Population Census; Housing Census 2011DDI_AUT_2011_PHC_v01_M_v7.6_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSApril 1, 2025IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 7.6 October 2025 : NEW FEATURES.
--NO "new features" listed in Revision History
NEW SAMPLES.
--Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries.
--91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS.
SUPPLEMENTAL DATA.
--No "supplemental data" listed in revision history
NEW VARIABLES.
--New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml).
--Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf).
EDITED SAMPLES.
--For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL.
EDITED VARIABLES.
--For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren.
--In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)".
--MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007.
--In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999).
--In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample.
--The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born.
--The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status.
--In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007.
--Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all".
--Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence.
Population Census; Housing Census 2011 - IPUMS SubsetPHC at2011a (IPUMS Harmonized Subset)AUT_2011_PHC_v01_M_v7.6_A_IPUMSStatistics AustriaIPUMS(c) Copyright 2011, Statistics Austria and Minnesota Population CenterStatistics AustriaPopulation and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.6Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDEducation Variables -- PERSONGeography: A-E Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDMigration: A-E Variables -- PERSONHousehold Economic Variables -- HOUSEHOLDTechnical Person Variables -- PERSONConstructed Household Variables -- HOUSEHOLDWork: Industry Variables -- PERSONOther Person Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONTechnical Person Variables -- PERSONMigration: Global Variables -- PERSONOctober 31, 2011None: register-based census.AustriaEurostat NUTS3 region (Nomenclature of Territorial Units for Statistics)Persons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: No
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: Structurally separate units with their own entrance from the street, or a stairwell in permanent buildings, that are suitable for residential purposes. Dwellings consist of one room or multiple rooms with ancillary rooms. It makes no difference whether a kitchen or kitchenette is present.
- Households: All persons living in a dwelling or similar accommodation as their main residence form a private household. The size of the household therefore corresponds to the number of people with their main residence in the dwelling. Up to the 1991 Population Census, the housekeeping-unit concept was used, according to which all persons living together and jointly managing a household formed a private household.
- Group quarters: An institutional household is an establishment that is used for the accommodation and care of a group of persons – normally over the longer term. The term covers boarding schools, student residences, senior citizen and nursing homes, monasteries, military barracks, penal institutions,refugee centres, facilities for disabled, socially deprived or homeless persons, homes for young people or trainees and similar institutions. In contrast to the 2001 Population Census, the 2011 register-based census also considers non-institutional forms of living together in collective living quarters (e.g. company accommodation, hotels, etc.) as institutional households. Solely main residence registrations are recorded. Because of secondary residence registrations, the actual occupancy of individual facilities may be higher.Population with a main residence in the territory Additional notes on a sample that is part of this study: Austria 2011
MICRODATA SOURCE: Statistics Austria
SAMPLE SIZE (person records): 839501.
SAMPLE DESIGN: Systematic sample of every 10th private household after a random start; 100% data of institutional households; drawn by Statistics Austria
Face-to-face [f2f]None: register-based census.de jure, CENSUS DAY: October 31, 2011Self-weighting. Expansion factor=10IPUMS 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.Statistics AustriaSteven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6
Researchers should also acknowledge the statistical agency that originally produced the data: Austria, Statistics Austria. Population Census; Housing Census 2011
The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions:
IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
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.V7.6 Extract for at2011a, 2025AUT2011_PHC-H-H.datHousehold records375,236asciiMinnesota Population CenterVersion 7.5, IPUMS sampleAUT2011_PHC-P-H.datPerson records839501asciiMinnesota 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 Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Côte d'Ivoire388Jamaica400Jordan404Kenya417Kyrgyz 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 2001340201301Honduras 2013348197001Hungary 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 LFS384198801Côte d'Ivoire 1988384199801Côte d'Ivoire 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009404201901Kenya 2019417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008454201801Malawi 2018458197001Malaysia 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 2000496201001Mongolia 2010496202001Mongolia 2020504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007508201701Mozambique 2017104201401Myanmar 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 2017608199721Philippines 1997 Q1 LFS608199722Philippines 1997 Q2 LFS608199723Philippines 1997 Q3 LFS608199724Philippines 1997 Q4 LFS608199821Philippines 1998 Q1 LFS608199822Philippines 1998 Q2 LFS608199823Philippines 1998 Q3 LFS608199824Philippines 1998 Q4 LFS608199921Philippines 1999 Q1 LFS608199922Philippines 1999 Q2 LFS608199923Philippines 1999 Q3 LFS608199924Philippines 1999 Q4 LFS608200021Philippines 2000 Q1 LFS608200022Philippines 2000 Q2 LFS608200023Philippines 2000 Q3 LFS608200024Philippines 2000 Q4 LFS608200121Philippines 2001 Q1 LFS608200122Philippines 2001 Q2 LFS608200123Philippines 2001 Q3 LFS608200124Philippines 2001 Q4 LFS608200221Philippines 2002 Q1 LFS608200222Philippines 2002 Q2 LFS608200223Philippines 2002 Q3 LFS608200224Philippines 2002 Q4 LFS608200321Philippines 2003 Q1 LFS608200322Philippines 2003 Q2 LFS608200323Philippines 2003 Q3 LFS608200324Philippines 2003 Q4 LFS608200421Philippines 2004 Q1 LFS608200422Philippines 2004 Q2 LFS608200423Philippines 2004 Q3 LFS608200424Philippines 2004 Q4 LFS608200521Philippines 2005 Q1 LFS608200522Philippines 2005 Q2 LFS608200523Philippines 2005 Q3 LFS608200524Philippines 2005 Q4 LFS608200621Philippines 2006 Q1 LFS608200622Philippines 2006 Q2 LFS608200623Philippines 2006 Q3 LFS608200624Philippines 2006 Q4 LFS608200721Philippines 2007 Q1 LFS608200722Philippines 2007 Q2 LFS608200723Philippines 2007 Q3 LFS608200724Philippines 2007 Q4 LFS608200821Philippines 2008 Q1 LFS608200822Philippines 2008 Q2 LFS608200823Philippines 2008 Q3 LFS608200824Philippines 2008 Q4 LFS608200921Philippines 2009 Q1 LFS608200922Philippines 2009 Q2 LFS608200923Philippines 2009 Q3 LFS608200924Philippines 2009 Q4 LFS608201021Philippines 2010 Q1 LFS608201022Philippines 2010 Q2 LFS608201023Philippines 2010 Q3 LFS608201024Philippines 2010 Q4 LFS608201121Philippines 2011 Q1 LFS608201122Philippines 2011 Q2 LFS608201123Philippines 2011 Q3 LFS608201124Philippines 2011 Q4 LFS608201221Philippines 2012 Q1 LFS608201222Philippines 2012 Q2 LFS608201223Philippines 2012 Q3 LFS608201224Philippines 2012 Q4 LFS608201321Philippines 2013 Q1 LFS608201322Philippines 2013 Q2 LFS608201323Philippines 2013 Q3 LFS608201324Philippines 2013 Q4 LFS608201421Philippines 2014 Q1 LFS608201422Philippines 2014 Q2 LFS608201423Philippines 2014 Q3 LFS608201424Philippines 2014 Q4 LFS608201521Philippines 2015 Q1 LFS608201522Philippines 2015 Q2 LFS608201523Philippines 2015 Q3 LFS608201524Philippines 2015 Q4 LFS608201621Philippines 2016 Q1 LFS608201622Philippines 2016 Q2 LFS608201623Philippines 2016 Q3 LFS608201624Philippines 2016 Q4 LFS608201721Philippines 2017 Q1 LFS608201722Philippines 2017 Q2 LFS608201723Philippines 2017 Q3 LFS608201724Philippines 2017 Q4 LFS608201821Philippines 2018 Q1 LFS608201822Philippines 2018 Q2 LFS608201823Philippines 2018 Q3 LFS608201824Philippines 2018 Q4 LFS608201921Philippines 2019 Q1 LFS608201922Philippines 2019 Q2 LFS608201923Philippines 2019 Q3 LFS608199001Philippines 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 -- 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 -- HOUSEHOLDNomenclature of Territorial Units for Statistics 1, 2013 codes, EuropeENUTS1_2013 is the third regular amendment to the annexes to the ENUTS1 classification. ENUTS1_2013 was enforced on 31 December 2013 and was applied from 1 January 2015. ENUTS1_2013 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 (e.g. Turkey), and they are also incorporated into this variable.
The first 3-digits of ENUTS1_2013 variable provide the COUNTRY code followed by the 2-digit NUTS1 code. The labels include the standard code for the NUTS1 (2013) system and the name of the NUTS1 region, separated by a slash.
Smaller sub-national units are available for most countries in ENUTS2_2013 and ENUTS3_2013.
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.04001AT1 / Ostösterreich04002AT2 / Sudösterreich04003AT3 / Westösterreich72401ES1 / Noroeste72402ES2 / Noreste72403ES3 / Comunidad de Madrid72404ES4 / Centro72405ES5 / Este72406ES6 / Sur72407ES7 / Canarias72409ES / Unknown25001FR1 / Île-de-France25002FRB / Centre - Val de Loire25003FRC / Bourgogne-Franche-Comté25004FRD / Normandie25005FRE / Nord-Pas de Calais-Picardie25006FRF / Alsace-Champagne-Ardenne-Lorraine25007FRG / Pays de la Loire25008FRH / Bretagne25009FRI / Aquitaine-Limousin-Poitou-Charentes25010FRJ / Languedoc-Roussillon-Midi-Pyrénées25011FRK / Auvergne-Rhône-Alpes25012FRL / Provence-Alpes-Côte d'Azur25013FRM / Corse25025FRY / RUP FR-Régions Ultrapèriphèrique Françaises25099FR9 / Unknown30003EL3 / Attica30004EL4 / Aegean Islands Crete30005EL5 / Northern Greece30006EL6 / Central Greece37200IE0 / Ireland38003ITC / Nord-Ovest38006ITF / Sud38007ITG / Isole38008ITH / Nord-Est38009ITI / Centro61602PL2 / Makroregion Południowy61604PL4 / Makroregion Północno-Zachodni61605PL5 / Makroregion Południowo-Zachodni61606PL6 / Makroregion Północny61607PL7 / Makroregion Centralny61608PL8 / Makroregion Wschodni61609PL9 / Makroregion Województwo Mazowieckie62001PT1 / Continente62002PT2 / Região Autónoma dos Açores62003PT3 / Região Autónoma da Madeira64201RO1 / Macroreguinea Unu64202RO2 / Macroreguinea Doi64203RO3 / Macroreguinea Trei64204RO4 / Macroreguinea Patru70300SK0 / Slovensko75600CH0 / SwitzerlandGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 2, 2013 codes, EuropeENUTS2_2013 is the third regular amendment to the annexes to the ENUTS2 classification. ENUTS2_2013 was enforced on 31 December 2013 and was applied from 1 January 2015. ENUTS2_2013 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 (e.g. Turkey), and they are also incorporated into this variable.
The first 3-digits of ENUTS2_2013 variable provide the COUNTRY code followed by the 3-digit NUTS2 code. The labels include the standard code for the NUTS1 (2013) system and the name of the NUTS2 region, separated by a slash.
Smaller sub-national units are available for most countries in ENUTS3_2013. Larger sub-national units are available for most countries in ENUTS1_2013. 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.040011AT11 / Burgenland040012AT12 / Niederösterreich040013AT13 / Wien040021AT21 / Kärnten040022AT22 / Steiermark040031AT31 / Oberösterreich040032AT32 / Salzburg040033AT33 / Tirol040034AT34 / Vorarlberg724011ES11 / Galicia724012ES12 / Principado de Asturias724013ES13 / Cantabria724021ES21 / País Vasco724022ES22 / Comunidad Foral de Navarra724023ES23 / La Rioja724024ES24 / Aragón724030ES30 / Comunidad de Madrid724041ES41 / Castilla y León724042ES42 / Castilla-La Mancha724043ES43 / Extremadura724051ES51 / Cataluña724052ES52 / Comunidad Valenciana724053ES53 / Illes Balears724061ES61 / Andalucía724062ES62 / Región de Murcia724063ES63 / Ciudad Autónoma de Ceuta724064ES64 / Ciudad Autónoma de Melilla724070ES70 / Canarias724099ES / Unknown250010FR10 / Île-de-France250020FRB0 / Centre - Val de Loire250031FRC1 / Bourgogne250032FRC2 / Franche-Comté250041FRD1 / Basse-Normandie250042FRD2 / Haute-Normandie250051FRE1 / Nord-Pas de Calais250052FRE2 / Picardie250061FRF1 / Alsace250062FRF2 / Champagne-Ardenne250063FRF3 / Lorraine250070FRG0 / Pays de la Loire250080FRH0 / Bretagne250091FRI1 / Aquitaine250092FRI2 / Limousin250093FRI3 / Poitou-Charentes250101FRJ1 / Languedoc-Roussillon250102FRJ2 / Midi-Pyrénées250111FRK1 / Auvergne250112FRK2 / Rhône-Alpes250131FRL1 / Provence-Alpes-Côte d'Azur250140FRM0 / Corse250251FRY1 / Guadeloupe250252FRY2 / Martinique250253FRY3 / Guyane250254FRY4 / La Réunion250255FRY5 / Mayotte250999FR99 / Unknown300030EL30 / Attica300041EL41 / Northern Aegean300042EL42 / Southern Aegean300043EL43 / Crete300051EL51 / East Macedonia, Thrace300052EL52 / Central Macedonia300053EL53 / West Macedonia300054EL54 / Epirus300061EL61 / Thessalia300062EL62 / Ionian Islands300063EL63 / Western Greece300064EL64 / Central Greece300065EL65 / Pelopponese372004IE04 / Northern and Western372005IE05 / Southern372006IE06 / Eastern and Midland380031ITC1 / Piemonte + ITC2 / Valle d'Aosta/Vallée d'Aoste380033ITC3 / Liguria380034ITC4 / Lombardia380061ITF1 / Abruzzo380062ITF2 / Molise380063ITF3 / Campania380064ITF4 / Puglia380065ITF5 / Basilicata380066ITF6 / Calabria380071ITG1 / Sicilia380072ITG2 / Sardegna380081ITH1 / Provincia Autonoma di Bolzano/Bozen + ITH2 / Provincia Autonoma di Trento380083ITH3 / Veneto380084ITH4 / Friuli-Venezia Giulia380085ITH5 / Emilia-Romagna380091ITI1 / Toscana380092ITI2 / Umbria380093ITI3 / Marche380094ITI4 / Lazio616021PL21 / Małopolskie616022PL22 / Śląskie616041PL41 / Wielkopolskie616042PL42 / Zachodniopomorskie616043PL43 / Lubuskie616051PL51 / Dolnośląskie616052PL52 / Opolskie616061PL61 / Kujawsko-pomorskie616062PL62 / Warmińsko-mazurskie616063PL63 / Pomorskie616071PL71 / Łódzkie616072PL72 / Świętokrzyskie616081PL81 / Lubelskie616082PL82 / Podkarpackie616084PL84 / Podlaskie616091PL91 / Warszawski stołeczny + PL92 / Mazowieckie regionalny620011PT11 / Norte620015PT15 / Algarve620017PT17 / Área Metropolitana de Lisboa + PT16 / Centro620018PT18 / Alentejo620020PT20 / Região Autónoma dos Açores620030PT30 / Região Autónoma da Madeira642011RO11 / Nord-Vest642012RO12 / Centru642021RO21 / Nord-Est642022RO22 / Sud-Est642031RO31 / Sud-Muntenia642032RO32 / Bucharești-Ilfov642041RO41 / Sud-Vest Oltenia642042RO42 / Vest703001SK01 / Bratislavský kraj703002SK02 / Západné Slovensko703003SK03 / Stredné Slovensko703004SK04 / Východné Slovensko756001CH01 / Région Lémanique756002CH02 / Espace Mittelland756003CH03 / Nordwestschweiz756004CH04 / Zurich756005CH05 / Ostschweiz756006CH06 / Zentralschweiz756007CH07 / TicinoGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 3, 2013 codes, EuropeENUTS3_2013 is the third regular amendment to the annexes to the ENUTS3 classification. ENUTS3_2013 was enforced on 31 December 2013 and was applied from 1 January 2015. ENUTS3_2013 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 (e.g. Turkey), and they are also incorporated into this variable.
The first 3-digits of ENUTS3_2013 variable provide the COUNTRY code followed by the 4-digit NUTS3 code. The labels include the standard code for the NUTS3 (2013) system and the name of the NUTS3 region, separated by a slash.
Larger sub-national units are available for most countries in ENUTS1_2013 and ENUTS2_2013.
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.0400111AT111 / Mittelburgenland + AT113 / Südburgenland0400112AT112 / Nordburgenland0400121AT121 / Mostviertel-Eisenwurzen0400122AT122 / Niederösterreich-Süd0400123AT123 / Sankt Pölten0400124AT124 / Waldviertel0400125AT125 / Weinviertel0400126AT126 / Wiener Umland/Nordteil0400127AT127 / Wiener Umland/Südteil0400130AT130 / Wien0400211AT211 / Klagenfurt-Villach0400212AT212 / Oberkärnten0400213AT213 / Unterkärnten0400221AT221 / Graz0400222AT222 / Liezen0400223AT223 / Östliche Obersteiermark0400224AT224 / Oststeiermark0400225AT225 / West- und Südsteiermark0400226AT226 / Westliche Obersteiermark0400311AT311 / Innviertel0400312AT312 / Linz-Wels0400313AT313 / Mühlviertel0400314AT314 / Steyr-Kirchdorf0400315AT315 / Traunviertel0400321AT321 / Lungau + AT322 / Pinzgau-Pongau0400323AT323 / Salzburg und Umgebung0400331AT331 / Außerfern + AT334 / Tiroler Oberland0400332AT332 / Innsbruck0400333AT333 / Osttirol + AT335 / Tiroler Unterland0400341AT341 / Bludenz-Bregenzer Wald0400342AT342 / Rheintal-Bodenseegebiet7240111ES111 / A Coruña7240112ES112 / Lugo7240113ES113 / Ourense7240114ES114 / Pontevedra7240120ES120 / Asturias7240130ES130 / Cantabria7240211ES211 / Araba/Álava7240212ES212 / Gipuzkoa7240213ES213 / Bizkaia7240220ES220 / Navarra7240230ES230 / Rioja (La)7240241ES241 / Huesca7240242ES242 / Teruel7240243ES243 / Zaragoza7240300ES300 / Madrid7240411ES411 / Ávila7240412ES412 / Burgos7240413ES413 / León7240414ES414 / Palencia7240415ES415 / Salamanca7240416ES416 / Segovia7240417ES417 / Soria7240418ES418 / Valladolid7240419ES419 / Zamora7240421ES421 / Albacete7240422ES422 / Ciudad Real7240423ES423 / Cuenca7240424ES424 / Guadalajara7240425ES425 / Toledo7240431ES431 / Badajoz7240432ES432 / Cáceres7240511ES511 / Barcelona7240512ES512 / Girona7240513ES513 / Lleida7240514ES514 / Tarragona7240521ES521 / Alicante/Alacant7240522ES522 / Castellón/Castelló7240523ES523 / Valencia/València7240532ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera7240611ES611 / Almería7240612ES612 / Cádiz7240613ES613 / Córdoba7240614ES614 / Granada7240615ES615 / Huelva7240616ES616 / Jaén7240617ES617 / Málaga7240618ES618 / Sevilla7240620ES620 / Murcia7240630ES630 / Ceuta7240640ES640 / Melilla7240705ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote7240709ES709 / Santa Cruz de Tenerife + ES703 / El Hierro + ES706 / La Gomera + ES707 / La Palma7240999ES999 / Unknown3000303EL303 / Central Athens Regional Unit + EL301 / North Athens Regional Unit + EL302 / West Athens Regional Unit + EL304 / South Athens Regional Unit3000305EL305 / Prefecture of East Attiki3000306EL306 / Prefecture of West Attiki3000307EL307 / Piereas, Nisoi3000411EL411 / Lesvos, Lemnos3000412EL412 / Icaria, Samos3000413EL413 / Chios3000421EL421 / Kalymnos, Karpathos, Kos, Rhodos3000422EL422 / Andros, Thira, Kea, Milos, Mykonos, Naxos, Paros, Syros, Tinos3000431EL431 / Iraklio3000432EL432 / Lassithi3000433EL433 / Rethymno3000434EL434 / Chania3000511EL511 / Evros3000512EL512 / Xanthi3000513EL513 / Rodopi3000514EL514 / Drama3000515EL515 / Thasos, Kavala3000521EL521 / Imathia3000522EL522 / Thessaloniki3000523EL523 / Kilkis3000524EL524 / Pella3000525EL525 / Pieria3000526EL526 / Serres3000527EL527 / Chalkidiki3000531EL531 / Grevena, Kozani3000532EL532 / Kastoria3000533EL533 / Florina3000541EL541 / Arta, Preveza3000542EL542 / Thesprotia3000543EL543 / Ioannina3000611EL611 / Karditsa, Trikala3000612EL612 / Larissa3000613EL613 / Magnissia, Sporades3000621EL621 / Zakynthos3000622EL622 / Kerkyra3000623EL623 / Ithaca, Kefallinia3000624EL624 / Lefkada3000631EL631 / Etolia and Akarnania3000632EL632 / Achaia3000633EL633 / Ilia3000641EL641 / Viotia3000642EL642 / Evia, Euboea3000643EL643 / Evrytania3000644EL644 / Fthiotida3000645EL645 / Fokida3000651EL651 / Argolida, Arkadia3000652EL652 / Korinthia3000653EL653 / Lakonia, Messenia3720041IE041 / Border3720042IE042 / West3720051IE051 / Mid-West3720052IE052 / South-East3720053IE053 / South-West3720061IE061 / Dublin3720062IE062 / Mid-East3720063IE063 / Midlands3800311ITC11 / Torino3800312ITC12 / Vercelli3800313ITC13 / Biella3800314ITC14 / Verbano-Cusio-Ossola3800315ITC15 / Novara3800316ITC16 / Cuneo3800317ITC17 / Asti3800318ITC18 / Alessandria3800320ITC20 / Valle d'Aosta/Vallée d'Aoste3800331ITC31 / Imperia3800332ITC32 / Savona3800333ITC33 / Genova3800334ITC34 / La Spezia3800341ITC41 / Varese3800342ITC42 / Como3800343ITC43 / Lecco3800344ITC44 / Sondrio3800346ITC46 / Bergamo3800347ITC47 / Brescia3800348ITC48 / Pavia3800349ITC49 / Lodi3800350ITC4A / Cremona3800351ITC4B / Mantova3800352ITC4C / Milano3800353ITC4D / Monza e della Brianza3800611ITF11 / L'Aquila3800612ITF12 / Teramo3800613ITF13 / Pescara3800614ITF14 / Chieti3800621ITF21 / Isernia3800622ITF22 / Campobasso3800631ITF31 / Caserta3800632ITF32 / Benevento3800633ITF33 / Napoli3800634ITF34 / Avellino3800635ITF35 / Salerno3800643ITF43 / Taranto3800644ITF44 / Brindisi3800645ITF45 / Lecce3800646ITF46 / Foggia3800647ITF47 / Bari3800648ITF48 / Barletta-Andria-Trani3800651ITF51 / Potenza3800652ITF52 / Matera3800661ITF61 / Cosenza3800662ITF62 / Crotone3800663ITF63 / Catanzaro3800664ITF64 / Vibo Valentia3800665ITF65 / Reggio di Calabria3800711ITG11 / Trapani3800712ITG12 / Palermo3800713ITG13 / Messina3800714ITG14 / Agrigento3800715ITG15 / Caltanissetta3800716ITG16 / Enna3800717ITG17 / Catania3800718ITG18 / Ragusa3800719ITG19 / Siracusa3800725ITG25 / Sassari3800721ITG2A / Ogliastra3800722ITG2B / Medio Campidano3800723ITG2C / Carbonia-Iglesias3800726ITG26 / Nuoro3800727ITG27 / Cagliari3800728ITG28 / Oristano3800729ITG29 / Olbia-Tempio3800810ITH10 / Bolzano-Bozen3800820ITH20 / Trento3800831ITH31 / Verona3800832ITH32 / Vicenza3800833ITH33 / Belluno3800834ITH34 / Treviso3800835ITH35 / Venezia3800836ITH36 / Padova3800837ITH37 / Rovigo3800841ITH41 / Pordenone3800842ITH42 / Udine3800843ITH43 / Gorizia3800844ITH44 / Trieste3800851ITH51 / Piacenza3800852ITH52 / Parma3800853ITH53 / Reggio nell'Emilia3800854ITH54 / Modena3800855ITH55 / Bologna3800856ITH56 / Ferrara3800857ITH57 / Ravenna3800858ITH58 / Forlì-Cesena3800859ITH59 / Rimini3800911ITI11 / Massa-Carrara3800912ITI12 / Lucca3800913ITI13 / Pistoia3800914ITI14 / Firenze3800915ITI15 / Prato3800916ITI16 / Livorno3800917ITI17 / Pisa3800918ITI18 / Arezzo3800919ITI19 / Siena3800920ITI1A / Grosseto3800921ITI21 / Perugia3800922ITI22 / Terni3800931ITI31 / Pesaro e Urbino3800932ITI32 / Ancona3800933ITI33 / Macerata3800934ITI34 / Ascoli Piceno3800935ITI35 / Fermo3800941ITI41 / Viterbo3800942ITI42 / Rieti3800943ITI43 / Roma3800944ITI44 / Latina3800945ITI45 / Frosinone3800733Sud Sardegna6420111RO111 / Bihor6420112RO112 / Bistrita-Nasaud6420113RO113 / Cluj6420114RO114 / Maramures6420115RO115 / Satu Mare6420116RO116 / Salaj6420121RO121 / Alba6420122RO122 / Brasov6420123RO123 / Covasna6420124RO124 / Harghita6420125RO125 / Mures6420126RO126 / Sibiu6420211RO211 / Bacau6420212RO212 / Botosani6420213RO213 / Iasi6420214RO214 / Neamt6420215RO215 / Suceava6420216RO216 / Vaslui6420221RO221 / Braila6420222RO222 / Buzau6420223RO223 / Constanta6420224RO224 / Galati6420225RO225 / Tulcea6420226RO226 / Vrancea6420311RO311 / Arges6420312RO312 / Calarasi6420313RO313 / Dâmbovita6420314RO314 / Giurgiu6420315RO315 / Ialomita6420316RO316 / Prahova6420317RO317 / Teleorman6420321RO321 / Bucuresti6420411RO411 / Dolj6420412RO412 / Gorj6420413RO413 / Mehedinti6420414RO414 / Olt6420415RO415 / Vâlcea6420421RO421 / Arad6420422RO422 / Caras-Severin6420423RO423 / Hunedoara6420424RO424 / Timis7030010SK010 / Bratislavský kraj7030021SK021 / Trnavský kraj7030022SK022 / Trenčiansky kraj7030023SK023 / Nitriansky kraj7030031SK031 / Žilinský kraj7030032SK032 / Banskobystrický kraj7030041SK041 / Prešovský kraj7030042SK042 / Košický kraj7560011CH011 / Vaud7560012CH012 / Valais7560013CH013 / Geneva7560021CH021 / Bern7560022CH022 / Freiburg7560023CH023 / Solothurn7560024CH024 / Neuchatel7560025CH025 / Jura7560031CH031 / Basel-Stadt7560032CH032 / Basel-Landschaft7560033CH033 / Aargau7560040CH040 / Zurich7560051CH051 / Glarus7560052CH052 / Schaffhausen7560053CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden7560055CH055 / St. Gallen7560056CH056 / Graubundun7560057CH057 / Thurgau7560061CH061 / Luzern7560062CH062 / Uri7560063CH063 / Schwyz7560064CH064 / Obwalden7560065CH065 / Nidwalden7560066CH066 / Zug7560070CH070 / TicinoGeography: 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 numeric variable listing the population density in persons per square kilometer.
Codes0 = Unknown.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 numeric variable listing the population density in persons per square kilometer.
Codes0 = Unknown.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 numeric variable listing the area in square kilometers.
Codes0 = Unknown.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 numeric variable listing the area in square kilometers.
Codes0 = Unknown.Geography: Global Variables -- HOUSEHOLDAustria, State 1971 - 2011 [Level 1; consistent boundaries, GIS]GEO1_AT identifies the household's state within Austria in all sample years. States are the first level administrative units of the country. GEO1_AT is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_AT can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Austria 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.040011Burgenland040012Niederösterreich040013Wien040021Kärnten040022Steiermark040031Oberösterreich040032Salzburg040033Tirol040034VorarlbergGeography: A-E Variables -- HOUSEHOLDAustria, State 2011 [Level 1, GIS]GEO1_AT2011 identifies the household's state within Austria in 2011. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_AT2011 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Austria 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.011Burgenland012Niederösterreich013Wien021Kärnten022Steiermark031Oberösterreich032Salzburg033Tirol034VorarlbergGeography: A-E Variables -- HOUSEHOLDAustria, Enuts 3 1971 - 2011 [Level 2; consistent boundaries, GIS]GEO2_AT identifies the household's ENUTS 3 within Austria in all sample years. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. We are using ENUTS 3 as the second level administrative units of the country, after states. GEO2_AT is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO2_AT can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Austria 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.040011001Mittelburgenland, Südburgenland040011002Nordburgenland040012004Mostviertel-Eisenwurzen040012005Niederösterreich-Süd040012006Sankt Pölten040012007Waldviertel040012008Weinviertel040012009Wiener Umland-Nordteil040012010Wiener Umland-Südteil040013011Wien040021012Klagenfurt-Villach040021013Oberkärnten040021014Unterkärnten040022015Graz040022016Liezen040022017Östliche Obersteiermark040022018Oststeiermark040022019West- und Südsteiermark040022020Westliche Obersteiermark040031021Innviertel040031022Linz-Wels040031023Mühlviertel040031024Steyr-Kirchdorf040031025Traunviertel040032026Lungau, Pinzgau-Pongau040032028Salzburg, Umgebung040033029Außerfern, Tiroler Oberland040033030Innsbruck040033031Osttirol, Tiroler Unterland040034034Bludenz-Bregenzer Wald040034035Rheintal-BodenseegebietGeography: A-E Variables -- HOUSEHOLDAustria, Enuts 3 2011 [Level 2, GIS]GEO2_AT2011 identifies the household's ENUTS 3 within Austria in 2011. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. We are using ENUTS 3 as the second level administrative units of the country, after states. A GIS map (in shapefile format), corresponding to GEO2_AT2011 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Austria 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.011001Mittelburgenland and Südburgenland011002Nordburgenland012004Mostviertel-Eisenwurzen012005Niederösterreich-Süd012006Sankt Pölten012007Waldviertel012008Weinviertel012009Wiener Umland-Nordteil012010Wiener Umland-Südteil013011Wien021012Klagenfurt-Villach021013Oberkärnten021014Unterkärnten022015Graz022016Liezen022017Östliche Obersteiermark022018Oststeiermark022019West- und Südsteiermark022020Westliche Obersteiermark031021Innviertel031022Linz-Wels031023Mühlviertel031024Steyr-Kirchdorf031025Traunviertel032026Lungau and Pinzgau-Pongau032028Salzburg und Umgebung033029Außerfern and Tiroler Oberland033030Innsbruck033031Osttirol and Tiroler Unterland034034Bludenz-Bregenzer Wald034035Rheintal-BodenseegebietGeography: A-E 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 -- 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 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 -- 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 -- HOUSEHOLDDwelling numberAustria 2011: All recordsThis variable indicates the dwelling number.This is a 7-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdAustria 2011: All recordsThis variable indicates the number of persons in the household.001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503737038380393904040041410424204343044440454504646047470484804949050500515105454055550565605757061610626206363064640656506767068680707007171077770787807979081810828208585086860929209999100100101101107107111111115115117117119119126126136136141141169169179179180180240240249249260260277277289289306306351351356356Technical Household Variables -- HOUSEHOLDDwelling created by splitting apart a large dwelling or householdAustria 2011: All recordsThis variable indicates if the dwelling was 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 -- HOUSEHOLDNumber of occupants in the dwellingAustria 2011: Conventional dwellings [discrepancies: none]This variable indicates the number of occupants in the dwelling.112233445566+0NIU (not in universe)Technical Household Variables -- HOUSEHOLDHousing arrangementsAustria 2011: All householdsThis variable indicates whether the household lives in a conventional dwelling or in some other type of housing unit.1Persons living in conventional dwellings2Persons living in other housing unitsGroup Quarters Variables -- HOUSEHOLDNumber of rooms in the dwellingAustria 2011: Conventional dwellings [discrepancies: none]This variable indicates the number of rooms in the dwelling.112233 to 546+0NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms per occupantAustria 2011: Conventional dwellings [discrepancies: none]This variable indicates number of rooms per occupant.1Less than 0.520.5 to 131 to 1.2541.25 to 1.551.5 to 262 to 2.572.5 to 383+0NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDUseful floor space of dwelling in square metersAustria 2011: Conventional dwellings [discrepancies: none]This variable indicates square meters of useful floor space of dwelling.1Less than 30230 to 40340 to 50450 to 60560 to 80680 to 1007100 to 1208120 to1509150+0NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDDensity standard:useful floor space in square meters per occupantAustria 2011: Conventional dwellings [discrepancies: none]This variable indicates the density standard in square meters of useful floor space in the dwelling per occupant.1Less than 10210 to 15315 to 20420 to 30530 to 40640 to 60760 to 80880+0NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDTenure status of the dwellingAustria 2011: Conventional dwellings [discrepancies: none]This variable indicates whether the dwelling is owned or rented by the household.1Owner-occupied 2Rented 3Other type of ownership0NIU (not in universe)Household Economic Variables -- HOUSEHOLDType of buildingAustria 2011: All householdsThis variable indicates the type of building.1Residential buildings with one conventional dwelling2Residential buildings with two conventional dwellings3Residential buildings with three or more conventional dwellings4Other buildingsDwelling Characteristics Variables -- HOUSEHOLDNumber of conventional dwellings in the buildingAustria 2011: All householdsThis variable indicates the number of conventional dwellings in the building.0No conventional dwellings112233 to 546 to10511 to 20621+Dwelling Characteristics Variables -- HOUSEHOLDPeriod of constructionAustria 2011: All householdsThis variable indicates the period of construction of the building.1Before 191921919 to 1944 31945 to 1960 41961 to 1970 51971 to 1980 61981 to 1990 71991 to 2000 82001 and laterDwelling Characteristics Variables -- HOUSEHOLDOwnership of buildingAustria 2011: All householdsThis variable indicates if the building is owned by individuals or by a private or public entity or association.1One or more persons2Public bodies3Limited profit housing associations4Other legal entitiesDwelling Characteristics Variables -- HOUSEHOLDType of private householdAustria 2011: All householdsThis variable indicates the type of private household.01One-person households02Multi-person households03Married couples without resident children04Married couples with at least one resident child under 2505Married couples, youngest resident son or daughter 25 or older06Consensual union couples without resident children07Consensual union couples with at least one resident child under 2508Consensual union couples, youngest resident son or daughter 25 or older09Lone father households with at least one resident child under 2510Lone father households, youngest resident son or daughter 25 or older11Lone mother households with at least one resident child under 2512Lone mother households, youngest resident son or daughter 25 or older13Two or more-family households14Non-private householdsConstructed Household Variables -- HOUSEHOLDNumber of persons in householdAustria 2011: Private households [discrepancies: none]This variable indicates the number of persons in the household.112233445566+0NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of persons under the age of 15 in the householdAustria 2011: Private households [discrepancies: none]This variable indicates the number of persons under the age of 15 in the household.0No person1122334455+9NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of persons under the age of 18 in the householdAustria 2011: Private households [discrepancies: none]This variable indicates the number of persons under the age of 18 in the household.0No person1122334455+9NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of persons aged 65 or over in the householdAustria 2011: Private households [discrepancies: none]This variable indicates the number of persons aged 65 or over in the household.0No person112233+9NIU (not in universe)Constructed Household Variables -- HOUSEHOLDType of one-family householdAustria 2011: One-family private households [discrepancies: none]This variable indicates the type of one-family household.1One-family household without further person2One-family household with further person0NIU (not in universe)Constructed Household Variables -- HOUSEHOLDStrataAustria 2011: 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 3-digit numeric variable with 0 implied decimal placesGeography: A-E 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 -- 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 -- 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 -- 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 -- 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, AustriaEDUCAT indicates the highest educational level in Austria that the person completed.00NIU (not in universe)10Primary education20Compulsory (lower) secondary school30Upper secondary education31Higher general secondary32Higher technical and vocational secondary school33Intermediate technical and vocational school34Apprenticeship training40Non-university education41Technical or vocational course42(Academic) Intermediate degrees50University, college60Doctorate99UnknownEducation 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)301Unavailable jobseekers302Available potential jobseekers310Housework320Health reasons, unable to work, or disabled321Permanent 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 -- 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.
Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit]
Argentina 1980 - see Variable: AR1980A_IND - Industry
Argentina 1991 - see Variable: AR1991A_IND - Industry
Argentina 2001 - see Variable: AR2001A_IND - Industry
Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work
Armenia 2011 - see Variable: AM2011A_IND - Industry
Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch
Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch
Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch
Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch
Austria 2011 - see Variable: AT2011A_IND - Industry
Bangladesh 1991 - see Variable: BD1991A_IND - Industry
Bangladesh 2001 - see Variable: BD2001A_IND - Main work field
Bangladesh 2011 - see Variable: BD2011A_IND - Industry
Belarus 2009 - see Variable: BY2009A_ECONACT - Industry
Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit)
Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits)
Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits)
Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit)
Bolivia 1976 - see Variable: BO1976A_IND - Industry
Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits
Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits
Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit)
Botswana 1981 - see Variable: BW1981A_IND - Industry
Botswana 1991 - see Variable: BW1991A_IND - Industry
Botswana 2001 - see Variable: BW2001A_IND - Industry
Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits
Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry
Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry
Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry
Brazil 1991 - see Variable: BR1991A_IND - Industry
Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits
Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010
Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity
Cambodia 1998 - see Variable: KH1998A_IND - Industry
Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits)
Cambodia 2008 - see Variable: KH2008A_IND - Industry
Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits)
Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit)
Cameroon 2005 - see Variable: CM2005A_IND - Industry
Canada 1971 - see Variable: CA1971A_IND - Industry
Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification)
Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification)
Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification)
Canada 2011 - see Variable: CA2011A_IND - Industry
Chile 1960 - see Variable: CL1960A_IND - Industry
Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit)
Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit)
Chile 1992 - see Variable: CL1992A_IND - Industry
Chile 2002 - see Variable: CL2002A_IND - Industry
Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit)
China 1982 - see Variable: CN1982A_INDUSTRY - Industry
China 1990 - see Variable: CN1990A_IND - Industry
China 2000 - see Variable: CN2000A_IND - Industry (2-digit)
Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits
Colombia 1973 - see Variable: CO1973A_IND - Industry
Colombia 1993 - see Variable: CO1993A_IND - Industry
Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit)
Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits
Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits
Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits
Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits
Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit
Cuba 2002 - see Variable: CU2002A_IND - Industry
Cuba 2012 - see Variable: CU2012A_IND - Industry
Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed)
Dominican Republic 1960 - see Variable: DO1960A_IND - Industry
Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit)
Dominican Republic 2002 - see Variable: DO2002A_IND - Industry
Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business
Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits
Ecuador 1982 - see Variable: EC1982A_IND3 - Industry
Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits
Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits
Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4)
Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit)
Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC)
Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit
El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit)
El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit)
Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry
Ethiopia 1994 - see Variable: ET1994A_IND - Industry
Fiji 1966 - see Variable: FJ1966A_IND - Industry
Fiji 1976 - see Variable: FJ1976A_IND - Industry
Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits
Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits)
Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits
Fiji 2014 - see Variable: FJ2014A_IND - Industry
Finland 2010 - see Variable: FI2010A_IND - Industry
France 1962 - see Variable: FR1962A_IND - Industry
France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories
France 1975 - see Variable: FR1975A_INDUN - Industry, UNO
France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature
France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories
France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC
France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode
France 2011 - see Variable: FR2011A_IND - Industry, 732 categories
Germany 1970 - see Variable: DE1970A_IND - Industry
Germany 1971 - see Variable: DE1971A_IND - Industry
Germany 1981 - see Variable: DE1981A_IND - Industry
Germany 1987 - see Variable: DE1987A_IND - Industry
Ghana 2000 - see Variable: GH2000A_IND - Industry
Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups)
Greece 1971 - see Variable: GR1971A_IND - Industry
Greece 1981 - see Variable: GR1981A_IND - Industry
Greece 1991 - see Variable: GR1991A_IND - Industry
Greece 2001 - see Variable: GR2001A_IND - Industry
Greece 2011 - see Variable: GR2011A_IND - Industry
Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits)
Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits)
Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits)
Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits)
Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit)
Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits
Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit)
Haiti 1982 - see Variable: HT1982A_IND - Branch of work
Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits
Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits)
Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits)
Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit)
Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit)
Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy
Hungary 2011 - see Variable: HU2011A_IND - Industry
Indonesia 1971 - see Variable: ID1971A_IND - Industry
Indonesia 1976 - see Variable: ID1976A_IND - Industry
Indonesia 1980 - see Variable: ID1980A_IND - Industry
Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation
Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week
Indonesia 1995 - see Variable: ID1995A_IND - Industry
Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation
Indonesia 2005 - see Variable: ID2005A_IND - Industry
Indonesia 2010 - see Variable: ID2010A_IND - Industry
Iran 2006 - see Variable: IR2006A_IND4 - Industry
Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit)
Iraq 1997 - see Variable: IQ1997A_IND - Industry
Ireland 1971 - see Variable: IE1971A_IND - Industry
Ireland 1981 - see Variable: IE1981A_IND - Industry class
Ireland 1986 - see Variable: IE1986A_IND - Industry class
Ireland 1991 - see Variable: IE1991A_IND - Industry class
Ireland 1996 - see Variable: IE1996A_IND - Industry class
Ireland 2002 - see Variable: IE2002A_IND - Industry class
Ireland 2006 - see Variable: IE2006A_IND - Industry class
Ireland 2011 - see Variable: IE2011A_IND - Industry
Ireland 2016 - see Variable: IE2016A_IND - Industry
Israel 1972 - see Variable: IL1972A_IND - Industry
Israel 1983 - see Variable: IL1983A_IND - Industry
Israel 1995 - see Variable: IL1995A_IND - Industry
Israel 2008 - see Variable: IL2008A_IND - Branch of economy
Italy 2001 - see Variable: IT2001A_IND - Industry
Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity
Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job
Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits
Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit
Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment
Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section
Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in
Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization
Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit)
Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit)
Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4)
Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits)
Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit)
Liberia 2008 - see Variable: LR2008A_IND - Industry
Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit
Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit
Malawi 2008 - see Variable: MW2008A_IND2 - Main industry
Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit)
Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week
Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits)
Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits
Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month
Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity
Mali 2009 - see Variable: ML2009A_IND - Industry
Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit)
Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit)
Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit)
Mexico 1960 - see Variable: MX1960A_IND - Industry
Mexico 1970 - see Variable: MX1970A_IND - Industry
Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits
Mexico 1995 - see Variable: MX1995A_IND - Industry
Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits
Mexico 2010 - see Variable: MX2010A_IND - Industry
Mexico 2015 - see Variable: MX2015A_IND - Industry
Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits)
Mongolia 2000 - see Variable: MN2000A_IND - Industry
Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4)
Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit)
Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit)
Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits)
Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit)
Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit)
Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry
Mozambique 2007 - see Variable: MZ2007A_IND - Industry
Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2)
Myanmar 2014 - see Variable: MM2014A_IND - Industry
Nepal 2001 - see Variable: NP2001A_IND - Usual industry
Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit)
Netherlands 1960 - see Variable: NL1960A_IND - Industry
Netherlands 1971 - see Variable: NL1971A_IND - Industry
Netherlands 2001 - see Variable: NL2001A_IND - Industry
Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit)
Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits
Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits))
Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit
Palestine 1997 - see Variable: PS1997A_IND - Industry
Palestine 2007 - see Variable: PS2007A_IND - Industry
Palestine 2017 - see Variable: PS2017A_IND - Industry
Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit)
Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit]
Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit
Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits
Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits
Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits
Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits
Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit)
Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits)
Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits)
Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits
Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits
Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits)
Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits)
Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits)
Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week)
Philippines 1990 - see Variable: PH1990A_IND - Industry
Philippines 1995 - see Variable: PH1995A_IND - Industry
Philippines 2000 - see Variable: PH2000A_IND - Industry
Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit)
Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support)
Poland 2002 - see Variable: PL2002A_IND - Industry (main employer)
Portugal 1981 - see Variable: PT1981A_IND - Industry
Portugal 1991 - see Variable: PT1991A_IND - Industry
Portugal 2001 - see Variable: PT2001A_IND - Industry
Portugal 2011 - see Variable: PT2011A_IND - Industry
Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis
Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis
Puerto Rico 1990 - see Variable: PR1990A_IND - Industry
Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis
Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis
Puerto Rico 2010 - see Variable: PR2010A_IND - Industry
Puerto Rico 2015 - see Variable: PR2015A_IND - Industry
Puerto Rico 2020 - see Variable: PR2020A_IND - Industry
Romania 1977 - see Variable: RO1977A_IND - Industry of supporter
Romania 1977 - see Variable: RO1977A_WKACT - Activity category
Romania 1992 - see Variable: RO1992A_IND - Industry
Romania 2002 - see Variable: RO2002A_IND - Industry
Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories)
Rwanda 2002 - see Variable: RW2002A_IND - Industry
Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit
Senegal 1988 - see Variable: SN1988A_IND - Industry
Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_IND - Industry
Slovenia 2002 - see Variable: SI2002A_IND - Industry
South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits
South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit
South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit
South Sudan 2008 - see Variable: SS2008A_IND - Industry
Spain 1981 - see Variable: ES1981A_IND - Industry
Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment
Spain 2001 - see Variable: ES2001A_IND - Industry
Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits
Sudan 2008 - see Variable: SD2008A_IND - Industry
Suriname 2004 - see Variable: SR2004A_IND - Industry
Suriname 2012 - see Variable: SR2012A_IND - Industry (groups)
Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry)
Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry)
Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry)
Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry)
Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit)
Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week
Tanzania 2012 - see Variable: TZ2012A_IND - Industry
Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year
Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year
Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits
Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits
Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit)
Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry
Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits)
Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit)
Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits)
Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit
Uganda 2002 - see Variable: UG2002A_IND - Industry
United Kingdom 1961 - see Variable: UK1961A_IND - Industry
United Kingdom 1971 - see Variable: UK1971A_IND - Industry
United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification
United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification
United States 1960 - see Variable: US1960A_IND - Industry
United States 1970 - see Variable: US1970A_IND - Industry
United States 1980 - see Variable: US1980A_IND - Industry
United States 1990 - see Variable: US1990A_IND - Industry
United States 2000 - see Variable: US2000A_IND - Industry
United States 2005 - see Variable: US2005A_IND - Industry
United States 2010 - see Variable: US2010A_IND - Industry
United States 2015 - see Variable: US2015A_IND - Industry
United States 2020 - see Variable: US2020A_IND - Industry
Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit]
Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week
Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits)
Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits)
Venezuela 1981 - see Variable: VE1981A_IND - Industry
Venezuela 1990 - see Variable: VE1990A_IND - Industry
Venezuela 2001 - see Variable: VE2001A_IND - Industry
Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits
Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit
Vietnam 2009 - see Variable: VN2009A_IND - Industry
Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit
Zambia 1990 - see Variable: ZM1990A_IND - Industry
Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits
Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits
Work 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, government or public sector221Federal, 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 -- PERSONMigration status, 1 yearMIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same major, different minor administrative unit20Different major administrative unit30Abroad99Unknown/missingMigration: Global Variables -- PERSON1st subnational geographic level of residence 1 years prior to survey, world [consistent boundaries over time]GEOMIG1_1 indicates the major administrative unit in which the person resided one year prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence one year ago, 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_P, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here.040011Burgenland [State: Austria]040012Niederösterreich [State: Austria]040013Wien [State: Austria]040021Kärnten [State: Austria]040022Steiermark [State: Austria]040031Oberösterreich [State: Austria]040032Salzburg [State: Austria]040033Tirol [State: Austria]040034Vorarlberg [State: Austria]040097Foreign country [State: Austria]040099NIU [State: Austria]854001Boucle du Mouhoun [Region: Burkina Faso]854002Cascades [Region: Burkina Faso]854003Centre [Region: Burkina Faso]854004Centre-Est [Region: Burkina Faso]854005Centre-Nord [Region: Burkina Faso]854006Centre-Ouest [Region: Burkina Faso]854007Centre-Sud [Region: Burkina Faso]854008Est [Region: Burkina Faso]854009Hauts-Bassins [Region: Burkina Faso]854010Nord [Region: Burkina Faso]854011Plateau Central [Region: Burkina Faso]854012Sahel [Region: Burkina Faso]854013Sud-Ouest [Region: Burkina Faso]854997Abroad [Region: Burkina Faso]854998Unknown [Region: Burkina Faso]854999NIU [Region: Burkina Faso]072001Gaborone [District: Botswana]072002Francistown [District: Botswana]072003Lobatse [District: Botswana]072004Selebi Phikwe [District: Botswana]072007Central Tutume, Sowa [District: Botswana]072010Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana]072011Borolong [District: Botswana]072020South East [District: Botswana]072030Kweneng, Kweneng South, Kweneng North [District: Botswana]072040Kgatleng [District: Botswana]072050Central Serowe/Palapye [District: Botswana]072051Central Mahalapye [District: Botswana]072052Central Bobonong [District: Botswana]072053Central Boteti, Orapa [District: Botswana]072060North East [District: Botswana]072070Ngamiland East [District: Botswana]072071Ngamiland West, Delta [District: Botswana]072072Chobe [District: Botswana]072080Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana]072090Tshabong (Kgalagadi South) [District: Botswana]072091Hukunsti (Kgalagadi North) [District: Botswana]072092Botswana, district unknown [District: Botswana]072097Abroad [District: Botswana]072098Unknown [District: Botswana]072099NIU (not in universe) [District: Botswana]124010Newfoundland and Labrador [Province: Canada]124011Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada]124012Nova Scotia [Province: Canada]124013New Brunswick [Province: Canada]124024Quebec [Province: Canada]124035Ontario [Province: Canada]124046Manitoba [Province: Canada]124047Saskatchewan [Province: Canada]124048Alberta [Province: Canada]124059British Columbia [Province: Canada]124098Unknown [Province: Canada]124099NIU (not in universe) [Province: Canada]384001Lagunes, Sud Comoé, Sud Bandama, Agneby [Region: Cote D'Ivoire]384002Haut Sassandra, Marahoué, Fromager [Region: Cote D'Ivoire]384003Savanes [Region: Cote D'Ivoire]384004Vallée du Bandam, Lacs, N'Zi Comoé [Region: Cote D'Ivoire]384005Moyen Comoé [Region: Cote D'Ivoire]384006Montagnes, Moyen Cavally [Region: Cote D'Ivoire]384008Zanzan [Region: Cote D'Ivoire]384009Bas Sassandra [Region: Cote D'Ivoire]384010Denguele, Worodougou, Bafing [Region: Cote D'Ivoire]384097Abroad [Region: Cote D'Ivoire]384098Unknown [Region: Cote D'Ivoire]384099NIU [Region: Cote D'Ivoire]300001Etolia and Akarnania [Department: Greece]300003Viotia [Department: Greece]300004Evia [Department: Greece]300005Evrytania [Department: Greece]300006Fthiotida [Department: Greece]300007Fokida [Department: Greece]300011Argolida [Department: Greece]300012Arkadia [Department: Greece]300013Achaia [Department: Greece]300014Ilia [Department: Greece]300015Korinthia [Department: Greece]300016Lakonia [Department: Greece]300017Messinia [Department: Greece]300021Zakynthos [Department: Greece]300022Kerkyra [Department: Greece]300023Kefallinia [Department: Greece]300024Lefkada [Department: Greece]300031Arta [Department: Greece]300032Thesprotia [Department: Greece]300033Ioannina [Department: Greece]300034Preveza [Department: Greece]300041Karditsa [Department: Greece]300042Larissa [Department: Greece]300043Magnissia [Department: Greece]300044Trikala [Department: Greece]300051Grevena [Department: Greece]300052Drama [Department: Greece]300053Imathia [Department: Greece]300054Thessaloniki [Department: Greece]300055Kavala [Department: Greece]300056Kastoria [Department: Greece]300057Kilkis [Department: Greece]300058Kozani [Department: Greece]300059Pella [Department: Greece]300061Pieria [Department: Greece]300062Serres [Department: Greece]300063Florina [Department: Greece]300064Chalkidiki and Agion Oros [Department: Greece]300071Evros [Department: Greece]300072Xanthi [Department: Greece]300073Rodopi [Department: Greece]300081Dodekanissos [Department: Greece]300082Kyklades [Department: Greece]300083Lesvos [Department: Greece]300084Samos [Department: Greece]300085Chios [Department: Greece]300091Iraklio [Department: Greece]300092Lassithi [Department: Greece]300093Rethymno [Department: Greece]300094Chania [Department: Greece]300101Prefecture of Athens [Department: Greece]300102Prefecture of East Attiki [Department: Greece]300103Prefecture of West Attiki [Department: Greece]300104Prefecture of Pireas [Department: Greece]300996Foreign country [Department: Greece]300997Response suppressed [Department: Greece]300998Unknown [Department: Greece]300999NIU (not in universe) [Department: Greece]372001Dublin [Region: Ireland]372002Midlands [Region: Ireland]372003Mid-East, Border [Region: Ireland]372004Mid-West, South-East [Region: Ireland]372006West [Region: Ireland]372008South West [Region: Ireland]372096Ireland, region not specified [Region: Ireland]372097Abroad [Region: Ireland]372098Unknown [Region: Ireland]372099NIU (not in universe) [Region: Ireland]380001Piemonte, Valle d'Aosta [Region: Italy]380003Lombardia [Region: Italy]380004Trentino Alto Adige [Region: Italy]380005Veneto [Region: Italy]380006Friuli Venezia Giulia [Region: Italy]380007Liguria [Region: Italy]380008Emilia Romagna, Marche [Region: Italy]380009Toscana [Region: Italy]380010Umbria [Region: Italy]380012Lazio [Region: Italy]380013Abruzzo [Region: Italy]380014Molise [Region: Italy]380015Campania [Region: Italy]380016Puglia [Region: Italy]380017Basilicata [Region: Italy]380018Calabria [Region: Italy]380019Sicilia [Region: Italy]380020Sardegna [Region: Italy]380097Foregin Country [Region: Italy]380099NIU [Region: Italy]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]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]454306Mwanza, Neno [District: Malawi]454307Thyolo [District: Malawi]454308Mulanje [District: Malawi]454309Phalombe [District: Malawi]454310Chikwawa [District: Malawi]454311Nsanje [District: Malawi]454312Balaka [District: Malawi]454997Abroad [District: Malawi]454998Unknown [District: Malawi]454999NIU (not in universe) [District: Malawi]508001Niassa [Province: Mozambique]508002Cabo Delgado [Province: Mozambique]508003Nampula [Province: Mozambique]508004Zambézia [Province: Mozambique]508005Tete [Province: Mozambique]508006Manica [Province: Mozambique]508007Sofala [Province: Mozambique]508008Inhambane [Province: Mozambique]508009Gaza [Province: Mozambique]508010Maputo [Province: Mozambique]508011Cidade de Maputo [Province: Mozambique]508097Foreign Country [Province: Mozambique]508098Unknown [Province: Mozambique]508099NIU (not in universe) [Province: Mozambique]598001Western [Province: Papua New Guinea]598002Gulf [Province: Papua New Guinea]598003Central [Province: Papua New Guinea]598004National Capital District [Province: Papua New Guinea]598005Milne Bay [Province: Papua New Guinea]598006Northern [Province: Papua New Guinea]598007Southern Highlands, Hela [Province: Papua New Guinea]598008Enga [Province: Papua New Guinea]598009Western Highlands, Jiwaka [Province: Papua New Guinea]598010Chimbu [Province: Papua New Guinea]598011Eastern Highlands [Province: Papua New Guinea]598012Morobe [Province: Papua New Guinea]598013Madang [Province: Papua New Guinea]598014East Sepik [Province: Papua New Guinea]598015West Sepik [Province: Papua New Guinea]598016Manus [Province: Papua New Guinea]598017New Ireland [Province: Papua New Guinea]598018East New Britain [Province: Papua New Guinea]598019West New Britain [Province: Papua New Guinea]598020Autonomous Region of Bougainville [Province: Papua New Guinea]598097Foreign country [Province: Papua New Guinea]598098Unknown [Province: Papua New Guinea]598099NIU (not in universe) [Province: Papua New Guinea]616002Dolnośląskie [Vovoidship (Province): Poland]616004Kujawsko pomorskie [Vovoidship (Province): Poland]616006Lubelskie [Vovoidship (Province): Poland]616008Lubuskie [Vovoidship (Province): Poland]616010Łódzkie [Vovoidship (Province): Poland]616012Małopolskie [Vovoidship (Province): Poland]616014Mazowieckie [Vovoidship (Province): Poland]616016Opolskie [Vovoidship (Province): Poland]616018Podkarpackie [Vovoidship (Province): Poland]616020Podlaskie [Vovoidship (Province): Poland]616022Pomorskie [Vovoidship (Province): Poland]616024Śląskie [Vovoidship (Province): Poland]616026Świętokrzyskie [Vovoidship (Province): Poland]616028Warmińsko mazurskie [Vovoidship (Province): Poland]616030Wielkopolskie [Vovoidship (Province): Poland]616032Zachodniopomorskie [Vovoidship (Province): Poland]616098Unknown [Vovoidship (Province): Poland]616099NIU (not in universe) [Vovoidship (Province): Poland]620111Minho-Lima [Subregion: Portugal]620112Cávado [Subregion: Portugal]620113Ave [Subregion: Portugal]620114Grande Porto [Subregion: Portugal]620115Tâmega [Subregion: Portugal]620116Entre Douro e Vouga [Subregion: Portugal]620117Douro [Subregion: Portugal]620118Alto Trás-os-Montes [Subregion: Portugal]620150Algarve [Subregion: Portugal]620161Baixo Vouga [Subregion: Portugal]620162Baixo Mondego [Subregion: Portugal]620163Pinhal Litoral [Subregion: Portugal]620165Dão-Lafões [Subregion: Portugal]620166Oeste [Subregion: Portugal]620167Médio Tejo [Subregion: Portugal]620169Other Center [Subregion: Portugal]620171Grande Lisboa [Subregion: Portugal]620172Península de Setúbal [Subregion: Portugal]620185Lezíria do Tejo [Subregion: Portugal]620189Other Alentejo [Subregion: Portugal]620200Região Autónoma dos Açores [Subregion: Portugal]620300Região Autónoma da Madeira [Subregion: Portugal]620998Foreign country [Subregion: Portugal]620999NIU (not in universe) [Subregion: Portugal]643001Altai Krai [Region: Russia]643003Krasnodar Krai [Region: Russia]643004Krasnoyarsk Krai [Region: Russia]643005Primorsky Krai [Region: Russia]643007Stavropol Krai [Region: Russia]643008Khabarovsk Krai [Region: Russia]643010Amur Oblast [Region: Russia]643011Arkhangelsk Oblast [Region: Russia]643012Astrakhan Oblast [Region: Russia]643013Nenets Autonomous District643014Belgorod Oblast [Region: Russia]643015Bryansk Oblast [Region: Russia]643017Vladimir Oblast [Region: Russia]643018Volgograd Oblast [Region: Russia]643019Vologda Oblast [Region: Russia]643020Voronezh Oblast [Region: Russia]643022Nizhny Novgorod Oblast [Region: Russia]643024Ivanovo Oblast [Region: Russia]643025Irkutsk Oblast [Region: Russia]643026Republic of Ingushetia [Region: Russia]643027Kaliningrad Oblast [Region: Russia]643028Tver Oblast [Region: Russia]643029Kaluga Oblast [Region: Russia]643030Kamchatka Krai [Region: Russia]643032Kemerovo Oblast [Region: Russia]643033Kirov Oblast [Region: Russia]643034Kostroma Oblast [Region: Russia]643036Samara Oblast [Region: Russia]643037Kurgan Oblast [Region: Russia]643038Kursk Oblast [Region: Russia]643040City of Federal Importance St. Petersburg [Region: Russia]643041Leningrad Oblast [Region: Russia]643042Lipetsk Oblast [Region: Russia]643044Magadan Oblast [Region: Russia]643045City of Federal Importance Moscow [Region: Russia]643046Moscow Oblast [Region: Russia]643047Murmansk Oblast [Region: Russia]643049Novgorod Oblast [Region: Russia]643050Novosibirsk Oblast [Region: Russia]643052Omsk Oblast [Region: Russia]643053Orenburg Oblast [Region: Russia]643054Oryol Oblast [Region: Russia]643056Penza Oblast [Region: Russia]643057Perm Krai [Region: Russia]643058Pskov Oblast [Region: Russia]643060Rostov Oblast [Region: Russia]643061Ryazan Oblast [Region: Russia]643063Saratov Oblast [Region: Russia]643064Sakhalin Oblast [Region: Russia]643065Sverdlovsk Oblast [Region: Russia]643066Smolensk Oblast [Region: Russia]643068Tambov Oblast [Region: Russia]643069Tomsk Oblast [Region: Russia]643070Tula Oblast [Region: Russia]643071Tyumen Oblast [Region: Russia]643072Khanty-Mansi Autonomous District - Yugra [Region: Russia]643073Ulyanovsk Oblast [Region: Russia]643074Yamalo-Nenets Autonomous District [Region: Russia]643075Chelyabinsk Oblast [Region: Russia]643076Zabaykalsky Krai, Aginsky Buryat District [Region: Russia]643077Chukotka Autonomous Region [Region: Russia]643078Yaroslavskaya Oblast [Region: Russia]643079Republic of Adygea [Region: Russia]643080Republic of Bashkortostan [Region: Russia]643081Republic of Buryatia [Region: Russia]643082Republic of Dagestan [Region: Russia]643083Kabardino-Balkaria Republic [Region: Russia]643084Altai Republic [Region: Russia]643085Republic of Kalmykia [Region: Russia]643086Republic of Karelia [Region: Russia]643087Komi Republic [Region: Russia]643088Mari El Republic [Region: Russia]643089Republic of Mordovia [Region: Russia]643090Republic of North Ossetia-Alania [Region: Russia]643091Karachay-Cherkess Republic [Region: Russia]643092Republic of Tatarstan [Region: Russia]643093Tyva Republic [Region: Russia]643094Udmurtia Republic [Region: Russia]643095Republic of Khakassia [Region: Russia]643096Chechen Republic [Region: Russia]643097Chuvash Republic [Region: Russia]643098Republic of Sakha (Yakutia) [Region: Russia]643099Jewish Autonomous Region [Region: Russia]643997Foreign Country [Region: Russia]643998Unknown [Region: Russia]643999NIU [Region: Russia]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]724097Foreign country [Communities & autonomous city: Spain]724999NIU (not in universe) [Communities & autonomous city: Spain]728011Northern [State:South Sudan]728012Nahr El Nil [State:South Sudan]728021Red Sea [State:South Sudan]728022Kassala [State:South Sudan]728023Al Gedarif [State:South Sudan]728031Khartoum [State:South Sudan]728041Al Gezira [State:South Sudan]728042White Nile [State:South Sudan]728043Sinnar [State:South Sudan]728044Blue Nile [State:South Sudan]728051North Kordofan [State:South Sudan]728052South Kordofan [State:South Sudan]728061North Darfur [State:South Sudan]728062West Darfur [State:South Sudan]728063South Darfur [State:South Sudan]728071Upper Nile [State: South Sudan]728072Jonglei [State: South Sudan]728073Unity [State: South Sudan]728081Warrap [State: South Sudan]728082Northern Bahr El Ghazal [State: South Sudan]728083Western Bahr El Ghazal [State: South Sudan]728084Lakes [State: South Sudan]728091Western Equatoria [State: South Sudan]728092Central Equatoria [State: South Sudan]728093Eastern Equatoria [State: South Sudan]728098Abroad [State: South Sudan]728099NIU (Not in universe) [State: South Sudan]729011Northern [State: Sudan]729012Nahr El Nil [State: Sudan]729021Red Sea [State: Sudan]729022Kassala [State: Sudan]729023Al Gedarif [State: Sudan]729031Khartoum [State: Sudan]729041Al Gezira [State: Sudan]729042White Nile [State: Sudan]729043Sinnar [State: Sudan]729044Blue Nile [State: Sudan]729051North Kordofan [State: Sudan]729052South Kordofan [State: Sudan]729061North Darfur [State: Sudan]729062West Darfur [State: Sudan]729063South Darfur [State: Sudan]729071Upper Nile [State: Sudan]729072Jonglei [State: Sudan]729073Unity [State: Sudan]729081Warrap [State: Sudan]729082Northern Bahr El Ghazal [State: Sudan]729083Western Bahr El Ghazal [State: Sudan]729084Lakes [State: Sudan]729091Western Equatoria [State: Sudan]729092Central Equatoria [State: Sudan]729093Eastern Equatoria [State: Sudan]729098Abroad [State: Sudan]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]826101North East [Region: United Kingdom]826102North West [Region: United Kingdom]826103Yorkshire and the Humber [Region: United Kingdom]826104East Midlands [Region: United Kingdom]826105West Midlands [Region: United Kingdom]826106East of England [Region: United Kingdom]826107South East [Region: United Kingdom]826108South West [Region: United Kingdom]826110Outer London, Inner London [Region: United Kingdom]826111Scotland [Region: United Kingdom]826112Wales [Region: United Kingdom]826113Northern Ireland [Region: United Kingdom]826197Other country [Region: United Kingdom]826198Unknown [Region: United Kingdom]826199NIU (not in universe) [Region: United Kingdom]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]834098Unknown [Region: Tanzania]834099NIU (not in universe) [Region: Tanzania]840001Alabama [State: United States]840002Alaska [State: United States]840004Arizona [State: United States]840005Arkansas [State: United States]840006California [State: United States]840008Colorado [State: United States]840009Connecticut [State: United States]840010Delaware [State: United States]840011District of Columbia [State: United States]840012Florida [State: United States]840013Georgia [State: United States]840015Hawaii [State: United States]840016Idaho [State: United States]840017Illinois [State: United States]840018Indiana [State: United States]840019Iowa [State: United States]840020Kansas [State: United States]840021Kentucky [State: United States]840022Louisiana [State: United States]840023Maine [State: United States]840024Maryland [State: United States]840025Massachusetts [State: United States]840026Michigan [State: United States]840027Minnesota [State: United States]840028Mississippi [State: United States]840029Missouri [State: United States]840030Montana [State: United States]840031Nebraska [State: United States]840032Nevada [State: United States]840033New Hampshire [State: United States]840034New Jersey [State: United States]840035New Mexico [State: United States]840036New York [State: United States]840037North Carolina [State: United States]840038North Dakota [State: United States]840039Ohio [State: United States]840040Oklahoma [State: United States]840041Oregon [State: United States]840042Pennsylvania [State: United States]840044Rhode Island [State: United States]840045South Carolina [State: United States]840046South Dakota [State: United States]840047Tennessee [State: United States]840048Texas [State: United States]840049Utah [State: United States]840050Vermont [State: United States]840051Virginia [State: United States]840053Washington [State: United States]840054West Virginia [State: United States]840055Wisconsin [State: United States]840056Wyoming [State: United States]840097Abroad [State: United States]840999NIU (not in universe) [State: United States]894001Central [Province: Zambia]894002Copperbelt [Province: Zambia]894003Eastern, Muchinga, Northern [Province: Zambia]894004Luapula [Province: Zambia]894005Lusaka [Province: Zambia]894008North Western [Province: Zambia]894009Southern [Province: Zambia]894010Western [Province: Zambia]894097Foreign country [Province: Zambia]894098Unknown [Province: Zambia]894099NIU (not in universe) [Province: Zambia]Migration: Global Variables -- PERSONState of residence 1 year ago, Austria; consistent boundaries, GISMIG1_1_AT indicates the person's state of residence 1 year ago within Austria. Migration state codes from MIG1_1_AT are compatible with codes from GEO1_AT.
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.40011Burgenland40012Niederösterreich40013Wien40021Kärnten40022Steiermark40031Oberösterreich40032Salzburg40033Tirol40034Vorarlberg40097Foreign country40099NIUMigration: A-E Variables -- PERSONEuropean NUTS3 residence 1 year ago, Austria; consistent boundaries, GISMIG2_1_AT indicates the person's ENUTS-3 of residence within Austria one year prior to the census. Migration ENUTS-3 codes in MIG2_1_AT are compatible with codes in GEO2_AT.
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.040011001Mittelburgenland, Südburgenland040011002Nordburgenland040012004Mostviertel-Eisenwurzen040012005Niederösterreich-Süd040012006Sankt Pölten040012007Waldviertel040012008Weinviertel040012009Wiener Umland-Nordteil040012010Wiener Umland-Südteil040013011Wien040021012Klagenfurt-Villach040021013Oberkärnten040021014Unterkärnten040022015Graz040022016Liezen040022017Östliche Obersteiermark040022018Oststeiermark040022019West- und Südsteiermark040022020Westliche Obersteiermark040031021Innviertel040031022Linz-Wels040031023Mühlviertel040031024Steyr-Kirchdorf040031025Traunviertel040032026Lungau, Pinzgau-Pongau040032028Salzburg, Umgebung040033029Außerfern, Tiroler Oberland040033030Innsbruck040033031Osttirol, Tiroler Unterland040034034Bludenz-Bregenzer Wald040034035Rheintal-Bodenseegebiet040097097Foreign country040099099NIUMigration: A-E Variables -- PERSONPerson number (within household)Austria 2011: All recordsThis variable indicates the person number within household.This is a 3-digit numeric variable with 0 implied decimal placesTechnical Person Variables -- PERSONFamily numberAustria 2011: All personsThis variable indicates the family number.This is a 8-digit numeric variable with 0 implied decimal placesTechnical Person Variables -- PERSONAgeAustria 2011: All personsThis variable indicates the person's age.00Less than 1 year011 year022 years033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858586868787888889899090919192929393949495959696979798989999+Demographic Variables -- PERSONSexAustria 2011: All personsThis variable indicates the person's sex.1Male2FemaleDemographic Variables -- PERSONLegal marital statusAustria 2011: All personsThis variable indicates the person's legal marital status.1Never married2Married3Widowed4DivorcedDemographic Variables -- PERSONCountry of citizenshipAustria 2011: All personsThis variable indicates the person's country of citizenship.01Austria02EU Member States (14)03EU Member States (10)04EU Member States (2)05Former Yugoslavia (without Slovenia)06Turkey07EEA, Switzerland, associated microstates08Other European countries09Africa10North America11Latin America12Asia (without Turkey and Cyprus)13Oceania14Stateless/UnknownNativity and Birthplace Variables -- PERSONCountry of birthAustria 2011: All personsThis variable indicates the person's country of birth.01Austria02EU Member States (14)03EU Member States (10)04EU Member States (2)05Former Yugoslavia (without Slovenia)06Turkey07EEA, Switzerland, associated microstates08Other European countries09Africa10North America11Latin America12Asia (without Turkey and Cyprus)13Oceania14UnknownNativity and Birthplace Variables -- PERSONPlace of usual residence one year prior to the censusAustria 2011: Persons age 1+ [discrepancies: none]This variable indicates the person's place of usual residence one year prior to the census.1Usual residence unchanged2Move within the municipality of the current usual residence3Move between municipalities4Move from abroad0NIU (not in universe)Migration: Global Variables -- PERSONNUTS3 Region of usual residence one year prior to the censusAustria 2011: Persons age 1+ [discrepancies: none]This variable indicates the region of usual residence in one year prior to the census (NUTS3)111Mittelburgenland and Suedburgenland 112Nordburgenland 121Mostviertel-Eisenwurzen 122Niederoesterreich-Sued 123Sankt Poelten 124Waldviertel 125Weinviertel 126Wiener Umland-Nordteil 127Wiener Umland-Suedteil 130Wien 211Klagenfurt-Villach 212Oberkaernten 213Unterkaernten 221Graz 222Liezen 223Oestliche Obersteiermark 224Oststeiermark 225West- und Suedsteiermark 226Westliche Obersteiermark 311Innviertel 312Linz-Wels 313Muehlviertel 314Steyr-Kirchdorf 315Traunviertel 321Lungau and Pinzgau-Pongau 323Salzburg und Umgebung 331Ausserfern and Tiroler Oberland 332Innsbruck 333Osttirol and Tiroler Unterland 341Bludenz-Bregenzer Wald 342Rheintal-Bodenseegebiet 998Abroad999NIU (not in universe)Migration: Global Variables -- PERSONNUTS3 Region of work or schoolAustria 2011: Persons who either work or attend schoolThis variable indicates the region of work or school of respondents (NUTS3)111Mittelburgenland 112Nordburgenland 113Suedburgenland 121Mostviertel-Eisenwurzen 122Niederoesterreich-Sued 123Sankt Poelten 124Waldviertel 125Weinviertel 126Wiener Umland-Nordteil 127Wiener Umland-Suedteil 130Wien 211Klagenfurt-Villach 212Oberkaernten 213Unterkaernten 221Graz 222Liezen 223Oestliche Obersteiermark 224Oststeiermark 225West- und Suedsteiermark 226Westliche Obersteiermark 311Innviertel 312Linz-Wels 313Muehlviertel 314Steyr-Kirchdorf 315Traunviertel 321Lungau 322Pinzgau-Pongau 323Salzburg und Umgebung 331Ausserfern 332Innsbruck 333Osttirol 334Tiroler Oberland 335Tiroler Unterland 341Bludenz-Bregenzer Wald 342Rheintal-Bodenseegebiet 998Abroad999NIU (not in universe)Migration: Global Variables -- PERSONEducational attainment Austria 2011: Persons age 15+ [discrepancies: none]This variable indicates the highest level of education completed by the individual.1Primary education2Lower secondary education3Upper secondary education4Post secondary non-tertiary education5First stage of tertiary education6Second stage of tertiary education0NIU (not in universe)Education Variables -- PERSONField of educationAustria 2011: Persons age 15+ [discrepancies: none]This variable indicates the field of the highest level of education completed by the individual.01General programmes 02Education 03Humanities and arts 04Social sciences, business and law 05Science 06Engineering, manufacturing and construction 07Agriculture 08Health and welfare 09Services 10Not stated 00NIU (not in universe)Education Variables -- PERSONCurrent participation in educationAustria 2011: All personsThis variable indicates whether or not the person was attending school at the time of the census.1Currently no participation in formal education2Primary level and secondary level I3Secondary level II and postsecondary level4Tertiary level9Unclassified children age 7 to 14Education Variables -- PERSONEmployment statusAustria 2011: All personsThis variable indicates whether or not the respondent was part of the labor force -- working or seeking work -- at the time of the census.1Employed2Unemployed3Persons below the age of 154Persons receiving a pension5Students 15 and over (not economically active)6Other currently not economically active personsWork Variables -- PERSONClass of workerAustria 2011: All personsThis variable describes the status of an economically active person with respect to his or her employment -- that is, whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. 1Employees2Employers3Own-account workers4Contributing family workers5Not stated6Currently not economically activeWork Variables -- PERSONIndustry Austria 2011: Economically active persons [discrepancies: none]This variable indicates the industry in which the person works.011Growing of non-perennial crops012Growing of perennial crops013Plant propagation014Animal production015Mixed farming016Support activities to agriculture and post-harvest crop activities019Crop and animal production, hunting, and related service activities n.e.c.021Silviculture and other forestry activities022Logging024Support services to forestry030Fishing and aquaculture061Extraction of crude petroleum081Quarrying of stone, sand and clay089Mining and quarrying n.e.c.101Processing and preserving of meat and production of meat products103Processing and preserving of fruit and vegetables104Manufacture of vegetable and animal oils and fats105Manufacture of dairy products106Manufacture of grain mill products, starches and starch products107Manufacture of bakery and farinaceous products108Manufacture of other food products109Manufacture of prepared animal feeds110Manufacture of beverages120Manufacture of tobacco products131Preparation and spinning of textile fibres132Weaving of textiles133Finishing of textiles139Manufacture of other textiles141Manufacture of wearing apparel, except fur apparel143Manufacture of knitted and crocheted apparel151Tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness; dressing and dyeing of fur152Manufacture of footwear161Sawmilling and planing of wood162Manufacture of products of wood, cork, straw and plaiting materials171Manufacture of pulp, paper and paperboard172Manufacture of articles of paper and paperboard181Printing and service activities related to printing182Reproduction of recorded media191Manufacture of coke oven products192Manufacture of refined petroleum products201Manufacture of basic chemicals, fertilisers and nitrogen compounds, plastics and synthetic rubber in primary forms202Manufacture of pesticides and other agrochemical products203Manufacture of paints, varnishes and similar coatings, printing ink and mastics204Manufacture of soap and detergents, cleaning and polishing preparations, perfumes and toilet preparations205Manufacture of other chemical products206Manufacture of man-made fibres211Manufacture of basic pharmaceutical products212Manufacture of pharmaceutical preparations221Manufacture of rubber products222Manufacture of plastics products231Manufacture of glass and glass products232Manufacture of refractory products233Manufacture of clay building materials234Manufacture of other porcelain and ceramic products235Manufacture of cement, lime and plaster236Manufacture of articles of concrete, cement and plaster237Cutting, shaping and finishing of stone239Manufacture of abrasive products and non-metallic mineral products n.e.c.241Manufacture of basic iron and steel and of ferro-alloys242Manufacture of tubes, pipes, hollow profiles and related fittings, of steel243Manufacture of other products of first processing of steel244Manufacture of basic precious and other non-ferrous metals245Casting of metals251Manufacture of structural metal products252Manufacture of tanks, reservoirs and containers of metal253Manufacture of steam generators, except central heating hot water boilers254Manufacture of weapons and ammunition255Forging, pressing, stamping and roll-forming of metal; powder metallurgy256Treatment and coating of metals; machining257Manufacture of cutlery, tools and general hardware259Manufacture of other fabricated metal products261Manufacture of electronic components and boards262Manufacture of computers and peripheral equipment263Manufacture of communication equipment264Manufacture of consumer electronics265Manufacture of instruments and appliances for measuring, testing and navigation; watches and clocks266Manufacture of irradiation, electromedical and electrotherapeutic equipment267Manufacture of optical instruments and photographic equipment271Manufacture of electric motors, generators, transformers and electricity distribution and control apparatus272Manufacture of batteries and accumulators273Manufacture of wiring and wiring devices274Manufacture of electric lighting equipment275Manufacture of domestic appliances279Manufacture of other electrical equipment281Manufacture of general-purpose machinery282Manufacture of other general-purpose machinery283Manufacture of agricultural and forestry machinery284Manufacture of metal forming machinery and machine tools289Manufacture of other special-purpose machinery291Manufacture of motor vehicles292Manufacture of bodies (coachwork) for motor vehicles; manufacture of trailers and semi-trailers293Manufacture of parts and accessories for motor vehicles301Building of ships and boats302Manufacture of railway locomotives and rolling stock303Manufacture of air and spacecraft and related machinery304Manufacture of military fighting vehicles309Manufacture of transport equipment n.e.c.310Manufacture of furniture321Manufacture of jewellery, bijouterie and related articles322Manufacture of musical instruments323Manufacture of sports goods324Manufacture of games and toys325Manufacture of medical and dental instruments and supplies329Manufacturing n.e.c.331Repair of fabricated metal products, machinery and equipment332Installation of industrial machinery and equipment351Electric power generation, transmission and distribution352Manufacture of gas; distribution of gaseous fuels through mains353Steam and air conditioning supply360Water collection, treatment and supply370Sewerage381Waste collection382Waste treatment and disposal383Materials recovery390Remediation activities and other waste management services411Development of building projects412Construction of residential and non-residential buildings421Construction of roads and railways422Construction of utility projects429Construction of other civil engineering projects431Demolition and site preparation432Electrical, plumbing and other construction installation activities433Building completion and finishing439Other specialised construction activities451Sale of motor vehicles452Maintenance and repair of motor vehicles453Sale of motor vehicle parts and accessories454Sale, maintenance and repair of motorcycles and related parts and accessories461Wholesale on a fee or contract basis462Wholesale of agricultural raw materials and live animals463Wholesale of food, beverages and tobacco464Wholesale of household goods465Wholesale of information and communication equipment466Wholesale of other machinery, equipment and supplies467Other specialised wholesale469Non-specialised wholesale trade471Retail sale in non-specialised stores472Retail sale of food, beverages and tobacco in specialised stores473Retail sale of automotive fuel in specialised stores474Retail sale of information and communication equipment in specialised stores475Retail sale of other household equipment in specialised stores476Retail sale of cultural and recreation goods in specialised stores477Retail sale of other goods in specialised stores478Retail sale via stalls and markets479Retail trade not in stores, stalls or markets491Passenger rail transport, interurban492Freight rail transport493Other passenger land transport494Freight transport by road and removal services495Transport via pipeline502Sea and coastal freight water transport503Inland passenger water transport511Passenger air transport521Warehousing and storage522Support activities for transportation531Postal activities under universal service obligation532Other postal and courier activities539Transportation and storage n.e.c.551Hotels and similar accommodation552Holiday and other short-stay accommodation553Camping grounds, recreational vehicle parks and trailer parks559Other accommodation561Restaurants and mobile food service activities562Event catering and other food service activities563Beverage serving activities581Publishing of books, periodicals and other publishing activities582Software publishing591Motion picture, video and television programme activities592Sound recording and music publishing activities601Radio broadcasting602Television programming and broadcasting activities611Wired telecommunications activities612Wireless telecommunications activities619Other telecommunications activities620Computer programming, consultancy and related activities631Data processing, hosting and related activities; web portals639Other information service activities641Monetary intermediation642Activities of holding companies643Trusts, funds and similar financial entities649Other financial service activities, except insurance and pension funding651Insurance652Reinsurance653Pension funding661Activities auxiliary to financial services, except insurance and pension funding662Activities auxiliary to insurance and pension funding663Fund management activities681Buying and selling of own real estate682Renting and operating of own or leased real estate683Real estate activities on a fee or contract basis691Legal activities692Accounting, bookkeeping and auditing activities; tax consultancy701Activities of head offices702Management consultancy activities711Architectural and engineering activities and related technical consultancy712Technical testing and analysis721Research and experimental development on natural sciences and engineering722Research and experimental development on social sciences and humanities731Advertising732Market research and public opinion polling741Specialised design activities742Photographic activities743Translation and interpretation activities749Other professional, scientific and technical activities n.e.c.750Veterinary activities771Renting and leasing of motor vehicles772Renting and leasing of personal and household goods773Renting and leasing of other machinery, equipment and tangible goods774Leasing of intellectual property and similar products, except copyrighted works781Activities of employment placement agencies782Temporary employment agency activities783Other human resources provision791Travel agency and tour operator activities799Other reservation services and related activities801Private security activities803Investigation activities811Combined facilities support activities812Cleaning activities813Landscape service activities821Office administrative and support activities822Activities of call centres823Organisation of conventions and trade shows829Business support service activities n.e.c.841Administration of the State and the economic and social policy of the community842Provision of services to the community as a whole843Compulsory social security activities851Pre-primary education852Primary education853Secondary education854Higher education855Other education856Educational support activities861Hospital activities862Medical and dental practice activities869Other human health activities871Residential nursing care activities872Residential care activities for mental retardation, mental health and substance abuse873Residential care activities for the elderly and disabled879Other residential care activities881Social work activities without accommodation for the elderly and disabled889Other social work activities without accommodation900Creative, arts and entertainment activities910Libraries, archives, museums and other cultural activities920Gambling and betting activities931Sports activities932Amusement and recreation activities941Activities of business, employers and professional membership organisations942Activities of trade unions949Activities of other membership organisations951Repair of computers and communication equipment952Repair of personal and household goods960Other personal service activities970Activities of households as employers of domestic personnel981Undifferentiated goods-producing activities of private households for own use982Undifferentiated service-producing activities of private households for own use990Activities of extraterritorial organisations and bodies999Unknown000NIU (not in universe)Work: Industry Variables -- PERSONType of commuterAustria 2011: All personsThis variable indicates whether or not the individual commutes to school or work.1Economically active commuters2Pupils or students commuting to an educational institution3Persons who are not commutingOther Person Variables -- PERSONCommuting: location of workplace or schoolAustria 2011: All personsThis variable identifies the location of the person's workplace or school.1In the same building2Within municipality of usual residence3Outside municipality of usual residence4Abroad5Persons who are not commutingOther Person Variables -- PERSONLiving arrangementsAustria 2011: All personsThis variable indicates the type of living arrangements.01Persons in a married couple without children02Persons in a married couple with children03Partners in a consensual union without children04Partners in a consensual union with children05Lone parents06Daughters or sons of a couple07Daughters or sons of lone parent08Living alone09Not living alone (other non-family household)10Persons not in private householdConstructed Family Interrelationship Variables -- PERSONFamily statusAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the family status of the respondent.1Partners in a married couple without children2Partners in a married couple with children3Partners in a consensual union without children4Partners in a consensual union with children5Lone parents6Daughters or sons in a couple family7Daughters or sons in a lone parent family0NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONHousehold reference personAustria 2011: All personsThis variable indicates whether or not the person is the household reference person.0Other person1Household reference personTechnical Person Variables -- PERSONFamily reference personAustria 2011: All personsThis variable indicates whether or not the person is the family's reference person.0Other person1Family reference personTechnical Person Variables -- PERSONType of nucleus familyAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the type of nucleus family.01Married couple families without resident children02Married couple families with at least one resident child under 2503Married couple families, youngest resident son or daughter 25 or older04Consensual union couple families without resident children05Consensual union couple families with at least one resident child under 2506Consensual union couple families, youngest resident son or daughter 25 or older07Lone father families with at least one resident child under 2508Lone father families, youngest resident son or daughter 25 or older09Lone mother families with at least one resident child under 2510Lone mother families, youngest resident son or daughter 25 or older00NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONSize of nucleus familyAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the size of nucleus family.22 persons33445566+0NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONNumber of children in the nucleus familyAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the number of children in the nucleus family.0No children11 child22 children33445566+9NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONAge of youngest child in the familyAustria 2011: Persons living in a private family household with children [discrepancies: none]This variable indicates the age of youngest child in the family.1Under 3 years23 to 536 to 14415 to 24525+0NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONNumber of children in the nucleus family under 6 years of ageAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the number of children in the nucleus family younger than 6 years old.0No children112233+9NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONNumber of children in the nucleus family under 15 years of ageAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the number of children in the nucleus family younger than 15 years.0No children112233445566+9NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONNumber of children in the nucleus family under 18 years of ageAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the number of children in the nucleus family younger than 18 years.0No children112233445566+9NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONNumber of children in the nucleus family under 25 years of ageAustria 2011: Persons living in a private family household [discrepancies: none]This variable indicates the number of children in the nucleus family less than 25 years of age.0No children112233445566+9NIU (not in universe)Constructed Family Interrelationship Variables -- PERSON