazil]076014Roraima [State: Brazil]076015Pará [State: Brazil]076016Amapá [State: Brazil]076021Maranhão [State: Brazil]076022Piauí [State: Brazil]076023Ceará [State: Brazil]076024Rio Grande do Norte [State: Brazil]076025Paraíba [State: Brazil]076026Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil]076027Alagoas [State: Brazil]076028Sergipe [State: Brazil]076029Bahia [State: Brazil]076031Minas Gerais [State: Brazil]076032Espírito Santo [State: Brazil]076033Rio de Janeiro, Guanabara [State: Brazil]076035São Paulo [State: Brazil]076036Serra dos Aimorés [State: Brazil]076041Paraná [State: Brazil]076042Santa Catarina [State: Brazil]076043Rio Grande do Sul [State: Brazil]076051Mato Grosso do Sul, Mato Grosso [State: Brazil]076052Goiás, Tocantins [State: Brazil]076053Distrito Federal [State: Brazil]076054Brazil, unspecified [State: Brazil]076097Abroad [State: Brazil]076098Unknown [State: Brazil]076099NIU (not in universe) [State: Brazil]116001Banteay Meanchey [Province: Cambodia]116002Battambang [Province: Cambodia]116003Kampong Cham, Tbong Khmum [Province: Cambodia]116004Kampong Chhnang [Province: Cambodia]116005Kampong Speu [Province: Cambodia]116006Kampong Thom [Province: Cambodia]116007Kampot [Province: Cambodia]116008Phnom Penh, Kandal [Province: Cambodia]116009Koh Kong, Preah Sihanouk [Province: Cambodia]116010Kratie [Province: Cambodia]116011Mondul Kiri [Province: Cambodia]116013Preah Vihear [Province: Cambodia]116014Prey Veng [Province: Cambodia]116015Pursat [Province: Cambodia]116016Ratanak Kiri [Province: Cambodia]116017Siem Reap, Otdar Meanchey [Province: Cambodia]116019Stung Treng [Province: Cambodia]116020Svay Rieng [Province: Cambodia]116021Takeo [Province: Cambodia]116023Kep [Province: Cambodia]116024Pailin [Province: Cambodia]116097Foreign country [Province: Cambodia]116098Unknown [Province: Cambodia]116099NIU (not in universe) [Province: Cambodia]120002Centre, Sud [Province: Cameroon]120003Est [Province: Cameroon]120004Nord, Adamoua, Extrème Nord [Province: Cameroon]120005Littoral [Province: Cameroon]120007Nord Ouest [Province: Cameroon]120008Ouest [Province: Cameroon]120010Sud Ouest [Province: Cameroon]120096Cameroon - unknown arrondissement [Province: Cameroon]120097Foreign country [Province: Cameroon]120098Unknown [Province: Cameroon]120099NIU (not in universe) [Province: Cameroon]152001Tarapaca [Province: Chile]152002Antofagasta [Province: Chile]152003Atacama [Province: Chile]152004Coquimbo [Province: Chile]152005Aconcagua [Province: Chile]152006Valparaíso [Province: Chile]152007Santiago [Province: Chile]152008O'Higgins [Province: Chile]152009Colchagua [Province: Chile]152010Curicó [Province: Chile]152011Talca [Province: Chile]152012Maule [Province: Chile]152013Linares [Province: Chile]152014Ñuble [Province: Chile]152015Concepción [Province: Chile]152016Arauco [Province: Chile]152017Bío Bío [Province: Chile]152018Malleco [Province: Chile]152019Cautín [Province: Chile]152020Valdivia [Province: Chile]152021Osorno [Province: Chile]152022Llanquihue [Province: Chile]152023Chiloé [Province: Chile]152024Aysén [Province: Chile]152025Magallanes [Province: Chile]152097Foreign country [Province: Chile]152098Unknown [Province: Chile]152099NIU (not in universe) [Province: Chile]170005Antioquia [Department: Colombia]170008Atlántico [Department: Colombia]170011Bogotá D.C., Cundinamarca [Department: Colombia]170013Bolívar, Sucre [Department: Colombia]170015Boyacá, Casanare [Department: Colombia]170018Caquetá [Department: Colombia]170019Cauca [Department: Colombia]170023Córdoba [Department: Colombia]170027Chocó [Department: Colombia]170041Huila [Department: Colombia]170044La Guajira [Department: Colombia]170050Meta [Department: Colombia]170052Nariño [Department: Colombia]170054Cesar, Norte De Santander, Magdalena [Department: Colombia]170066Caldas, Quindío, Risaralda [Department: Colombia]170068Santander [Department: Colombia]170073Tolima [Department: Colombia]170076Valle Del Cauca [Department: Colombia]170081Arauca [Department: Colombia]170086Putumayo [Department: Colombia]170088Archipiélago De San Andrés Y Providencia [Department: Colombia]170095Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia]170097Abroad [Department: Colombia]170098Unknown [Department: Colombia]188001San José [Province: Costa Rica]188002Alajuela [Province: Costa Rica]188003Cartago [Province: Costa Rica]188004Heredia [Province: Costa Rica]188005Guanacaste [Province: Costa Rica]188006Puntarenas [Province: Costa Rica]188007Limón [Province: Costa Rica]188097Foreign country [Province: Costa Rica]188098Unknown [Province: Costa Rica]192021Pinar del Río, Artemisa, Mayabeque [Province: Cuba]192023La Habana [Province: Cuba]192025Matanzas [Province: Cuba]192026Villa Clara [Province: Cuba]192027Cienfuegos [Province: Cuba]192028Sancti Spíritus [Province: Cuba]192029Ciego de Ávila [Province: Cuba]192030Camagüey [Province: Cuba]192031Las Tunas [Province: Cuba]192032Holguín [Province: Cuba]192033Granma [Province: Cuba]192034Santiago de Cuba [Province: Cuba]192035Guantánamo [Province: Cuba]192040Isla de la Juventud [Province: Cuba]192997Abroad [Province: Cuba]192998Unknown [Province: Cuba]192999NIU (not in universe) [Province: Cuba]218001Azuay [Province: Ecuador]218002Bolívar [Province: Ecuador]218004Carchi [Province: Ecuador]218005Cotopaxi [Province: Ecuador]218006Chimborazo [Province: Ecuador]218007El Oro [Province: Ecuador]218009Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador]218010Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador]218011Loja [Province: Ecuador]218014Morona Santiago [Province: Ecuador]218016Pastaza [Province: Ecuador]218018Tungurahua [Province: Ecuador]218019Zamora Chinchipe [Province: Ecuador]218021Napo, Orellana, Sucumbíos [Province: Ecuador]218097Foreign country [Province: Ecuador]218098Unknown and Disputed Zones [Province: Ecuador]218999NIU (not in universe) [Province: Ecuador]818000Reported same governorate as household location [Governorate: Egypt]818001Giza, 6th October City, Cairo, Helwan [Governorate: Egypt]818002Alexandria [Governorate: Egypt]818003Port Said [Governorate: Egypt]818004Suez [Governorate: Egypt]818011Demietta [Governorate: Egypt]818012Dakahlia [Governorate: Egypt]818013Sharkia [Governorate: Egypt]818014Kaliobia [Governorate: Egypt]818015Kafr Sheikh [Governorate: Egypt]818016Gharbia [Governorate: Egypt]818018Menoufia, Behera [Governorate: Egypt]818019Ismailia [Governorate: Egypt]818022Bani Swif [Governorate: Egypt]818023Fayoum [Governorate: Egypt]818024Menia [Governorate: Egypt]818025Asiut [Governorate: Egypt]818026Sohag [Governorate: Egypt]818027Qena, Luxor [Governorate: Egypt]818028Aswan [Governorate: Egypt]818031Red Sea [Governorate: Egypt]818032New Valley [Governorate: Egypt]818033Marsa Matroh [Governorate: Egypt]818034North Sinai [Governorate: Egypt]818035South Sinai [Governorate: Egypt]818097Abroad [Governorate: Egypt]818098Unknown [Governorate: Egypt]818099NIU (not in universe) [Governorate: Egypt]222001Ahuachapán [Department: El Salvador]222002Santa Ana [Department: El Salvador]222003Sonsonate [Department: El Salvador]222004Chalatenango [Department: El Salvador]222005La Libertad [Department: El Salvador]222006San Salvador [Department: El Salvador]222007Cuscatlán [Department: El Salvador]222008La Paz [Department: El Salvador]222009Cabañas [Department: El Salvador]222010San Vicente [Department: El Salvador]222011Usulután [Department: El Salvador]222012San Miguel [Department: El Salvador]222013Morazán [Department: El Salvador]222014La Unión [Department: El Salvador]222098Abroad [Department: El Salvador]222099NIU (not in universe) [Department: El Salvador]231001Tigray [Region: Ethiopia]231002Affar [Region: Ethiopia]231003Amhara [Region: Ethiopia]231004Oromia, Somali [Region: Ethiopia]231006Benishangul-Gumuz [Region: Ethiopia]231007Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia]231012Gambela [Region: Ethiopia]231013Harari [Region: Ethiopia]231014Addis Ababa [Region: Ethiopia]231015Dire Dawa [Region: Ethiopia]231097Abroad [Region: Ethiopia]231099NIU [Region: Ethiopia]250001Guadeloupe [Region: France]250002Martinique [Region: France]250003French Guyana [Region: France]250004Réunion Island [Region: France]250011Île-de-France [Region: France]250021Champagne-Ardenne [Region: France]250022Picardy [Region: France]250023Upper Normandy [Region: France]250024Centre [Region: France]250025Lower Normandy [Region: France]250026Burgundy [Region: France]250031North Pas-de-Calais [Region: France]250041Lorraine [Region: France]250042Alsace [Region: France]250043Franche-Comté [Region: France]250052Loire Valley [Region: France]250053Brittany [Region: France]250054Poitou-Charentes [Region: France]250072Aquitaine [Region: France]250073Midi-Pyrénées [Region: France]250074Limousin [Region: France]250082Rhône-Alpes [Region: France]250083Auvergne [Region: France]250091Languedoc-Roussillon [Region: France]250093Provence-Alpes-Riviera [Region: France]250094Corsica [Region: France]250097Abroad [Region: France]320001Guatemala [Department: Guatemala]320002El Progreso [Department: Guatemala]320003Sacatepéquez [Department: Guatemala]320004Chimaltenango [Department: Guatemala]320005Escuintla [Department: Guatemala]320006Santa Rosa [Department: Guatemala]320007Sololá [Department: Guatemala]320008Totonicapán [Department: Guatemala]320009Quetzaltenango [Department: Guatemala]320010Suchitepéquez [Department: Guatemala]320011Retalhuleu [Department: Guatemala]320012San Marcos [Department: Guatemala]320013Huehuetenango [Department: Guatemala]320014Quiché [Department: Guatemala]320015Baja Verapaz [Department: Guatemala]320016Alta Verapaz [Department: Guatemala]320017Petén [Department: Guatemala]320018Izabal [Department: Guatemala]320019Zacapa [Department: Guatemala]320020Chiquimula [Department: Guatemala]320021Jalapa [Department: Guatemala]320022Jutiapa [Department: Guatemala]320097Foreign Country [Department: Guatemala]320098Unknown [Department: Guatemala]320099NIU [Department: Guatemala]324011Boffa [Region: Guinea]324012Boké [Region: Guinea]324013Fria [Region: Guinea]324014Gaoual [Region: Guinea]324015Koundara [Region: Guinea]324021Conakry [Region: Guinea]324031Dabola [Region: Guinea]324032Dinguiraye [Region: Guinea]324033Faranah [Region: Guinea]324034Kissidougou [Region: Guinea]324041Kankan [Region: Guinea]324042Kérouané [Region: Guinea]324043Kouroussa [Region: Guinea]324044Mandiana [Region: Guinea]324045Siguiri [Region: Guinea]324051Coyah, Dubréka [Region: Guinea]324053Forécariah [Region: Guinea]324054Kindia [Region: Guinea]324055Télimélé [Region: Guinea]324061Koubia [Region: Guinea]324062Labé [Region: Guinea]324063Lélouma [Region: Guinea]324064Mali [Region: Guinea]324065Tougué [Region: Guinea]324071Dalaba [Region: Guinea]324072Mamou [Region: Guinea]324073Pita [Region: Guinea]324081Beyla [Region: Guinea]324082Guéckédou [Region: Guinea]324083Lola [Region: Guinea]324084Macenta [Region: Guinea]324085Nzerekore [Region: Guinea]324086Yomou [Region: Guinea]324096Guinea, place unknown [Region: Guinea]324097Foreign country [Region: Guinea]324098Unknown [Region: Guinea]324099NIU (not in universe) [Region: Guinea]332003Nord (North) and Nord'est (North East) [Department: Haiti]332006Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]332007Grand'Anse, Nippes, Sud (South) [Department: Haiti]332009Nord'Ouest (North West) [Department: Haiti]332097Foreign Country [Department: Haiti]332098Unknown [Department: Haiti]356001Jammu and Kashmir [State: India]356002Himachal Pradesh [State: India]356003Punjab [State: India]356004Chandigarh [State: India]356006Haryana [State: India]356007Delhi [State: India]356008Rajasthan [State: India]356009Uttar Pradesh, Uttaranchal [State: India]356010Bihar, Jharkhand [State: India]356011Sikkim [State: India]356012Arunachal Pradesh [State: India]356013Nagaland [State: India]356014Manipur [State: India]356015Mizoram [State: India]356016Tripura [State: India]356017Meghalaya [State: India]356018Assam [State: India]356019West Bengal [State: India]356021Orissa [State: India]356023Madhya Pradesh, Chhattisgarh [State: India]356024Gujarat [State: India]356026Dadra and Nagar Haveli [State: India]356027Maharashtra [State: India]356028Andhra Pradesh [State: India]356029Karnataka [State: India]356030Goa, Daman and Diu [State: India]356031Lakshadweep [State: India]356032Kerala [State: India]356033Tamil Nadu [State: India]356034Pondicherry [State: India]356035Andaman and Nicobar Islands [State: India]356097Abroad [State: India]356098Unknown [State: India]356099NIU (not in universe) [State: India]360011Nanggroe Aceh Darussalam [Province: Indonesia]360012Sumatera Utara [Province: Indonesia]360013Sumatera Barat [Province: Indonesia]360014Kepulauan Riau, Riau [Province: Indonesia]360015Jambi [Province: Indonesia]360016Bangka Belitung, Sumatera Selatan [Province: Indonesia]360017Bengkulu [Province: Indonesia]360018Lampung [Province: Indonesia]360031DKI Jakarta [Province: Indonesia]360032Banten, Jawa Barat [Province: Indonesia]360033Jawa Tengah [Province: Indonesia]360034DKI Yogyakarta [Province: Indonesia]360035Jawa Timur [Province: Indonesia]360051Bali [Province: Indonesia]360052Nusa Tenggara Barat [Province: Indonesia]360053Nusa Tenggara Timur [Province: Indonesia]360061Kalimantan Barat [Province: Indonesia]360062Kalimantan Tengah [Province: Indonesia]360063Kalimantan Selatan [Province: Indonesia]360064Kalimantan Timur [Province: Indonesia]360071Gorontalo, Sulawesi Utara [Province: Indonesia]360072Sulawesi Tengah [Province: Indonesia]360073Sulawesi Barat, Sulawesi Selatan [Province: Indonesia]360074Sulawesi Tenggara [Province: Indonesia]360081Maluku, Maluku Utara [Province: Indonesia]360094Papua, Papua Barat [Province: Indonesia]360097Abroad [Province: Indonesia]360098Unknown [Province: Indonesia]360099NIU (not in universe) [Province: Indonesia]360626East Timor [Province: Indonesia]364000Markazi [Province: Iran]364001Gilan [Province: Iran]364002Mazandaran [Province: Iran]364003East Azarbayejan [Province: Iran]364004West Azarbayejan [Province: Iran]364005Kermanshah [Province: Iran]364006Khuzestan [Province: Iran]364007Fars [Province: Iran]364008Kerman [Province: Iran]364009Razavi Khorasan [Province: Iran]364010Esfahan [Province: Iran]364011Sistan and Baluchestan [Province: Iran]364012Kordestan [Province: Iran]364013Hamedan [Province: Iran]364014Chaharmahal and Bakhtiyari [Province: Iran]364015Lorestan [Province: Iran]364016Ilam [Province: Iran]364017Kohgiluyeh and Boyerahmad [Province: Iran]364018Bushehr [Province: Iran]364019Zanjan [Province: Iran]364020Semnan [Province: Iran]364021Yazd [Province: Iran]364022Hormozgan [Province: Iran]364023Tehran, Alborz [Province: Iran]364024Ardebil [Province: Iran]364025Qom [Province: Iran]364026Qazvin [Province: Iran]364027Golestan [Province: Iran]364028North Khorasan [Province: Iran]364029South Khorasan [Province: Iran]364098Unknown [Province: Iran]364099NIU (not in universe) [Province: Iran]368000Always lived in residential place of birth [Governorate: Iraq]368001In this governorate [Governorate: Iraq]368011Dahuk [Governorate: Iraq]368012Nineveh [Governorate: Iraq]368013Sulaymaniyah [Governorate: Iraq]368014Al-Tameem [Governorate: Iraq]368015Erbil [Governorate: Iraq]368021Diala [Governorate: Iraq]368022Al-Anbar [Governorate: Iraq]368023Baghdad [Governorate: Iraq]368024Babylon [Governorate: Iraq]368025Kerbela [Governorate: Iraq]368026Wasit [Governorate: Iraq]368027Salah Al-Deen [Governorate: Iraq]368028Al-Najaf [Governorate: Iraq]368031Al-Qadisiya [Governorate: Iraq]368032Al-Muthanna [Governorate: Iraq]368033Thi-Qar [Governorate: Iraq]368034Maysan [Governorate: Iraq]368035Al-Basrah [Governorate: Iraq]368097Other countries [Governorate: Iraq]368098Unknown [Governorate: Iraq]388001Kingston [Parish: Jamaica]388002Saint Andrew [Parish: Jamaica]388003Saint Thomas [Parish: Jamaica]388004Portland [Parish: Jamaica]388005Saint Mary [Parish: Jamaica]388006Saint Ann [Parish: Jamaica]388007Trelawny [Parish: Jamaica]388008Saint James [Parish: Jamaica]388009Hanover [Parish: Jamaica]388010Westmoreland [Parish: Jamaica]388011Saint Elizabeth [Parish: Jamaica]388012Manchester [Parish: Jamaica]388013Clarendon [Parish: Jamaica]388014Saint Catherine [Parish: Jamaica]388098Unknown [Parish: Jamaica]388099NIU (Not in universe) [Parish: Jamaica]400011Amman [Governorate: Jordan]400012Balqa [Governorate: Jordan]400013Zarqa [Governorate: Jordan]400014Madaba [Governorate: Jordan]400021Irbid [Governorate: Jordan]400022Mafraq [Governorate: Jordan]400023Jarash [Governorate: Jordan]400024Ajlun [Governorate: Jordan]400031Karak [Governorate: Jordan]400032Tafilah [Governorate: Jordan]400033Ma'an [Governorate: Jordan]400034Aqaba [Governorate: Jordan]400997Foreign Country [Governorate: Jordan]400998Unknown [Governorate: Jordan]404001Nairobi [Province: Kenya]404002Central [Province: Kenya]404003Coast [Province: Kenya]404004Eastern [Province: Kenya]404005Northeastern [Province: Kenya]404006Nyanza [Province: Kenya]404007Rift Valley [Province: Kenya]404008Western [Province: Kenya]404097Abroad [Province: Kenya]404098Unknown [Province: Kenya]404099NIU (not in universe) [Province: Kenya]417001Bishkek [Region: Kyrgyz Republic]417002Issyk-Kul region [Region: Kyrgyz Republic]417003Dzhalal-Abad region [Region: Kyrgyz Republic]417004Naryn region [Region: Kyrgyz Republic]417005Batken region [Region: Kyrgyz Republic]417006Oshskaya region, City of Osh [Region: Kyrgyz Republic]417007Talasskaya region [Region: Kyrgyz Republic]417008Chuya region [Region: Kyrgyz Republic]417096Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic]417097Foreign country [Region: Kyrgyz Republic]417098Unknown [Region: Kyrgyz Republic]417099NIU (not in universe) [Region: Kyrgyz Republic]418001Vientiane Capital [Province: Laos]418002Phongsaly [Province: Laos]418003Luangnamtha [Province: Laos]418004Oudomxay [Province: Laos]418005Bokeo [Province: Laos]418006Luangprabang [Province: Laos]418007Huaphanh [Province: Laos]418008Xayaboury [Province: Laos]418009Xienkhuang [Province: Laos]418010Vientiane Province [Province: Laos]418011Borikhamxay [Province: Laos]418012Khammuane [Province: Laos]418013Savanakhet [Province: Laos]418014Saravane [Province: Laos]418015Sekong [Province: Laos]418016Champasack [Province: Laos]418017Attapeu [Province: Laos]418018Xaysomboune [Province: Laos]418097Foreign Country [Province: Laos]418098Unknown [Province: Laos]418099NIU [Province: Laos]662003Castries city, Castries rural, Castries suburban [District: Saint Lucia]662009Choiseul, Laborie, Vieux-Fort [District: Saint Lucia]662010Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia]662012Dennery, Gros-Islet [District: Saint Lucia]662098Unknown [District: Saint Lucia]662099NIU [District: Saint Lucia]454101Chitipa [District: Malawi]454102Karonga [District: Malawi]454103Nkhata Bay, Likoma [District: Malawi]454104Rumphi [District: Malawi]454105Mzimba, Mzuzu city [District: Malawi]454201Kasungu [District: Malawi]454202Nkhotakota [District: Malawi]454203Ntchisi [District: Malawi]454204Dowa [District: Malawi]454205Salima [District: Malawi]454206Lilongwe, Lilongwe city [District: Malawi]454207Mchinji [District: Malawi]454208Dedza [District: Malawi]454209Ntcheu [District: Malawi]454301Mangochi [District: Malawi]454302Machinga [District: Malawi]454303Zomba, Zomba city [District: Malawi]454304Chiradzulu [District: Malawi]454305Blantyre, Blantyre city [District: Malawi]454307Thyolo [District: Malawi]454308Mulanje [District: Malawi]454309Phalombe [District: Malawi]454310Chikwawa [District: Malawi]454311Nsanje [District: Malawi]454312Balaka [District: Malawi]454313Mwanza, Neno [District: Malawi]454997Abroad [District: Malawi]454999NIU (not in universe) [District: Malawi]466001Kayes [Region: Mali]466002Koulikoro [Region: Mali]466003Sikasso [Region: Mali]466004Ségou [Region: Mali]466005Mopti [Region: Mali]466006Tombouctou [Region: Mali]466007Gao, Kidal [Region: Mali]466009Bamako [Region: Mali]466096Mali, province unspecified [Region: Mali]466097Foreign country [Region: Mali]466098Unknown [Region: Mali]466999NIU (not in universe) [Region: Mali]484001Aguascalientes [State: Mexico]484002Baja California [State: Mexico]484003Baja California Sur [State: Mexico]484004Campeche [State: Mexico]484005Coahuila de Zaragoza [State: Mexico]484006Colima [State: Mexico]484007Chiapas [State: Mexico]484008Chihuahua [State: Mexico]484009Distrito Federal [State: Mexico]484010Durango [State: Mexico]484011Guanajuato [State: Mexico]484012Guerrero [State: Mexico]484013Hidalgo [State: Mexico]484014Jalisco [State: Mexico]484015México [State: Mexico]484016Michoacán de Ocampo [State: Mexico]484017Morelos [State: Mexico]484018Nayarit [State: Mexico]484019Nuevo León [State: Mexico]484020Oaxaca [State: Mexico]484021Puebla [State: Mexico]484022Querétaro [State: Mexico]484023Quintana Roo [State: Mexico]484024San Luis Potosí [State: Mexico]484025Sinaloa [State: Mexico]484026Sonora [State: Mexico]484027Tabasco [State: Mexico]484028Tamaulipas [State: Mexico]484029Tlaxcala [State: Mexico]484030Veracruz de Ignacio de la Llave [State: Mexico]484031Yucatán [State: Mexico]484032Zacatecas [State: Mexico]484097Abroad [State: Mexico]484098Unknown [State: Mexico]484099NIU (not in universe) [State: Mexico]496001Arkhangai [Province: Mongolia]496002Bayan-Olgii [Province: Mongolia]496003Bayankhongor [Province: Mongolia]496004Bulgan [Province: Mongolia]496005Govi-Altai [Province: Mongolia]496006Dornogovi, Govisumber [Province: Mongolia]496007Dornod [Province: Mongolia]496008Dundgovi [Province: Mongolia]496009Zavkhan [Province: Mongolia]496010Ovorkhangai [Province: Mongolia]496011Omnogovi [Province: Mongolia]496012Sukhbaatar [Province: Mongolia]496013Selenge [Province: Mongolia]496014Tov [Province: Mongolia]496015Uvs [Province: Mongolia]496016Khovd [Province: Mongolia]496017Khovsgol [Province: Mongolia]496018Khentii [Province: Mongolia]496019Darkhan-Uul [Province: Mongolia]496020Ulaanbaatar [Province: Mongolia]496021Orkhon [Province: Mongolia]496097Abroad [Province: Mongolia]496099NIU (not in universe) [Province: Mongolia]104001Kachin [State: Myanmar]104002Kayah [State: Myanmar]104003Kayin [State: Myanmar]104004Chin [State: Myanmar]104005Sagaing [State: Myanmar]104006Tanintharyi [State: Myanmar]104007Bago [State: Myanmar]104008Magway [State: Myanmar]104009Mandalay [State: Myanmar]104010Mon [State: Myanmar]104011Rakhine [State: Myanmar]104012Yangon [State: Myanmar]104013Shan [State: Myanmar]104014Ayeyawady [State: Myanmar]104015Nay Pyi Taw [State: Myanmar]104097Abroad [State: Myanmar]104099NIU [State: Myanmar]591002Coclé [Province: Panama]591003Colón, Comarca Kuna Yala (San Blas) [Province: Panama]591004Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]591005Comarca Emberá, Darién [Province: Panama]591006Herrera [Province: Panama]591007Los Santos [Province: Panama]591008Panamá [Province: Panama]591009Unknown district in Panamá province [Province: Panama]591097Foreign country [Province: Panama]591098Unknown [Province: Panama]591099NIU (not in universe) [Province: Panama]608001Abra [Province: Philippines]608002Agusan del norte [Province: Philippines]608003Agusan del sur [Province: Philippines]608004Aklan [Province: Philippines]608005Albay [Province: Philippines]608006Antique [Province: Philippines]608007Basilan, City Of Isabela [Province: Philippines]608008Bataan [Province: Philippines]608010Batangas [Province: Philippines]608011Benguet [Province: Philippines]608012Bohol [Province: Philippines]608013Bukidnon [Province: Philippines]608014Bulacan [Province: Philippines]608015Cagayan, Batanes [Province: Philippines]608016Camarines norte [Province: Philippines]608017Camarines Sur [Province: Philippines]608018Camiguin [Province: Philippines]608019Capiz [Province: Philippines]608020Catanduanes [Province: Philippines]608021Cavite [Province: Philippines]608022Cebu [Province: Philippines]608023Davao (Davao del Norte) [Province: Philippines]608024Davao del Sur, Davao Occidental [Province: Philippines]608025Davao Oriental [Province: Philippines]608026Eastern Samar [Province: Philippines]608027Ifugao [Province: Philippines]608028Ilocos Norte [Province: Philippines]608029Ilocos Sur [Province: Philippines]608030Iloilo, Guimaras [Province: Philippines]608031Isabela [Province: Philippines]608032Kalinga-Apayao, Apayo, Kalinga [Province: Philippines]608033La Union [Province: Philippines]608034Laguna [Province: Philippines]608035Lanao del Norte [Province: Philippines]608036Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines]608037Leyte, Biliran [Province: Philippines]608039Manila [Province: Philippines]608040Marinduque [Province: Philippines]608041Masbate [Province: Philippines]608042Misamis Occidental [Province: Philippines]608043Misamis Oriental [Province: Philippines]608044Mountain Province [Province: Philippines]608045Negros Occidental [Province: Philippines]608046Negros Oriental [Province: Philippines]608047Cotabato (North Cotabato) [Province: Philippines]608048Northern Samar [Province: Philippines]608049Nueva Ecija [Province: Philippines]608050Nueva Vizcaya [Province: Philippines]608051Occidental Mindoro [Province: Philippines]608052Oriental Mindoro [Province: Philippines]608053Palawan [Province: Philippines]608054Pampanga [Province: Philippines]608055Pangasinan [Province: Philippines]608056Quezon [Province: Philippines]608057Quirino [Province: Philippines]608058Rizal [Province: Philippines]608059Romblon [Province: Philippines]608060Samar (Western Samar) [Province: Philippines]608061Siquijor [Province: Philippines]608062Sorsogon [Province: Philippines]608063South Cotabato, Sarangani [Province: Philippines]608064Southern Leyte [Province: Philippines]608065Sultan Kudarat [Province: Philippines]608066Sulu [Province: Philippines]608067Surigao Del Norte, Dinagat islands [Province: Philippines]608068Surigao del Sur [Province: Philippines]608069Tarlac [Province: Philippines]608070Tawi-Tawi [Province: Philippines]608071Zambales [Province: Philippines]608072Zamboanga Norte [Province: Philippines]608073Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines]608074Manila Metro, 2nd District [Province: Philippines]608075Manila Metro, 3rd District [Province: Philippines]608076Manila Metro, 4th District [Province: Philippines]608077Aurora [Province: Philippines]608097Foreign country [Province: Philippines]608098Unknown [Province: Philippines]608099NIU (not in universe) [Province: Philippines]642001Alba [County: Romania]642002Arad [County: Romania]642003Arges [County: Romania]642004Bacau [County: Romania]642005Bihor [County: Romania]642006Bistrita Nasaud [County: Romania]642007Botosani [County: Romania]642008Brasov [County: Romania]642009Braila [County: Romania]642010Buzau [County: Romania]642011Caras Severin [County: Romania]642012Cluj [County: Romania]642013Constanta [County: Romania]642014Covasna [County: Romania]642015Dambovita [County: Romania]642016Dolj [County: Romania]642017Galati [County: Romania]642018Gorj [County: Romania]642019Harghita [County: Romania]642020Hunedoara [County: Romania]642022Iasi [County: Romania]642024Maramures [County: Romania]642025Mehedinti [County: Romania]642026Mures [County: Romania]642027Neamt [County: Romania]642028Olt [County: Romania]642029Prahova [County: Romania]642030Satu Mare [County: Romania]642031Salaj [County: Romania]642032Sibiu [County: Romania]642033Suceava [County: Romania]642034Teleorman [County: Romania]642035Timis [County: Romania]642036Tulcea [County: Romania]642037Vaslui [County: Romania]642038Valcea [County: Romania]642039Vrancea [County: Romania]642043Bucharest Sector 1 to 6 [County: Romania]642051Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]642097Foreign country [County: Romania]642098Unknown [County: Romania]642099NIU (not in universe) [County: Romania]646002Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda]646003Gitarama [Province: Rwanda]646004Butare [Province: Rwanda]646005Gikongoro [Province: Rwanda]646006Cyangugu [Province: Rwanda]646007Kibuye [Province: Rwanda]646008Gisenyi [Province: Rwanda]646009Ruhengeri [Province: Rwanda]646097Foreign Countries [Province: Rwanda]646098Unknown [Province: Rwanda]646099NIU [Province: Rwanda]705001Pomurska [Region: Slovenia]705002Podravska [Region: Slovenia]705003Koroška [Region: Slovenia]705004Savinjska [Region: Slovenia]705005Zasavska [Region: Slovenia]705006Spodnjeposavska [Region: Slovenia]705007Jugovzhodna Slovenija [Region: Slovenia]705008Osrednjeslovenska [Region: Slovenia]705009Gorenjska [Region: Slovenia]705010Notranjsko-kraška [Region: Slovenia]705011Goriška [Region: Slovenia]705012Obalno-kraška [Region: Slovenia]705097Abroad [Region: Slovenia]705999NIU (not in universe) [Region: Slovenia]710001Western Cape [Province: South Africa]710004Free State [Province: South Africa]710005Eastern Cape, KwaZulu-Natal [Province: South Africa]710007Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]710097Foreign country [Province: South Africa]710098Unknown [Province: South Africa]710099NIU (not in universe) [Province: South Africa]724011Galicia [Communities & autonomous city: Spain]724012Principado de Asturias [Communities & autonomous city: Spain]724013Cantabria [Communities & autonomous city: Spain]724021País Vasco [Communities & autonomous city: Spain]724022Comunidad Foral de Navarra [Communities & autonomous city: Spain]724023La Rioja [Communities & autonomous city: Spain]724024Aragón [Communities & autonomous city: Spain]724030Comunidad de Madrid [Communities & autonomous city: Spain]724041Castilla y León [Communities & autonomous city: Spain]724042Castilla-La Mancha [Communities & autonomous city: Spain]724043Extremadura [Communities & autonomous city: Spain]724051Cataluña [Communities & autonomous city: Spain]724052Comunidad Valenciana [Communities & autonomous city: Spain]724053Islas Baleares [Communities & autonomous city: Spain]724061Andalucía [Communities & autonomous city: Spain]724062Región de Murcia [Communities & autonomous city: Spain]724063Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain]724064Ciudad Autónoma de Melilla [Communities & autonomous city: Spain]724070Canarias [Communities & autonomous city: Spain]724097Abroad [Communities & autonomous city: Spain]724999NIU (not in universe) [Communities & autonomous city: Spain]740001Paramaribo [District: Suriname]740002Wanica [District: Suriname]740003Nickerie [District: Suriname]740005Saramacca, Coronie [District: Suriname]740006Marowijne, Commewijne [District: Suriname]740008Brokopondo, Para [District: Suriname]740010Sipaliwini [District: Suriname]740096Suriname, district unknown [District: Suriname]740097Foreign [District: Suriname]740098Unknown [District: Suriname]764010Bangkok [Province: Thailand]764011Samut Prakan [Province: Thailand]764012Nonthaburi [Province: Thailand]764013Pathum Thani [Province: Thailand]764014Phra Nakhon Si Ayutthaya [Province: Thailand]764015Ang Thong [Province: Thailand]764016Lop Buri [Province: Thailand]764017Sing Buri [Province: Thailand]764018Chai Nat [Province: Thailand]764019Sa Kaeo, Prachin Buri [Province: Thailand]764020Chon Buri [Province: Thailand]764021Rayong [Province: Thailand]764022Chanthaburi [Province: Thailand]764023Trat [Province: Thailand]764024Chachoengsao [Province: Thailand]764026Nakhon Nayok [Province: Thailand]764027Saraburi [Province: Thailand]764030Nakhon Ratchasima [Province: Thailand]764031Buri Ram [Province: Thailand]764032Surin [Province: Thailand]764033Si Sa Ket [Province: Thailand]764034Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand]764036Chaiyaphum [Province: Thailand]764039Nong Bua Lam Phu, Udon Thani [Province: Thailand]764040Khon Kaen [Province: Thailand]764042Loei [Province: Thailand]764043Nong Khai [Province: Thailand]764044Maha Sarakham [Province: Thailand]764045Roi Et [Province: Thailand]764046Kalasin [Province: Thailand]764047Sakon Nakhon [Province: Thailand]764048Nakhon Phanom, Mukdahan [Province: Thailand]764050Chiang Mai [Province: Thailand]764051Lamphun [Province: Thailand]764052Lampang [Province: Thailand]764053Uttaradit [Province: Thailand]764054Phrae [Province: Thailand]764055Nan [Province: Thailand]764057Phayao, Chiang Rai [Province: Thailand]764058Mae Hong Son [Province: Thailand]764060Nakhon Sawan [Province: Thailand]764061Uthai Thani [Province: Thailand]764062Kamphaeng Phet [Province: Thailand]764063Tak [Province: Thailand]764064Sukhothai [Province: Thailand]764065Phitsanulok [Province: Thailand]764066Phichit [Province: Thailand]764067Phetchabun [Province: Thailand]764070Ratchaburi [Province: Thailand]764071Kanchanaburi [Province: Thailand]764072Suphanburi [Province: Thailand]764073Nakhon Pathom [Province: Thailand]764074Samut Sakhon [Province: Thailand]764075Samut Songkhram [Province: Thailand]764076Phetchaburi [Province: Thailand]764077Prachuap Khiri Khan [Province: Thailand]764080Nakhon Si Thammarat [Province: Thailand]764082Phangnga [Province: Thailand]764083Phuket [Province: Thailand]764084Krabi, Surat Thani [Province: Thailand]764086Ranong, Chumphon [Province: Thailand]764090Songkhla [Province: Thailand]764091Satun [Province: Thailand]764092Trang [Province: Thailand]764093Phatthalung [Province: Thailand]764094Pattani [Province: Thailand]764095Yala [Province: Thailand]764096Narathiwat [Province: Thailand]764097Same province [Province: Thailand]764098Unknown province, but within Thaliand [Province: Thailand]764997Abroad [Province: Thailand]764998Unknown [Province: Thailand]764999NIU (not in universe) [Province: Thailand]768001Maritime, Lomé [Region: Togo]768002Plateaux, Centrale, Kara [Region: Togo]768003Savanes [Region: Togo]768097Foreign Country [Region: Togo]768098Unknown [Region: Togo]768099NIU [Region: Togo]780010Port of Spain [Region: Trinidad and Tobago]780020San Fernando [Region: Trinidad and Tobago]780080Diego 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]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]780094St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago]780098Unknown [Region: Trinidad and Tobago]800101Kalangala [District: Uganda]800102Kampala [District: Uganda]800103Kiboga, Kyankwanzi [District: Uganda]800104Luwero, Nakasongola, Nakaseke [District: Uganda]800105Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda]800106Mpigi, Wakiso, Butambala, Gomba [District: Uganda]800107Mubende, Mityana [District: Uganda]800108Mukono, Kayunga, Buikwe, Buvuma [District: Uganda]800110Rakai, Lyantonde [District: Uganda]800201Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda]800202Busia, Tororo, Butaleja [District: Uganda]800204Jinja [District: Uganda]800205Kamuli, Kaliro, Buyende [District: Uganda]800206Kapchorwa, Bukwo, Kween [District: Uganda]800207Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda]800208Kumi, Bukedea, Ngora [District: Uganda]800209Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda]800210Pallisa, Budaka, Kibuku [District: Uganda]800301Adjumani, Moyo [District: Uganda]800302Apac, Oyam, Kole [District: Uganda]800303Arua, Yumbe, Koboko, Maracha [District: Uganda]800304Gulu, Amuru, Nwoya, Omoro [District: Uganda]800305Kitgum, Pader, Agago, Lamwo [District: Uganda]800306Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda]800307Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda]800310Nebbi, Zombo [District: Uganda]800401Bundibugyo, Ntoroko [District: Uganda]800402Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda]800403Hoima [District: Uganda]800404Kabale, Rubanda [District: Uganda]800405Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda]800406Kasese [District: Uganda]800407Kibaale, Kagadi, Kakumiro [District: Uganda]800408Kisoro [District: Uganda]800409Masindi, Buliisa, Kiryandongo [District: Uganda]800412Rukungiri, Kanungu [District: Uganda]800096Visitor [District: Uganda]800097Foreign country [District: Uganda]800098Unknown [District: Uganda]804001The Autonomous Republic of Crimea [Region: Ukraine]804005Vinnytska oblast [Region: Ukraine]804007Volynska oblast [Region: Ukraine]804012Dnipropetrovska oblast [Region: Ukraine]804014Donetska oblast [Region: Ukraine]804018Zhytomyrska oblast [Region: Ukraine]804021Zakarpatska oblast [Region: Ukraine]804023Zaporizka oblast [Region: Ukraine]804026Ivano-Frankivska oblast [Region: Ukraine]804032Kyivska oblast [Region: Ukraine]804035Kirovohradska oblast [Region: Ukraine]804044Luhanska oblast [Region: Ukraine]804046Lvivska oblast [Region: Ukraine]804048Mykolaivska oblast [Region: Ukraine]804051Odeska oblast [Region: Ukraine]804053Poltavska oblast [Region: Ukraine]804056Rivnenska oblast [Region: Ukraine]804059Sumska oblast [Region: Ukraine]804061Ternopilska oblast [Region: Ukraine]804063Kharkivska oblast [Region: Ukraine]804065Khersonska oblast [Region: Ukraine]804068Khmelnytska oblast [Region: Ukraine]804071Cherkaska oblast [Region: Ukraine]804073Chernivetska oblast [Region: Ukraine]804074Chernihivska oblast [Region: Ukraine]804080Kyiv (independent city) [Region: Ukraine]804085Sevastopol (independent city) [Region: Ukraine]804097Foreign country [Region: Ukraine]804098Unknown [Region: Ukraine]804099NIU (not in universe) [Region: Ukraine]858001Montevideo [Department: Uruguay]858002Artigas [Department: Uruguay]858003Canelones [Department: Uruguay]858004Cerro Largo [Department: Uruguay]858005Colonia [Department: Uruguay]858006Durazno [Department: Uruguay]858007Flores [Department: Uruguay]858008Florida [Department: Uruguay]858009Lavalleja [Department: Uruguay]858010Maldonado [Department: Uruguay]858011Paysandú [Department: Uruguay]858012Río Negro [Department: Uruguay]858013Rivera [Department: Uruguay]858014Rocha [Department: Uruguay]858015Salto [Department: Uruguay]858016San Jose [Department: Uruguay]858017Soriano [Department: Uruguay]858018Tacuarembó [Department: Uruguay]858019Treinta Y Tres [Department: Uruguay]858097Abroad [Department: Uruguay]858098Unknown [Department: Uruguay]858999NIU (not in universe) [Department: Uruguay]862001Federal District, Vargas [State: Venezuela]862002Amazonas Federal Territory [State: Venezuela]862003Anzoátegui [State: Venezuela]862004Apure [State: Venezuela]862005Aragua [State: Venezuela]862007Bolívar [State: Venezuela]862008Carabobo [State: Venezuela]862009Cojedes [State: Venezuela]862010Amacuros Delta Federal Territory [State: Venezuela]862011Falcón [State: Venezuela]862012Guárico [State: Venezuela]862013Lara [State: Venezuela]862014Barinas, Mérida [State: Venezuela]862015Miranda [State: Venezuela]862016Monagas [State: Venezuela]862017Nueva Esparta, Federal Dependencies [State: Venezuela]862018Portuguesa [State: Venezuela]862019Sucre [State: Venezuela]862020Táchira [State: Venezuela]862021Trujillo [State: Venezuela]862022Yaracuy [State: Venezuela]862023Zulia [State: Venezuela]862097Foreign country [State: Venezuela]862098Unknown [State: Venezuela]862099NIU (not in universe) [State: Venezuela]Migration: Global Variables -- PERSON1st subnational geographic level of residence 10 years prior to survey, world [consistent boundaries over time]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.368001In residential place of birth [Governorate: Iraq]368002In current governate [Governorate: Iraq]368011Dahuk [Governorate: Iraq]368012Nineveh [Governorate: Iraq]368013Sulaymaniyah [Governorate: Iraq]368014Al-Tameem [Governorate: Iraq]368015Erbil [Governorate: Iraq]368021Diala [Governorate: Iraq]368022Al-Anbar [Governorate: Iraq]368023Baghdad [Governorate: Iraq]368024Babylon [Governorate: Iraq]368025Kerbela [Governorate: Iraq]368026Wasit [Governorate: Iraq]368027Salah Al-Deen [Governorate: Iraq]368028Al-Najaf [Governorate: Iraq]368031Al-Qadisiya [Governorate: Iraq]368032Al-Muthanna [Governorate: Iraq]368033Thi-Qar [Governorate: Iraq]368034Maysan [Governorate: Iraq]368035Al-Basrah [Governorate: Iraq]368097Other countries [Governorate: Iraq]368098Unknown [Governorate: Iraq]368099NIU (not in universe) [Governorate: Iraq]418001Vientiane Capital [Province: Laos]418002Phongsaly [Province: Laos]418003Luangnamtha [Province: Laos]418004Oudomxay [Province: Laos]418005Bokeo [Province: Laos]418006Luangprabang [Province: Laos]418007Huaphanh [Province: Laos]418008Xayaboury [Province: Laos]418009Xienkhuang [Province: Laos]418010Vientiane Province [Province: Laos]418011Borikhamxay [Province: Laos]418012Khammuane [Province: Laos]418013Savanakhet [Province: Laos]418014Saravane [Province: Laos]418015Sekong [Province: Laos]418016Champasack [Province: Laos]418017Attapeu [Province: Laos]418018Xaysomboune [Province: Laos]418097Foreign Country [Province: Laos]418098Unknown [Province: Laos]418099NIU [Province: Laos]426001Butha Buthe [District: Lesotho]426002Leribe [District: Lesotho]426003Berea [District: Lesotho]426004Maseru [District: Lesotho]426005Mafeteng [District: Lesotho]426006Mohale's Hoek [District: Lesotho]426007Quthing [District: Lesotho]426008Qacha's Nek [District: Lesotho]426009Mokhotlong [District: Lesotho]426010Thaba-Tseka [District: Lesotho]426097Abroad [District: Lesotho]426099NIU [District: Lesotho]608001Abra [Province: Philippines]608002Agusan del norte [Province: Philippines]608003Agusan del sur [Province: Philippines]608004Aklan [Province: Philippines]608005Albay [Province: Philippines]608006Antique [Province: Philippines]608007Basilan, City Of Isabela [Province: Philippines]608008Bataan [Province: Philippines]608009Batanes [Province: Philippines]608010Batangas [Province: Philippines]608011Benguet [Province: Philippines]608012Bohol [Province: Philippines]608013Bukidnon [Province: Philippines]608014Bulacan [Province: Philippines]608015Cagayan, Batanes [Province: Philippines]608016Camarines norte [Province: Philippines]608017Camarines Sur [Province: Philippines]608018Camiguin [Province: Philippines]608019Capiz [Province: Philippines]608020Catanduanes [Province: Philippines]608021Cavite [Province: Philippines]608022Cebu [Province: Philippines]608023Davao (Davao del Norte) [Province: Philippines]608024Davao del Sur, Davao Occidental [Province: Philippines]608025Davao Oriental [Province: Philippines]608026Eastern Samar [Province: Philippines]608027Ifugao [Province: Philippines]608028Ilocos Norte [Province: Philippines]608029Ilocos Sur [Province: Philippines]608030Iloilo, Guimaras [Province: Philippines]608031Isabela [Province: Philippines]608032Kalinga-Apayao, Apayo, Kalinga [Province: Philippines]608033La Union [Province: Philippines]608034Laguna [Province: Philippines]608035Lanao del Norte [Province: Philippines]608036Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines]608037Leyte, Biliran [Province: Philippines]608039Manila [Province: Philippines]608040Marinduque [Province: Philippines]608041Masbate [Province: Philippines]608042Misamis Occidental [Province: Philippines]608043Misamis Oriental [Province: Philippines]608044Mountain Province [Province: Philippines]608045Negros Occidental [Province: Philippines]608046Negros Oriental [Province: Philippines]608047Cotabato (North Cotabato) [Province: Philippines]608048Northern Samar [Province: Philippines]608049Nueva Ecija [Province: Philippines]608050Nueva Vizcaya [Province: Philippines]608051Occidental Mindoro [Province: Philippines]608052Oriental Mindoro [Province: Philippines]608053Palawan [Province: Philippines]608054Pampanga [Province: Philippines]608055Pangasinan [Province: Philippines]608056Quezon [Province: Philippines]608057Quirino [Province: Philippines]608058Rizal [Province: Philippines]608059Romblon [Province: Philippines]608060Samar (Western Samar) [Province: Philippines]608061Siquijor [Province: Philippines]608062Sorsogon [Province: Philippines]608063South Cotabato, Sarangani [Province: Philippines]608064Southern Leyte [Province: Philippines]608065Sultan Kudarat [Province: Philippines]608066Sulu [Province: Philippines]608067Surigao Del Norte, Dinagat islands [Province: Philippines]608068Surigao del Sur [Province: Philippines]608069Tarlac [Province: Philippines]608070Tawi-Tawi [Province: Philippines]608071Zambales [Province: Philippines]608072Zamboanga Norte [Province: Philippines]608073Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines]608074Manila Metro, 2nd District [Province: Philippines]608075Manila Metro, 3rd District [Province: Philippines]608076Manila Metro, 4th District [Province: Philippines]608077Aurora [Province: Philippines]608097Foreign country [Province: Philippines]608098Unknown [Province: Philippines]608099NIU (not in universe) [Province: Philippines]686001Dakar [Region: Senegal]686002Ziguinchor [Region: Senegal]686003Diourbel [Region: Senegal]686004Saint Louis, Louga, Matam [Region: Senegal]686005Tambacounda, Kedougou [Region: Senegal]686006Kaolack, Fatick, Kaffrine [Region: Senegal]686007Thiès [Region: Senegal]686010Kolda, Sedhiou [Region: Senegal]686097Abroad [Region: Senegal]686099NIU (not in universe) [Region: Senegal]724011Galicia [Communities & autonomous city: Spain]724012Principado de Asturias [Communities & autonomous city: Spain]724013Cantabria [Communities & autonomous city: Spain]724021País Vasco [Communities & autonomous city: Spain]724022Comunidad Foral de Navarra [Communities & autonomous city: Spain]724023La Rioja [Communities & autonomous city: Spain]724024Aragón [Communities & autonomous city: Spain]724030Comunidad de Madrid [Communities & autonomous city: Spain]724041Castilla y León [Communities & autonomous city: Spain]724042Castilla-La Mancha [Communities & autonomous city: Spain]724043Extremadura [Communities & autonomous city: Spain]724051Cataluña [Communities & autonomous city: Spain]724052Comunidad Valenciana [Communities & autonomous city: Spain]724053Islas Baleares [Communities & autonomous city: Spain]724061Andalucía [Communities & autonomous city: Spain]724062Región de Murcia [Communities & autonomous city: Spain]724063Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain]724064Ciudad Autónoma de Melilla [Communities & autonomous city: Spain]724070Canarias [Communities & autonomous city: Spain]724090Other Spanish territories in 1970 [Communities & autonomous city: Spain]724097Foreign country [Communities & autonomous city: Spain]724098Unknown [Communities & autonomous city: Spain]724999NIU (not in universe) [Communities & autonomous city: Spain]780010Port of Spain [Region: Trinidad and Tobago]780020San Fernando [Region: Trinidad and Tobago]780080Diego 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]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]780094St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago]780098Unknown [Region: Trinidad and Tobago]780099NIU (not in universe) [Region: Trinidad and Tobago]834001Dodoma [Region: Tanzania]834002Arusha, Manyara [Region: Tanzania]834003Kilimanjaro [Region: Tanzania]834004Tanga [Region: Tanzania]834005Morogoro [Region: Tanzania]834006Pwani [Region: Tanzania]834007Dar es Salaam [Region: Tanzania]834008Lindi [Region: Tanzania]834009Mtwara [Region: Tanzania]834010Ruvuma [Region: Tanzania]834011Iringa, Njombe [Region: Tanzania]834012Mbeya [Region: Tanzania]834013Singida [Region: Tanzania]834014Tabora [Region: Tanzania]834015Katavi, Rukwa [Region: Tanzania]834016Kigoma [Region: Tanzania]834019Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania]834020Mara [Region: Tanzania]834051Zanzibar North [Region: Tanzania]834052Zanzibar South [Region: Tanzania]834053Zanzibar Town/West [Region: Tanzania]834054Pemba North [Region: Tanzania]834055Pemba South [Region: Tanzania]834097Abroad [Region: Tanzania]716000Bulawayo [Province: Zimbabwe]716001Manicaland [Province: Zimbabwe]716002Mashonaland Central [Province: Zimbabwe]716003Mashonaland East [Province: Zimbabwe]716004Mashonaland West [Province: Zimbabwe]716005Matabeleland North [Province: Zimbabwe]716006Matabeleland South [Province: Zimbabwe]716007Midlands [Province: Zimbabwe]716008Masvingo [Province: Zimbabwe]716009Harare [Province: Zimbabwe]716097Abroad [Province: Zimbabwe]716098Unknown [Province: Zimbabwe]716099NIU (Not in universe) [Province: Zimbabwe]Migration: Global Variables -- PERSONYears residing in current localityMIGYRS1 indicates how many years the person has resided in their current locality of residence.00Less than 1 year011 year (or 1 year or less)022 years03304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919292939394949595+ years96Less than 5 years97More than 5 years98Unknown99NIU (not in universe)Migration: Global Variables -- PERSONCommunities and Autonomous Cities of previous residence, Spain; consistent boundaries, GISMIG1_P_ES indicates the person's community or autonomous city of previous residence 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.724011Galicia724012Principado de Asturias724013Cantabria724021País Vasco724022Comunidad Foral de Navarra724023La Rioja724024Aragón724030Comunidad de Madrid724041Castilla y León724042Castilla-La Mancha724043Extremadura724051Cataluña724052Comunidad Valenciana724053Islas Baleares724061Andalucía724062Región de Murcia724063Ciudad Autónoma de Ceuta724064Ciudad Autónoma de Melilla724070Canarias724097Abroad724999NIU (not in universe)Migration: O-Z Variables -- PERSONCommunities and Autonomous Cities of residence 10 years ago, Spain; consistent boundaries, GISMIG1_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.724011Galicia724012Principado de Asturias724013Cantabria724021País Vasco724022Comunidad Foral de Navarra724023La Rioja724024Aragón724030Comunidad de Madrid724041Castilla y León724042Castilla-La Mancha724043Extremadura724051Cataluña724052Comunidad Valenciana724053Islas Baleares724061Andalucía724062Región de Murcia724063Ciudad Autónoma de Ceuta724064Ciudad Autónoma de Melilla724070Canarias724090Other Spanish territories in 1970724097Foreign country724098Unknown724999NIU (not in universe)Migration: O-Z Variables -- PERSONProvince of previous residence, Spain; consistent boundaries, GISMIG2_P_ES indicates the person's province of previous residence within Spain. The migration could have occurred at any time in the past. Migration province codes from MIG2_P_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.724011015A Coruña724011027Lugo724011032Ourense724011036Pontevedra724012033Asturias724013039Cantabria724021001Álava724021020Guipúzcoa724021048Vizcaya724022031Navarra724023026La Rioja724024022Huesca724024044Teruel724024050Zaragoza724030028Madrid724041005Ávila724041009Burgos724041024León724041034Palencia724041037Salamanca724041040Segovia724041042Soria724041047Valladolid724041049Zamora724042002Albacete724042013Ciudad Real724042016Cuenca724042019Guadalajara724042045Toledo724043006Badajoz724043010Cáceres724051008Barcelona724051017Girona724051025Lleida724051043Tarragona724052003Alicante/Alacant724052012Castellón/Castelló724052046Valencia/València724053007Islas Baleares724061004Almería724061011Cádiz724061014Córdoba724061018Granada724061021Huelva724061023Jaén724061029Málaga724061041Sevilla724062030Murcia724063051Ceuta724064052Melilla724070035Las Palmas724070038Santa Cruz de Tenerife727097097Abroad727099099NIU (not in universe)Migration: O-Z Variables -- PERSONProvince of residence 10 years ago, Spain; consistent boundaries, GISMIG2_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.724011015A Coruña724011027Lugo724011032Ourense724011036Pontevedra724012033Asturias724013039Cantabria724021001Álava724021020Guipúzcoa724021048Vizcaya724022031Navarra724023026La Rioja724024022Huesca724024044Teruel724024050Zaragoza724030028Madrid724041005Ávila724041009Burgos724041024León724041034Palencia724041037Salamanca724041040Segovia724041042Soria724041047Valladolid724041049Zamora724042002Albacete724042013Ciudad Real724042016Cuenca724042019Guadalajara724042045Toledo724043006Badajoz724043010Cáceres724051008Barcelona724051017Girona724051025Lleida724051043Tarragona724052003Alicante/Alacant724052012Castellón/Castelló724052046Valencia/València724053007Islas Baleares724061004Almería724061011Cádiz724061014Córdoba724061018Granada724061021Huelva724061023Jaén724061029Málaga724061041Sevilla724062030Murcia724063051Ceuta724064052Melilla724070035Las Palmas724070038Santa Cruz de Tenerife727097097Abroad727098098Unknown727099099NIU (not in universe)Migration: O-Z Variables -- PERSONEmployment disabilityDISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons.1Disabled2Not disabled8Unknown9NIU (not in universe)Disability Variables -- PERSONPerson number (within household)<svar a="all" v="ES01A003 ES01A401 ES01A402 ES01A403">_ _ Person<br />___ [Name]<br />Date of Birth:<br />_ _ / _ _ / _ _ _ _ day/month/year<br />If this person does not normally reside here, continue on to the next person.<br /></svar>Spain 2001: All personsThis variable indicates the person number (within household).00Household record011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030Technical Person Variables -- PERSONPerson numberSpain 2001: All personsThis variable indicates the final number of the respondent in the space.011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858586868787888889899090919192929393949495959696979798989999Technical Person Variables -- PERSONMonth of birth<svar a="all" v="ES01A003 ES01A401 ES01A402 ES01A403">_ _ Person<br />___ [Name]<br />Date of Birth:<br />_ _ / _ _ / _ _ _ _ day/month/year<br />If this person does not normally reside here, continue on to the next person.<br /></svar>Spain 2001: All personsThis variable indicates the respondent's month of birth.01January02February03March04April05May06June07July08August09September10October11November12DecemberDemographic Variables -- PERSONYear of birth<svar a="all" v="ES01A003 ES01A401 ES01A402 ES01A403">_ _ Person<br />___ [Name]<br />Date of Birth:<br />_ _ / _ _ / _ _ _ _ day/month/year<br />If this person does not normally reside here, continue on to the next person.<br /></svar>Spain 2001: All personsThis variable indicates the respondent's year of birth.18931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001Demographic Variables -- PERSONAge<svar a="all" v="ES01A003 ES01A401 ES01A402 ES01A403">_ _ Person<br />___ [Name]<br />Date of Birth:<br />_ _ / _ _ / _ _ _ _ day/month/year<br />If this person does not normally reside here, continue on to the next person.<br /></svar>Spain 2001: All personsThis variable indicates the respondent's age.0000001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100+Demographic Variables -- PERSONSex<svar a="all" v="ES01A404">Sex:<br /><div class="i1">[] Male<br />[] Female</div><br /></svar>Spain 2001: All personsThis variable indicates the respondent's sex.1Man2WomanDemographic Variables -- PERSONCountry of nationality<svar a="all" v="ES01A405">Country of nationality<br />_ _ _ _ _ _ _ _ _ _ _ _<br /></svar>Spain 2001: All personsThis variable indicates the code for the respondent's country of nationality.100Europe101Albania102Austria103Belgium104Bulgaria106Cyprus107Denmark108Spain109Finland110France111Greece112Hungary113Ireland114Iceland115Italy116Liechtenstein117Luxemburg118Malta119Monaco120Norway121Low Countries122Poland123Portugal124Andorra125United Kingdom126Germany128Rumania129San Marino130Vatican City131Sweden132Switzerland135Ukraine136Letonia137Moldova138Bielorrusia139Georgia141Estonia142Lithuania143Chek Republic144Slovakia145Bosnia-Herzegovina146Croacia147Slovenia148Armenia154Russia155Yugoslavia156Macedonia200Africa201Burkina Fasso202Angola203Argelia204Benin205Botswana206Burundi207Cabo Verde208Camerun209Comores210Congo211Ivory Coast212Djibouti213Egypt214Ethiopia215Gabon216Gambia217Ghana218Guinea219Guinea Bissau220Guinea Equatorial221Kenya222Lesotho223Liberia224Libya225Madagascar226Malawi227Mali228Morocco229Mauricio230Mauritania231Mozambique232Namibia233Niger234Nigeria235Republic of Central Africa236Sudafrica237Ruanda238Santo Tome Y Principe239Senegal240Seychelles241Sierra Leona242Somalia243Sudan244Swazilandia245Tanzania246Chad247Togo248Tunez249Uganda250Zaire251Zambia252Zimbabwe253Eritrea300America301Canada302United States of America303Mexico310Antigua and Barbuda311Bahamas312Barbados313Belize314Costa Rica315Cuba316Dominica317El Salvador318Granada319Guatemala320Haiti321Honduras322Jamaica323Nicaragua324Panama325San Vicente and Las Granadinas326Dominican Republic327Trinidad and Tobago328Santa Lucia329San Cristobal and Nieves340Argentina341Bolivia342Brazil343Colombia344Chile345Ecuador346Guyana347Paraguay348Peru349Surinam350Uruguay351Venezuela400Asia401Afghanistan402Saudi Arabia403Bahrein404Bangladesh405Birmania406Buthan407China408United Arabian Emirates409Philippines410India411Indonesia412Irak413Iran414Israel415Japan416Jordanian417Camboya418Kuwait419Laos420Lebanon421Malaysia422Maldivas423Mongolia424Nepal425Oman426Pakistan427Qatar430Republic of Korea431North Korea432Singapore433Syria434Sri Lanka435Thailand436Turkey437Vietnam438Taiwan439Brunei440Marshal Islands441Yemen442Azerbaiyan443Kazajstan444Kirgyistan445Tadyikistan446Turkmenistan447Uzbekistan500Oceania501Australia502Fiji503Nauru504New Zealand505Papua New Guinea506Salomon Islands507Samoa508Tonga509Vanuatu510Kiribati511Micronesia512Tuvalu555No country600PalestineNativity and Birthplace Variables -- PERSONCommunities and autonomous cities of birthSpain 2001: All personsThis variable indicates the code for the respondent's birthplace community or autonomous city.11Galicia12Principado de Asturias13Cantabria21País Vasco22Comunidad Foral de Navarra23La Rioja24Aragón30Comunidad de Madrid41Castilla y León42Castilla-La Mancha43Extremadura51Cataluña52Comunidad Valenciana53Illes Balears61Andalucía62Región de Murcia63Ciudad Autónoma de Ceuta64Ciudad Autónoma de Melilla70Canarias98AbroadNativity and Birthplace Variables -- PERSONProvince of birth<svar a="all" v="ES01A406 ES01A407">Place of birth: Province<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Municipality (or country)<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br /></svar>Spain 2001: All personsThis variable indicates the code for the respondent's birthplace province.01Álava02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla66AbroadNativity and Birthplace Variables -- PERSONMunicipality or country of birth<svar a="all" v="ES01A406 ES01A407">Place of birth: Province<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Municipality (or country)<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br /></svar>Spain 2001: All personsThis variable indicates the code for size of the respondent's birthplace municipality (or country).01059Vitoria-Gasteiz01991Álava: 0 to 2000 population01992Álava: 2001 to 5000 population01993Álava: 5001 to 10000 population01994Álava: 10001 to 20000 population02003Albacete02009Almansa02037Hellín02081Villarrobledo02991Albacete: 0 to 2000 population02992Albacete: 2001 to 5000 population02993Albacete: 5001 to 10000 population02994Albacete: 10001 to 20000 population03009Alcoy/Alcoi03014Alicante/Alacant03031Benidorm03059Crevillent03063Dénia03065Elche/Elx03066Elda03079Ibi03093Novelda03099Orihuela03104Petrer03122San Vicente del Raspeig/Sant Vicent del Raspeig03133Torrevieja03139Villajoyosa/Vila Joiosa (la)03140Villena03991Alicante/Alacant: 0 to 2000 population03992Alicante/Alacant: 2001 to 5000 population03993Alicante/Alacant: 5001 to 10000 population03994Alicante/Alacant: 10001 to 20000 population04003Adra04013Almería04079Roquetas de Mar04902Ejido (El)04991Almería: 0 to 2000 population04992Almería: 2001 to 5000 population04993Almería: 5001 to 10000 population04994Almería: 10001 to 20000 population05019Ávila05991Ávila: 0 to 2000 population05992Ávila: 2001 to 5000 population05993Ávila: 5001 to 10000 population06011Almendralejo06015Badajoz06044Don Benito06083Mérida06153Villanueva de la Serena06991Badajoz: 0 to 2000 population06992Badajoz: 2001 to 5000 population06993Badajoz: 5001 to 10000 population06994Badajoz: 10001 to 20000 population07011Calvi07015Ciutadella de Menorca07026Eivissa07027Inca07031Llucmajor07032Mahón07033Manacor07036Marratxí07040Palma de Mallorca07991Balears (Illes): 0 to 2000 population07992Balears (Illes): 2001 to 5000 population07993Balears (Illes): 5001 to 10000 population07994Balears (Illes): 10001 to 20000 population08015Badalona08019Barcelona08056Castelldefels08073Cornell de Llobregat08077Esplugues de Llobregat08089Gav08096Granollers08101Hospitalet de Llobregat (L)08102Igualada08113Manresa08114Martorell08118Masnou (El)08121Mataró08123Molins de Rei08124Mollet del Vallès08125Montcada i Reixac08163Pineda de Mar08169Prat de Llobregat (El)08172Premi de Mar08180Ripollet08184Rubí08187Sabadell08194Sant Adri de Besòs08196Sant Andreu de la Barca08200Sant Boi de Llobregat08205Sant Cugat del Vallès08211Sant Feliu de Llobregat08217Sant Joan Despí08231Sant Pere de Ribes08245Santa Coloma de Gramenet08252Barber del Vallès08260Santa Perpètua de Mogoda08263Sant Vicenç dels Horts08266Cerdanyola del Vallès08279Terrassa08298Vic08301Viladecans08305Vilafranca del Penedès08307Vilanova i la Geltrú08991Barcelona: 0 to 2000 population08992Barcelona: 2001 to 5000 population08993Barcelona: 5001 to 10000 population08994Barcelona: 10001 to 20000 population09018Aranda de Duero09059Burgos09219Miranda de Ebro09991Burgos: 0 to 2000 population09992Burgos: 2001 to 5000 population09993Burgos: 5001 to 10000 population10037Cáceres10148Plasencia10991Cáceres: 0 to 2000 population10992Cáceres: 2001 to 5000 population10993Cáceres: 5001 to 10000 population10994Cáceres: 10001 to 20000 population11004Algeciras11006Arcos de la Frontera11007Barbate11012Cádiz11015Chiclana de la Frontera11020Jerez de la Frontera11022Línea de la Concepción (La)11027Puerto de Santa María (El)11028Puerto Real11030Rota11031San Fernando11032Sanlúcar de Barrameda11033San Roque11991Cádiz: 0 to 2000 population11992Cádiz: 2001 to 5000 population11993Cádiz: 5001 to 10000 population11994Cádiz: 10001 to 20000 population12027Benicarló12032Burriana12040Castellón de la Plana/Castelló de la Plana12084Onda12126Vall dUixó (la)12135Villarreal/Vila-real12138Vinaròs12991Castellón/Castelló: 0 to 2000 population12992Castellón/Castelló: 2001 to 5000 population12993Castellón/Castelló: 5001 to 10000 population12994Castellón/Castelló: 10001 to 20000 population13005Alcázar de San Juan13034Ciudad Real13071Puertollano13082Tomelloso13087Valdepeñas13991Ciudad Real: 0 to 2000 population13992Ciudad Real: 2001 to 5000 population13993Ciudad Real: 5001 to 10000 population13994Ciudad Real: 10001 to 20000 population14013Cabra14021Córdoba14038Lucena14042Montilla14055Priego de Córdoba14056Puente Genil14991Córdoba: 0 to 2000 population14992Córdoba: 2001 to 5000 population14993Córdoba: 5001 to 10000 population14994Córdoba: 10001 to 20000 population15005Arteixo15019Carballo15030Coruña (A)15031Culleredo15036Ferrol15054Narón15058Oleiros15073Ribeira15078Santiago de Compostela15991Coruña (A): 0 to 2000 population15992Coruña (A): 2001 to 5000 population15993Coruña (A): 5001 to 10000 population15994Coruña (A): 10001 to 20000 population16078Cuenca16991Cuenca: 0 to 2000 population16992Cuenca: 2001 to 5000 population16993Cuenca: 5001 to 10000 population16994Cuenca: 10001 to 20000 population17023Blanes17066Figueres17079Girona17095Lloret de Mar17114Olot17155Salt17991Girona: 0 to 2000 population17992Girona: 2001 to 5000 population17993Girona: 5001 to 10000 population17994Girona: 10001 to 20000 population18017Almuñécar18023Baza18087Granada18122Loja18140Motril18991Granada: 0 to 2000 population18992Granada: 2001 to 5000 population18993Granada: 5001 to 10000 population18994Granada: 10001 to 20000 population19046Azuqueca de Henares19130Guadalajara19991Guadalajara: 0 to 2000 population19992Guadalajara: 2001 to 5000 population20030Eibar20045Irun20055Arrasate o Mondragón20067Errenteria20069Donostia-San Sebastián20079Zarautz20991Guipúzcoa: 0 to 2000 population20992Guipúzcoa: 2001 to 5000 population20993Guipúzcoa: 5001 to 10000 population20994Guipúzcoa: 10001 to 20000 population21041Huelva21991Huelva: 0 to 2000 population21992Huelva: 2001 to 5000 population21993Huelva: 5001 to 10000 population21994Huelva: 10001 to 20000 population22125Huesca22991Huesca: 0 to 2000 population22992Huesca: 2001 to 5000 population22993Huesca: 5001 to 10000 population22994Huesca: 10001 to 20000 population23002Alcalá la Real23005Andújar23050Jaén23055Linares23060Martos23092Úbeda23991Jaén: 0 to 2000 population23992Jaén: 2001 to 5000 population23993Jaén: 5001 to 10000 population23994Jaén: 10001 to 20000 population24089León24115Ponferrada24142San Andrés del Rabanedo24991León: 0 to 2000 population24992León: 2001 to 5000 population24993León: 5001 to 10000 population24994León: 10001 to 20000 population25120Lleida25991Lleida: 0 to 2000 population25992Lleida: 2001 to 5000 population25993Lleida: 5001 to 10000 population25994Lleida: 10001 to 20000 population26036Calahorra26089Logroño26991Rioja (La): 0 to 2000 population26992Rioja (La): 2001 to 5000 population26993Rioja (La): 5001 to 10000 population26994Rioja (La): 10001 to 20000 population27028Lugo27991Lugo: 0 to 2000 population27992Lugo: 2001 to 5000 population27993Lugo: 5001 to 10000 population27994Lugo: 10001 to 20000 population28005Alcalá de Henares28006Alcobendas28007Alcorcón28013Aranjuez28014Arganda del Rey28022Boadilla del Monte28045Colmenar Viejo28047Collado Villalba28049Coslada28058Fuenlabrada28061Galapagar28065Getafe28074Leganés28079Madrid28080Majadahonda28092Móstoles28106Parla28113Pinto28115Pozuelo de Alarcón28123Rivas-Vaciamadrid28127Rozas de Madrid (Las)28130San Fernando de Henares28134San Sebastián de los Reyes28148Torrejón de Ardoz28161Valdemoro28181Villaviciosa de Odón28903Tres Cantos28991Madrid: 0 to 2000 population28992Madrid: 2001 to 5000 population28993Madrid: 5001 to 10000 population28994Madrid: 10001 to 20000 population29007Alhaurín de la Torre29015Antequera29025Benalmádena29051Estepona29054Fuengirola29067Málaga29069Marbella29070Mijas29082Rincón de la Victoria29084Ronda29094Vélez-Málaga29901Torremolinos29991Málaga: 0 to 2000 population29992Málaga: 2001 to 5000 population29993Málaga: 5001 to 10000 population29994Málaga: 10001 to 20000 population30003Águilas30005Alcantarilla30015Caravaca de la Cruz30016Cartagena30019Cieza30022Jumilla30024Lorca30026Mazarrón30027Molina de Segura30030Murcia30035San Javier30037Torre-Pacheco30039Totana30043Yecla30991Murcia: 0 to 2000 population30992Murcia: 2001 to 5000 population30993Murcia: 5001 to 10000 population30994Murcia: 10001 to 20000 population31201Pamplona/Iruña31232Tudela31901Barañain31991Navarra: 0 to 2000 population31992Navarra: 2001 to 5000 population31993Navarra: 5001 to 10000 population31994Navarra: 10001 to 20000 population32054Ourense32991Ourense: 0 to 2000 population32992Ourense: 2001 to 5000 population32993Ourense: 5001 to 10000 population32994Ourense: 10001 to 20000 population33004Avilés33016Castrillón33024Gijón33031Langreo33037Mieres33044Oviedo33060San Martín del Rey Aurelio33066Siero33991Asturias: 0 to 2000 population33992Asturias: 2001 to 5000 population33993Asturias: 5001 to 10000 population33994Asturias: 10001 to 20000 population34120Palencia34991Palencia: 0 to 2000 population34992Palencia: 2001 to 5000 population34993Palencia: 5001 to 10000 population35002Agüimes35004Arrecife35006Arucas35009Gáldar35011Ingenio35016Palmas de Gran Canaria (Las)35017Puerto del Rosario35019San Bartolomé de Tirajana35022Santa Lucía de Tirajana35026Telde35991Palmas (Las): 0 to 2000 population35992Palmas (Las): 2001 to 5000 population35993Palmas (Las): 5001 to 10000 population35994Palmas (Las): 10001 to 20000 population36008Cangas36017Estrada (A)36026Marín36038Pontevedra36045Redondela36057Vigo36060Vilagarcía de Arousa36991Pontevedra: 0 to 2000 population36992Pontevedra: 2001 to 5000 population36993Pontevedra: 5001 to 10000 population36994Pontevedra: 10001 to 20000 population37274Salamanca37991Salamanca: 0 to 2000 population37992Salamanca: 2001 to 5000 population37993Salamanca: 5001 to 10000 population37994Salamanca: 10001 to 20000 population38001Adeje38006Arona38017Granadilla de Abona38022Icod de los Vinos38023San Cristóbal de La Laguna38026Orotava (La)38028Puerto de la Cruz38031Realejos (Los)38038Santa Cruz de Tenerife38043Tacoronte38991Santa Cruz de Tenerife: 0 to 2000 population38992Santa Cruz de Tenerife: 2001 to 5000 population38993Santa Cruz de Tenerife: 5001 to 10000 population38994Santa Cruz de Tenerife: 10001 to 20000 population39016Camargo39020Castro-Urdiales39075Santander39087Torrelavega39991Cantabria: 0 to 2000 population39992Cantabria: 2001 to 5000 population39993Cantabria: 5001 to 10000 population39994Cantabria: 10001 to 20000 population40194Segovia40991Segovia: 0 to 2000 population40992Segovia: 2001 to 5000 population40993Segovia: 5001 to 10000 population41004Alcalá de Guadaira41021Camas41024Carmona41034Coria del Río41038Dos Hermanas41039Écija41053Lebrija41059Mairena del Aljarafe41065Morón de la Frontera41069Palacios y Villafranca (Los)41081Rinconada (La)41091Sevilla41095Utrera41991Sevilla: 0 to 2000 population41992Sevilla: 2001 to 5000 population41993Sevilla: 5001 to 10000 population41994Sevilla: 10001 to 20000 population42173Soria42991Soria: 0 to 2000 population42992Soria: 2001 to 5000 population42993Soria: 5001 to 10000 population43038Cambrils43123Reus43148Tarragona43155Tortosa43161Valls43163Vendrell (El)43991Tarragona: 0 to 2000 population43992Tarragona: 2001 to 5000 population43993Tarragona: 5001 to 10000 population43994Tarragona: 10001 to 20000 population44216Teruel44991Teruel: 0 to 2000 population44992Teruel: 2001 to 5000 population44993Teruel: 5001 to 10000 population44994Teruel: 10001 to 20000 population45165Talavera de la Reina45168Toledo45991Toledo: 0 to 2000 population45992Toledo: 2001 to 5000 population45993Toledo: 5001 to 10000 population45994Toledo: 10001 to 20000 population46005Alaqu s46017Alzira46021Aldaia46029Algemesí46078Burjassot46094Catarroja46102Quart de Poblet46105Cullera46110Xirivella46131Gandia46145X tiva46159Manises46169Mislata46181Oliva46184Ontinyent46190Paterna46220Sagunto/Sagunt46235Sueca46244Torrent46250Valencia46991Valencia/València: 0 to 2000 population46992Valencia/València: 2001 to 5000 population46993Valencia/València: 5001 to 10000 population46994Valencia/València: 10001 to 20000 population47186Valladolid47991Valladolid: 0 to 2000 population47992Valladolid: 2001 to 5000 population47993Valladolid: 5001 to 10000 population47994Valladolid: 10001 to 20000 population48013Barakaldo48015Basauri48020Bilbao48027Durango48036Galdakao48044Getxo48054Leioa48078Portugalete48082Santurtzi48084Sestao48902Erandio48991Vizcaya: 0 to 2000 population48992Vizcaya: 2001 to 5000 population48993Vizcaya: 5001 to 10000 population48994Vizcaya: 10001 to 20000 population49275Zamora49991Zamora: 0 to 2000 population49993Zamora: 5001 to 10000 population49994Zamora: 10001 to 20000 population50297Zaragoza50991Zaragoza: 0 to 2000 population50992Zaragoza: 2001 to 5000 population50993Zaragoza: 5001 to 10000 population50994Zaragoza: 10001 to 20000 population51001Ceuta52001Melilla66101Albania66102Austria66103Belgium66104Bulgaria66106Cyprus66107Denmark66109Finland66110France66111Greece66112Hungary66113Ireland66114Iceland66115Italy66116Liechtenstein66117Luxemburg66118Malta66119Monaco66120Norway66121Low Countries66122Poland66123Portugal66124Andorra66125United Kingdom66126Germany66128Rumania66130Vatican City66131Sweden66132Switzerland66135Ukraine66136Letonia66137Moldova66138Bielorrusia66139Georgia66141Estonia66142Lithuania66143Chek Republic66144Slovakia66145Bosnia-Herzegovina66146Croacia66147Slovenia66148Armenia66154Russia66155Yugoslavia66201Burkina Fasso66202Angola66203Argelia66204Benin66205Botswana66206Burundi66207Cabo Verde66208Camerun66210Congo66211Ivory Coast66212Djibouti66213Egypt66214Ethiopia66215Gabon66216Gambia66217Ghana66218Guinea66219Guinea Bissau66220Guinea Equatorial66221Kenya66222Lesotho66223Liberia66224Libya66225Madagascar66226Malawi66227Mali66228Morocco66229Mauricio66230Mauritania66231Mozambique66232Namibia66233Niger66234Nigeria66235Republic of Central Africa66236Sudafrica66237Ruanda66239Senegal66241Sierra Leona66242Somalia66243Sudan66245Tanzania66247Togo66248Tunez66249Uganda66250Zaire66251Zambia66252Zimbabwe66253Eritrea66301Canada66302United States of America66303Mexico66311Bahamas66312Barbados66314Costa Rica66315Cuba66316Dominica66317El Salvador66319Guatemala66320Haiti66321Honduras66322Jamaica66323Nicaragua66324Panama66326Dominican Republic66327Trinidad and Tobago66328Santa Lucia66340Argentina66341Bolivia66342Brazil66343Colombia66344Chile66345Ecuador66346Guyana66347Paraguay66348Peru66349Surinam66350Uruguay66351Venezuela66401Afghanistan66402Saudi Arabia66403Bahrein66404Bangladesh66405Birmania66407China66408United Arabian Emirates66409Philippines66410India66411Indonesia66412Irak66413Iran66414Israel66415Japan66416Jordanian66418Kuwait66419Laos66420Lebanon66421Malaysia66423Mongolia66424Nepal66425Oman66426Pakistan66430Republic of Korea66432Singapore66433Syria66434Sri Lanka66435Thailand66436Turkey66437Vietnam66441Yemen66442Azerbaiyan66443Kazajstan66444Kirgyistan66446Turkmenistan66447Uzbekistan66501Australia66504New Zealand66509Vanuatu66511Micronesia66512Tuvalu66600PalestineNativity and Birthplace Variables -- PERSONMarital status<svar a="all" v="ES01A408"><span class="em">[1] Marital status</span><br />Indicate legal marital status, regardless of whether it corresponds with the person's current status.<br /><div class="i1">[] Never married<br />[] Married<br />[] Widowed<br />[] Separated<br />[] Divorced</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's marital status.1Single2Married3Widowed4Separated5Divorced9NIU (not in universe)Demographic Variables -- PERSONRelationship to person for standardized reference<svar a="all" v="ES01A409"><span class="em">2. Relationship to person 1.</span><br />Example: If person number 3 is the son of person number 1, you should mark the second box.<br /><div class="i1">[for the first person]<br />[] Person 1 [Householder] <br /><br />[for other persons]<br />[] Spouse or partner<br />[] son or daughter, son-in-law or daughter-in-law<br />[] Brother or sister, brother-in-law or sister-in-law<br />[] Father or mother; Father-in-law or mother-in-law<br />[] Other relative<br />[] Nonrelative</div><br /></svar>Spain 2001: All personsThis variable indicates the respondent's relationship to the head of the household.10Person of reference21Spouse22Partner31Son/daughter of the person of reference or spouse/partner of person of reference32Son/daughter-in-law41Brother/sister42Brother/sister of the spouse/partner43Spouse/partner of the brother/sister51Father/mother52Father/mother-in-law61Other relative with the same last name62Other relative without the same last name70Not related99Person who do not reside in the householdDemographic Variables -- PERSONLevel of education completed<svar a="all" v="ES01A410"><span class="em">3. Highest level of education completed.</span><br />Look for the numbers in Table 3 and mark the corresponding box.<br /><div class="i1">[] 1 Does not know how to read or write.<br />[] 2 Knows how to read and write, but attended school for less than five years.<br />[] 3 Attended school for five years or more, but did not complete EGB, ESO, or basic baccalaureate degree [EGB, <span class="lang">educación general básica</span>, basic general education / <span class="lang">Educación Superior Oficial</span>, Official higher Education]<br />[] 4 Basic Baccalaureate degree, EGB, or ESO completed (School graduate)<br />[] 5 Higher Baccalaureate degree, BUP, Bachelors LOGSE, COU, PREU<br />[BUP, <span class="lang">Bachillerato Unificado y Polivalente</span>, integrated upper secondary education, a 3-year course of university-preparatory education for 14 to 17 year old students, which also prepares students for employment. COU, <span class="lang">Curso de Orientación Universitaria</span>, a one-year college preparatory program.]<br /><br /><span class="em">[If answer is 1-5] Go on to question 5.</span><br /><br />[] 6 Technical Training, mid-level; Official industrial training, or equivalent<br />[] 7 Technical Training, second level; advanced Technical Training; Industrial master's degree or equivalent<br />[] 8 Diploma, Architecture or Technical engineering, 3 years completed of a bachelor's degree, or the first three years of an engineering or architecture degree<br />[] 9 Completed degree in Architecture or Engineering, Bachelor's degree, or equivalent<br />[] 10 Doctorate</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's level of studies.01Illiterate02Literate but no education03Primary education04Secondary education, occupational secondary studies, general basic education, elementary baccalaureate studies05Secondary education, upper-level secondary education06Secondary education, professional formation, mid-level07Secondary education, professional formation, upper-level08Tertiary education, associate degree09Tertiary education, college degree10Tertiary education, doctoral studies99NIU (not in universe)Education Variables -- PERSONType of studies completed<svar a="all" v="ES01A411"><span class="em">4. Field of study completed</span><br />Look on Table 4 and mark the correct box.<br /><div class="i1">[] 1 Law<br />[] 2 Education, child development<br />[] 3 Social sciences (Administration, Psychology, Economics, Journalism)<br />[] 4 Arts and Humanities (History, Languages, Art and Music, etc. )<br />[] 5 Computer science<br />[] 6 Engineering<br />[] 7 Technical and Industrial Training (Mechanics, Metallurgy, Electricity, Drafting, Clothing design, Food sciences, etc.)<br />[] 8 Sciences (Biology, Chemistry, Physics, Mathematics, etc.)<br />[] 9 Architecture or Construction<br />[] 10 Agriculture, Cattle ranching, Fishing, Veterinary science<br />[] 11 Health, Social Services (Medicine, Nursing, Pharmacy, Social Work, etc.)<br />[] 12 Other services (Tourism, Hotel management, Hairdressing, Naval education, Military)</div><br /></svar>Spain 2001: Persons who reside in the household and completed professonal formation or tertiary education [discrepancies: none]This variable indicates the respondent's type of studies completed.01Law02Education, child development03Social Sciences04Arts and Humanities05Informatics06Engineering07Technical and industrial training08Sciences09Architecture or construction10Agriculture, cattle ranching, fishing, veterinary studies11Healthcare, Social Services12Other services99NIU (not in universe)Education Variables -- PERSONYear of arrival in Spain<svar a="all" v="ES01A412 ES01A413 ES01A414 ES01A415 ES01A416"><span class="em">5. Since what year have you resided in the following places? (answer even if it is since birth):</span><br /><div class="i1">_ _ _ _ Spain<br />_ _ _ _ This Autonomous community<br />_ _ _ _ This municipality<br />If you previously resided in another municipality or country, write it below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the year of most recent arrival in Spain for all household residents.19001900 or before19011901190219021903190319041904190519051906190619071907190819081909190919101910191119111912191219131913191419141915191519161916191719171918191819191919192019201921192119221922192319231924192419251925192619261927192719281928192919291930193019311931193219321933193319341934193519351936193619371937193819381939193919401940194119411942194219431943194419441945194519461946194719471948194819491949195019501951195119521952195319531954195419551955195619561957195719581958195919591960196019611961196219621963196319641964196519651966196619671967196819681969196919701970197119711972197219731973197419741975197519761976197719771978197819791979198019801981198119821982198319831984198419851985198619861987198719881988198919891990199019911991199219921993199319941994199519951996199619971997199819981999199920002000200120019999NIU (not in universe)Nativity and Birthplace Variables -- PERSONYear of arrival in autonomous community<svar a="all" v="ES01A412 ES01A413 ES01A414 ES01A415 ES01A416"><span class="em">5. Since what year have you resided in the following places? (answer even if it is since birth):</span><br /><div class="i1">_ _ _ _ Spain<br />_ _ _ _ This Autonomous community<br />_ _ _ _ This municipality<br />If you previously resided in another municipality or country, write it below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's year of arrival in the current autonomous community of residence.19001900 or before19011901190219021903190319041904190519051906190619071907190819081909190919101910191119111912191219131913191419141915191519161916191719171918191819191919192019201921192119221922192319231924192419251925192619261927192719281928192919291930193019311931193219321933193319341934193519351936193619371937193819381939193919401940194119411942194219431943194419441945194519461946194719471948194819491949195019501951195119521952195319531954195419551955195619561957195719581958195919591960196019611961196219621963196319641964196519651966196619671967196819681969196919701970197119711972197219731973197419741975197519761976197719771978197819791979198019801981198119821982198319831984198419851985198619861987198719881988198919891990199019911991199219921993199319941994199519951996199619971997199819981999199920002000200120019999NIU (not in universe)Migration: Global Variables -- PERSONYear of arrival in municipality<svar a="all" v="ES01A412 ES01A413 ES01A414 ES01A415 ES01A416"><span class="em">5. Since what year have you resided in the following places? (answer even if it is since birth):</span><br /><div class="i1">_ _ _ _ Spain<br />_ _ _ _ This Autonomous community<br />_ _ _ _ This municipality<br />If you previously resided in another municipality or country, write it below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's year of arrival in the current municipality of residence.19001900 or before19011901190219021903190319041904190519051906190619071907190819081909190919101910191119111912191219131913191419141915191519161916191719171918191819191919192019201921192119221922192319231924192419251925192619261927192719281928192919291930193019311931193219321933193319341934193519351936193619371937193819381939193919401940194119411942194219431943194419441945194519461946194719471948194819491949195019501951195119521952195319531954195419551955195619561957195719581958195919591960196019611961196219621963196319641964196519651966196619671967196819681969196919701970197119711972197219731973197419741975197519761976197719771978197819791979198019801981198119821982198319831984198419851985198619861987198719881988198919891990199019911991199219921993199319941994199519951996199619971997199819981999199920002000200120019999NIU (not in universe)Migration: Global Variables -- PERSONCommunities and autonomous cities of previous residencySpain 2001: Persons who resided in a different municipality in the past [unverifiable]This variable indicates the code for the respondent's previous community or autonomous city of residency.11Galicia12Principado de Asturias13Cantabria21País Vasco22Comunidad Foral de Navarra23La Rioja24Aragón30Comunidad de Madrid41Castilla y León42Castilla-La Mancha43Extremadura51Cataluña52Comunidad Valenciana53Illes Balears61Andalucía62Región de Murcia63Ciudad Autónoma de Ceuta64Ciudad Autónoma de Melilla70Canarias98Abroad99NIU (not in universe)Migration: Global Variables -- PERSONProvince of previous residence<svar a="all" v="ES01A412 ES01A413 ES01A414 ES01A415 ES01A416"><span class="em">5. Since what year have you resided in the following places? (answer even if it is since birth):</span><br /><div class="i1">_ _ _ _ Spain<br />_ _ _ _ This Autonomous community<br />_ _ _ _ This municipality<br />If you previously resided in another municipality or country, write it below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who resided in a different municipality in the past [unverifiable]This variable indicates the code for the respondent's previous province of residency.01Álava02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla66Abroad99NIU (not in universe)Migration: Global Variables -- PERSONMunicipality or country of previous residence<svar a="all" v="ES01A412 ES01A413 ES01A414 ES01A415 ES01A416"><span class="em">5. Since what year have you resided in the following places? (answer even if it is since birth):</span><br /><div class="i1">_ _ _ _ Spain<br />_ _ _ _ This Autonomous community<br />_ _ _ _ This municipality<br />If you previously resided in another municipality or country, write it below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who resided in a different municipality in the past [unverifiable]This variable indicates the size code for the respondent's municipality of previous residency (or country).01059Vitoria-Gasteiz01991Álava: 0 to 2000 population01992Álava: 2001 to 5000 population01993Álava: 5001 to 10000 population01994Álava: 10001 to 20000 population02003Albacete02009Almansa02037Hellín02081Villarrobledo02991Albacete: 0 to 2000 population02992Albacete: 2001 to 5000 population02993Albacete: 5001 to 10000 population02994Albacete: 10001 to 20000 population03009Alcoy/Alcoi03014Alicante/Alacant03031Benidorm03059Crevillent03063Dénia03065Elche/Elx03066Elda03079Ibi03093Novelda03099Orihuela03104Petrer03122San Vicente del Raspeig/Sant Vicent del Raspeig03133Torrevieja03139Villajoyosa/Vila Joiosa (la)03140Villena03991Alicante/Alacant: 0 to 2000 population03992Alicante/Alacant: 2001 to 5000 population03993Alicante/Alacant: 5001 to 10000 population03994Alicante/Alacant: 10001 to 20000 population04003Adra04013Almería04079Roquetas de Mar04902Ejido (El)04991Almería: 0 to 2000 population04992Almería: 2001 to 5000 population04993Almería: 5001 to 10000 population04994Almería: 10001 to 20000 population05019Ávila05991Ávila: 0 to 2000 population05992Ávila: 2001 to 5000 population05993Ávila: 5001 to 10000 population06011Almendralejo06015Badajoz06044Don Benito06083Mérida06153Villanueva de la Serena06991Badajoz: 0 to 2000 population06992Badajoz: 2001 to 5000 population06993Badajoz: 5001 to 10000 population06994Badajoz: 10001 to 20000 population07011Calvi07015Ciutadella de Menorca07026Eivissa07027Inca07031Llucmajor07032Mahón07033Manacor07036Marratxí07040Palma de Mallorca07991Balears (Illes): 0 to 2000 population07992Balears (Illes): 2001 to 5000 population07993Balears (Illes): 5001 to 10000 population07994Balears (Illes): 10001 to 20000 population08015Badalona08019Barcelona08056Castelldefels08073Cornell de Llobregat08077Esplugues de Llobregat08089Gav08096Granollers08101Hospitalet de Llobregat (L)08102Igualada08113Manresa08114Martorell08118Masnou (El)08121Mataró08123Molins de Rei08124Mollet del Vallès08125Montcada i Reixac08163Pineda de Mar08169Prat de Llobregat (El)08172Premi de Mar08180Ripollet08184Rubí08187Sabadell08194Sant Adri de Besòs08196Sant Andreu de la Barca08200Sant Boi de Llobregat08205Sant Cugat del Vallès08211Sant Feliu de Llobregat08217Sant Joan Despí08231Sant Pere de Ribes08245Santa Coloma de Gramenet08252Barber del Vallès08260Santa Perpètua de Mogoda08263Sant Vicenç dels Horts08266Cerdanyola del Vallès08279Terrassa08298Vic08301Viladecans08305Vilafranca del Penedès08307Vilanova i la Geltrú08991Barcelona: 0 to 2000 population08992Barcelona: 2001 to 5000 population08993Barcelona: 5001 to 10000 population08994Barcelona: 10001 to 20000 population09018Aranda de Duero09059Burgos09219Miranda de Ebro09991Burgos: 0 to 2000 population09992Burgos: 2001 to 5000 population09993Burgos: 5001 to 10000 population10037Cáceres10148Plasencia10991Cáceres: 0 to 2000 population10992Cáceres: 2001 to 5000 population10993Cáceres: 5001 to 10000 population10994Cáceres: 10001 to 20000 population11004Algeciras11006Arcos de la Frontera11007Barbate11012Cádiz11015Chiclana de la Frontera11020Jerez de la Frontera11022Línea de la Concepción (La)11027Puerto de Santa María (El)11028Puerto Real11030Rota11031San Fernando11032Sanlúcar de Barrameda11033San Roque11991Cádiz: 0 to 2000 population11992Cádiz: 2001 to 5000 population11993Cádiz: 5001 to 10000 population11994Cádiz: 10001 to 20000 population12027Benicarló12032Burriana12040Castellón de la Plana/Castelló de la Plana12084Onda12126Vall dUixó (la)12135Villarreal/Vila-real12138Vinaròs12991Castellón/Castelló: 0 to 2000 population12992Castellón/Castelló: 2001 to 5000 population12993Castellón/Castelló: 5001 to 10000 population12994Castellón/Castelló: 10001 to 20000 population13005Alcázar de San Juan13034Ciudad Real13071Puertollano13082Tomelloso13087Valdepeñas13991Ciudad Real: 0 to 2000 population13992Ciudad Real: 2001 to 5000 population13993Ciudad Real: 5001 to 10000 population13994Ciudad Real: 10001 to 20000 population14013Cabra14021Córdoba14038Lucena14042Montilla14055Priego de Córdoba14056Puente Genil14991Córdoba: 0 to 2000 population14992Córdoba: 2001 to 5000 population14993Córdoba: 5001 to 10000 population14994Córdoba: 10001 to 20000 population15005Arteixo15019Carballo15030Coruña (A)15031Culleredo15036Ferrol15054Narón15058Oleiros15073Ribeira15078Santiago de Compostela15991Coruña (A): 0 to 2000 population15992Coruña (A): 2001 to 5000 population15993Coruña (A): 5001 to 10000 population15994Coruña (A): 10001 to 20000 population16078Cuenca16991Cuenca: 0 to 2000 population16992Cuenca: 2001 to 5000 population16993Cuenca: 5001 to 10000 population16994Cuenca: 10001 to 20000 population17023Blanes17066Figueres17079Girona17095Lloret de Mar17114Olot17155Salt17991Girona: 0 to 2000 population17992Girona: 2001 to 5000 population17993Girona: 5001 to 10000 population17994Girona: 10001 to 20000 population18017Almuñécar18023Baza18087Granada18122Loja18140Motril18991Granada: 0 to 2000 population18992Granada: 2001 to 5000 population18993Granada: 5001 to 10000 population18994Granada: 10001 to 20000 population19046Azuqueca de Henares19130Guadalajara19991Guadalajara: 0 to 2000 population19992Guadalajara: 2001 to 5000 population20030Eibar20045Irun20055Arrasate o Mondragón20067Errenteria20069Donostia-San Sebastián20079Zarautz20991Guipúzcoa: 0 to 2000 population20992Guipúzcoa: 2001 to 5000 population20993Guipúzcoa: 5001 to 10000 population20994Guipúzcoa: 10001 to 20000 population21041Huelva21991Huelva: 0 to 2000 population21992Huelva: 2001 to 5000 population21993Huelva: 5001 to 10000 population21994Huelva: 10001 to 20000 population22125Huesca22991Huesca: 0 to 2000 population22992Huesca: 2001 to 5000 population22993Huesca: 5001 to 10000 population22994Huesca: 10001 to 20000 population23002Alcalá la Real23005Andújar23050Jaén23055Linares23060Martos23092Úbeda23991Jaén: 0 to 2000 population23992Jaén: 2001 to 5000 population23993Jaén: 5001 to 10000 population23994Jaén: 10001 to 20000 population24089León24115Ponferrada24142San Andrés del Rabanedo24991León: 0 to 2000 population24992León: 2001 to 5000 population24993León: 5001 to 10000 population24994León: 10001 to 20000 population25120Lleida25991Lleida: 0 to 2000 population25992Lleida: 2001 to 5000 population25993Lleida: 5001 to 10000 population25994Lleida: 10001 to 20000 population26036Calahorra26089Logroño26991Rioja (La): 0 to 2000 population26992Rioja (La): 2001 to 5000 population26993Rioja (La): 5001 to 10000 population26994Rioja (La): 10001 to 20000 population27028Lugo27991Lugo: 0 to 2000 population27992Lugo: 2001 to 5000 population27993Lugo: 5001 to 10000 population27994Lugo: 10001 to 20000 population28005Alcalá de Henares28006Alcobendas28007Alcorcón28013Aranjuez28014Arganda del Rey28022Boadilla del Monte28045Colmenar Viejo28047Collado Villalba28049Coslada28058Fuenlabrada28061Galapagar28065Getafe28074Leganés28079Madrid28080Majadahonda28092Móstoles28106Parla28113Pinto28115Pozuelo de Alarcón28123Rivas-Vaciamadrid28127Rozas de Madrid (Las)28130San Fernando de Henares28134San Sebastián de los Reyes28148Torrejón de Ardoz28161Valdemoro28181Villaviciosa de Odón28903Tres Cantos28991Madrid: 0 to 2000 population28992Madrid: 2001 to 5000 population28993Madrid: 5001 to 10000 population28994Madrid: 10001 to 20000 population29007Alhaurín de la Torre29015Antequera29025Benalmádena29051Estepona29054Fuengirola29067Málaga29069Marbella29070Mijas29082Rincón de la Victoria29084Ronda29094Vélez-Málaga29901Torremolinos29991Málaga: 0 to 2000 population29992Málaga: 2001 to 5000 population29993Málaga: 5001 to 10000 population29994Málaga: 10001 to 20000 population30003Águilas30005Alcantarilla30015Caravaca de la Cruz30016Cartagena30019Cieza30022Jumilla30024Lorca30026Mazarrón30027Molina de Segura30030Murcia30035San Javier30037Torre-Pacheco30039Totana30043Yecla30991Murcia: 0 to 2000 population30992Murcia: 2001 to 5000 population30993Murcia: 5001 to 10000 population30994Murcia: 10001 to 20000 population31201Pamplona/Iruña31232Tudela31901Barañain31991Navarra: 0 to 2000 population31992Navarra: 2001 to 5000 population31993Navarra: 5001 to 10000 population31994Navarra: 10001 to 20000 population32054Ourense32991Ourense: 0 to 2000 population32992Ourense: 2001 to 5000 population32993Ourense: 5001 to 10000 population32994Ourense: 10001 to 20000 population33004Avilés33016Castrillón33024Gijón33031Langreo33037Mieres33044Oviedo33060San Martín del Rey Aurelio33066Siero33991Asturias: 0 to 2000 population33992Asturias: 2001 to 5000 population33993Asturias: 5001 to 10000 population33994Asturias: 10001 to 20000 population34120Palencia34991Palencia: 0 to 2000 population34992Palencia: 2001 to 5000 population34993Palencia: 5001 to 10000 population35002Agüimes35004Arrecife35006Arucas35009Gáldar35011Ingenio35016Palmas de Gran Canaria (Las)35017Puerto del Rosario35019San Bartolomé de Tirajana35022Santa Lucía de Tirajana35026Telde35991Palmas (Las): 0 to 2000 population35992Palmas (Las): 2001 to 5000 population35993Palmas (Las): 5001 to 10000 population35994Palmas (Las): 10001 to 20000 population36008Cangas36017Estrada (A)36026Marín36038Pontevedra36045Redondela36057Vigo36060Vilagarcía de Arousa36991Pontevedra: 0 to 2000 population36992Pontevedra: 2001 to 5000 population36993Pontevedra: 5001 to 10000 population36994Pontevedra: 10001 to 20000 population37274Salamanca37991Salamanca: 0 to 2000 population37992Salamanca: 2001 to 5000 population37993Salamanca: 5001 to 10000 population37994Salamanca: 10001 to 20000 population38001Adeje38006Arona38017Granadilla de Abona38022Icod de los Vinos38023San Cristóbal de La Laguna38026Orotava (La)38028Puerto de la Cruz38031Realejos (Los)38038Santa Cruz de Tenerife38043Tacoronte38991Santa Cruz de Tenerife: 0 to 2000 population38992Santa Cruz de Tenerife: 2001 to 5000 population38993Santa Cruz de Tenerife: 5001 to 10000 population38994Santa Cruz de Tenerife: 10001 to 20000 population39016Camargo39020Castro-Urdiales39075Santander39087Torrelavega39991Cantabria: 0 to 2000 population39992Cantabria: 2001 to 5000 population39993Cantabria: 5001 to 10000 population39994Cantabria: 10001 to 20000 population40194Segovia40991Segovia: 0 to 2000 population40992Segovia: 2001 to 5000 population40993Segovia: 5001 to 10000 population41004Alcalá de Guadaira41021Camas41024Carmona41034Coria del Río41038Dos Hermanas41039Écija41053Lebrija41059Mairena del Aljarafe41065Morón de la Frontera41069Palacios y Villafranca (Los)41081Rinconada (La)41091Sevilla41095Utrera41991Sevilla: 0 to 2000 population41992Sevilla: 2001 to 5000 population41993Sevilla: 5001 to 10000 population41994Sevilla: 10001 to 20000 population42173Soria42991Soria: 0 to 2000 population42992Soria: 2001 to 5000 population42993Soria: 5001 to 10000 population43038Cambrils43123Reus43148Tarragona43155Tortosa43161Valls43163Vendrell (El)43991Tarragona: 0 to 2000 population43992Tarragona: 2001 to 5000 population43993Tarragona: 5001 to 10000 population43994Tarragona: 10001 to 20000 population44216Teruel44991Teruel: 0 to 2000 population44992Teruel: 2001 to 5000 population44993Teruel: 5001 to 10000 population44994Teruel: 10001 to 20000 population45165Talavera de la Reina45168Toledo45991Toledo: 0 to 2000 population45992Toledo: 2001 to 5000 population45993Toledo: 5001 to 10000 population45994Toledo: 10001 to 20000 population46005Alaqu s46017Alzira46021Aldaia46029Algemesí46078Burjassot46094Catarroja46102Quart de Poblet46105Cullera46110Xirivella46131Gandia46145X tiva46159Manises46169Mislata46181Oliva46184Ontinyent46190Paterna46220Sagunto/Sagunt46235Sueca46244Torrent46250Valencia46991Valencia/València: 0 to 2000 population46992Valencia/València: 2001 to 5000 population46993Valencia/València: 5001 to 10000 population46994Valencia/València: 10001 to 20000 population47186Valladolid47991Valladolid: 0 to 2000 population47992Valladolid: 2001 to 5000 population47993Valladolid: 5001 to 10000 population47994Valladolid: 10001 to 20000 population48013Barakaldo48015Basauri48020Bilbao48027Durango48036Galdakao48044Getxo48054Leioa48078Portugalete48082Santurtzi48084Sestao48902Erandio48991Vizcaya: 0 to 2000 population48992Vizcaya: 2001 to 5000 population48993Vizcaya: 5001 to 10000 population48994Vizcaya: 10001 to 20000 population49275Zamora49991Zamora: 0 to 2000 population49993Zamora: 5001 to 10000 population49994Zamora: 10001 to 20000 population50297Zaragoza50991Zaragoza: 0 to 2000 population50992Zaragoza: 2001 to 5000 population50993Zaragoza: 5001 to 10000 population50994Zaragoza: 10001 to 20000 population51001Ceuta52001Melilla66101Albania66102Austria66103Belgium66104Bulgaria66106Cyprus66107Denmark66109Finland66110France66111Greece66112Hungary66113Ireland66114Iceland66115Italy66116Liechtenstein66117Luxemburg66118Malta66119Monaco66120Norway66121Low Countries66122Poland66123Portugal66124Andorra66125United Kingdom66126Germany66128Rumania66129San Marino66131Sweden66132Switzerland66135Ukraine66136Letonia66137Moldova66138Bielorrusia66139Georgia66141Estonia66142Lithuania66143Chek Republic66144Slovakia66145Bosnia-Herzegovina66146Croacia66147Slovenia66148Armenia66154Russia66155Yugoslavia66156Macedonia66201Burkina Fasso66202Angola66203Argelia66204Benin66206Burundi66207Cabo Verde66208Camerun66210Congo66211Ivory Coast66212Djibouti66213Egypt66214Ethiopia66215Gabon66216Gambia66217Ghana66218Guinea66219Guinea Bissau66220Guinea Equatorial66221Kenya66223Liberia66224Libya66225Madagascar66227Mali66228Morocco66229Mauricio66230Mauritania66231Mozambique66232Namibia66233Niger66234Nigeria66235Republic of Central Africa66236Sudafrica66237Ruanda66239Senegal66241Sierra Leona66242Somalia66243Sudan66245Tanzania66246Chad66247Togo66248Tunez66249Uganda66250Zaire66251Zambia66252Zimbabwe66301Canada66302United States of America66303Mexico66311Bahamas66314Costa Rica66315Cuba66316Dominica66317El Salvador66319Guatemala66320Haiti66321Honduras66322Jamaica66323Nicaragua66324Panama66326Dominican Republic66327Trinidad and Tobago66328Santa Lucia66340Argentina66341Bolivia66342Brazil66343Colombia66344Chile66345Ecuador66346Guyana66347Paraguay66348Peru66350Uruguay66351Venezuela66402Saudi Arabia66403Bahrein66404Bangladesh66405Birmania66407China66408United Arabian Emirates66409Philippines66410India66411Indonesia66412Irak66413Iran66414Israel66415Japan66416Jordanian66418Kuwait66419Laos66420Lebanon66421Malaysia66422Maldivas66424Nepal66425Oman66426Pakistan66430Republic of Korea66432Singapore66433Syria66434Sri Lanka66435Thailand66436Turkey66437Vietnam66438Taiwan66441Yemen66442Azerbaiyan66443Kazajstan66444Kirgyistan66445Tadyikistan66447Uzbekistan66501Australia66504New Zealand66505Papua New Guinea66509Vanuatu66511Micronesia66512Tuvalu66600Palestine99999NIU (not in universe)Migration: Global Variables -- PERSONResidence 10 years ago<svar a="all" v="ES01A417 ES01A418 ES01A419"><span class="em">6. In what municipality (or country) did you reside on March 1, 1991?</span><br /><div class="i1">[] In this municipality (or not yet born)<br />[] In another municipality or country<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Province (supply only if you resided in another municipality in Spain)<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates whether the respondent lived in this or another municipality/country ten years ago.1In this municipality (or had not been born yet)2In another municipality or country9NIU (not in universe)Migration: Global Variables -- PERSONProvince of residence 10 years ago<svar a="all" v="ES01A417 ES01A418 ES01A419"><span class="em">6. In what municipality (or country) did you reside on March 1, 1991?</span><br /><div class="i1">[] In this municipality (or not yet born)<br />[] In another municipality or country<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Province (supply only if you resided in another municipality in Spain)<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons who were born in or before 1991 and resided in the household at the time of census 2001 [discrepancies: none].This variable indicates the code of the respondent's province of residency ten years ago.01Álava02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla66Abroad98Unknown99NIU (not in universe)Migration: Global Variables -- PERSONKnowledge of native languageSpain 2001: Persons who live in a municipality with a native language [discrepancies: Not verifiable]This variable indicates the respondent's written and oral knowledge of his native language.1Does not understand it2Only understands it3Only understands it and knows how to read it4Only understands it and knows how to speak it5Understands it, knows how to speak it and read it, but cannot write it6Understands it, knows how to speak it, read it, and write it9NIU (not in universe)Ethnicity and Language Variables -- PERSONEmployment situation last week (first response)<svar a="all" v="ES01A421 ES01A422 ES01A423 ES01A424"><span class="em">7. Which of the following describes your situation last week?</span><br />Review all the options in Table 7 and mark all of the boxes that apply.<br /><div class="i1">[] 1 Receiving some type of schooling (including schooling via nursery school, academies, businesses, etc.)<br />[] 2 Working (worked at least 1 hour) or temporarily absent from work.<br /><br /><span class="em">[If answers 1 or 2 apply] Please fill an individual questionnaire.</span><br /><br />[] 3 Unemployed, looking for a first job<br />[] 4 Unemployed, having worked previously<br />[] 5 Receiving a pension because handicapped or disabled<br />[] 6 Receiving a widow's or orphan's pension<br />[] 7 Receiving a retirement or pre-retirement pension<br />[] 8 Doing volunteer work<br />[] 9 Unable to do basic activities without assistance (bathing, getting dressed, moving around)<br />[] 10 Doing or helping with household chores<br />[] 11 Some other situation (children too young to attend school, persons living off rental income, etc. )</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's employment situation last week (first option).01Students02Employed03Unemployed looking for first job04Unemployed having worked previously05Disability pension06Pension for widows and orphans07Retirement pension08Volunteer work09Unable to do basic activities without assistance10Doing or sharing household chores11Other situation (minors who do not study, rent earners...)99NIU (not in universe)Work Variables -- PERSONEmployment situation last week (second response)<svar a="all" v="ES01A421 ES01A422 ES01A423 ES01A424"><span class="em">7. Which of the following describes your situation last week?</span><br />Review all the options in Table 7 and mark all of the boxes that apply.<br /><div class="i1">[] 1 Receiving some type of schooling (including schooling via nursery school, academies, businesses, etc.)<br />[] 2 Working (worked at least 1 hour) or temporarily absent from work.<br /><br /><span class="em">[If answers 1 or 2 apply] Please fill an individual questionnaire.</span><br /><br />[] 3 Unemployed, looking for a first job<br />[] 4 Unemployed, having worked previously<br />[] 5 Receiving a pension because handicapped or disabled<br />[] 6 Receiving a widow's or orphan's pension<br />[] 7 Receiving a retirement or pre-retirement pension<br />[] 8 Doing volunteer work<br />[] 9 Unable to do basic activities without assistance (bathing, getting dressed, moving around)<br />[] 10 Doing or helping with household chores<br />[] 11 Some other situation (children too young to attend school, persons living off rental income, etc. )</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's employment situation last week (second option, excludes students).01Students02Employed03Unemployed looking for first job04Unemployed having worked previously05Disability pension06Pension for widows and orphans07Retirement pension08Volunteer work09Unable to do basic activities without assistance10Doing or sharing household chores11Other situation (minors who do not study, rent earners...)98Unknown or only one employment situation chosen99NIU (not in universe)Work Variables -- PERSONEmployment situation last week (third response)<svar a="all" v="ES01A421 ES01A422 ES01A423 ES01A424"><span class="em">7. Which of the following describes your situation last week?</span><br />Review all the options in Table 7 and mark all of the boxes that apply.<br /><div class="i1">[] 1 Receiving some type of schooling (including schooling via nursery school, academies, businesses, etc.)<br />[] 2 Working (worked at least 1 hour) or temporarily absent from work.<br /><br /><span class="em">[If answers 1 or 2 apply] Please fill an individual questionnaire.</span><br /><br />[] 3 Unemployed, looking for a first job<br />[] 4 Unemployed, having worked previously<br />[] 5 Receiving a pension because handicapped or disabled<br />[] 6 Receiving a widow's or orphan's pension<br />[] 7 Receiving a retirement or pre-retirement pension<br />[] 8 Doing volunteer work<br />[] 9 Unable to do basic activities without assistance (bathing, getting dressed, moving around)<br />[] 10 Doing or helping with household chores<br />[] 11 Some other situation (children too young to attend school, persons living off rental income, etc. )</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's employment situation last week (third option, excludes students, employed, and unemployed people).01Students02Employed03Unemployed looking for first job04Unemployed having worked previously05Disability pension06Pension for widows and orphans07Retirement pension08Volunteer work09Unable to do basic activities without assistance10Doing or sharing household chores11Other situation (minors who do not study, rent earners...)98Unknown or only one employment situation chosen99NIU (not in universe)Work Variables -- PERSONPrincipal activity<svar a="all" v="ES01A421 ES01A422 ES01A423 ES01A424"><span class="em">7. Which of the following describes your situation last week?</span><br />Review all the options in Table 7 and mark all of the boxes that apply.<br /><div class="i1">[] 1 Receiving some type of schooling (including schooling via nursery school, academies, businesses, etc.)<br />[] 2 Working (worked at least 1 hour) or temporarily absent from work.<br /><br /><span class="em">[If answers 1 or 2 apply] Please fill an individual questionnaire.</span><br /><br />[] 3 Unemployed, looking for a first job<br />[] 4 Unemployed, having worked previously<br />[] 5 Receiving a pension because handicapped or disabled<br />[] 6 Receiving a widow's or orphan's pension<br />[] 7 Receiving a retirement or pre-retirement pension<br />[] 8 Doing volunteer work<br />[] 9 Unable to do basic activities without assistance (bathing, getting dressed, moving around)<br />[] 10 Doing or helping with household chores<br />[] 11 Some other situation (children too young to attend school, persons living off rental income, etc. )</div><br /></svar>Spain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's principal situation/activity.01Students02Employed03Unemployed looking for first job04Unemployed having worked previously05Disability pension06Pension for widows and orphans07Retirement pension08Volunteer work09Unable to do basic activities without assistance10Doing or sharing household chores11Other situation (minors who do not study, rent earners...)99NIU (not in universe)Work Variables -- PERSONPlace of work or study<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A425 ES01A426 ES01A427"><span class="em">1. Where is your workplace or school?</span><br />If the person both works and goes to school, refer to the place where he/she worked last week.<br /><div class="i1">[] In my own home (skip to question 5)<br />[] In several municipalities (commercial traveler, truck driver, etc.) (skip to question 5)<br />[] In this municipality<br />[] In another municipality:<br />Municipality<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Province<br />_ _ _ _ _ _ _ _ _ _ _ _<br />[] In another country<br />Country:<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week [discrepancies: Type I 0.6%; type II none]This variable indicates the respondent's place of work or study.1In my own home2Several municipalities3Same municipality as residency4Another municipality5In another country9NIU (not in universe)Work Variables -- PERSONProvince of school or employment<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A425 ES01A426 ES01A427"><span class="em">1. Where is your workplace or school?</span><br />If the person both works and goes to school, refer to the place where he/she worked last week.<br /><div class="i1">[] In my own home (skip to question 5)<br />[] In several municipalities (commercial traveler, truck driver, etc.) (skip to question 5)<br />[] In this municipality<br />[] In another municipality:<br />Municipality<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _<br />Province<br />_ _ _ _ _ _ _ _ _ _ _ _<br />[] In another country<br />Country:<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week [discrepancies: need to verify again in light of programming]This variable indicates the respondent's municipality of studies or employment.01Álava02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla66Abroad98Several municipalities99NIU (not in universe)Work Variables -- PERSONNumber of daily trips<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A428"><span class="em">2. How many round trips do you normally make daily from this residence to your workplace or school?</span><br /><div class="i1">[] None (because I have a second residence, from which I leave to travel to work or school) (skip to question 5)<br />[] One daily (meaning, one trip there, one trip back)<br />[] two or more</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week, except those working or studying at home or in more than one municipality [discrepancies: not verified]This variable indicates the respondent's number of daily trips to work or study.1None2One3Two or more daily9NIU (not in universe)Work Variables -- PERSONMeans of transportation 1<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A429 ES01A430"><span class="em">3. How do you normally travel from home to your workplace or school?</span><br />If you use more than one means of transportation, mark the two that cover the greatest distance.)<br /><div class="i1">[] In a car or mini-van, as a driver<br />[] In a car or mini-van, as a passenger<br />[] In a bus, streetcar, or mini-bus<br />[] Subway<br />[] Motorcycle<br />[] Walk<br />[] RENFE (intercity train or suburban train)<br />[] Other trains<br />[] Bicycle<br />[] Another mode of transport</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week, except those working or studying at home or in more than one municipality [discrepancies: not verified]This variable indicates the respondent's first means of transportation to work or study.01Private car or microbus, driving02Private car or microbus, passenger03Bus04Metro05Motorcycle06Walking07RENFE (train)08Other trains09Bicycle10Other means99NIU (not in universe)Work Variables -- PERSONMeans of transportation 2<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A429 ES01A430"><span class="em">3. How do you normally travel from home to your workplace or school?</span><br />If you use more than one means of transportation, mark the two that cover the greatest distance.)<br /><div class="i1">[] In a car or mini-van, as a driver<br />[] In a car or mini-van, as a passenger<br />[] In a bus, streetcar, or mini-bus<br />[] Subway<br />[] Motorcycle<br />[] Walk<br />[] RENFE (intercity train or suburban train)<br />[] Other trains<br />[] Bicycle<br />[] Another mode of transport</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week and who specified more than one means of transportation, except those working or studying at home or in more than one municipality [discrepancies: not verified]This variable indicates the respondent's second means of transportation.01Private car or microbus, driving02Private car or microbus, passenger03Bus04Metro05Motorcycle06Walking07RENFE (train)08Other trains09Bicycle10Other means99NIU (not in universe)Work Variables -- PERSONTravel time<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A431"><span class="em">4. How long does it normally take you to travel from your home to your workplace or school?</span><br /><div class="i1">[] Less than 10 minutes<br />[] Between 10 and 20 minutes<br />[] Between 20 and 30 minutes<br />[] Between 30 and 45 minutes<br />[] Between 45 minutes and 1 hour<br />[] Between an hour and an hour and a half<br />[] More than an hour and a half</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week, except those working or studying at home or in more than one municipality [discrepancies: not verified]This variable indicates the respondent's travel time to the place of work or study.1Less than 10 minutes210 to 20 minutes320 to 30 minutes430 to 45 minutes545 minutes to an hour61 hour to 1.5 hours71.5 hours +9NIU (not in universe)Work Variables -- PERSONCurrent studies<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A432 ES01A433 ES01A434"><span class="em">5. Were you enrolled in any course of study last week?</span><br /><div class="i1">[] No: please skip to question 6.<br />[] Yes: What type? (Review all the options and mark up to 3 boxes.)<br /><br />[] Basic adult education (literacy, basic education)<br />[] Social Welfare Programs<br />[] ESO (Educación Superior Oficial, meaning Official higher Education); Secondary education for adults<br />[] Basic Baccalaureate, BUP, COU<br />[BUP, <span class="lang">Bachillerato Unificado y Polivalente</span>, is an integrated upper secondary education, a 3-year course of university-preparatory education for 14 to 17 year old students, which also prepares students for employment. COU, <span class="lang">Curso de Orientación Universitaria</span>, is a one-year college preparatory program.]<br />[] Official language schools<br />[] Elementary and mid-level artistic education<br />[] Technical training, mid-level or equivalent<br />[] Technical training, second level; advanced Technical training; or equivalent<br />[] University Diploma, Architecture, engineering, or equivalent<br />[] Post-graduate, master's, MIR, or similar<br />[] Doctorate<br /><br />Other training courses:<br />[] Training via INEM centers, workshops, or other courses for unemployed persons<br />[INEM, <span class="lang">Instituto de Empleo Servicio Público de Empleo Estatal</span>, is the Institute of Public Service for State Employment]<br />[] Occupational training provided by businesses (only for those who are employed)<br />[] Other courses not listed above (computer training, job search training program, language academies, cultural or recreational courses, etc. )</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week [discrepancies: Type I 0.6%; type II none]This variable indicates the respondent's current studies (first option).01Basic adult education02Social Assistance Programs03Obligatory Secondary Education and Secondary education for adults04Baccalaureate studies, Integrated Upper Secondary Education and University Orientation Course05Official Language Schools06Artistic Studies, elementary- or mid-level07Professional Formation, mid-level or equivalent08Professional Formation, upper-level, Professional Formation II, or equivalent09University diploma studies, Architecture or Technical engineering or equivalent10University Licentiate studies, Architecture, Engineering. Or equivalent11Post-graduate studies, master, resident medical intern or equivalent12Doctoral studies13Public Service Employment courses, workshop school14Training course provided by the company15Other courses (Informatics, job training)98Unknown99NIU (not in universe)Education Variables -- PERSONCurrent studies 2<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A432 ES01A433 ES01A434"><span class="em">5. Were you enrolled in any course of study last week?</span><br /><div class="i1">[] No: please skip to question 6.<br />[] Yes: What type? (Review all the options and mark up to 3 boxes.)<br /><br />[] Basic adult education (literacy, basic education)<br />[] Social Welfare Programs<br />[] ESO (Educación Superior Oficial, meaning Official higher Education); Secondary education for adults<br />[] Basic Baccalaureate, BUP, COU<br />[BUP, <span class="lang">Bachillerato Unificado y Polivalente</span>, is an integrated upper secondary education, a 3-year course of university-preparatory education for 14 to 17 year old students, which also prepares students for employment. COU, <span class="lang">Curso de Orientación Universitaria</span>, is a one-year college preparatory program.]<br />[] Official language schools<br />[] Elementary and mid-level artistic education<br />[] Technical training, mid-level or equivalent<br />[] Technical training, second level; advanced Technical training; or equivalent<br />[] University Diploma, Architecture, engineering, or equivalent<br />[] Post-graduate, master's, MIR, or similar<br />[] Doctorate<br /><br />Other training courses:<br />[] Training via INEM centers, workshops, or other courses for unemployed persons<br />[INEM, <span class="lang">Instituto de Empleo Servicio Público de Empleo Estatal</span>, is the Institute of Public Service for State Employment]<br />[] Occupational training provided by businesses (only for those who are employed)<br />[] Other courses not listed above (computer training, job search training program, language academies, cultural or recreational courses, etc. )</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week [discrepancies: Type I 0.1%; type II none]This variable indicates the respondent's current studies (second option).01Basic adult education02Social Assistance Programs03Obligatory Secondary Education and Secondary education for adults04Baccalaureate studies, Integrated Upper Secondary Education and University Orientation Course05Official Language Schools06Artistic Studies, elementary- or mid-level07Professional Formation, mid-level or equivalent08Professional Formation, upper-level, Professional Formation II, or equivalent09University diploma studies, Architecture or Technical engineering or equivalent10University Licentiate studies, Architecture, Engineering. Or equivalent11Post-graduate studies, master, resident medical intern or equivalent12Doctoral studies13Public Service Employment courses, workshop school14Training course provided by the company15Other courses (Informatics, job training)98Unknown99NIU (not in universe)Education Variables -- PERSONCurrent studies 3<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A432 ES01A433 ES01A434"><span class="em">5. Were you enrolled in any course of study last week?</span><br /><div class="i1">[] No: please skip to question 6.<br />[] Yes: What type? (Review all the options and mark up to 3 boxes.)<br /><br />[] Basic adult education (literacy, basic education)<br />[] Social Welfare Programs<br />[] ESO (Educación Superior Oficial, meaning Official higher Education); Secondary education for adults<br />[] Basic Baccalaureate, BUP, COU<br />[BUP, <span class="lang">Bachillerato Unificado y Polivalente</span>, is an integrated upper secondary education, a 3-year course of university-preparatory education for 14 to 17 year old students, which also prepares students for employment. COU, <span class="lang">Curso de Orientación Universitaria</span>, is a one-year college preparatory program.]<br />[] Official language schools<br />[] Elementary and mid-level artistic education<br />[] Technical training, mid-level or equivalent<br />[] Technical training, second level; advanced Technical training; or equivalent<br />[] University Diploma, Architecture, engineering, or equivalent<br />[] Post-graduate, master's, MIR, or similar<br />[] Doctorate<br /><br />Other training courses:<br />[] Training via INEM centers, workshops, or other courses for unemployed persons<br />[INEM, <span class="lang">Instituto de Empleo Servicio Público de Empleo Estatal</span>, is the Institute of Public Service for State Employment]<br />[] Occupational training provided by businesses (only for those who are employed)<br />[] Other courses not listed above (computer training, job search training program, language academies, cultural or recreational courses, etc. )</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week [discrepancies: Type I trace; type II none]This variable indicates the respondent's current studies (third option).01Basic adult education02Social Assistance Programs03Obligatory Secondary Education and Secondary education for adults04Baccalaureate studies, Integrated Upper Secondary Education and University Orientation Course05Official Language Schools06Artistic Studies, elementary- or mid-level07Professional Formation, mid-level or equivalent08Professional Formation, upper-level, Professional Formation II, or equivalent09University diploma studies, Architecture or Technical engineering or equivalent10University Licentiate studies, Architecture, Engineering. Or equivalent11Post-graduate studies, master, resident medical intern or equivalent12Doctoral studies13Public Service Employment courses, workshop school14Training course provided by the company15Other courses (Informatics, job training)98Unknown99NIU (not in universe)Education Variables -- PERSONOccupation<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A435"><span class="em">6. Were you working (for at least one hour) or temporarily absent from work last week?</span><br /><div class="i1">[] No: Your questionnaire is finished. Thank you for your collaboration.<br />[] Yes: What was your occupation?<br />Note: We are not asking for your title based on your level of education (college graduate, doctor, etc.), nor your class/sector of work (government official, businessman, etc.), nor your work category (official, apprentice, etc.). We are asking about the type of work that you did.<br />Look in the Table of Occupations (on the white sheet, with a yellow title) and write the letter and number that corresponds to your occupation:<br /><br />_ Letter _ Number<br />If you did not find your occupation or you are not certain, write your occupation below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons age 16+ who were working or studying last week [discrepancies: none]This variable indicates the respondent's occupation.00Armed forces10Executive and legislative powers and direction of public administrations; direction of organizations of interest11Direction of companies with 10 employees or more12Management of commercial businesses with 10 salaried employees or more13Management of hotel and restaurant businesses with fewer than 10 salaried employees14Management of other businesses with fewer than 10 salaried employees15Management of commercial businesses without salaried employees16Management of hotel businesses without salaried employees17Management of other businesses without salaried employees20Associate Professions with degrees from 2nd and 3rd year university studies in physical sciences, chemistry, mathematics, and engineering21Associate Professions with degrees from 2nd and 3rd year university studies in natural sciences and healthcare22Associate Professions with degrees from 2nd and 3rd year university studies in education23Legal professionals24Business organizational professionals, social science and human science professionals, associated with degrees from 2nd and 3rd year university studies25Writers, artists, and other related professions26Associate Professions with degrees from 1st year university studies in physical sciences, chemistry, mathematics, and engineering27Associate Professions with degrees from 1st year university studies in natural sciences and healthcare, except opticians, physical therapists, and similar28Associate Professions with degrees from 1st year university studies in education29Other associate professions with degrees from 1st year university studies30Technicians in physical sciences, chemistry, and engineering31Technicians in natural sciences and healthcare32Technicians in nursery school, flight instructors, navigation and driving education33Support professionals in financial and commercial operations34Support professionals in administrative process35Other technicians and support professionals40Employees in accounting and financial services; and production and transportation support services41Employees in libraries, mail services, and similar42Operators of office machinery43Administrative assistants without public attention tasks, not classified above44Administrative assistants with public attention tasks, not classified above45Direct public service employees in travel agencies, receptionists and telephone operators46Cashiers, ticket vendors and other similar employees with direct public contact50Workers in restaurant services51Workers in personal services52Workers in protection and security services53Commercial store clerks and similar60Specialized agricultural workers61Specialized ranching workers62Specialized workers in other agricultural activities63Fishermen and specialized workers in the fishing industry70Job-site supervisors and other construction supervisors71Workers in structural construction work and similar72Workers in construction finishing work and similar; painters and similar workers73Supervisors in metal works and bosses of mechanic shops74Workers in extractive industries75Welders, laminators, metal structure assemblers, blacksmiths, toolmakers, and similar76Mechanics and adjusters of machinery and electrical and electronic machinery and equipment77Precision mechanics in metals, graphic arts workers, potters, glass workers, artisans in wood, textiles, and leather78Workers in food, beverage, and tobacco industries79Workers in wood treatments, cabinetmakers, workers in the textile industry, clothing manufacture, fur, leather, footwear and similar industries80Team leaders, and supervisors of non-mobile industrial installations81Operators of non-mobile industrial installations and similar82Supervisors of operators of non-mobile machinery83Operators of non-mobile machinery84Assemblers85Locomotive machinists, operator of agricultural machinery and heavy mobile equipment and sailors86Vehicle conductors for urban transportation and highway transportation90Non-specialized commercial workers91Domestic employees and other cleaning personnel inside buildings92Building concierges, window washers and guards93Other non-specialized service workers94Agriculture and fishing day laborers95Mining day laborers96Construction workers97Day laborers in manufacturing industries98Day laborers in transportation and unloading99NIU (not in universe)Work: Occupation Variables -- PERSONClass of worker<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A436 ES01A438"><span class="em">7. What is your class of work?</span><br />Business owner, professional, or self-employed worker<br /><div class="i1">[] self-employed <br />[] not self-employed<br /><br />Salaried, employed by someone else<br />[] Full-time or indefinite contract <br />[] occasional or temporary worker<br /><br />Other situations:<br />[] Employed in family business <br />[] member of a cooperative</div><br /></svar>Spain 2001: Persons age 16+ who were working last week [discrepancies: none]This variable indicates the respondent's professional situation.1Owner, businessman or professional who employs personnel2Businessman or professional who does not employ personnel3Person who has a permanent job4Person who has an occasional or temporary job5Other situation (family help)6Other situation (member of cooperative)9NIU (not in universe)Work Variables -- PERSONIndustry<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a=" ES01A437" v="ES01A437 ES01A438"><span class="em">8. What is the principal activity of the business or place where you work?</span><br /><div class="i1">Look in the Activities Table (on the white sheet with a red title) and write the corresponding number.<br />_ _ _<br />If you did not find an activity that matches the one in your workplace or you are uncertain, write the activity below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons age 16+ who were working last week [discrepancies: none]This variable indicates the activity code of the respondent's place of work.00NIU (not in universe)01Agriculture, ranching, hunting and related service activities02Forestry, forest extraction and related service activities05Fishing, fishing industry and related service activities10Extraction and agglomeration of anthracite, coke, lignite, and peat11Extraction of crude petroleum and natural gas, service activities related to petroleum and gas, except prospecting activities12Extraction of uranium and thorium minerals13Extraction of metal minerals14Extraction of non-metal minerals and non-energy minerals15Food and beverage industries16Tobacco industry17Textile industry18Clothing and leather industries19Leather preparation, tanning, and finishing; manufacture of bags and luggage, tack, leatherworks, and footwear20Wood and cork industries, except furniture; basket and palm weaving21Paper industry22Editing, graphic arts, and reproduction of recording materials23Coke works, petroleum refining, nuclear fuel treatment24Chemical industry25Manufacture of rubber products and plastic materials26Manufacture of other non-metal mineral products27Metallurgy28Manufacture of metal products, except machinery and equipment29Machinery and mechanical equipment manufacturing industry30Manufacture of office machinery and informatics equipment31Manufacture of electrical machinery and materials32Manufacture of electronic material; manufacture of radio, television, and communications equipment and appliances33Manufacture of medical-surgical equipment and instruments, precision and optical instruments, watch making34Manufacture of motor vehicles, tow trucks and semi-trailer trucks35Manufacture or other transportation material36Manufacture of furniture; other manufacturing industries37Recycling40Production and distribution of electrical energy, gas, vapor and hot water41Water collection, purification, and distribution45Construction50Sale, maintenance, and repair of motor vehicles, motorcycles, cycle motors; retail sale of motor vehicle fuels51Wholesale commerce and commercial middle-men, except motor vehicles and motorcycles52Retail commerce, except motor vehicles, motor cycles and cycle motors; repair of personal items and household goods55Hotel industry60Land transportation, pipeline transportation61Maritime, coastal and fluvial transportation62Air and space transportation63Activities related to transportation; travel agency activities64Mail and telecommunications65Financial services, except insurance and pension plans66Insurance and pension plans, except obligatory social security67Activities related to financial services70Real estate activities71Rental of machinery and equipment without operators, personal items and household goods72Informatics activities73Research and development74Other business activities75Public administration, defense and obligatory social security80Education85Healthcare and veterinary activities, social services90Public sanitation activities91Associated activities92Recreational, cultural, sports activities93Diverse personal service activities95Households that employ domestic personnel99Extraterritorial organizationsWork: Industry Variables -- PERSONSocial economic condition<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A436 ES01A438"><span class="em">7. What is your class of work?</span><br />Business owner, professional, or self-employed worker<br /><div class="i1">[] self-employed <br />[] not self-employed<br /><br />Salaried, employed by someone else<br />[] Full-time or indefinite contract <br />[] occasional or temporary worker<br /><br />Other situations:<br />[] Employed in family business <br />[] member of a cooperative</div><br /></svar></p>
<p><svar a=" ES01A437" v="ES01A437 ES01A438"><span class="em">8. What is the principal activity of the business or place where you work?</span><br /><div class="i1">Look in the Activities Table (on the white sheet with a red title) and write the corresponding number.<br />_ _ _<br />If you did not find an activity that matches the one in your workplace or you are uncertain, write the activity below:<br />_ _ _ _ _ _ _ _ _ _ _ _<br />_ _ _ _ _ _ _ _ _ _ _ _</div><br /></svar>Spain 2001: Persons age 16+ who were working last week [discrepancies: none]This variable indicates the respondent's socioeconomic condition.01Salaried agricultural businessmen02Non-salaried agricultural businessmen03Members of agricultural cooperatives04Directors and bosses of agricultural businesses and enterprises05Remaining agricultural workers06Professionals, technicians, and similar who are self-employed in their activity, with or without salary07Non-agricultural businessmen with salaries08Non-agricultural businessmen without salary09Members of non-agricultural cooperatives10Directors and bosses of non-agricultural businesses and associations, directive personnel of public administration and members of state organizations, autonomous communities and local corporations11Professionals, technicians and similar who practice their profession as employees of someone else12Personnel in occupations specific to public administration13Remaining administrative and commercial personnel14Remaining service personnel15Non-agricultural supervisors and overseers16Non-agricultural qualified and specialized operators17Non-agricultural non-specialized operators18Professionals in the armed forces19Not classifiable by socioeconomic condition99NIU (not in universe)Work Variables -- PERSONHours of work per week<svar v="ES01A425 ES01A426 ES01A427 ES01A428 ES01A429 ES01A430 ES01A431 ES01A432 ES01A433 ES01A434 ES01A435 ES01A436 ES01A437 ES01A438 ES01A439"><span class="em">Remember:</span> This questionnaire should only be completed if the person is at least 16 years old and was studying or working last week.<br /></svar></p>
<p><svar a="all" v="ES01A439"><span class="em">9. How many hours do you normally work each week?</span><br /><div class="i1">_ _ Do not count overtime, vacations, or time off.</div><br /></svar>Spain 2001: Persons age 16+ who were working last week [discrepancies: none]This variable indicates the respondent's usual time of work.00NIU (not in universe)011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858586868787888889899090919192929393949495959696979798989999Work Variables -- PERSONNumber of family in the householdSpain 2001: Persons who reside in the private households [discrepancies: none]This variable indicates the respondent's household number in the dwelling.0011223344559NIU (not in universe)Other Person Variables -- PERSONPerson number of the fatherSpain 2001: All personsThis variable indicates the recoded number of the respondent's father.0110220330440550660770880991010111112121313141415151616171718181919202099UnknownConstructed Family Interrelationship Variables -- PERSONPerson number of the motherSpain 2001: All personsThis variable indicates the recoded number of the respondent's mother.01102203304405506607708809910101111121213131414151516161717181819192020212199UnknownConstructed Family Interrelationship Variables -- PERSONPerson number of the spouse or partnerSpain 2001: All personsThis variable indicates the recoded number of the respondent's spouse or partner.011022033044055066077088099101011111212131314141515161617171818191920202121222299UnknownConstructed Family Interrelationship Variables -- PERSONCondition of nuclear familySpain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the respondent's condition of nuclear family.0Does not belong to a nuclear family1Belongs to a nuclear family as father/mother or partner2Belongs to a nuclear family as son/daughter9NIU (not in universe)Other Person Variables -- PERSONNumber of the nucleus in the householdSpain 2001: Persons who reside in the household [discrepancies: none]This variable indicates the number of the nucleus in the respondent's household.00112233445566779NIU (not in universe)Other Person Variables -- PERSONType of couple (de facto or legal)Spain 2001: Persons in married union [not verifiable]This variable indicates the respondent's type of domestic union (de facto or legal).1Legal couple2De facto couple (both unmarried)3Other type of de facto couple9NIU (not in universe)Demographic Variables -- PERSONType of coupleSpain 2001: Persons in married union [not verifiable]This variable indicates the respondent's type of couple.1Couple of two sexes2Same sex couple, feminine3Same sex couple, masculine9NIU (not in universe)Demographic Variables -- PERSON