Labour Force Survey Q2, 2011DDI_ESP_2011_LFS-Q2_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.
Labour Force Survey - IPUMS Subset Q2, 2011PHC es2011i (IPUMS Harmonized Subset)ESP_2011_LFS-Q2_v01_M_v7.6_A_IPUMSNational Institute of Statistics (INE)IPUMS(c) Copyright 2011, National Institute of Statistics (INE) and Minnesota Population CenterNational Institute of Statistics (INE)Labor Force Survey [hh/lfs]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 -- PERSONGeography: Global Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDDisability Variables -- PERSONEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONGeography: O-Z Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDMigration: O-Z Variables -- PERSONTechnical Person Variables -- PERSONTechnical Person Variables -- PERSONGeography: O-Z Variables -- HOUSEHOLDTechnical Household Variables -- HOUSEHOLDDemographic Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONNativity and Birthplace Variables -- PERSONEducation Variables -- PERSONWork Variables -- PERSONWork: Occupation Variables -- PERSONWork: Industry Variables -- PERSONMigration: Global Variables -- PERSONContinuous surveyContinuous survey on a quarterly basis with interviews occuring during 13 weeks of the quarter. The reference period is the week (Monday to Sunday) prior to the interview date.SpainProvincePersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: No
- Households: yes
- Individuals: yes
- Group quarters:
UNIT DESCRIPTIONS:
- Dwellings: Regular or permanent residence used for all or most of the year
- Households: Yes
- Group quarters: Not applicableThe population living in family dwellings, i.e. those used all or most of the year as a regular or permanent residences. The survey excludes group dwellings, i.e. hospitals, hotels, barracks, convents, etc. It does include families that reside in these establishments but form an independent group, as can be the case of the managers of the centres, or the caretakers and porters. Sample survey data [ssd]Additional notes on a sample that is part of this study: Spain 2011 Q2 LFS
Note: Labor force survey; age grouped into categories
MICRODATA SOURCE: National Institute of Statistics (INE)
SAMPLE SIZE (person records): ~160,000.
SAMPLE DESIGN: Two-stage sample with stratification of the first-stage units. The first-stage units are census sections. Second-stage units are the main family dwellings (inhabited permanently) and fixed accommodations (shacks, caves, etc.). Census sections are stratified by province according the the size and demographic relevance of the municipality to which they belong. Within in each geographic stratum, census sections are substratified according socio-economic criteria. Since 2015, 3822 census sections and 20 dwellings are selected (25 in Barcelona, Madrid, Sevilla, Valencia, and Zaragoza). Each dwelling remains in the sample for six consecutive quarters.
Face-to-face [f2f]A single questionnaire with 10 sections: 1) General information from all interviewees; 2) Questions on relation to economic activity; 3) Type of employment; 4) Job search; 5) Professional experience; 6) Education and training; 7) Registration at the Public Employment Office; 8) Diverse situations; 9) Situation one year ago; 10) Work during the previous year., CENSUS DAY: Continuous surveySurvey weights computed by statistical agency should be used for most types of analysisIPUMS 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.National Institute of Statistics (INE)Steven 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: Spain, National Institute of Statistics (INE). Labour Force Survey
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 es2011i, 2025ESP2011_LFS-Q2-H-H.datHousehold records64,999asciiMinnesota Population CenterVersion 7.5, IPUMS sampleESP2011_LFS-Q2-P-H.datPerson records~160,000asciiMinnesota 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 -- HOUSEHOLDSurvey quarterQUARTER indicates the quarter of data collection within the corresponding survey year.1Quarter 12Quarter 23Quarter 34Quarter 4Technical 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 -- HOUSEHOLDNumber of unrelated personsUNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE.00112233445566778899+Group Quarters Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLD1st subnational geographic level, world [consistent boundaries over time]GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV1 is a 6-digit numeric variable.
GEOLEV1 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR.Geography: Global Variables -- HOUSEHOLD2nd subnational geographic level, world [consistent boundaries over time]GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV2 is a 9-digit numeric variable.
GEOLEV2 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR.Geography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 1, EuropeENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification.
The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.
Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.0101AT1 / Ostösterreich0102AT2 / Südösterreich0103AT3 / Westösterreich0601DE1 / Baden-Württemberg0602DE2 / Bayern0603DE3 / Berlin0604DE4 / Brandenburg0605DE5 / Bremen0606DE6 / Hamburg0607DE7 / Hessen0608DE8 / Mecklenburg-Vorpommern0609DE9 / Niedersachsen0610DEA / Nordrhein-Westfalen0611DEB / Rheinland-Pfalz0612DEC / Saarland0613DED / Sachsen0614DEE / Sachsen-Anhalt0615DEF / Schleswig-Holstein0616DEG / Thüringen0901ES1 / Noroeste0902ES2 / Noreste0903ES3 / Comunidad de Madrid0904ES4 / Centro (E)0905ES5 / Este0906ES6 / Sur0907ES7 / Canarias0909ES / Unknown1101FR1 / Île de France1102FR2 / Bassin Parisien1103FR3 / Nord - Pas-de-Calais1104FR4 / Est1105FR5 / Ouest1106FR6 / Sud-Ouest1107FR7 / Centre-Est1108FR8 / Méditerranée1109FR9 / Département d’Outre-Mer1199FR99 / Unknown1201EL1 / Voreia Ellada1202EL2 / Kentriki Ellada1203EL3 / Attiki1204EL4 / Nisia Aigaiou, Kriti1400IE0 / Republic of Ireland1503ITC / Nord-Ovest1506ITF / Sud1507ITG / Isole1508ITH / Nord-Est1509ITI / Centro2101PL1 / Centralny2102PL2 / Południowy2103PL3 / Wschodni2104PL4 / Północno-zachodni2105PL5 / Południowo-zachodni2106PL6 / Północny2201PT1 / Continente2202PT2 / Região Autónoma dos Açores2203PT3 / Região Autónoma da Madeira2301RO1 / Macroregiunea Unu2302RO2 / Macroregiunea Doi2303RO3 / Macroregiunea Trei2304RO4 / Macroregiunea Patru2501SI0 / Slovenia2600SK0 / Slovensko2701UKC / North East (England)2702UKD / North West (England)2703UKE / Yorkshire and the Humber (England)2704UKF / East Midlands (England)2705UKG / West Midlands (England)2706UKH / East of England (England)2707UKI / LONDON (England)2708UKJ / South East (England)2709UKK / South West (England)2710UKL / WALES2711UKM / SCOTLAND2712UKN / NORTHERN IRELAND3400CH0/Switzerland3901TR1 / Istanbul3902TR2 / Bati Marmara3903TR3 / Ege3904TR4 / Dogu Marmara3905TR5 / Bati Anadolu3906TR6 / Akdeniz3907TR7 / Orta Anadolu3908TR8 / Bati Karadeniz3909TR9 / Dogu Karadeniz3911TRA / Kuzeydogu Anadolu3912TRB / Ortadogu Anadolu3913TRC / Güneydogu Anadolu9999UNKNOWNGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 2, EuropeENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat.
The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.0111AT11 / Burgenland0112AT12 / Niederösterreich0113AT13 / Wien0121AT21 / Kärnten0122AT22 / Steiermark0131AT31 / Oberösterreich0132AT32 / Salzburg0133AT33 / Tirol0134AT34 / Vorarlberg0911ES11 / Galicia0912ES12 / Principado de Asturias0913ES13 / Cantabria0921ES21 / País Vasco0922ES22 / Comunidad Foral de Navarra0923ES23 / La Rioja0924ES24 / Aragón0930ES30 / Comunidad de Madrid0941ES41 / Castilla y León0942ES42 / Castilla-La Mancha0943ES43 / Extremadura0951ES51 / Cataluña0952ES52 / Comunidad Valenciana0953ES53 / Illes Balears0961ES61 / Andalucía0962ES62 / Región de Murcia0963ES63 / Ciudad Autónoma de Ceuta0964ES64 / Ciudad Autónoma de Melilla0970ES70 / Canarias0999ES / Unknown1110FR10 / Île de France1121FR21 / Champagne-Ardenne1122FR22 / Picardie1123FR23 / Haute-Normandie1124FR24 / Centre1125FR25 / Basse-Normandie1126FR26 / Bourgogne1130FR30 / Nord-Pas-de-Calais1141FR41 / Lorraine1142FR42 / Alsace1143FR43 / Franche-Comté1151FR51 / Pays de la Loire1152FR52 / Bretagne1153FR53 / Poitou-Charentes1161FR61 / Aquitaine1162FR62 / Midi-Pyrénées1163FR63 / Limousin1171FR71 / Rhône-Alpes1172FR72 / Auvergne1181FR81 / Lanquedoc-Roussillon1182FR82 / Provence-Alpes-Côte d'Azur1183FR83 / Corse1191FR91 / Guadeloupe1192FR92 / Martinique1193FR93 / Guyane1194FR94 / Réunion1199FR99 / Unknown1211EL11 / Anatoliki Makedonia, Thraki1212EL12 / Kentriki Makedonia1213EL13 / Dytiki Makedonia1214EL14 / Thessalia1221EL21 / Ipeiros1222EL22 / Ionia Nisia1223EL23 / Dytiki Ellada1224EL24 / Sterea Ellada1225EL25 / Peloponnisos1230EL30 / Attiki1241EL41 / Voreio Aigaio1242EL42 / Notio Aigaio1243EL43 / Kriti1401IE01 / Border, Midland and Western1402IE02 / Southern and Eastern1531ITC1 / Piemonte + ITC2 / Valle d'Aosta1533ITC3 / Liguria1534ITC4 /Lombardia1561ITF1 / Abruzzo1562ITF2 / Molise1563ITF3 / Campania1564ITF4 / Puglia1565ITF5 / Basilicata1566ITF6 / Calabria1571ITG1 / Sicilia1572ITG2 / Sardegna1581ITH1 / Bolzano-Bozen + ITH2 / Trento1583ITH3 / Veneto1584ITH4 / Friuli-Venezia Giulia1585ITH5 / Emilia-Romagna1591ITI1 / Toscana1592ITI2 / Umbria1593ITI3 / Marche1594ITI4 / Lazio2111PL11 / Łódzkie2112PL12 / Mazowieckie2121PL21 / Małopolskie2122PL22 / Śląskie2131PL31 / Lubelskie2132PL32 / Podkarpackie2133PL33 / Świętokrzyskie2134PL34 / Podlaskie2141PL41 / Wielkopolskie2142PL42 / Zachodniopomorskie2143PL43 / Lubuskie2151PL51 / Dolnośląskie2152PL52 / Opolskie2161PL61 / Kujawsko-Pomorskie2162PL62 / Warmińsko-Mazurskie2163PL63 / Pomorskie2211PT11 / Norte2215PT15 / Algarve2216PT16 / Centro (P)2217PT17 / Lisboa2218PT18 / Alentejo2220PT20 / Região Autónoma dos Açores2230PT30 / Região Autónoma da Madeira2311RO11 / Nord-Vest2312RO12 / Centru2321RO21 / Nord-Est2322RO22 / Sud-Est2331RO31 / Sud - Muntenia2332RO32 / Bucuresti - Ilfov2341RO41 / Sud-Vest Oltenia2342RO42 / Vest2501SI01 / Vzhodna Slovenija2502SI02 / Zahodna Slovenija2599SI / Unknown2601SK01 / Bratislavský kraj2602SK02 / Západné Slovensko2603SK03 / Stredné Slovensko2604SK04 / Východné Slovensko3401CH01 / Région Lémanique3402CH02 / Espace Mittelland3403CH03 / Nordwestschweiz3404CH04 / Zurich3405CH05 / Ostschweiz3406CH06 / Zentralschweiz3407CH07 / Ticino3910TR10 / Istanbul3921TR21 / Tekirdag, Edirne, Kirklareli3922TR22 / Balikesir, Çanakkale3931TR31 / Izmir3932TR32 / Aydin, Denizli, Mugla3933TR33 / Manisa, Afyonkarahisar, Kütahya, Usak3941TR41 / Bursa, Eskisehir, Bilecik3942TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova3951TR51 / Ankara3952TR52 / Konya, Karaman3961TR61 / Antalya, Isparta, Burdur3962TR62 / Adana, Mersin3963TR63 / Hatay, Kahramanmaras, Osmaniye3971TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir3972TR72 / Kayseri, Sivas, Yozgat3981TR81 / Zonguldak, Karabük, Bartin3982TR82 / Kastamonu, Çankiri, Sinop3983TR83 / Samsun, Tokat, Çorum, Amasya3990TR90 / Trabzon3991TRA1 / Erzurum, Erzincan, Bayburt3992TRA2 / Agri, Kars, Igdir, Ardahan3993TRB1 / Malatya, Elazig, Bingöl, Tunceli3994TRB2 / Van, Mus, Bitlis, Hakkari3995TRC1 / Gaziantep, Adiyaman, Kilis3996TRC2 / Sanliurfa, Diyarbakir3997TRC3 / Mardin, Batman, Sirnak, SiirtGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 3, EuropeENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
ENUTS3 corresponds to the 2010 version of NUTS3 released by Eurostat.
The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.01111AT111 / Mittelburgenland + AT113 / Südburgenland01112AT112 / Nordburgenland01121AT121 / Mostviertel-Eisenwurzen01122AT122 / Niederösterreich-Süd01123AT123 / Sankt Pölten01124AT124 / Waldviertel01125AT125 / Weinviertel01126AT126 / Wiener Umland/Nordteil01127AT127 / Wiener Umland/Südteil01130AT130 / Wien01211AT211 / Klagenfurt-Villach01212AT212 / Oberkärnten01213AT213 / Unterkärnten01221AT221 / Graz01222AT222 / Liezen01223AT223 / Östliche Obersteiermark01224AT224 / Oststeiermark01225AT225 / West- und Südsteiermark01226AT226 / Westliche Obersteiermark01311AT311 / Innviertel01312AT312 / Linz-Wels01313AT313 / Mühlviertel01314AT314 / Steyr-Kirchdorf01315AT315 / Traunviertel01321AT321 / Lungau + AT322 / Pinzgau-Pongau01323AT323 / Salzburg und Umgebung01331AT331 / Außerfern + AT334 / Tiroler Oberland01332AT332 / Innsbruck01333AT333 / Osttirol + AT335 / Tiroler Unterland01341AT341 / Bludenz-Bregenzer Wald01342AT342 / Rheintal-Bodenseegebiet09111ES111 / A Coruña09112ES112 / Lugo09113ES113 / Ourense09114ES114 / Pontevedra09120ES120 / Asturias09130ES130 / Cantabria09211ES211 / Álava09212ES212 / Guipúzcoa09213ES213 / Vizcaya09220ES220 / Navarra09230ES230 / La Rioja09241ES241 / Huesca09242ES242 / Teruel09243ES243 / Zaragoza09300ES300 / Madrid09411ES411 / Ávila09412ES412 / Burgos09413ES413 / León09414ES414 / Palencia09415ES415 / Salamanca09416ES416 / Segovia09417ES417 / Soria09418ES418 / Valladolid09419ES419 / Zamora09421ES421 / Albacete09422ES422 / Ciudad Real09423ES423 / Cuenca09424ES424 / Guadalajara09425ES425 / Toledo09431ES431 / Badajoz09432ES432 / Cáceres09511ES511 / Barcelona09512ES512 / Girona09513ES513 / Lleida09514ES514 / Tarragona09521ES521 / Alicante/Alacant09522ES522 / Castellón/Castelló09523ES523 / Valencia/València09532ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera09611ES611 / Almería09612ES612 / Cádiz09613ES613 / Córdoba09614ES614 / Granada09615ES615 / Huelva09616ES616 / Jaén09617ES617 / Málaga09618ES618 / Sevilla09620ES620 / Murcia09630ES630 / Ceuta09640ES640 / Melilla09705ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote09709ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro09999ES / Unknown12111EL111 / Evros12112EL112 / Xanthi12113EL113 / Rodopi12114EL114 / Drama12115EL115 / Kavala12121EL121 / Imathia12122EL122 / Thessaloniki12123EL123 / Kilkis12124EL124 / Pella12125EL125 / Pieria12126EL126 / Serres12127EL127 / Chalkidiki and Aghion Oros12131EL131 / Grevena12132EL132 / Kastoria12133EL133 / Kozani12134EL134 / Florina12141EL141 / Karditsa12142EL142 / Larisa12143EL143 / Magnisia12144EL144 / Trikala12211EL211 / Arta12212EL212 / Thesprotia12213EL213 / Ioannina12214EL214 / Preveza12221EL221 / Zakynthos12222EL222 / Kerkyra12223EL223 / Kefallinia12224EL224 / Lefkada12231EL231 / Aitoloakarnania12232EL232 / Achaia12233EL233 / Ilia12241EL241 / Voiotia12242EL242 / Evvoia12243EL243 / Evrytania12244EL244 / Fthiotida12245EL245 / Fokida12251EL251 / Argolida12252EL252 / Arkadia12253EL253 / Korinthia12254EL254 / Lakonia12255EL255 / Messinia12300EL300 / Attiki12411EL411 / Lesvos12412EL412 / Samos12413EL413 / Chios12421EL421 / Dodekanissos12422EL422 / Kyklades12431EL431 / Iraklio12432EL432 / Lasithi12433EL433 / Rethymni12434EL434 / Chania14011IE011 / Border14012IE012 / Midlands14013IE013 / West14021IE021 / Dublin14022IE022 / Mid-East14023IE023 / Mid-West14024IE024 / South-East14025IE025 / South-West15311ITC11 / Torino15312ITC12 / Vercelli15313ITC13 / Biella15314ITC14 / Verbano-Cusio-Ossola15315ITC15 / Novara15316ITC16 / Cuneo15317ITC17 / Asti15318ITC18 / Alessandria15320ITC20 / Aosta15331ITC31 / Imperia15332ITC32 / Savona15333ITC33 / Genova15334ITC34 / La Spezia15341ITC41 / Varese15342ITC42 / Como15343ITC43 / Lecco15344ITC44 / Sondrio15346ITC46 / Bergamo15347ITC47 / Brescia15348ITC48 / Pavia15349ITC49 / Lodi15350ITC4A / Cremona15351ITC4B / Mantova15352ITC4C / Milano15353ITC4D / Monza e della Brianza15611ITF11 / L'Aquila15612ITF12 / Teramo15613ITF13 / Pescara15614ITF14 / Chieti15621ITF21 / Isernia15622ITF22 / Campobasso15631ITF31 / Caserta15632ITF32 / Benevento15633ITF33 / Napoli15634ITF34 / Avellino15635ITF35 / Salerno15643ITF43 / Taranto15644ITF44 / Brindisi15645ITF45 / Lecce15646ITF46 / Foggia15647ITF47 / Bari15648ITF48 / Barletta-Andria-Trani15651ITF51 / Potenza15652ITF52 / Matera15661ITF61 / Cosenza15662ITF62 / Crotone15663ITF63 / Catanzaro15664ITF64 / Vibo Valentia15665ITF65 / Reggio di Calabria15711ITG11 / Trapani15712ITG12 / Palermo15713ITG13 / Messina15714ITG14 / Agrigento15715ITG15 / Caltanissetta15716ITG16 / Enna15717ITG17 / Catania15718ITG18 / Ragusa15719ITG19 / Siracusa15733Sud Sardegna15725ITG25 / Sassari15726ITG26 / Nuoro15727ITG27 / Cagliari15728ITG28 / Oristano15729ITG29 / Olbia-tempio15730ITG2A / Ogliastra15731ITG2B / Medio-campidano15732ITG2C / Carbonia-Iglesias15810ITH10 / Bolzano-Bozen15820ITH20 / Trento15831ITH31 / Verona15832ITH32 / Vicenza15833ITH33 / Belluno15834ITH34 / Treviso15835ITH35 / Venezia15836ITH36 / Padova15837ITH37 / Rovigo15841ITH41 / Pordenone15842ITH42 / Udine15843ITH43 / Gorizia15844ITH44 / Trieste15851ITH51 / Piacenza15852ITH52 / Parma15853ITH53 / Reggio nell'Emilia15854ITH54 / Modena15855ITH55 / Bologna15856ITH56 / Ferrara15857ITH57 / Ravenna15858ITH58 / Forlì-Cesena15859ITH59 / Rimini15911ITI11 / Massa-Carrara15912ITI12 / Lucca15913ITI13 / Pistoia15914ITI14 / Firenze15915ITI15 / Prato15916ITI16 / Livorno15917ITI17 / Pisa15918ITI18 / Arezzo15919ITI19 / Siena15920ITI1A / ELosseto15921ITI21 / Perugia15922ITI22 / Terni15931ITI31 / Pesaro e Urbino15932ITI32 / Ancona15933ITI33 / Macerata15934ITI34 / Ascoli Piceno15935ITI35 / Fermo15941ITI41 / Viterbo15942ITI42 / Rieti15943ITI43 / Roma15944ITI44 / Latina15945ITI45 / Frosinone22111PT111 / Minho-Lima22112PT112 / Cávado22113PT113 / Ave22114PT114 / ELande Porto22115PT115 / Tâmega22116PT116 / Entre Douro e Vouga22117PT117 / Douro22118PT118 / Alto Trás-os-Montes22150PT150 / Algarve22161PT161 / Baixo Vouga22162PT162 / Baixo Mondego22163PT163 / Pinhal Litoral22165PT165 / Dão-Lafões22166PT16B / Oeste22167PT16C / Médio Tejo22169PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira22171PT171 / Grande Lisboa22172PT172 / Península de Setúbal22185PT185 / Lezíria do Tejo22189PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo22200PT200 / Região Autónoma dos Açores22300PT300 / Região Autónoma da Madeira23111RO111 / Bihor23112RO112 / Bistrita Nasaud23113RO113 / Cluj23114RO114 / Maramures23115RO115 / Satu Mare23116RO116 / Salaj23121RO121 / Alba23122RO122 / Brasov23123RO123 / Covasna23124RO124 / Harghita23125RO125 / Mures23126RO126 / Sibiu23211RO211 / Bacau23212RO212 / Botosani23213RO213 / Iasi23214RO214 / Neamt23215RO215 / Suceava23216RO216 / Vaslui23221RO221 / Braila23222RO222 / Buzau23223RO223 / Constanta23224RO224 / Galati23225RO225 / Tulcea23226RO226 / Vrancea23311RO311 / Arges23312RO312 / Calarasi23313RO313 / Dimbovita23314RO314 / Giurgiu23315RO315 / Ialomita23316RO316 / Prahova23317RO317 / Teleorman23321RO321 / Bucuresti23322RO322 / Ilfov23411RO411 / Dolj23412RO412 / Gorj23413RO413 / Mehedinti23414RO414 / Olt23415RO415 / Valcea23421RO421 / Arad23422RO422 / Caras Severin23423RO423 / Hunedoara23424RO424 / Timis25011SI011 / Pomurska25012SI012 / Podravska25013SI013 / Koroka25014SI014 / Savinjska25015SI015 / Zasavska25016SI016 / Spodnjeposavska25017SI017 / Jugovzhodna Slovenija25018SI018 / Notranjsko-kraka25021SI021 / Osrednjeslovenska25022SI022 / Gorenjska25023SI023 / Gorika25024SI024 / Obalno-kraka25999SI / Unknown26010SK010 / Bratislavský kraj26021SK021 / Trnavský kraj26022SK022 / Trenčiansky kraj26023SK023 / Nitriansky kraj26031SK031 / Žilinský kraj26032SK032 / Banskobystrický kraj26041SK041 / Prešovský kraj26042SK042 / Košický kraj34011CH011 / Vaud34012CH012 / Valais34013CH013 / Geneva34021CH021 / Bern34022CH022 / Freiburg34023CH023 / Solothurn34024CH024 / Neuchatel34025CH025 / Jura34031CH031 / Basel-Stadt34032CH032 / Basel-Landschaft34033CH033 / Aargau34040CH040 / Zurich34051CH051 / Glarus34052CH052 / Schaffhausen34053CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden34055CH055 / St. Gallen34056CH056 / Graubundun34057CH057 / Thurgau34061CH061 / Luzern34062CH062 / Uri34063CH063 / Schwyz34064CH064 / Obwalden34065CH065 / Nidwalden34066CH066 / Zug34070CH070 / Ticino39100TR100 / Istanbul39211TR211 / Tekirdag39212TR212 / Edirne39213TR213 / Kirklareli39221TR221 / Balikesir39222TR222 / Çanakkale39310TR310 / Izmir39321TR321 / Aydin39322TR322 / Denizli39323TR323 / Mugla39331TR331 / Manisa39332TR332 / Afyon39333TR333 / Kütahya39334TR334 / Usak39411TR411 / Bursa39412TR412 / Eskisehir39413TR413 / Bilecik39421TR421 / Kocaeli39422TR422 / Sakarya39423TR423 / Düzce39424TR424 / Bolu39425TR425 / Yalova39510TR510 / Ankara39521TR521 / Konya39522TR522 / Karaman39611TR611 / Antalya39612TR612 / Isparta39613TR613 / Burdur39621TR621 / Adana39622TR622 / Içel (Mersin)39631TR631 / Hatay39632TR632 / Kahramanmaras39633TR633 / Osmaniye39711TR711 / Kirikkale39712TR712 / Aksaray39713TR713 / Nigde39714TR714 / Nevsehir39715TR715 / Kirsehir39721TR721 / Kayseri39722TR722 / Sivas39723TR723 / Yozgat39811TR811 / Zonguldak39812TR812 / Karabük39813TR813 / Bartin39821TR821 / Kastamonu39822TR822 / Çankiri39823TR823 / Sinop39831TR831 / Samsun39832TR832 / Tokat39833TR833 / Çorum39834TR834 / Amasya39901TR901 / Trabzon39902TR902 / Ordu39903TR903 / Giresun39904TR904 / Rize39905TR905 / Artvin39906TR906 / Gümüshane39910TRA11 / Erzurum39911TRA12 / Erzincan39912TRA13 / Bayburt39921TRA21 / Agri39922TRA22 / Kars39923TRA23 / Igdir39924TRA24 / Ardahan39931TRB11 / Malatya39932TRB12 / Elazig39933TRB13 / Bingöl39934TRB14 / Tunceli39941TRB21 / Van39942TRB22 / Mus39943TRB23 / Bitlis39944TRB24 / Hakkari39951TRC11 / Gaziantep39952TRC12 / Adiyaman39953TRC13 / Kilis39961TRC21 / Sanliurfa39962TRC22 / Diyarbakir39971TRC31 / Mardin39972TRC32 / Batman39973TRC33 / Sirnak39974TRC34 / SiirtGeography: Global Variables -- 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 -- HOUSEHOLDSpain, Communities and Autonomous Cities 1981 - 2018 [Level 1; consistent boundaries, GIS]GEO1_ES identifies the household's communities and autonomous cities within Spain in all sample years. Communities and autonomous cities are the first level administrative units of the country. GEO1_ES is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_ES can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Spain can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.724011Galicia724012Principado de Asturias724013Cantabria724021País Vasco724022Comunidad Foral de Navarra724023La Rioja724024Aragón724030Comunidad de Madrid724041Castilla y León724042Castilla-La Mancha724043Extremadura724051Cataluña724052Comunidad Valenciana724053Islas Baleares724061Andalucía724062Región de Murcia724063Ciudad Autónoma de Ceuta724064Ciudad Autónoma de Melilla724070Canarias724099UnknownGeography: O-Z Variables -- HOUSEHOLDSpain, Province 1981 - 2018 [Level 2; consistent boundaries,GIS]GEO2_ES identifies the householdâs province within Spain for all sample years. Provinces are the second level administrative units of the country, after communities and autonomous cities. A GIS map (in shapefile format), corresponding to GEO2_ES can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Spain can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.724011015A Coruña724011027Lugo724011032Ourense724011036Pontevedra724012033Asturias724013039Cantabria724021001Álava724021020Guipúzcoa724021048Vizcaya724022031Navarra724023026La Rioja724024022Huesca724024044Teruel724024050Zaragoza724030028Madrid724041005Ávila724041009Burgos724041024León724041034Palencia724041037Salamanca724041040Segovia724041042Soria724041047Valladolid724041049Zamora724042002Albacete724042013Ciudad Real724042016Cuenca724042019Guadalajara724042045Toledo724043006Badajoz724043010Cáceres724051008Barcelona724051017Girona724051025Lleida724051043Tarragona724052003Alicante/Alacant724052012Castellón/Castelló724052046Valencia/València724053007Islas Baleares724061004Almería724061011Cádiz724061014Córdoba724061018Granada724061021Huelva724061023Jaén724061029Málaga724061041Sevilla724062030Murcia724063051Ceuta724064052Melilla724070035Las Palmas724070038Santa Cruz de Tenerife724099999UnknownGeography: O-Z Variables -- HOUSEHOLDHousehold classificationHHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.00Vacant household01One-person household02Married/cohab couple, no children03Married/cohab couple with children04Single-parent family05Polygamous family06Extended family, relatives only07Composite household, family and non-relatives08Non-family household09Unclassified subfamily10Other relative or non-relative household11Group quarters99UnclassifiableConstructed Household Variables -- HOUSEHOLDNumber of families in householdNFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.0Vacant household11 family22 families33 families44 families55 families66 families77 families88 families99 or more familiesConstructed Household Variables -- HOUSEHOLDNumber of married couples in householdNCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).0No married couples in household11 couple22 couples33 couples44 couples55 couples66 couples77 couples88 couples99 or more couplesConstructed Household Variables -- HOUSEHOLDNumber of mothers in householdNMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).0No mothers in household11 mother22 mothers33 mothers44 mothers55 mothers66 mothers77 mothers88 mothers99 or more mothers in householdConstructed Household Variables -- HOUSEHOLDNumber of fathers in householdNFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).0No fathers in household11 father22 fathers33 fathers44 fathers55 fathers66 fathers77 fathers88 fathers99 or more fathers in householdConstructed Household Variables -- HOUSEHOLDHead's location in householdHEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households.HEADLOC is a 3-digit numeric variable.Constructed Household Variables -- HOUSEHOLDAutonomous communitySpain 2011 Q2 LFS: All householdsThis variable indicates the autonomous community.01Andalusia02Aragon03Asturias, Principality of04Balearic Islands05Canary Islands06Cantabria 07Castile and Leon08Castilla-La Mancha 09Catalonia10Valencian Community11Extremadura 12Galicia 13Madrid Region14Murcia Region15Navarre, Community of16Pais Vasco17La Rioja 51Ceuta 52Melilla Geography: O-Z Variables -- HOUSEHOLDProvinceProvince: ____
<br />_ _ PROVSpain 2011 Q2 LFS: All householdsThis variable indicates the province.01Araba 02Albacete 03Alicante04Almeria05Avila06Badajoz 07Balearic Islands08Barcelona 09Burgos 10Caceres11Cadiz12Castellon 13Ciudad Real 14Cordoba15Coru 16Cuenca 17Girona 18Granada 19Guadalajara 20Gipuzkoa 21Huelva 22Huesca 23Jaen24Leon25Lleida 26Rioja, La 27Lugo 28Madrid 29Malaga30Murcia 31Navarre32Ourense 33Asturias 34Palencia 35Palmas, Las 36Pontevedra 37Salamanca 38Santa Cruz de Tenerife 39Cantabria 40Segovia 41Seville42Soria 43Tarragona 44Teruel 45Toledo 46Valencia47Valladolid 48Biscay49Zamora 50Zaragoza 51Ceuta 52Melilla Geography: O-Z Variables -- HOUSEHOLDSequence number of dwellingSequence number of the housing: ____
<br />_ _ VIVISpain 2011 Q2 LFS: All householdsThis variable indicates the sequence number of the dwelling.This is a 5-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDPerson numberPERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.PERNUM is a 4-digit numeric variable.Technical Person Variables -- PERSONPerson weightPERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Person Variables -- PERSONMother's location in householdMOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero.MOMLOC is a 3-digit numeric variable.
Codes0 = No mother of this person present in the household.
1 or higher = The person number of this person's motherConstructed Family Interrelationship Variables -- PERSONFather's location in householdPOPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero.POPLOC is a 3-digit numeric variable.
Codes0 = No father of this person present in the household.
1 or higher = The person number of this person's fatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdSPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology.SPLOC is a 3-digit numeric variable.
Codes0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouseConstructed Family Interrelationship Variables -- PERSONRule for linking parentPARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No parent of person in household11Link to head or spouse, unambiguous12Link to head or spouse, ambiguous21Child-Grandchild, within empirical child cap22Child-Grandchild, within constructed child cap23Child-Grandchild, exceeds child cap31Specified Other Relatives, within empirical child cap32Specified Other Relatives, within constructed child cap33Specified Other Relatives, exceeds child cap41Other Relatives, within empirical child cap42Other Relatives, within constructed child cap51Non-Relatives, within empirical child cap52Non-Relatives, within constructed child capConstructed Family Interrelationship Variables -- PERSONRule for linking spouseSPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No spouse present01Rule 1: strong relationship pairing, couple adjacent02Rule 2: strong relationship pairing, couple not adjacent03Rule 3: weak relationship pairing, couple adjacent04Rule 4: weak relationship pairing, couple not adjacent05Rule 5: weak consensual union pairings06Rule 6: sample-specific rules (usually child-to-child)Constructed Family Interrelationship Variables -- PERSONProbable stepmotherSTEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children born or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process.
In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.0Biological mother or no mother present1Mother has no children born or surviving2Child reports mother is deceased3Explicitly identified step relationship4Mother reports no children in the home5Age difference implausible6Child exceeds known fertility of motherConstructed Family Interrelationship Variables -- PERSONProbable stepfatherSTEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.0Biological father or no father present1Child reports father is deceased2Explicitly identified step relationship3Age difference implausible4Spouse of mother5Identified as adopted6Surname difference -- male child or never-married femaleConstructed Family Interrelationship Variables -- PERSONMan with more than one wife linkedPOLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.0No more than one wife linked via SPLOC1More than one wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONWoman is second or higher order wifePOLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.0Person is not the 2nd or higher order wife linked via SPLOC1Person is the 2nd or higher order wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONFamily unit membershipFAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).FAMUNIT is a 4-digit numeric variable.
CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.Constructed Family Interrelationship Variables -- PERSONNumber of own family members in householdFAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).00011 family member present00022 family members present00033 family members present000440005500066000770008800099001010001111001212001313001414001515001616001717001818001919002020002121002222002323002424002525002626002727002828002929003030003131003232003333003434003535003636003737003838003939004040004141004242004343004444004545004646004747004848004949005050005151005252005353005454005555005656005757005858005959006060006161006262006363006464006565006666006767006868006969007070007171007272007373007474007575007676007777007878007979008080008181008282008383008484008585008686008787008888008989009090009191009292009393009494009595009696009797009898009999 or more personsConstructed Family Interrelationship Variables -- PERSONNumber of own children in householdNCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.000011022033044055066077088099 or more children in householdConstructed Family Interrelationship Variables -- PERSONNumber of own children under age 5 in householdNCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.000011022033044055066077088099 or more own children under age 5 in household98One or more children have unknown ageConstructed Family Interrelationship Variables -- PERSONAge of eldest own child in householdELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONAge of youngest own child in householdYNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONRelationship to household head [general version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1Head2Spouse/partner3Child4Other relative5Non-relative6Other relative or non-relative9UnknownDemographic Variables -- PERSONRelationship to household head [detailed version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1000Head2000Spouse/partner2100Spouse2200Unmarried partner2210Civil union2300Same-sex spouse/partner3000Child3100Biological child3200Adopted child3300Stepchild3400Child/child-in-law3500Child/child-in-law/grandchild3600Child of unmarried partner4000Other relative4100Grandchild4110Grandchild or great grandchild4120Great grandchild4130Great-great grandchild4200Parent/parent-in-law4210Parent4211Stepparent4220Parent-in-law4300Child-in-law4301Daughter-in-law4302Spouse/partner of child4310Unmarried partner of child4400Sibling/sibling-in-law4410Sibling4420Stepsibling4430Sibling-in-law4431Sibling of spouse/partner4432Spouse/partner of sibling4500Grandparent4510Great grandparent4600Parent/grandparent/ascendant4700Aunt/uncle4800Other specified relative4810Nephew/niece4820Cousin4830Sibling's sibling-in-law4900Other relative, not elsewhere classified4910Other relative with same family name4920Other relative with different family name4930Other relative, not specified (secondary family)5000Non-relative5100Friend/guest/visitor/partner5110Partner/friend5111Friend5112Partner/roommate5113Housemate/roommate5120Visitor5130Ex-spouse5140Godparent5150Godchild5200Employee5210Domestic employee5220Relative of employee, n.s.5221Spouse of servant5222Child of servant5223Other relative of servant5300Roomer/boarder/lodger/foster child5310Boarder5311Boarder or guest5320Lodger5330Foster child5340Tutored/foster child5350Tutored child5400Employee, boarder, or guest5500Other specified non-relative5510Agregado5520Temporary resident, guest5600Group quarters5610Group quarters, non-inmates5620Institutional inmates5900Non-relative, n.e.c.6000Other relative or non-relative9999UnknownDemographic Variables -- PERSONRelationship to head, EuropeERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person.
ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses.10Reference person / Head20Spouse or partner21Husband or wife22Partner in consensual union30Child/child-in-law of head or of spouse/partner31Spouse or partner of child of head40Parent of head, of spouse, or of partner50Other relative of head, spouse, or partner60Non-relative of head61Foster child62Boarder63Domestic servant64Other99Not stated / unknownDemographic Variables -- PERSONAgeAGE gives age in years as of the person's last birthday prior to or on the day of enumeration.000Less than 1 year0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100+999Not reported/missingDemographic Variables -- PERSONAge, grouped into intervalsAGE2 gives computed years of age grouped into intervals.010 to 4025 to 90310 to 140415 to 19050 to 5066 to 100710 to 150811 to 140915 to 171016 to 191118 to 241220 to 241325 to 291430 to 341535 to 391640 to 441745 to 491850 to 541955 to 592060 to 642165 to 692270 to 742375 to 792480 to 842585+98UnknownDemographic Variables -- PERSONSexSEX reports the sex (gender) of the respondent.1Male2Female9UnknownDemographic Variables -- PERSONMarital status [general version]MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.0NIU (not in universe)1Single/never married2Married/in union3Separated/divorced/spouse absent4Widowed9Unknown/missingDemographic Variables -- PERSONMarital status [detailed version]MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.000NIU (not in universe)100Single/never married110Engaged111Never married and never cohabited200Married or consensual union210Married, formally211Married, civil212Married, religious213Married, civil and religious214Married, civil or religious215Married, traditional/customary216Married, monogamous217Married, polygamous219Married, spouse absent (historical samples)220Consensual union300Separated/divorced/spouse absent310Separated or divorced320Separated or annulled330Separated331Separated legally332Separated de facto333Separated from marriage334Separated from consensual union335Separated from consensual union or marriage340Annulled350Divorced400Widowed410Widowed or divorced411Widowed from consensual union or marriage412Widowed from marriage413Widowed from consensual union420Widowed, divorced, or separated999Unknown/missingDemographic Variables -- PERSONMarital status, EuropeEMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions.
EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses.0NIU (not in universe)1Never married2Married3Widowed and not remarried4Divorced/separated and not remarried5Widowed or divorced9Unknown / missingDemographic Variables -- PERSONNativity statusNATIVITY indicates whether the person was native-born or foreign-born.0NIU (not in universe)1Native-born2Foreign-born9Unknown/missingNativity and Birthplace Variables -- PERSONCountry of birthBPLCOUNTRY indicates the person's country of birth.00000NIU (not in universe)10000Africa11000Eastern Africa11005British Indian Ocean Territory11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11051Ethiopia (including Eritrea)11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15021Upper Volta15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15081Guinea-Bissau and Cape Verde15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15180Canary Islands15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21991Caribbean commonwealth, n.s.21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32042India/Pakistan/Bangladesh/Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32101Pakistan/Bangladesh32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34071Israel/Palestine34080Jordan34090Kuwait34100Lebanon34110Palestine34111West Bank34112Gaza Strip34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41991Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43121Spain/Portugal43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43991Gibraltar/Malta43992Portugal/Greece43993Italy, Holy See, San Marino43999Southern Europe, other or n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Belgium/Netherlands/Luxemburg44030France44040Germany44042West Germany44043Germany/Austria44044Mecklenburg-Schwerin44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44991Belgium, Denmark, Luxembourg, Netherlands44999Western Europe, other or n.s.49992European Union49993European Union (original 15)49994Other European Union (not original 15)49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53060Federated States of Micronesia53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.80000AT SEA90000Other countries n.s.99999UnknownNativity and Birthplace Variables -- PERSONCitizenshipCITIZEN indicates the person's citizenship status within the country in which they were enumerated.1Citizen, not specified2Citizen by birth3Naturalized citizen4Not a citizen5Without citizenship, stateless8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONCountry of citizenshipNATION indicates the person's country of citizenship.00000NIU (not in universe)10000Africa11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt/United Arab Rep.13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21220St. Lucia21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24021Canada, First Nations24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32990Burma, India, Pakistan, Ceylon32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33991Laos and Cambodia33992Malaysia and Singapore33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42121Britain42122Scotland42123Wales42990Nordic countries42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43999Southern Europe, other or n.s.44000Western Europe44010Austria44011Austro-Hungarian44020Belgium44022Belgium/Netherlands/Luxemburg44030France44040Germany44041East Germany44042West Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44999Western Europe, other or n.s.49992European Union49993European Union (Original 15)49994Other European Union49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.90000Other countries n.s.99998No citizenship/nationality99999UnknownNativity and Birthplace Variables -- PERSONYear of immigrationYRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated.0000NIU (not in universe)1790179018001800180118011802180218031803180418041805180518061806180718071808180818091809181018101811181118121812181318131814181418151815181618161817181718181818181918191820182018211821182218221823182318241824182518251826182618271827182818281829182918301830183118311832183218331833183418341835183518361836183718371838183818391839184018401841184118421842184318431844184418451845184618461847184718481848184918491850185018511851185218521853185318541854185518551856185618571857185818581859185918601860186118611862186218631863186418641865186518661866186718671868186818691869187018701871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209998In transit9999UnknownNativity and Birthplace Variables -- PERSONYears since immigratedYRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration.000 (within previous year)0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636464656566666767686869697070717172727373747475757676777778787979808081818282838384848585868687878888898990909191929293939494959596969797+98Unknown99NIU (not in universe)Nativity and Birthplace Variables -- PERSONYears since immigrated, categorizedYRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals.1Less than 1 year21 to 4 years35 to 9 years410 or more years8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONProvince of birth, SpainBPLES indicates the province in Spain in which the person was born.01Araba02Albacete03Alicante/Alacant04Almería05Ávila06Badajoz07Balears (Illes)08Barcelona09Burgos10Cáceres11Cádiz12Castellón/Castelló13Ciudad Real14Córdoba15Coruña (A)16Cuenca17Girona18Granada19Guadalajara20Guipúzcoa21Huelva22Huesca23Jaén24León25Lleida26Rioja (La)27Lugo28Madrid29Málaga30Murcia31Navarra32Ourense33Asturias34Palencia35Palmas (Las)36Pontevedra37Salamanca38Santa Cruz de Tenerife39Cantabria40Segovia41Sevilla42Soria43Tarragona44Teruel45Toledo46Valencia/València47Valladolid48Vizcaya49Zamora50Zaragoza51Ceuta52Melilla53Ceuta, Melilla and other Spanish territories59Born in Spain, municipality unknown97Abroad98UnknownNativity and Birthplace Variables -- PERSONRegion of birth, Europe, NUTS1EBPLNT1 indicates the NUTS1 region in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. NUTS1 identifies the largest territorial units within countries.
EBPLNT1 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.
The code labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.0000NIU (not in universe)0901ES1 / Noroeste0902ES2 / Noreste0903ES3 / Comunidad de Madrid0904ES4 / Centro (E)0905ES5 / Este0906ES6 / Sur0907ES7 / Canarias0908ES6 / Sur + Other Spanish territories1101FR1 / Île de France1102FR2 / Bassin Parisien1103FR3 / Nord - Pas-de-Calais1104FR4 / Est1105FR5 / Ouest1106FR6 / Sud-Ouest1107FR7 / Centre-Est1108FR8 / Méditerranée1201EL1 / Voreia Ellada1202EL2 / Kentriki Ellada1203EL3 / Attiki1204EL4 / Nisia Aigaiou, Kriti1301HU1 / Közép-Magyarország1302HU2 / Dunántúl1303HU3 / Alföld és Észak1400IE0 / Republic of Ireland2201PT1 / Continente2202PT2 / Região Autónoma dos Açores2203PT3 / Região Autónoma da Madeira2301RO1 / Macroregiunea unu2302RO2 / Macroregiunea doi2303RO3 / Macroregiunea trei2304RO4 / Macroregiunea patru2501SI0 / Slovenija3401CH0/Switzerland3901TR1 / Istanbul3902TR2 / Bati Marmara3903TR3 / Ege3904TR4 / Dogu Marmara3905TR5 / Bati Anadolu3906TR6 / Akdeniz3907TR7 / Orta Anadolu3908TR8 / Bati Karadeniz3909TR9 / Dogu Karadeniz3911TRA / Kuzeydogu Anadolu3912TRB / Ortadogu Anadolu3913TRC / Güneydogu Anadolu9998Response suppressed9999UnknownNativity and Birthplace Variables -- PERSONRegion of birth, Europe, NUTS2EBPLNT2 indicates the NUTS2 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS2 identifies intermediate territorial units: the second level within countries.
EBPLNT2 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.
The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.0000NIU (not in universe)0911ES11 / Galicia0912ES12 / Principado de Asturias0913ES13 / Cantabria0921ES21 / País Vasco0922ES22 / Comunidad Foral de Navarra0923ES23 / La Rioja0924ES24 / Aragón0930ES30 / Comunidad de Madrid0941ES41 / Castilla y León0942ES42 / Castilla-La Mancha0943ES43 / Extremadura0951ES51 / Cataluña0952ES52 / Comunidad Valenciana0953ES53 / Illes Balears0961ES61 / Andalucía0962ES62 / Región de Murcia0963ES63 / Ciudad Autónoma de Ceuta0964ES64 / Ciudad Autónoma de Melilla0969ES63 + ES64 + Other Spanish territories0970ES70 / Canarias1110FR10 / Region d'Île de France1121FR21 / Champagne-Ardenne1122FR22 / Picardie1123FR23 / Haute-Normandie1124FR24 / Centre1125FR25 / Basse-Normandie1126FR26 / Bourgogne1130FR30 / Nord-Pas-de-Calais1141FR41 / Lorraine1142FR42 / Alsace1143FR43 / Franche-Comté1151FR51 / Pays de la Loire1152FR52 / Bretagne1153FR53 / Poitou-Charentes1161FR61 / Aquitaine1162FR62 / Midi-Pyrénées1163FR63 / Limousin1171FR71 / Rhône-Alpes1172FR72 / Auvergne1181FR81 / Lanquedoc-Roussillon1182FR82 / Provence-Alpes-Côte d'Azur1183FR83 / Corse1211EL11 / Anatoliki Makedonia, Thraki1212EL12 / Kentriki Makedonia1213EL13 / Dytiki Makedonia1214EL14 / Thessalia1221EL21 / Ipeiros1222EL22 / Ionia Nisia1223EL23 / Dytiki Ellada1224EL24 / Sterea Ellada1225EL25 / Peloponnisos1230EL30 / Attiki1241EL41 / Voreio Aigaio1242EL42 / Notio Aigaio1243EL43 / Kriti1401IE01 / Border, Midland and Western1402IE02 / Southern and Eastern2211PT11 / Norte2215PT15 / Algarve2216PT16 / Centro (P)2217PT17 / Lisboa2218PT18 / Alentejo2220PT20 / Região Autónoma dos Açores2230PT30 / Região Autónoma da Madeira2311RO11 / Nord-Vest2312RO12 / Centru2321RO21 / Nord-Est2322RO22 / Sud-Est2331RO31 / Sud - Muntenia2332RO32 / Bucuresti - Ilfov2341RO41 / Sud-Vest Oltenia2342RO42 / Vest2501SI01 / Vzhodna Slovenija2502SI02 / Zahodna Slovenija3401CH01 / Région Lémanique3402CH02 / Espace Mittelland3403CH03 / Nordwestschweiz3404CH04 / Zurich3405CH05 / Ostschweiz3406CH06 / Zentralschweiz3407CH07 / Ticino3910TR10 / Istanbul3921TR21 / Tekirdag, Edirne, Kirklareli3922TR22 / Balikesir, Çanakkale3931TR31 / Izmir3932TR32 / Aydin, Denizli, Mugla3933TR33 / Manisa, Afyonkarahisar, Kütahya, Usak3941TR41 / Bursa, Eskisehir, Bilecik3942TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova3951TR51 / Ankara3952TR52 / Konya, Karaman3961TR61 / Antalya, Isparta, Burdur3962TR62 / Adana, Mersin3963TR63 / Hatay, Kahramanmaras, Osmaniye3971TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir3972TR72 / Kayseri, Sivas, Yozgat3981TR81 / Zonguldak, Karabük, Bartin3982TR82 / Kastamonu, Çankiri, Sinop3983TR83 / Samsun, Tokat, Çorum, Amasya3990TR90 / Trabzon3991TRA1 / Erzurum, Erzincan, Bayburt3992TRA2 / Agri, Kars, Igdir, Ardahan3993TRB1 / Malatya, Elazig, Bingöl, Tunceli3994TRB2 / Van, Mus, Bitlis, Hakkari3995TRC1 / Gaziantep, Adiyaman, Kilis3996TRC2 / Sanliurfa, Diyarbakir3997TRC3 / Mardin, Batman, Sirnak, Siirt9998Response suppressed9999UnknownNativity and Birthplace Variables -- PERSONRegion of birth, Europe, NUTS3EBPLNT3 indicates the NUTS3 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS3 identifies small territorial units: the third level within countries.
EBPLNT3 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.
The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.00000NIU (Not in universe)09111ES111 / A Coruña09112ES112 / Lugo09113ES113 / Ourense09114ES114 / Pontevedra09120ES120 / Asturias09130ES130 / Cantabria09211ES211 / Álava09212ES212 / Guipúzcoa09213ES213 / Vizcaya09220ES220 / Navarra09230ES230 / La Rioja09241ES241 / Huesca09242ES242 / Teruel09243ES243 / Zaragoza09300ES300 / Madrid09411ES411 / Ávila09412ES412 / Burgos09413ES413 / León09414ES414 / Palencia09415ES415 / Salamanca09416ES416 / Segovia09417ES417 / Soria09418ES418 / Valladolid09419ES419 / Zamora09421ES421 / Albacete09422ES422 / Ciudad Real09423ES423 / Cuenca09424ES424 / Guadalajara09425ES425 / Toledo09431ES431 / Badajoz09432ES432 / Cáceres09511ES511 / Barcelona09512ES512 / Girona09513ES513 / Lleida09514ES514 / Tarragona09521ES521 / Alicante/Alacant09522ES522 / Castellón/Castelló09523ES523 / Valencia/València09532ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera09611ES611 / Almería09612ES612 / Cádiz09613ES613 / Córdoba09614ES614 / Granada09615ES615 / Huelva09616ES616 / Jaén09617ES617 / Málaga09618ES618 / Sevilla09620ES620 / Murcia09630ES630 / Ceuta09640ES640 / Melilla09699ES630 / Ceuta + ES640 / Melilla + Other Spanish territories09705ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote09709ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro12111EL111 / Evros12112EL112 / Xanthi12113EL113 / Rodopi12114EL114 / Drama12115EL115 / Kavala12121EL121 / Imathia12122EL122 / Thessaloniki12123EL123 / Kilkis12124EL124 / Pella12125EL125 / Pieria12126EL126 / Serres12127EL127 / Chalkidiki and Aghion Oros12131EL131 / ELevena12132EL132 / Kastoria12133EL133 / Kozani12134EL134 / Florina12141EL141 / Karditsa12142EL142 / Larissa12143EL143 / Magnissia12144EL144 / Trikala12211EL211 / Arta12212EL212 / Thesprotia12213EL213 / Ioannina12214EL214 / Preveza12221EL221 / Zakynthos12222EL222 / Kerkyra12223EL223 / Kefallinia12224EL224 / Lefkada12231EL231 / Etolia and Akarnania12232EL232 / Achaia12233EL233 / Ilia12241EL241 / Viotia12242EL242 / Evia12243EL243 / Evrytania12244EL244 / Fthiotida12245EL245 / Fokida12251EL251 / Argolida12252EL252 / Arkadia12253EL253 / Korinthia12254EL254 / Lakonia12255EL255 / Messinia12300EL300 / Attiki12411EL411 / Lesvos12412EL412 / Samos12413EL413 / Chios12421EL421 / Dodekanissos12422EL422 / Kyklades12431EL431 / Iraklio12432EL432 / Lassithi12433EL433 / Rethymno12434EL434 / Chania14011IE011 / Border14012IE012 / Midlands14013IE013 / West14021IE021 / Dublin14022IE022 / Mid-East14023IE023 / Mid-West14024IE024 / South-East14025IE025 / South-West11111PT111 / Minho-Lima11112PT112 / Cávado11113PT113 / Ave11114PT114 / Grande Porto11115PT115 / Tâmega11116PT116 / Entre Douro e Vouga11117PT117 / Douro11118PT118 / Alto Trás-os-Montes15150PT150 / Algarve16161PT161 / Baixo Vouga16162PT162 / Baixo Mondego16163PT163 / Pinhal Litoral16164PT164 / Pinhal Interior Norte16165PT165 / Dão-Lafões16166PT166 / Pinhal Interior Sul16167PT167 / Serra da Estrela16168PT168 / Beira Interior Norte16169PT169 / Beira Interior Sul17171PT171 / Grande Lisboa17172PT172 / Península de Setúbal18181PT181 / Alentejo Litoral18182PT182 / Alto Alentejo18183PT183 / Alentejo Central18184PT184 / Baixo Alentejo18185PT185 / Lezíria do Tejo16170PT16A / Cova da Beira16171PT16B / Oeste16172PT16C / Médio Tejo20200PT200 / Região Autónoma dos Açores30300PT300 / Região Autónoma da Madeira23111RO111 / Bihor23112RO112 / Bistrita Nasaud23113RO113 / Cluj23114RO114 / Maramures23115RO115 / Satu Mare23116RO116 / Salaj23121RO121 / Alba23122RO122 / Brasov23123RO123 / Covasna23124RO124 / Harghita23125RO125 / Mures23126RO126 / Sibiu23211RO211 / Bacau23212RO212 / Botosani23213RO213 / Iasi23214RO214 / Neamt23215RO215 / Suceava23216RO216 / Vaslui23221RO221 / Braila23222RO222 / Buzau23223RO223 / Constanta23224RO224 / Galati23225RO225 / Tulcea23226RO226 / Vrancea23311RO311 / Arges23312RO312 / Calarasi23313RO313 / Dimbovita23314RO314 / Giurgiu23315RO315 / Ialomita23316RO316 / Prahova23317RO317 / Teleorman23321RO321 / Bucuresti23322RO322 / Ilfov23411RO411 / Dolj23412RO412 / Gorj23413RO413 / Mehedinti23414RO414 / Olt23415RO415 / Valcea23421RO421 / Arad23422RO422 / Caras Severin23423RO423 / Hunedoara23424RO424 / Timis25011SI011 / Pomurska25012SI012 / Podravska25013SI013 / Koroska25014SI014 / Savinjska25015SI015 / Zasavska25016SI016 / Spodnjeposavska25017SI017 / Jugovzhodna Slovenija25018SI018 / Notranjsko-kraska25021SI021 / Osrednjeslovenska25022SI022 / Gorenjska25023SI023 / Goriska25024SI024 / Obalno-kraska34011CH011 / Vaud34012CH012 / Valais34013CH013 / Geneva34021CH021 / Bern34022CH022 / Freiburg34023CH023 / Solothurn34024CH024 / Neuchatel34025CH025 / Jura34031CH031 / Basel-Stadt34032CH032 / Basel-Landschaft34033CH033 / Aargau34040CH040 / Zurich34051CH051 / Glarus34052CH052 / Schaffhausen34053CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden34055CH055 / St. Gallen34056CH056 / Graubunden34057CH057 / Thurgau34061CH061 / Luzern34062CH062 / Uri34063CH063 / Schwyz34064CH064 / Obwalden34065CH065 / Nidwalden34066CH066 / Zug34070CH070 / Ticino39100TR100 / Istanbul39211TR211 / Tekirdag39212TR212 / Edirne39213TR213 / Kirklareli39221TR221 / Balikesir39222TR222 / Çanakkale39310TR310 / Izmir39321TR321 / Aydin39322TR322 / Denizli39323TR323 / Mugla39331TR331 / Manisa39332TR332 / Afyon39333TR333 / Kütahya39334TR334 / Usak39411TR411 / Bursa39412TR412 / Eskisehir39413TR413 / Bilecik39421TR421 / Kocaeli39422TR422 / Sakarya39423TR423 / Düzce39424TR424 / Bolu39425TR425 / Yalova39510TR510 / Ankara39521TR521 / Konya39522TR522 / Karaman39611TR611 / Antalya39612TR612 / Isparta39613TR613 / Burdur39621TR621 / Adana39622TR622 / Içel (Mersin)39631TR631 / Hatay39632TR632 / Kahramanmaras39633TR633 / Osmaniye39711TR711 / Kirikkale39712TR712 / Aksaray39713TR713 / Nigde39714TR714 / Nevsehir39715TR715 / Kirsehir39721TR721 / Kayseri39722TR722 / Sivas39723TR723 / Yozgat39811TR811 / Zonguldak39812TR812 / Karabük39813TR813 / Bartin39821TR821 / Kastamonu39822TR822 / Çankiri39823TR823 / Sinop39831TR831 / Samsun39832TR832 / Tokat39833TR833 / Çorum39834TR834 / Amasya39901TR901 / Trabzon39902TR902 / Ordu39903TR903 / Giresun39904TR904 / Rize39905TR905 / Artvin39906TR906 / Gümüshane39910TRA11 / Erzurum39911TRA12 / Erzincan39912TRA13 / Bayburt39921TRA21 / Agri39922TRA22 / Kars39923TRA23 / Igdir39924TRA24 / Ardahan39931TRB11 / Malatya39932TRB12 / Elazig39933TRB13 / Bingöl39934TRB14 / Tunceli39941TRB21 / Van39942TRB22 / Mus39943TRB23 / Bitlis39944TRB24 / Hakkari39951TRC11 / Gaziantep39952TRC12 / Adiyaman39953TRC13 / Kilis39961TRC21 / Sanliurfa39962TRC22 / Diyarbakir39971TRC31 / Mardin39972TRC32 / Batman39973TRC33 / Sirnak39974TRC34 / Siirt99998Response suppressed99999UnknownNativity and Birthplace Variables -- PERSONLiteracyLIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational attainment, international recode [general version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational attainment, international recode [detailed version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- PERSONEducational attainment, SpainEDUCES indicates the person's educational attainment in Spain in terms of the level of schooling completed.000NIU (not in universe)100None200Basic (primary) education201Less than 5-year primary approved202Grades 1-5 approved203Grades 1-8 approved300Middle (secondary) education310Higher level secondary (grades 9-12)320Basic formation (years 1-2)400Post-secondary410Higher formation (years 3-5)421Some technical higher education422Technical higher education completed431Some undergraduate college (and graduate education 1981)432Undergraduate college graduate (and graduate education 1981)440Non-university higher education degrees450Post-graduate studies460Master degree or equivalent470Doctoral studies999UnknownEducation Variables -- PERSONEducational attainment, EuropeEEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities.
EEDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EEDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country.
Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL.
EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples.00NIU (not in universe)10Less than primary20Primary (first stage of basic education)30Lower secondary (second stage of basic education)40Upper secondary50Post-secondary non-tertiary education60University completed99Unknown/missingEducation Variables -- PERSONAge when completed educationEDAGE indicates the age at which the respondent stopped regularly attending a scholarly institution, including professional and technical establishments.099 years or younger1010 years1111 years1212 years1313 years1414 years1515 years1616 years1717 years1818 years1919 years2020 years2121 years2222 years2323 years2424 years2525 years2626 years2727 years2828 years2929 years3030 or older98Unknown99NIU (not in universe)Education 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 -- PERSONOccupation, ISCO generalOCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.01Legislators, senior officials and managers02Professionals03Technicians and associate professionals04Clerks05Service workers and shop and market sales06Skilled agricultural and fishery workers07Crafts and related trades workers08Plant and machine operators and assemblers09Elementary occupations10Armed forces11Other occupations, unspecified or n.e.c.97Response suppressed98Unknown99NIU (not in universe)Work Variables -- PERSONOccupation, unrecodedOCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit]
Argentina 1980 - see Variable: AR1980A_OCC - Occupation
Argentina 1991 - see Variable: AR1991A_OCC - Occupation
Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits)
Armenia 2011 - see Variable: AM2011A_OCC - Occupation
Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups
Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups
Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups
Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups
Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits
Belarus 2009 - see Variable: BY2009A_OCC - Occupation
Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits)
Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits)
Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits)
Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit)
Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits
Bolivia 1992 - see Variable: BO1992A_OCC - Occupation
Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits
Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit)
Botswana 1981 - see Variable: BW1981A_OCC - Occupation
Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days)
Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit
Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits
Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation
Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation
Brazil 1980 - see Variable: BR1980A_OCC - Occupation
Brazil 1991 - see Variable: BR1991A_OCC - Occupation
Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits
Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010
Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation
Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation
Cambodia 1998 - see Variable: KH1998A_OCC - Occupation
Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits)
Cambodia 2008 - see Variable: KH2008A_OCC - Occupation
Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits)
Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit
Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits)
Cameroon 2005 - see Variable: CM2005A_OCC - Occupation
Canada 1971 - see Variable: CA1971A_OCC - Occupation
Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis)
Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis)
Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics)
Canada 2011 - see Variable: CA2011A_OCC - Occupation
Chile 1960 - see Variable: CL1960A_OCC - Occupation
Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit)
Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit)
Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit)
Chile 2002 - see Variable: CL2002A_OCC - Occupation
China 1982 - see Variable: CN1982A_OCC - Occupation
China 1990 - see Variable: CN1990A_OCC - Occupation
China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit)
Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits)
Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week
Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits
Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits
Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits
Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit
Cuba 2002 - see Variable: CU2002A_OCC - Occupation
Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit)
Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation
Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation
Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation
Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation
Ecuador 1962 - see Variable: EC1962A_OCC - Occupation
Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits
Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits
Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits
Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits
Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08)
Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit)
Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit
El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit)
El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit)
Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit)
Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation
Fiji 1976 - see Variable: FJ1976A_OCC - Occupation
Fiji 1986 - see Variable: FJ1986A_OCC - Occupation
Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits)
Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits
Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits)
Finland 2010 - see Variable: FI2010A_OCC - Occupation
France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation
France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation
France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation
France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation
France 1990 - see Variable: FR1990A_SOCC - Saphir occupation
France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO
France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit)
France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories
Germany 1970 - see Variable: DE1970A_OCC - Occupation
Germany 1981 - see Variable: DE1981A_OCC - Occupation
Germany 1987 - see Variable: DE1987A_OCC - Occupation
Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits
Ghana 2000 - see Variable: GH2000A_OCC - Occupation
Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups)
Greece 1971 - see Variable: GR1971A_OCC - Occupation
Greece 1981 - see Variable: GR1981A_OCC - Occupation
Greece 1991 - see Variable: GR1991A_OCC - Occupation
Greece 2001 - see Variable: GR2001A_OCC - Occupation
Greece 2011 - see Variable: GR2011A_OCC - Occupation
Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits)
Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits)
Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits)
Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit)
Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits)
Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits
Guinea 1996 - see Variable: GN1996A_OCC - Occupation
Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit)
Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession
Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits
Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits)
Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits)
Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits)
Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit)
Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit)
Hungary 1970 - see Variable: HU1970A_OCC - Occupation
Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity
Hungary 1990 - see Variable: HU1990A_OCC - Occupation
Hungary 2001 - see Variable: HU2001A_OCC - Occupation
Hungary 2011 - see Variable: HU2011A_OCC - Occupation
Indonesia 1971 - see Variable: ID1971A_OCC - Occupation
Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week
Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version)
Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation
Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week
Indonesia 1995 - see Variable: ID1995A_OCC - Occupation
Indonesia 2005 - see Variable: ID2005A_OCC - Occupation
Iran 2006 - see Variable: IR2006A_OCC4 - Occupation
Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit)
Iraq 1997 - see Variable: IQ1997A_OCC - Occupation
Ireland 1971 - see Variable: IE1971A_OCC - Occupation
Ireland 1981 - see Variable: IE1981A_OCC - Occupation
Ireland 1986 - see Variable: IE1986A_OCC - Occupation group
Ireland 1991 - see Variable: IE1991A_OCC - Occupation group
Ireland 1996 - see Variable: IE1996A_OCC - Occupation
Ireland 2002 - see Variable: IE2002A_OCC - Occupation
Ireland 2006 - see Variable: IE2006A_OCC - Occupation group
Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled)
Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups)
Israel 1972 - see Variable: IL1972A_OCC - Occupation
Israel 1983 - see Variable: IL1983A_OCC - Occupation
Israel 1995 - see Variable: IL1995A_OCC - Occupation
Israel 2008 - see Variable: IL2008A_OCC - Occupation
Italy 2001 - see Variable: IT2001A_OCC - Occupation
Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work
Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job
Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job
Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit
Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit)
Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits
Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit)
Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity
Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit)
Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits)
Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits)
Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit)
Liberia 2008 - see Variable: LR2008A_OCC - Occupation
Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit
Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit
Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits)
Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit)
Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week
Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits)
Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits
Mali 1987 - see Variable: ML1987A_OCC - Occupation last month
Mali 1998 - see Variable: ML1998A_OCC - Main occupation
Mali 2009 - see Variable: ML2009A_OCC - Principal occupation
Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit)
Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit)
Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit)
Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits
Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit
Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits
Mexico 1995 - see Variable: MX1995A_OCC - Occupation
Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits
Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade
Mexico 2015 - see Variable: MX2015A_OCC - Occupation
Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits)
Mongolia 2000 - see Variable: MN2000A_OCC - Occupation
Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008)
Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit)
Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit)
Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit
Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit)
Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit)
Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit
Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation
Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008)
Myanmar 2014 - see Variable: MM2014A_OCC - Occupation
Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation
Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit)
Netherlands 1960 - see Variable: NL1960A_OCC - Occupation
Netherlands 1971 - see Variable: NL1971A_OCC - Occupation
Netherlands 2001 - see Variable: NL2001A_OCC - Occupation
Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit)
Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation
Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits)
Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation
Palestine 1997 - see Variable: PS1997A_OCC - Main occupation
Palestine 2007 - see Variable: PS2007A_OCC - Main occupation
Palestine 2017 - see Variable: PS2017A_OCC - Occupation
Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit)
Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit
Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit)
Panama 1990 - see Variable: PA1990A_OCC - Occupation
Panama 2000 - see Variable: PA2000A_OCC - Occupation
Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits
Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits
Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation
Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit)
Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit)
Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits)
Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits
Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits
Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits)
Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits)
Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits)
Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week)
Philippines 1990 - see Variable: PH1990A_OCC - Occupation
Philippines 2000 - see Variable: PH2000A_OCC - Occupation
Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit)
Poland 1978 - see Variable: PL1978A_OCC - Occupation
Poland 1988 - see Variable: PL1988A_OCC - Main occupation
Poland 2002 - see Variable: PL2002A_OCC - Occupation
Portugal 1981 - see Variable: PT1981A_OCC - Main occupation
Portugal 1991 - see Variable: PT1991A_OCC - Main occupation
Portugal 2001 - see Variable: PT2001A_OCC - Main occupation
Portugal 2011 - see Variable: PT2011A_OCC - Main occupation
Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation
Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation
Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation
Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation
Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation
Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation
Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week
Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis
Romania 1992 - see Variable: RO1992A_OCC - Occupation
Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits
Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded)
Rwanda 2002 - see Variable: RW2002A_OCC - Occupation
Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation
Senegal 1988 - see Variable: SN1988A_OCC - Occupation
Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits
Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation
Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months
Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit)
Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit)
Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit)
Slovenia 2002 - see Variable: SI2002A_OCC - Occupation
South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits
South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit
South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits
South Sudan 2008 - see Variable: SS2008A_OCC - Occupation
Spain 1981 - see Variable: ES1981A_OCC - Occupation
Spain 1991 - see Variable: ES1991A_OCC - Occupation
Spain 2001 - see Variable: ES2001A_OCC - Occupation
Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits
Sudan 2008 - see Variable: SD2008A_OCC - Occupation
Suriname 2004 - see Variable: SR2004A_OCC - Occupation
Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups)
Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO)
Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM)
Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08)
Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation
Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week
Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation
Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year
Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year
Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year
Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits
Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits)
Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits)
Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits)
Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits)
Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit)
Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits)
Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit
Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits
Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits
Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits)
United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation
United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation
United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification
United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor
United States 1960 - see Variable: US1960A_OCC - Occupation
United States 1970 - see Variable: US1970A_OCC - Occupation
United States 1980 - see Variable: US1980A_OCC - Occupation
United States 1990 - see Variable: US1990A_OCC - Occupation
United States 2000 - see Variable: US2000A_OCC - Occupation
United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment
United States 2010 - see Variable: US2010A_OCC - Occupation
United States 2015 - see Variable: US2015A_OCC - Occupation last week
United States 2020 - see Variable: US2020A_OCC - Occupation last week
Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit]
Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits)
Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week
Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits)
Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits)
Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits
Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits
Venezuela 2001 - see Variable: VE2001A_OCC - Occupation
Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits
Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit
Vietnam 2009 - see Variable: VN2009A_OCC - Occupation
Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit
Zambia 1990 - see Variable: ZM1990A_OCC - Occupation
Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits
Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits
Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits)
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 -- PERSONType of work contract (indefinite or fixed term)WRKCONTRCT refers to the person's type of work contract, whether it is indefinite (permanent) or fixed-term (temporary).10Indefinite20Fixed-term21Test or trial period22Training or apprenticeship23Specific project or task24Seasonal or as needed (casual)25Covering the absence of another worker26Other or unspecified fixed-term contract97No written contract98Unknown99NIU (not in universe)Work Variables -- PERSONHas a secondary or additional jobsWRKADD indicates whether the respondent has more than one job.1No, only 1 job2Yes, has 2+ jobs8Unknown9NIU (not in universe)Work Variables -- PERSONTenure in current job (months)WRKTENURE indicates the length of time (in months) workers have been in their current job or with their current employer.WRKTENURE is a 3-digit numeric variable.
Codes480 = 480+ months
998 = Unknown
999 = NIU (not in universe)Work Variables -- PERSONFull-time or part-time workHRSFULL indicates whether the respondent worked full-time or part-time.0NIU (not in universe)1Part-time2Full-time9UnknownWork Variables -- PERSONHours worked per weekHRSWORK1 indicates the number of hours the respondent worked per week at all jobs.0000 hours0011 hour0022 hours0033 hours0044 hours0055 hours0066 hours0077 hours0088 hours0099 hours01010 hours01111 hours01212 hours01313 hours01414 hours01515 hours01616 hours01717 hours01818 hours01919 hours02020 hours02121 hours02222 hours02323 hours02424 hours02525 hours02626 hours02727 hours02828 hours02929 hours03030 hours03131 hours03232 hours03333 hours03434 hours03535 hours03636 hours03737 hours03838 hours03939 hours04040 hours04141 hours04242 hours04343 hours04444 hours04545 hours04646 hours04747 hours04848 hours04949 hours05050 hours05151 hours05252 hours05353 hours05454 hours05555 hours05656 hours05757 hours05858 hours05959 hours06060 hours06161 hours06262 hours06363 hours06464 hours06565 hours06666 hours06767 hours06868 hours06969 hours07070 hours07171 hours07272 hours07373 hours07474 hours07575 hours07676 hours07777 hours07878 hours07979 hours08080 hours08181 hours08282 hours08383 hours08484 hours08585 hours08686 hours08787 hours08888 hours08989 hours09090 hours09191 hours09292 hours09393 hours09494 hours09595 hours09696 hours09797 hours09898 hours09999 hours100100 hours101101 hours102102 hours103103 hours104104 hours105105 hours106106 hours107107 hours108108 hours109109 hours110110 hours111111 hours112112 hours113113 hours114114 hours115115 hours116116 hours117117 hours118118 hours119119 hours120120 hours121121 hours122122 hours123123 hours124124 hours125125 hours126126 hours127127 hours128128 hours129129 hours130130 hours131131 hours132132 hours133133 hours134134 hours135135 hours136136 hours137137 hours138138 hours139139 hours140140+ hours998Unknown999NIU (not in universe)Work Variables -- PERSONHours worked per week, categorizedHRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals.0None11 to 14 hours (except tt1980, tt1990 and tt2000)215 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971)330 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971)440-48 hours (except il1972, tt1980, tt1990, and tt2000)549 hours or more (except il1972 and tt2000)8Unknown9NIU (not in universe)Work Variables -- PERSONUsual hours worked per weekHRSUSUAL1 indicates the usual number of hours the respondent works in a typical week across all jobs or in their main job.0000 hours0011 hour0022 hours0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140+ hours997Inconsistent or irregular work schedule998Unknown999NIU (Not in universe)Work Variables -- PERSONUsual hours worked per week, categorizedHRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals.0None11 to 14 hours (except ca1971)215 to 29 hours (except de1970, ca1971)330 to 39 hours (except de1970)440-48 hours (except il1972-1995, ca1971, pt1991-2011)549 hours or more (except il1972 and ca1971)7Inconsistent or irregular work schedule8Unknown9NIU (not in universe)Work Variables -- PERSONActual hours worked per weekHRSACTUAL1 indicates the actual number of hours the respondent worked per week at all jobs.0000 hours0011 hour0022 hours0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140+ hours998Unknown999NIU (not in universe)Work Variables -- PERSONActual hours worked per week, categorizedHRSACTUAL2 indicates the actual number of hours the respondent worked per week at all jobs, categorized into intervals.0None11 to 14 hours (except tt1980, tt1990, and tt2000)215 to 29 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971)330 to 39 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971)440 to 48 hours (except tt1980, tt1990, and tt2000)549 hours or more (except tt2000)8Unknown9NIU (not in universe)Work Variables -- PERSONHours worked outside of main occupationHRSADD indicates the number of hours the respondent typically worked per week in jobs unrelated to their primary occupation. Time spent outside of the workplace in work-related tasks was to be included; time set aside for meals was to be excluded.
Comparable information for the person's primary occupation can be found in the variable HRSMAIN.00No hours011 hour022 hours033 hours04405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919292939394949595+ hours98Unknown99NIU (not in universe)Work Variables -- PERSONWould like to work more hoursWRKMORE indicates whether the respondent wanted to work additional hours.1Yes, would like to work more hours2No, the same or less hours8Unknown9NIU (Not in universe)Work Variables -- PERSONAvailable to workWRKAVAIL indicates whether a person is available to work (readiness) within a short period of time.1Yes2No8Unknown9NIU (Not in universe)Work Variables -- PERSONPeriod seeking workLOOKJOB indicates the continuous period of time that an unemployed person has been seeking work.00NIU (not in universe)10Seeking work less than one year11Seeking work less than 1 month12Seeking work less than 3 months13Seeking work 1 to less than 3 months14Seeking work 1 to 6 months15Seeking work 3 to 12 months16Seeking work 3 to less than 6 months17Seeking work 6 to 12 months20Seeking work more than 1 year21Seeking work more than 1 and up to 2 years22Seeking work more than 2 years90Seeking work, unspecified period99UnknownWork 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 -- PERSONCountry of residence 1 year agoMIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior are coded to the "non-migrant" category.00000NIU (not in universe)10000Africa11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, n.s.13000Northern Africa13010Algeria13020Egypt/United Arab Rep.13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, n.s.15000Western Africa15010Benin15020Burkina Faso15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15199Western African, n.s.19990Africa, n.s.19991Central and South Africa20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. Jon21220St. Lucia21230St. Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21999Caribbean, n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23990South America, n.s.23991Central and South America24000North America24010Bermuda24020Canada24030Greenland24040United States24041U.S. Outlying Areas and Territories24999North America, n.s.29990Americas, other and n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33199Other South-Eastern Asia34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34160Turkey34170United Arab Emirates34180Yemen34990Western Asia, n.s.34991Middle East, n.e.c.39999Asia, n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41030Czech Republic41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41999Eastern Europe, n.e.c.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42110Sweden42120United Kingdom42999Northern Europe, n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43144Kosovo43999Southern Europe, n.s.44000Western Europe44010Austria44020Belgium44030France44040Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44999Western Europe, n.e.c.49990Europe, n.s.49991Central-Eastern Europe49992European Union49993European Union (original 15)49994Other European Union (not original 15)50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, n.e.c.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Samoa54060Tokelau54070Tonga54080Tuvalu54090Wallis and Futuna Isls.59999Oceania, n.s.60000Other90000Non-migrant (international)99998Response suppressed99999UnknownMigration: 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 -- PERSONCommunities and Autonomous Cities of residence 1 year ago, Spain; consistent boundaries, GISMIG1_1_ES indicates the person's community or autonomous city of residence one year ago within Spain.
Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.724011Galicia724012Principado de Asturias724013Cantabria724021País Vasco724022Comunidad Foral de Navarra724023La Rioja724024Aragón724030Comunidad de Madrid724041Castilla y León724042Castilla-La Mancha724043Extremadura724051Cataluña724052Comunidad Valenciana724053Islas Baleares724061Andalucía724062Región de Murcia724063Ciudad Autónoma de Ceuta724064Ciudad Autónoma de Melilla724070Canarias724097Foreign country724999NIU (not in universe)Migration: O-Z Variables -- PERSONProvince of residence 1 year ago, Spain; consistent boundaries, GISMIG2_1_ES indicates the person's province of residence one year ago within Spain.724011015A Coruña724011027Lugo724011032Ourense724011036Pontevedra724012033Asturias724013039Cantabria724021001Álava724021020Guipúzcoa724021048Vizcaya724022031Navarra724023026La Rioja724024022Huesca724024044Teruel724024050Zaragoza724030028Madrid724041005Ávila724041009Burgos724041024León724041034Palencia724041037Salamanca724041040Segovia724041042Soria724041047Valladolid724041049Zamora724042002Albacete724042013Ciudad Real724042016Cuenca724042019Guadalajara724042045Toledo724043006Badajoz724043010Cáceres724051008Barcelona724051017Girona724051025Lleida724051043Tarragona724052003Alicante/Alacant724052012Castellón/Castelló724052046Valencia/València724053007Islas Baleares724061004Almería724061011Cádiz724061014Córdoba724061018Granada724061021Huelva724061023Jaén724061029Málaga724061041Sevilla724062030Murcia724063051Ceuta724064052Melilla724070035Las Palmas724070038Santa Cruz de Tenerife724097097Abroad724099099NIU (not in universe)Migration: O-Z Variables -- PERSONEmployment disabilityDISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons.1Disabled2Not disabled8Unknown9NIU (not in universe)Disability Variables -- PERSONLevel of the recordNumber of people residing at the property</p>
<div class="i1">Under 16 years ____<br />_ _ MEN16<br />16 years or older ____<br />_ _ MAY16</div>Spain 2011 Q2 LFS: All personsThis variable indicates the age group (under or over 16 years old).116 years old person or older2Under 16 years of ageTechnical Person Variables -- PERSONSequence number of person1. Personal Identification Number: ____ NPERSSpain 2011 Q2 LFS: All personsThis variable indicates the sequence number of the person.0110220330440550660770880991010111112121313141415151616Technical Person Variables -- PERSONAge, 5 year groups<div class="i2">Age (years completed) _ _ _ EDAD1/EDAD2</div>Spain 2011 Q2 LFS: All personsThis variable indicates the person's age in 5-year groups.000 to 4 years old 055 to 9 years old 1010 to 15 years old 1616 to 19 years old 2020 to 24 years old 2525 to 29 years old 3030 to 34 years old 3535 to 39 years old 4040 to 44 years old 4545 to 49 years old 5050 to 54 years old 5555 to 59 years old 6060 to 64 years old 6565 years old and older Demographic Variables -- PERSONRelationship to reference personWhat is your relationship with the person listed? (see table 1) ____ RELPP1/RELPP2
<br />_</p>
<div class="i1">Table 1. Relationship to the reference person<br />1. Person of reference (PR)<br />2. Spouse or common-law partner of the PR<br />3. Son/daughter, step child to (the PR or partner thereof)<br />4. Son-in-law, daughter-in-law (or couple's child, stepchild)<br />5. Grandchild, grandchild-in-law (or common-law partner thereof)<br />6. Father, mother, father-in-law, mother-in-law (or partner thereof)<br />7. Other relative to the PR (or partner thereof)<br />8. Domestic service worker<br />9. No kinship to the PR</div>Spain 2011 Q2 LFS: All personsThis variable indicates the person's relationship to the reference person.1Reference person2Spouse or common-law partner3Child, stepchild (of ref person or partner)4Child-in-law5Grandchild, grandchild in law (or common-law partner thereof)6Parent, parent-in-law (or partner thereof)7Other relative (of ref person or partner)8Domestic service worker 9UnrelatedDemographic Variables -- PERSONSex<div class="i2">Sex (V = male, M = female) SEXO1, SEXO2</div><div class="i3">[] 1 V<br />[] 6 M</div>Spain 2011 Q2 LFS: All personsThis variable indicates the person's sex.1Male6FemaleDemographic Variables -- PERSONSequence number of spouse or partner4. From the people listed above, is one of them your (Use the code 00 when he/she does not reside in the house):</p>
<div class="i1">spouse or partner? If so, tell me his her name: ____ NCONY<br />father? If so, tell me his name: ____ NPADRE<br />mother? If so, tell me her name: ____ NMADRE</div>Spain 2011 Q2 LFS: All personsThis variable indicates the sequence number of the person's spouse or partner.00Not present011022033044055066077088099101011111515Constructed Family Interrelationship Variables -- PERSONSequence number of father4. From the people listed above, is one of them your (Use the code 00 when he/she does not reside in the house):</p>
<div class="i1">spouse or partner? If so, tell me his her name: ____ NCONY<br />father? If so, tell me his name: ____ NPADRE<br />mother? If so, tell me her name: ____ NMADRE</div>Spain 2011 Q2 LFS: All personsThis variable indicates the sequence number of the person's father.00Not present01102203304405506607708809910101515Constructed Family Interrelationship Variables -- PERSONSequence number of mother4. From the people listed above, is one of them your (Use the code 00 when he/she does not reside in the house):</p>
<div class="i1">spouse or partner? If so, tell me his her name: ____ NCONY<br />father? If so, tell me his name: ____ NPADRE<br />mother? If so, tell me her name: ____ NMADRE</div>Spain 2011 Q2 LFS: All personsThis variable indicates the sequence number of the person's mother.00Not present011022033044055066077088099101011111414Constructed Family Interrelationship Variables -- PERSONLegal marital status5. What is your marital status? ECIV1</p>
<div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widower<br />[] 4 Separated or divorced<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates the person's legal marital status.1Single2Married3Widower4Separated or divorced9NIU (not in universe)Demographic Variables -- PERSONProvince of birth6. What is your place of birth? (Interviewer: If he/she was born in Spain, ask in which province. If he/she does not know, enter 00. If he/she was born abroad, ask in what country or dependent territory. If he/she does not know, enter 000. If he/she does not know if he/she resided in Spain or abroad, enter 99 in province.)</p>
<div class="i1">If in Spain, note the province: ____ PRONA1<br />If abroad, note the country or dependent territory: ____ PAINA1</div>Spain 2011 Q2 LFS: Persons born in SpainThis variable indicates the province of birth for people who were born in Spain.01Araba 02Albacete 03Alicante04Almeria05Avila06Badajoz 07Balearic Islands08Barcelona 09Burgos 10Caceres11Cadiz12Castellon 13Ciudad Real 14Cordoba15Coru 16Cuenca 17Girona 18Granada 19Guadalajara 20Gipuzkoa 21Huelva 22Huesca 23Jaen24Leon25Lleida 26Rioja, La 27Lugo 28Madrid 29Malaga30Murcia 31Navarre32Ourense 33Asturias 34Palencia 35Palmas, Las 36Pontevedra 37Salamanca 38Santa Cruz de Tenerife 39Cantabria 40Segovia 41Seville42Soria 43Tarragona 44Teruel 45Toledo 46Valencia47Valladolid 48Biscay49Zamora 50Zaragoza 51Ceuta 52Melilla 99NIU (not in universe)Nativity and Birthplace Variables -- PERSONForeign region of birth6. What is your place of birth? (Interviewer: If he/she was born in Spain, ask in which province. If he/she does not know, enter 00. If he/she was born abroad, ask in what country or dependent territory. If he/she does not know, enter 000. If he/she does not know if he/she resided in Spain or abroad, enter 99 in province.)</p>
<div class="i1">If in Spain, note the province: ____ PRONA1<br />If abroad, note the country or dependent territory: ____ PAINA1</div>Spain 2011 Q2 LFS: Persons born abroadThis variable indicates the region of birth for people who were born abroad.100Other Europe115EU-15 countries125EU-25 countries (not EU-15)127EU-27 countries (not EU-25)128EU-28 countries (not EU-27)200Africa300North America310Central America350South America400East Asia410West Asia420South and Southeast Asia500Oceania999NIU (not in universe)Nativity and Birthplace Variables -- PERSONNationalityWhat is your nationality? NAC1/NAC2</p>
<div class="i1">[] 1 Spanish<br />[] 2 Spanish and other<br />[] 3 Foreign</div>Spain 2011 Q2 LFS: All personsThis variable indicates whether the person is a Spanish national.1Spanish2Spanish and dual nationality3ForeignNativity and Birthplace Variables -- PERSONRegion of nationality7. You have told us previously you have a foreign nationality. From which country? (If he/she does not know, enter 000.) ____ EXTNA1Spain 2011 Q2 LFS: Persons with foreign or dual nationalityThis variable indicates the person's region of nationality if the person is a dual or foreign national.100Other Europe115EU-15 countries125EU-25 countries (not EU-15)127EU-27 countries (not EU-25)128EU-28 countries (not EU-27)200Africa300North America310Central America350South America400East Asia410West Asia420South and Southeast Asia500Oceania998Stateless999NIU (not in universe)Nativity and Birthplace Variables -- PERSONYears of residence in Spain<div class="i1">What year did you arrive in Spain? (If it is the previous or the current year, indicate the month)</div><div class="i2">Year _ _ _ _ ANOLLE<br />If it is the previous or current year:<br />Month _ _ MESLLE</div>Spain 2011 Q2 LFS: Persons with foreign or dual nationalityThis variable indicates the number of years of residence in Spain for people with foreign or dual nationality.00Less than 1 year01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919393969699NIU (not in universe)Nativity and Birthplace Variables -- PERSONEducational level8. What is the highest level of education you have completed? In what area did you specialize? (Interviewer: If the interviewee's response is not related to a degree, you must obtain more information to discover the level of study actually completed. If he/she does not know, enter 00 in level and/or 00 in specialty.) </p>
<div class="i1">Highest education level: ____<br />_ _ NFORM<br />*Specialty: ____<br />_ _ _SECTO1</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates the person's educational level.1Illiterate2Incomplete primary3Primary4First stage of secondary5Second stage of secondary, general6Second stage of secondary, vocational7Higher education9NIU (not in universe)Education Variables -- PERSONAge reached highest level of education10. [If F9 = 1]
<br />What year did you learn to read and write? (If the year is not the same for both, note the most recent)
<br />[If F9 != 1]
<br />What year did you complete your highest level of studies? (If he/she does not know, note 0000)</p>
<div class="i1">Year: _ _ _ _ FESTUD</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates the age at which the person reached their highest level of education.00Not known077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858599NIU (not in universe)Education Variables -- PERSONPursued regulated studies during last four weeks1. Have you carried out any official studies or training during the last four weeks? CURSR</p>
<div class="i1">[] 1 Yes<br />[] 2 Student on vacation<br />[] 3 No [Go to 3]<br />[] 0 Unknown [Go to 3]</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates whether the person pursued official studies or training during the last four weeks.1Yes 2Student on vacation3No9NIU (not in universe)Education Variables -- PERSONLevel of regulated studies pursued2. What is the level of education and the area of specialization of these studies? (If he/she does not know, enter 00 in level and/or 00 in specialty) </p>
<div class="i1">Education level: ____<br />_ _ NCURSR <br />*Specialty: ____<br />_ _ _ SECT21</div>Spain 2011 Q2 LFS: Persons age 16+ with regulated studies in last four weeksThis variable indicates the level of official studies or training pursued in the last four weeks.1Primary2First stage of secondary3Second stage of secondary, general4Second stage of secondary, vocational5Higher education9NIU (not in universe)Education Variables -- PERSONPursued non-regulated course during last four weeks3. Have you carried out any unofficial studies or training during the last four weeks? (Including: courses taught by academies, courses in the workplace, courses for the unemployed, seminars, conferences, private lessons, etc.) _ CURSNR</p>
<div class="i1">[] 1 Yes<br />[] 2 Student on vacation<br />[] 3 No [Go to text before 8]<br />[] 0 Unknown [Go to text before 8]</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates whether the person pursued any unofficial studies or training during the last four weeks.1Yes2Student on vacation3No9NIU (not in universe)Education Variables -- PERSONLevel of education of non-regulated training5. What is the education level and the area of specialization of the most recent course you have completed? (If he/she does not know, enter 00 level and/or 00 in specialty)</p>
<div class="i1">Education level: ____<br />_ _ NCURNR<br />*Specialty: ____<br />_ _ _ SECT22</div>Spain 2011 Q2 LFS: Persons age 16+ with some non-regulated course in last four weeksThis variable indicates the level of education of the person's unofficial studies or training.1Non-formal education programs from the education system and preparation for access tests2Vocational training for employment programs not conducive to certificates of professionalism3Other programmes aimed at personal and professional training9NIU (not in universe)Education Variables -- PERSONTotal hours of non-regulated studies in last four weeks4. How many total hours did you spend on unofficial studies during the last four weeks? (If he/she does not know, enter 999)</p>
<div class="i1">Number: ____<br />_ _ _ HCURNR</div>Spain 2011 Q2 LFS: Persons age 16+ with some non-regulated course in last four weeksThis variable indicates total number of hours the person spent on unofficial studies or training in the last four weeks.00000011002200330044005500660077008800990101001111012120131301414015150161601717018180191902020021210222202323024240252502626027270282802929030300313103232033330343403535036360373703838039390404004141042420434304444045450464604848049490505005151052520535305454055550565605858060600626206363064640656506666067670686806969070700727207373075750767607878079790808008181082820848408585086860888808989090900929209595096960979709999100100102102104104105105108108109109110110112112114114115115116116118118119119120120121121125125126126128128129129130130133133135135136136140140142142143143144144145145150150152152155155160160164164168168170170175175180180184184185185188188190190191191192192195195196196200200210210212212216216217217220220224224225225228228230230232232240240250250260260269269270270280280286286288288300300309309320320325325330330336336340340350350359359360360365365388388390390399399400400998Not known999NIU (not in universe)Education Variables -- PERSONPaid work in last week1. During the week in reference, from Monday to Sunday, did you work for at least one hour? TRA</p>
<div class="i1">[] 1 Yes<br />[] 6 No [Go to 3]<br />[] 0 Unknown [Go to 3]</div><p>2. Do you receive compensation or any other economic benefit from your job? REM</p>
<div class="i1">[] 1 Yes [Go to C]<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates whether the person had paid work in the last week.1Yes 6No9NIU (not in universe)Work Variables -- PERSONUnpaid work in family business in last week3. [If B1 = 6 or 0]
<br />During the week in reference, did you work for a company, business or a family member you live with without receiving compensation? AYUDFA</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>[If B2 = 6 or 0]
<br />Was this uncompensated work in an enterprise, business or for a relative you live with? AYUDFA</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ without paid work last weekThis variable indicates whether the person had unpaid work in family business in the last week.1Yes 6No9NIU (not in universe)Work Variables -- PERSONHad a job last week, did not work4. [If B1 = 1]
<br />During the week in reference, did you have a job or business, even if you did not work during that week? AUSENT</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>[If B1 = 6]
<br />Despite not having worked the week in reference, did you have a job or business?</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>[If B1 = 0]
<br />During the week in reference, did you have a job or business?</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ without paid work last weekThis variable indicates whether the person had a job but did not work in the last week.1Yes 6No9NIU (not in universe)Work Variables -- PERSONReason did not work, but had job5. What is the main reason you did not work during the week in reference? (Do not read the options; check the one the interviewee indicates. If he/she gives several reasons, ask him/her to identify the main reason. Only read the options if he/she responds that he/she does not know. If he/she still does not know after the options are read, check "Unknown") RZNOTB</p>
<div class="i1">[] 1 Holidays or days of leave<br />[] 2 Paid leave for the birth of a child<br />[] 3 Unpaid leave for the birth of a child<br />[] 4 Illness, accident or temporary disability<br />[] 5 Flexible or variable work schedule<br />[] 6 Union activities<br />[] 7 Obtained new job but had not yet started work [Go to D]<br />[] 8 Seasonal worker at off-season time [Go to D]<br />[] 9 Poor weather<br />[] 10 Stopped temporarily for technical or economic reasons<br />[] 11 Following employment regulation plan<br />[] 12 Strike or labor dispute<br />[] 13 Receiving education or training outside of work<br />[] 14 Personal reasons or family responsibilities<br />[] 15 Other reasons<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons who did not work last week but were employedThis variable indicates the reason why the person did not work, but had a job.00Don't know01Holidays or days of leave02Leave for the birth of a child03Unpaid leave for the birth of a child04Illness, accident or temporary disability of the respondent05Work day in summer, variable, flexible or similar schedule06Union representation activities07New job in which still had not begun to work08Fixed intermittent or seasonal worker at off-season time 09Bad weather10Slack work for technical or economical reasons11On employment regulation plan12Strike or labour dispute13Having received education or training outside the establishment14Personal reasons or family responsibilities15Other reasons99NIU (not in universe)Work Variables -- PERSONEmployment of absent worker4. [If B1 = 1]
<br />During the week in reference, did you have a job or business, even if you did not work during that week? AUSENT</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>[If B1 = 6]
<br />Despite not having worked the week in reference, did you have a job or business?</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>[If B1 = 0]
<br />During the week in reference, did you have a job or business?</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>[If B3 = 1, go to C. If B4 = 6 or 0, go to D.]</p>
<p>5. What is the main reason you did not work during the week in reference? (Do not read the options; check the one the interviewee indicates. If he/she gives several reasons, ask him/her to identify the main reason. Only read the options if he/she responds that he/she does not know. If he/she still does not know after the options are read, check "Unknown") RZNOTB</p>
<div class="i1">[] 1 Holidays or days of leave<br />[] 2 Paid leave for the birth of a child<br />[] 3 Unpaid leave for the birth of a child<br />[] 4 Illness, accident or temporary disability<br />[] 5 Flexible or variable work schedule<br />[] 6 Union activities<br />[] 7 Obtained new job but had not yet started work [Go to D]<br />[] 8 Seasonal worker at off-season time [Go to D]<br />[] 9 Poor weather<br />[] 10 Stopped temporarily for technical or economic reasons<br />[] 11 Following employment regulation plan<br />[] 12 Strike or labor dispute<br />[] 13 Receiving education or training outside of work<br />[] 14 Personal reasons or family responsibilities<br />[] 15 Other reasons<br />[] 0 Unknown</div><p>6. In your main work, which of the following is your professional role? (I will read the options to you): SITU11</p>
<div class="i1">[] 1 Member of a cooperative [Go to C]<br />[] 2 Business owner with employees [Go to C]<br />[] 3 Self-employed or entrepreneur without employees [Go to C]<br />[] 4 You help a company or family business<br />[] 5 Public sector employee<br />[] 6 Private sector employee<br />[] 7 Other situation (specify: ____)</div><p>7. When are you planning to return to work? Count from the start of your absence. I will read the options to you: REINC</p>
<div class="i1">[] 1 In a period not exceeding 3 months [Go to C]<br />[] 2 In a period exceeding 3 months<br />[] 3 You are unsure when you will return<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons with a job but absent from work last weekThis variable indicates whether the person was employed last week, but was absent from their job.1Worker (for own-accord or self-employed) absent due to holidays or illness2Leave for the birth of a child3Self-employed worker4Family support which will reincorporate maximum in three months5Employees and other workers employed with a strong link with employment6Employees and other workers employed with a weak link with employment or no guarantee of incorporating again7Family aid that will be incorporated into the job after three months 8New job to which you have not incorporated yet or fixed discontinuous in times of low activity9NIU (not in universe)Work Variables -- PERSONHave found employment[If he/she is over 75 years of age and you are not coming from C, go to E]</p>
<p>2. [If D1 = 1, 0]
<br />Have you found a job even though you still haven't started to work? NUEVE1
<br />[If D1 = 6]
<br />Despite not having sought employment, have you found a job even though you have not started to work? NUEVE1</p>
<div class="i1">[] 1 Yes<br />[] 6 No [Go to box before 4]<br />[] 0 Unknown [Go to box before 4]</div><p>3. When are you going to start working at the job you've just secured? (The 3 month period begins from the Sunday of the week of reference.) NUEVE2</p>
<div class="i1">[] 1 Within 3 months (or in 3 months) [Go to 13]<br />[] 6 After 3 months [Go to box before 5]<br />[] 0 Unknown [Go to box before 5]</div>Spain 2011 Q2 LFS: Persons age 16-74 unemployed who did not work last weekThis variable indicates whether the person has found employment after being unemployed during the last week.1Yes, will be incorporated within a period not exceeding three months2Yes, will be incorporated within a period exceeding three months3No9NIU (not in universe)Work Variables -- PERSONMain occupation13. What occupation or type of work do you do? (If the interviewee does not understand this question, you can give some examples, such as: bus driver, construction worker, university professor, etc. If he/she does not know, enter 000.) ____ OCUP
<br />Education level required for your occupation or professional category? ____Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the person's main occupation.00Military occupations01Directors and managers02Technicians and scientific professionals and intellectuals03Technicians and support professionals04Accountancy, administrative and other office employees05Workers of catering services, personal, protection and commerce vendors06Skilled workers in agriculture, livestock, forestry and fishing07Craftsmen and skilled workers of the manufacturing industries and construction (except operators of installations and machinery) 08Operators of installations and machinery, and assemblers09Elementary occupations99NIU (not in universe)Work: Occupation Variables -- PERSONMain industry (activity)14. What is the industry of the establishment where you are employed? (In the case of workers employed by temporary employment agencies, list the job activity where he/she is currently working. If the interviewee does not understand this question, you can give some examples, such as: car manufacturer, restaurant, bank, hairdresser, etc. If he/she does not know, enter 000.) ____ ACTSpain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the main industry or activity of the person's main occupation.00Agriculture, livestock, forestry and fishing01Food, textile, leather, wood and paper industries02Extractive industries, refining, chemicals, pharmaceuticals, rubber and plastics, electricity, gas, water, waste management, metallurgy03Construction machinery, electric equipment and transport equipment, installation and repair04Construction05Wholesale and retail commerce, auto repair, hospitality06Transport and storage, information and communication07Financial intermediation, insurance, real estate, professional services, scientific, administrative and others08Public administration, education and health activities09Other services99NIU (not in universe)Work: Industry Variables -- PERSONOccupational status (main activity)2. Which of the following is your professional role? (I will read the options to you): SITU12</p>
<div class="i1">[] 1 Member of a cooperative [Go to 12]<br />[] 2 Business owner with employees [Go to 12]<br />[] 3 Self-employed or entrepreneur without employees [Go to 12]<br />[] 4 You help a company or family business [Go to 12]<br />[] 5 Public sector employee<br />[] 6 Private sector employee [Go to 4]<br />[] 7 Other situation (specify: ____) [Go to 12]<br />[] 0 Unknown [Go to 4]</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the person's occupational status within their main activity.01Businessman with employees03Self-employed or entrepreneur without employees 05Member of a cooperative 06Helps the company or family business 07Public sector employee08Private sector employee09Another situation 99NIU (not in universe)Work Variables -- PERSONType of administration of work3. What type of administration is there where you work? (I will read the options to you): SP</p>
<div class="i1">[] 1 Central administration<br />[] 2 The Social Security Administration<br />[] 3 Administration of the autonomous community<br />[] 4 Local administration<br />[] 5 Public companies and public financial institutions<br />[] 6 Another type<br />[] 7 You don't know but you can specify: ____<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Employees in public sectorThis variable indicates the type of administration of the person's work for employees in the public sector.0Don't know1Central administration2The Social Security Administration3Administration of autonomous community4Local administration5Public companies and public financial institutions6Another type9NIU (not in universe)Work Variables -- PERSONHave temporary or indefinite contract4. Is your contract or employment of indefinite duration or temporary? DUCON1</p>
<div class="i1">[] 1 Indefinite duration<br />[] 6 Temporary [Go to 6]<br />[] 0 Unknown [Go to 9]</div>Spain 2011 Q2 LFS: All employeesThis variable indicates whether the person had a temporary or indefinite contract of employment.1Indefinite6Temporary9NIU (not in universe)Work Variables -- PERSONPermanent or discontinuous work relationship4. Is your contract or employment of indefinite duration or temporary? DUCON1</p>
<div class="i1">[] 1 Indefinite duration<br />[] 6 Temporary [Go to 6]<br />[] 0 Unknown [Go to 9]</div><p>5. Is it permanent for the long term or discontinuous? DUCON2</p>
<div class="i1">[] 1 Permanent for the long term [Go to 9]<br />[] 6 Discontinuous [Go to 9]<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Employees with permanent contractThis variable indicates whether the employee's contract of employment is permanent or discontinuous.1Permanent6Discontinuous9NIU (not in universe)Work Variables -- PERSONType of temporary contract or employment relationship4. Is your contract or employment of indefinite duration or temporary? DUCON1</p>
<div class="i1">[] 1 Indefinite duration<br />[] 6 Temporary [Go to 6]<br />[] 0 Unknown [Go to 9]</div><p>6. What kind of temporary contract do you have? (Do not read the options. Mark the one that the interviewee indicates. If he/she says he/she does not know, read the options. If he/she still does not know, select "Other.") DUCON3</p>
<div class="i1">[] 1 Casual employee due to production circumstances<br />[] 2 Learning, training or practice<br />[] 3 Seasonal<br />[] 4 Test period of employment<br />[] 5 Covering the total or partial absence of another worker<br />[] 6 For a specific project<br />[] 7 Verbal contract not included in the above options<br />[] 8 Other type (specify: ____)<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Employees with temporary contractThis variable indicates the person's type of temporary contract or employment relationship.0Don't know1Production circumstances2For learning, training or practice3Seasonal 4Covers a test period5Covers the total or partial absence of another worker6For work or particular service7Verbal not included in the above options8Another type 9NIU (not in universe)Work Variables -- PERSONDuration in months of temporary contract or employment relationship8. What is the total duration, in months, of your contract or employment relationship? (State 99 in months when the contract exceeds that amount. If he/she does not know the answer but the duration is at least one month, enter 00 in months. If he/she does not know the answer but the duration is less than a one month, enter 00 in days. If he/she does not know, enter 99 in days.)</p>
<div class="i1">Number of months: ____ TCONTM<br />If less than one month, note the number of days: ____ TCONTD</div>Spain 2011 Q2 LFS: Employees with temporary contract with minimum duration of one monthThis variable indicates the duration in months of the person's temporary contract or employment relationship.00Not known but at least one month01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545456565757585859596060646466666868707071717272747475757878808084848888909091919696 or more99NIU (not in universe)Work Variables -- PERSONDuration in days of temporary contract or employment relationship8. What is the total duration, in months, of your contract or employment relationship? (State 99 in months when the contract exceeds that amount. If he/she does not know the answer but the duration is at least one month, enter 00 in months. If he/she does not know the answer but the duration is less than a one month, enter 00 in days. If he/she does not know, enter 99 in days.)</p>
<div class="i1">Number of months: ____ TCONTM<br />If less than one month, note the number of days: ____ TCONTD</div>Spain 2011 Q2 LFS: Employees with temporary contract with minimum duration of one monthThis variable indicates the duration in days of the person's temporary contract or employment relationship.00Not known but less than one month0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828303098No known99NIU (not in universe)Work Variables -- PERSONTime in months from renewal of contract10. Did you acquire your current job through a public employment office or work center? CONTPB</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>11. When did your contract or current employment begin? If your contract has been renewed, tell me the year and month of the latest renewal. (If he/she does not know, enter 0000 in year or 00 in month.)</p>
<div class="i1">Year: ____ ANOREN <br />Month: ____ MESREN</div>Spain 2011 Q2 LFS: EmployeesThis variable indicates the time in months from the renewal of the employee's contract.This is a 3-digit numeric variable with 0 implied decimal placesWork Variables -- PERSONTime in months in the company12. When did you begin working for your current company, business or cooperative? Tell me the year and month. (If he/she does not know, enter 0000 in year or 00 in month.) </p>
<div class="i1">Year: _ _ _ _ ANOCOM <br />Month: _ _ MESCOM</div>Spain 2011 Q2 LFS: Employed personsThis variable indicates the time in months for which the person has been working in the company.This is a 3-digit numeric variable with 0 implied decimal placesWork Variables -- PERSONProvince of work establishment16. Where is your work establishment located? (If you are in Spain, ask in which province. If he/she does not know, enter 00. If he/she was born abroad, ask in what country or dependent territory. If he/she does not know, enter 000. If he/she does not know, enter 99 in province.)</p>
<div class="i1">If in Spain, note the province: ____ PROEST <br />If abroad, note country or dependent territory (or region if you are in France, Portugal or Gibraltar): ____ PAIEST</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the province of the person's work establishment for employees who work in Spain.01Araba 02Albacete 03Alicante04Almeria05Avila06Badajoz 07Balearic Islands08Barcelona 09Burgos 10Caceres11Cadiz12Castellon 13Ciudad Real 14Cordoba15Coru 16Cuenca 17Girona 18Granada 19Guadalajara 20Gipuzkoa 21Huelva 22Huesca 23Jaen24Leon25Lleida 26Rioja, La 27Lugo 28Madrid 29Malaga30Murcia 31Navarre32Ourense 33Asturias 34Palencia 35Palmas, Las 36Pontevedra 37Salamanca 38Santa Cruz de Tenerife 39Cantabria 40Segovia 41Seville42Soria 43Tarragona 44Teruel 45Toledo 46Valencia47Valladolid 48Biscay49Zamora 50Zaragoza 51Ceuta 52Melilla 99NIU (not in universe)Work Variables -- PERSONRegion of work establishment outside Spain16. Where is your work establishment located? (If you are in Spain, ask in which province. If he/she does not know, enter 00. If he/she was born abroad, ask in what country or dependent territory. If he/she does not know, enter 000. If he/she does not know, enter 99 in province.)</p>
<div class="i1">If in Spain, note the province: ____ PROEST <br />If abroad, note country or dependent territory (or region if you are in France, Portugal or Gibraltar): ____ PAIEST</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the region of the person's work establishment for employees who work outside of Spain.100Rest of Europe (except Andorra)115EU-15 countries125EU-25 countries (not EU-15)127EU-27 countries (not EU-25)128EU-28 countries (not EU-27)200Africa300North America310Central America350South America400East Asia410West Asia420South and Southeast Asia500Oceania600Portugal610France620Andorra630Morocco999NIU (not in universe)Work Variables -- PERSONFull or part-time work day19. What type of position do you have: full-time or part-time? PARCO1</p>
<div class="i1">[] 1 Full-time [Go to box before 22]<br />[] 6 Part-time<br />[] 0 Unknown [Go to box before 22]</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates whether the person had a full or a part-time work day.1Complete6Partial9NIU (not in universe)Work Variables -- PERSONReason for having part-time work20. For which of the following reasons do you work part-time? (I will read the options to you): PARCO2</p>
<div class="i1">[] 1 To get an education or take classes [Go to box before 22]<br />[] 2 Due to disease or disability [Go to box before 22]<br />[] 3 To care for children and/or sick, disabled or elderly adults<br />[] 4 Other family or personal obligations [Go to box before 22]<br />[] 5 Unable to find a full-time job [Go to box before 22]<br />[] 6 Do not want to have a full-time job [Go to box before 22]<br />[] 7 Other reasons [Go to box before 22]<br />[] 0 Unknown [Go to box before 22]</div>Spain 2011 Q2 LFS: Part-time employed personsThis variable indicates the person's reason for having part-time work.0Don't know1To follow courses of education or training2Disease or own disability3Care of children and sick adults, disabled or elderly4Other family or personal obligations5Have not been able to find a full-time job6Not wanting a full-time job7Other reasons9NIU (not in universe)Work Variables -- PERSONHours of work of contract or arrangement (hhmm)22. How many hours per week have you agreed to work per your contract or agreement? Please do not take into account breaks given for meals, etc. HORASP (If the job schedule is irregular, note the average number of hours worked per week in the last four weeks. 9999 = he/she can not specify or he/she does not know.) </p>
<div class="i1">Number of hours/minutes: ____ HORASP</div>Spain 2011 Q2 LFS: EmployeesThis variable indicates the number of hours and minutes the person is assigned to work according to their employment contract or arrangement.This is a 4-digit numeric variable with 0 implied decimal placesWork Variables -- PERSONUsual hours worked per week (hhmm)23. How many hours per week do you regularly work? Do not take into account breaks given for meals. (If the job is unreported, indicate the average number of weekly hours worked in the last four weeks. Enter 9999 if he/she can not specify.)</p>
<div class="i1">Number of hours/minutes: ____ HORASH</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the number of hours and minutes the person regularly works in a given week.This is a 4-digit numeric variable with 0 implied decimal placesWork Variables -- PERSONActual hours at work last week (hhmm)25. In the week in reference, how many hours did you work at this job? Do not take into account breaks given for meals. (If he/she does not know, enter 9999.)</p>
<div class="i1">Number of hours/minutes: ____ HORAE1</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates the number of hours and minutes the person actually worked last week.This is a 4-digit numeric variable with 0 implied decimal placesWork Variables -- PERSONWorked overtime last week24. In the week in reference and this employment, did you carry out any work you consider overtime, paid or unpaid? EXTRA</p>
<div class="i1">[] 1 Yes [Go to C26]<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: EmployeesThis variable indicates whether the person worked overtime last week.1Yes6No9NIU (not in universe)Work Variables -- PERSONNumber of overtime hours paid last week (hhmm)24. In the week in reference and this employment, did you carry out any work you consider overtime, paid or unpaid? EXTRA</p>
<div class="i1">[] 1 Yes [Go to C26]<br />[] 6 No<br />[] 0 Unknown</div><p>27. In the week in reference, how many extra paid hours did you work at this job? (If he/she does not know, enter 9999.)</p>
<div class="i1">Number of hours/minutes: ____ EXTPAG</div>Spain 2011 Q2 LFS: Employees who worked overtime last weekThis variable indicates the number of paid overtime hours and minutes the person worked last week.0000No extra hours worked0009900303000454501001000130130020020002152150230230024524503003000330330034534504004000404404043043005005000530530060060006256250630630070070007307300800800083083008458450900900100010001100110012001200123012301300130013301330140014001414141414301430150015001515151516001600163016301700170017301730180018001900190019301930200020002100210022002200223022302300230024002400250025002600260027302730280028002900290030003000310031003200320033003300340034003500350036003600370037003730373037593759380038004000400041004100420042004400440045004500460046004800480050005000510051005300530054005400550055005700570060006000640064009998Not stated/unknown9999NIU (not in universe)Work Variables -- PERSONNumber of overtime hours unpaid last week (hhmm)24. In the week in reference and this employment, did you carry out any work you consider overtime, paid or unpaid? EXTRA</p>
<div class="i1">[] 1 Yes [Go to C26]<br />[] 6 No<br />[] 0 Unknown</div><p>28. In the week in reference, how many extra unpaid hours did you work at this job? (If he/she does not know, enter 9999.)</p>
<div class="i1">Number of hours/minutes: ____ EXTPAG</div>Spain 2011 Q2 LFS: Employees who worked overtime last weekThis variable indicates the number of unpaid overtime hours and minutes the person worked last week.0000No extra hours worked00033000440015150020200030300045450100100012012001301300200200020620602192190230230030030003153150330330040040004044040430430050050005055050530530060060006066060630630070070007307300750750080080008308300845845090090009099090930930094894810001000101010101030103011001100120012001230123012501250130013001330133014001400141414141430143015001500153015301600160016301630170017001800180019301930200020002020202021002100220022002230223023002300240024002500250026002600273027302800280029002900300030003100310032003200323032303300330033303330350035003600360037003700380038004000400042004200440044004500450046004600480048005000500053005300570057005900590060006000610061006400640070007000800080009998Not stated/unknown9999NIU (not in universe)Work Variables -- PERSONReason for difference actual and usual hours worked last week29. What is the main reason that you worked a number of hours other than the usual? (Do not read the options. Mark the option that corresponds with the interviewee's response.) RZDIFH</p>
<div class="i1">Reasons for working fewer hours than usual:</div><div class="i2">[] 1 Holidays or days of leave<br />[] 2 Leave for the birth of a child<br />[] 3 Local town holidays<br />[] 4 Illness, accident or temporary disability<br />[] 5 Flexible or variable work schedule<br />[] 6 Union representation activities<br />[] 7 End of employment without starting a new one<br />[] 8 Start or change of employment during the week in reference<br />[] 9 Bad weather<br />[] 10 Stopped temporarily for technical or economic reasons<br />[] 11 Employment regulation plan<br />[] 12 Strike or labor dispute<br />[] 13 Receiving education or training outside the establishment<br />[] 14 Personal reasons or family responsibilities<br />[] 15 Other causes<br />[] 0 Unknown</div><div class="i1">Reasons for working more hours than usual:</div><div class="i2">[] 16 Flexible or variable work schedule<br />[] 17 Overtime<br />[] 18 Other causes<br />[] 19 Unknown</div>Spain 2011 Q2 LFS: Persons who worked other than usual hoursThis variable indicates the main reason for the difference between the person's actual and usual hours worked last week.00Don't know01Worked less hours. Holidays or days of leave02Worked less hours. Leave for the birth of a child03Worked less hours. Local town holidays04Worked less hours. Illness, injury or disability05Worked less hours. Work day in summer, variable, flexible or similar schedule06Worked less hours. Union representation activities07Worked less hours. End of employment without starting a new one08Worked less hours. Start or change of employment during the reference week09Worked less hours. Bad weather10Worked less hours. Slack work for technical or economical reasons11Worked less hours. It is on employment regulation plan12Worked less hours. Strike or labour dispute13Worked less hours. Having received education or training outside the establishment14Worked less hours. Personal reasons or family responsibilities15Worked less hours. Other causes16Worked more hours. Variable or flexible schedule17Worked more hours. Overtime18Worked more hours. Other causes19Worked more hours. Don't know 99NIU (not in universe)Work Variables -- PERSONHave multiple jobs1. In the week in reference, did you have more than one job or work at least one hour at another type of employment? TRAPLU</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates whether the person had multiple jobs.1Yes6No9NIU (not in universe)Work Variables -- PERSONOccupation of second job[The following questions refer to the past 4 weeks. Interviewer: If C1 = 1, read for the informant the next thing: Think only of your main employment to respond.]</p>
<p>40. What is the occupation or type of work you do in your second job? (If the interviewee does not understand this question, give some examples, such as: bus driver, construction worker, university professor, etc. If he/she does not know, enter 000.) ____ OCUPLUSpain 2011 Q2 LFS: Persons with a second job last weekThis variable indicates the occupation or type of work of the person's second job.00Military occupations01Directors and managers02Technicians and scientific professionals and intellectuals03Technicians and support professionals04Accountancy, administrative and other office employees05Workers of catering services, personal, protection and commerce vendors06Skilled workers in agriculture, livestock, forestry and fishing07Craftsmen and skilled workers of the manufacturing industries and construction (except operators of installations and machinery) 08Operators of installations and machinery, and assemblers09Elementary occupations99NIU (not in universe)Work: Occupation Variables -- PERSONIndustry of second job[The following questions refer to the past 4 weeks. Interviewer: If C1 = 1, read for the informant the next thing: Think only of your main employment to respond.]</p>
<p>41. What is the industry of the establishment of your second job? (If the interviewee does not understand this question, give some examples, such as: manufacturer of cars, restaurant, bank, hair salon, etc. If he/she does not know, enter 000.) ____ ACTPLUSpain 2011 Q2 LFS: Persons with a second job last weekThis variable indicates the industry of person's second job.00Agriculture, livestock, forestry and fishing01Food, textile, leather, wood and paper industries02Extractive industries, refining, chemicals, pharmaceuticals, rubber and plastics, electricity, gas, water, waste management, metallurgy03Construction machinery, electric equipment and transport equipment, installation and repair04Construction05Wholesale and retail commerce, auto repair, hospitality06Transport and storage, information and communication07Financial intermediation, insurance, real estate, professional services, scientific, administrative and others08Public administration, education and health activities09Other services99NIU (not in universe)Work: Industry Variables -- PERSONProfessional situation in second job[The following questions refer to the past 4 weeks. Interviewer: If C1 = 1, read for the informant the next thing: Think only of your main employment to respond.]</p>
<p>39. Which of the following is your professional situation? (I will read the options to you) SITPLU</p>
<div class="i1">[] 1 Member of a cooperative<br />[] 2 Business owner with employees<br />[] 3 Self-employed or entrepreneur without employees<br />[] 4 You help a company or family business<br />[] 5 Public sector employee<br />[] 6 Private sector employee<br />[] 7 Other situation (specify: ____)<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons with a second job last weekThis variable indicates the person's professional situation in the second job.01Businessman with employees03Self-employed or entrepreneur without employees 05Member of a cooperative 06Helps the company or family business 07Public sector employee08Private sector employee09Another situation 99NIU (not in universe)Work Variables -- PERSONActual hours worked last week in second job (hhmm)[The following questions refer to the past 4 weeks. Interviewer: If C1 = 1, read for the informant the next thing: Think only of your main employment to respond.]</p>
<p>42. During the week of reference, how many hours did you spend at your second job? Do not take into account breaks given to eat. (If he/she does not know, enter 9999.)
<br />Number of hours/minutes: ____ HORPLUSpain 2011 Q2 LFS: Persons with a second job last weekThis variable indicates the number of hours and minutes the person actually worked last week at their second job.0000Did not work0030300045450100100011511501221220130130020020002302300300300031531503203200330330034534504004000404404040940904304300445445050050005305300600600061561506306300700700073073008008000825825083083009009001000100010101010101110111030103011001100111511151130113011401140120012001230123013001300133013301400140014301430150015001530153016001600161516151630163017001700173017301800180018301830190019002000200020202020203020302100210022002200223022302300230024002400250025002600260026022602270027002730273028002800290029002930293030003000303030303100310031303130320032003230323033003300334533453400340035003500353535353600360037003700373037303800380038303830390039004000400042004200440044004500450045304530460046004800480049004900500050005200520054005400550055005600560057005700580058006000600062006200660066006800680069006900700070007100710072007200760076008000800095009500953095309998Not stated/unknown9999NIU (not in universe)Work Variables -- PERSONWould like to work more hours[The following questions refer to the past 4 weeks. Interviewer: If C1 = 1, read for the informant the next thing: Think only of your main employment to respond.]</p>
<p>43. Do you generally wish to work more hours than you are currently working? MASHO1</p>
<div class="i1">[] 1 Yes [Go to 45]<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates whether the employed person would like to work more hours.1Yes2No, I would like to work fewer hours with proportional reduction of wages3No9NIU (not in universe)Work Variables -- PERSONAvailable to work more hours in 15 days before reference week46. [If the interview happened the week it was supposed to or the week after]
<br />If you had the opportunity, could you start working more hours within 15 days of the week in reference? DISP21
<br />[If the interview happened more than one week after it was supposed to]
<br />If you had the opportunity, would you have been able to start working more hours sooner than within 15 days of the week in reference? DISP21</p>
<div class="i1">[] 1 Yes [Go to 48]<br />[] 6 No</div>Spain 2011 Q2 LFS: Persons with a job who want to work more hoursThis variable indicates whether the person would have been/would be available to work more hours within 15 days before the reference week.1Yes6No9NIU (not in universe)Work Variables -- PERSONReason could not work more hours47. [If the interview happened the week it was supposed to or the week after]
<br />Which of the following reasons would cause you not to start on those dates? (I will read the options to you): DISP22
<br />[If the interview happened more than one week after it was supposed to]
<br />Which of the following reasons would have caused you not to start on that date? (I will read the options for you): DISP22</p>
<div class="i1">[] 1 Unable to quit current job because of the notice period<br />[] 2 Completing studies or training<br />[] 3 Personal reasons or family responsibilities<br />[] 4 Disease or own disability<br />[] 5 Other reasons<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons with a job who want to work more hours but were unableThis variable indicates the reason why the person would not be able to work more hours even though they were seeking work.1Having to complete studies or training2Personal reasons or family responsibilities3Disease or own disability4Not able to leave current job due to the period of notice (for those with work in the reference week)5Other reasons9NIU (not in universe)Work Variables -- PERSONNumber of hours would usually work if able to48. How many hours would you prefer to work per week? (If he/she has more than one job or is looking for a second job, consider the total number of hours. If he/she does not know, enter 9999.)</p>
<div class="i1">Number of hours/minutes: ____ HORDES</div>Spain 2011 Q2 LFS: Persons with a job who want to work more or fewer hoursThis variable indicates the number of hours the person would prefer to work if able.011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878808081818383848485858686878788888989909091919595979798Not stated/unknown99NIU (not in universe)Work Variables -- PERSONLooking for another job1. [If you are coming from C]
<br />In the last 4 weeks, until Sunday of the week of reference, have you tried to find other employment or have you set up your own company or business? Consider any type of employment, even if you worked only a few hours. BUSCA1
<br />[If you are not coming from C]
<br />In the last 4 weeks, until Sunday of the week of reference, have you tried to find other employment or have you set up your own company or business? Consider any type of employment, even if you worked only a few hours. BUSCA1</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ with paid work last weekThis variable indicates whether the person was looking for an additional job.1Yes6No9NIU (not in universe)Work Variables -- PERSONSearched for employment in past four weeks1. [If you are coming from C]
<br />In the last 4 weeks, until Sunday of the week of reference, have you tried to find other employment or have you set up your own company or business? Consider any type of employment, even if you worked only a few hours. BUSCA1
<br />[If you are not coming from C]
<br />In the last 4 weeks, until Sunday of the week of reference, have you tried to find other employment or have you set up your own company or business? Consider any type of employment, even if you worked only a few hours. BUSCA1</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16-74 unemployed who did not work last weekThis variable indicates whether the person searched for additional employment in the past four weeks.1Yes6No9NIU (not in universe)Work Variables -- PERSONWould like a job1. [If you are coming from C]
<br />In the last 4 weeks, until Sunday of the week of reference, have you tried to find other employment or have you set up your own company or business? Consider any type of employment, even if you worked only a few hours. BUSCA1
<br />[If you are not coming from C]
<br />In the last 4 weeks, until Sunday of the week of reference, have you tried to find other employment or have you set up your own company or business? Consider any type of employment, even if you worked only a few hours. BUSCA1</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div><p>4. Thinking about the last four weeks, would you have wanted to have a job? BUSCA2 </p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16-74 unemployed who did not seek work in last four weeksThis variable indicates whether the person, who is currently unemployed and has not sought work in the past four weeks, would like a job.1Yes6No9NIU (not in universe)Work Variables -- PERSONActive job search5. Which ways have you sought employment in the past four weeks? (Do not read the options. Mark all that the interviewee indicates. If he/she says something that is not on the list, note it in "other way".)</p>
<div class="i1">[] 1 Contacting the public workforce center FORB1A<br />[] 2 Contacting any private employment office or registering to a job center FORB2A<br />[] 3 Contacting the employer directly or submitting a resume FORB3A<br />[] 4 Through friends, relatives or a Trade Union FORB4A<br />[] 5 Through ads or job offers, including the Internet F5610A<br />[] 6 Making arrangements to set up your own business FOR89A<br />[] 7 Performing tests or interviews FORB7A<br />[] 8 You have been waiting for the results of an employment application or public examinations F1415A<br />[] 9 You have been waiting for the call from a public employment office FOR12A<br />[] 10 Other way: ____ FOR16A<br />[] 0 Unknown FORB0A</div>Spain 2011 Q2 LFS: Persons seeking employmentThis variable indicates whether the person has actively sought employment.1Active methods of job search 6Non active methods of job search9NIU (not in universe)Work Variables -- PERSONReason not seeking employment11. [If D4 = 6]
<br />What is the main reason you did not want to be employed? NBUSCA
<br />[If D4 != 6]
<br />What is the main reason you have not searched for employment in the last 4 weeks? NBUSCA</p>
<div class="i1">[] 1 You think you will be unable to find a job (only appears if D4=1) [Go to box before 13]<br />[] 2 Affected by a labor force reduction plan Go to box before 13 [Go to box before 13]<br />[] 3 Disease or own disability [Go to box before 13]<br />[] 4 Care of children and sick adults, disabled or elderly<br />[] 5 You have other family or personal responsibilities [Go to box before 13]<br />[] 6 You are studying or receiving training [Go to box before 13]<br />[] 7 You are retired [Go to box before 13]<br />[] 8 Other reasons (specify: ____) [Go to box before 13]<br />[] 0 Unknown [Go to box before 13]</div>Spain 2011 Q2 LFS: Unemployed persons not seeking employmentThis variable indicates the unemployed person's reason for not seeking employment.0Don't know1You think you will not find it 2Affected by a labor force reduction plan 3Disease or own disability4Care of children and sick adults, disabled or elderly5With other family or personal responsibilities6Studying or receiving training7Retired8Other reasons9NIU (not in universe)Work Variables -- PERSONEmployment sought or newly found is paid13. [(If D3 = 1) or (if D1 = 1, D3 = 6 or 0, D5 is blank, 0, or 8-10, and none of D6.1 through D6.7 = 1) or (if D1 = 6 and D3 = 6 or 0)]
<br />The job you have found - will you be an employee? NBUSCA
<br />[Otherwise]
<br />Are you looking for a job as an employee? NBUSCA</p>
<div class="i1">[] 1 Yes<br />[] 6 No [Go to 15]<br />[] 0 Unknown [Go to 15]</div>Spain 2011 Q2 LFS: Persons seeking employment who have found a jobThis variable indicates whether the person's sought or newly found employment is paid.0Don't know 1Yes6No9NIU (not in universe)Work Variables -- PERSONType of work day sought/found employment14. [(If D3 = 1) or (if D1 = 1, D3 = 6 or 0, D5 is blank, 0, or 8-10, and none of D6.1 through D6.7 = 1) or (if D1 = 6 and D3 = 6 or 0)]
<br />What is the type of workday for the job you have just secured? NBUSCA
<br />[Otherwise]
<br />What type of workday would you prefer to have in the job you are seeking? NBUSCA</p>
<div class="i1">[] 1 Full-time<br />[] 2 Full-time, but would accept part-time (Not an option (if B5 = 7) or (if D3 = 1) or (if D1 = 1, D3 = 6 or 0, D5 is blank, 0, or 8-10, and none of D6.1 through D6.7 = 1) or (if D1 = 6 and D3 = 6 or 0))<br />[] 3 Part-time<br />[] 4 Part-time, but would accept full-time (Not an option (if B5 = 7) or (if D3 = 1) or (if D1 = 1, D3 = 6 or 0, D5 is blank, 0, or 8-10, and none of D6.1 through D6.7 = 1) or (if D1 = 6 and D3 = 6 or 0))<br />[] 5 Any workday/Whatever he/she can find (Not an option (if B5 = 7) or (if D3 = 1) or (if D1 = 1, D3 = 6 or 0, D5 is blank, 0, or 8-10, and none of D6.1 through D6.7 = 1) or (if D1 = 6 and D3 = 6 or 0))<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons seeking employment who have found a jobThis variable indicates the type of workday of the job the person is seeking or has recently found.0Don't know 1Full time2Full time, but would accept part-time 3Part-time 4Part-time, but would accept full-time 5Whatever you find 9NIU (not in universe)Work Variables -- PERSONTime spent looking for work15. [(If D3 = 1) or (if D1 = 1, D3 = 6 or 0, D5 is blank, 0, or 8-10, and none of D6.1 through D6.7 = 1) or (if D1 = 6 and D3 = 6 or 0)]
<br />How long did you look for employment before finding it? (If you found it after the Sunday of the week of reference, count only up to that Sunday) ITBU
<br />[Otherwise]
<br />Until Sunday of the week of reference, how long have you been looking for employment? (You should not read the option. The interviewer marks the option that corresponds with the interviewee's response.) ITBU</p>
<div class="i1">[] 1 Less than 1 month<br />[] 2 From 1 to 3 months<br />[] 3 From 3 to 6 months<br />[] 4 From 6 months to 1 year<br />[] 5 From 1 year to 1 year and a half<br />[] 6 From 1 year and a half to 2 years<br />[] 7 From 2 to 4 years<br />[] 8 4 years or longer<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons seeking employment who have found a jobThis variable indicates the amount of time the person has spent looking for work.1Less than 1 month2From 1 to less than 3 months3From 3 to less than 6 months4From 6 months to less than 1 year5From 1 year to less than 1 year and a half 6From 1 year and a half to less than 2 years 7From 2 to less than 4 years84 years old or older9NIU (not in universe)Work Variables -- PERSONAvailable to work within 15 days18. [If the interview happened the week it was supposed to or the week after]
<br />If you find a job, could you begin work within 15 days from the week of reference? DIS131
<br />[If the interview happened more than one week after it was supposed to]
<br />If you had had the chance, would you have been able to start working more hours earlier than 15 days from the week in reference? DIS131</p>
<div class="i1">[] 1 Yes [Go to box after 19]<br />[] 6 No<br />[] 0 Unknown [Go to box after 19]</div>Spain 2011 Q2 LFS: Persons age 16-74 not employed or employees not looking for another jobThis variable indicates whether the person who is unemployed or not actively seeking work would be available to work within 15 days of the reference week.1Yes6No9NIU (not in universe)Work Variables -- PERSONReason not able to start working within 15 days19. [If the interview happened the week it was supposed to or the week after]
<br />Which of the following reasons would cause you not to start on those dates? (I will read the options to you) DIS132
<br />[If the interview happened more than one week after it was supposed to]
<br />Which of the following reasons would have caused you not to start on that date? (I will read the options to you) DIS132</p>
<div class="i1">[] 1 Not being able to quit your current job because of the notice period<br />[] 2 Having to complete studies or training<br />[] 3 Personal reasons or family responsibilities<br />[] 4 Disease or own disability<br />[] 5 Other reasons</div>Spain 2011 Q2 LFS: Persons age 16-74 not employed or employees not looking for another job not available within 15 daysThis variable indicates the reason the person who is unemployed or not actively seeking work would not be able to start working within 15 days of the reference week.1Having to complete studies or training2Personal reasons or family responsibilities3Disease or own disability4Not able to leave his current job due to the period of notice (for those with work in the reference week)5Other reasons9NIU (not in universe)Work Variables -- PERSONHave worked before1. Have you ever worked? EMPANT</p>
<div class="i1">[] 1 Yes<br />[] 6 No [Go to F]<br />[] 0 Unknown [Go to F]</div>Spain 2011 Q2 LFS: Persons age 16+ not working last week and without a jobThis variable indicates whether the person, who is currently unemployed, has ever worked before.1Yes6No9NIU (not in universe)Work Variables -- PERSONMonths since left last job2. When (what date) did you stop working? (If he/she does not know, enter 0000 in year or 00 in month)</p>
<div class="i1">Year: ____ TANTA <br />Month: ____ TANTM</div>Spain 2011 Q2 LFS: Unemployed persons who have worked beforeThis variable indicates the month and year the person left their last job, if they are currently unemployed but have worked before.This is a 3-digit numeric variable with 0 implied decimal placesWork Variables -- PERSONOccupation in last job, if less than a year ago*5. What was your job or what kind of work did you do? (If the interviewee does not understand the question, you can give some examples, such as: bus driver, construction worker, university professor, etc. If he/she does not know, enter 000) ____ OCUPASpain 2011 Q2 LFS: Persons without a job who left employment within last yearThis variable indicates the person's occupation in their last job, if they left employment less than a year ago.00Military occupations01Directors and managers02Technicians and scientific professionals and intellectuals03Technicians and support professionals04Accountancy, administrative and other office employees05Workers of catering services, personal, protection and commerce vendors06Skilled workers in agriculture, livestock, forestry and fishing07Craftsmen and skilled workers of the manufacturing industries and construction (except operators of installations and machinery) 08Operators of installations and machinery, and assemblers09Elementary occupations99NIU (not in universe)Work: Occupation Variables -- PERSONIndustry of last job, if less than a year ago*6. What is the industry of the establishment where you worked? (If the interviewee does not understand the question, you can give some examples such as: car manufacturer, restaurant, bank, hair salon, etc. If he/she does not know, enter 000) ____ ACTASpain 2011 Q2 LFS: Persons without a job who left employment within last yearThis variable indicates the industry of the person's last job, if they left employment less than a year ago.00Agriculture, livestock, forestry and fishing01Food, textile, leather, wood and paper industries02Extractive industries, refining, chemicals, pharmaceuticals, rubber and plastics, electricity, gas, water, waste management, metallurgy03Construction machinery, electric equipment and transport equipment, installation and repair04Construction05Wholesale and retail commerce, auto repair, hospitality06Transport and storage, information and communication07Financial intermediation, insurance, real estate, professional services, scientific, administrative and others08Public administration, education and health activities09Other services99NIU (not in universe)Work: Industry Variables -- PERSONProfessional situation of last job, if less than a year ago*4. Which of the following is your professional situation? (I will read the options to you) SITUA</p>
<div class="i1">[] 1 Member of a cooperative<br />[] 2 Business owner with employees<br />[] 3 Self-employed or entrepreneur without employees<br />[] 4 You help a company or family business<br />[] 5 Public sector employee<br />[] 6 Private sector employee<br />[] 7 Other situation (specify: ____)</div>Spain 2011 Q2 LFS: Persons without a job who left employment within last yearThis variable indicates the professional situation of the person's last job, if they left employment less than a year ago.01Businessman with employees03Self-employed or entrepreneur without employees 05Member of a cooperative 06Helps the company or family business 07Public sector employee08Private sector employee09Another situation 99NIU (not in universe)Work Variables -- PERSONLast Sunday was registered at office of public employment1. For the Sunday of the week of reference, were you enrolled at a public employment office? OFEMP1</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown [Go to H]<br />[] 9 Not answered [Go to H]</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates whether the person was registered at the office of public employment the Sunday before the reference week.1Were registered as a plaintiff and were receiving a benefit2Were registered as a plaintiff without receiving unemployment allowance or benefit3Not registered as a plaintiff4No answer / don't know9NIU (not in universe)Work Variables -- PERSONSituation of inactivity self-perceived last week, 1st response1. What was your situation during the week of reference? (I will read the options to you. Mark a maximum of 3 answers.) SIDIV1, SIDIV2, SIDIV3</p>
<div class="i1">[] 7 Employed<br />[] 8 Searching for a job<br />[] 1 Student (even if on vacation or leave)<br />[] 2 Receiving a retirement pension or a pre-retirement income<br />[] 3 Managing the household<br />[] 4 Permanently disabled<br />[] 5 Receiving a pension for something other than retirement (or early retirement)<br />[] 6 Doing unpaid social work, charitable activities, etc.<br />[] 9 Other situations<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ who were economically inactive last weekThis variable indicates the person's self-perceived reason for inactivity last week, 1st response.0Not known1Student (even if on vacation)2Received a retirement pension or pre-retirement income3Dedicated to household chores4Permanently disabled5Received a pension other than retirement or early retirement6Unpaid social work, charitable activities, etc7Other situations9NIU (not in universe) and no responseWork Variables -- PERSONSituation of inactivity self-perceived last week, 2nd response1. What was your situation during the week of reference? (I will read the options to you. Mark a maximum of 3 answers.) SIDIV1, SIDIV2, SIDIV3</p>
<div class="i1">[] 7 Employed<br />[] 8 Searching for a job<br />[] 1 Student (even if on vacation or leave)<br />[] 2 Receiving a retirement pension or a pre-retirement income<br />[] 3 Managing the household<br />[] 4 Permanently disabled<br />[] 5 Receiving a pension for something other than retirement (or early retirement)<br />[] 6 Doing unpaid social work, charitable activities, etc.<br />[] 9 Other situations<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ who were economically inactive last weekThis variable indicates the person's self-perceived reason for inactivity last week, 2nd response.0Not known1Student (even if on vacation)2Received a retirement pension or pre-retirement income3Dedicated to household chores4Permanently disabled5Received a pension other than retirement or early retirement6Unpaid social work, charitable activities, etc7Other situations9NIU (not in universe) and no responseWork Variables -- PERSONSituation of inactivity self-perceived last week, 3rd response1. What was your situation during the week of reference? (I will read the options to you. Mark a maximum of 3 answers.) SIDIV1, SIDIV2, SIDIV3</p>
<div class="i1">[] 7 Employed<br />[] 8 Searching for a job<br />[] 1 Student (even if on vacation or leave)<br />[] 2 Receiving a retirement pension or a pre-retirement income<br />[] 3 Managing the household<br />[] 4 Permanently disabled<br />[] 5 Receiving a pension for something other than retirement (or early retirement)<br />[] 6 Doing unpaid social work, charitable activities, etc.<br />[] 9 Other situations<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ who were economically inactive last weekThis variable indicates the person's self-perceived reason for inactivity last week, 3rd response.0Not known1Student (even if on vacation)2Received a retirement pension or pre-retirement income3Dedicated to household chores4Permanently disabled5Received a pension other than retirement or early retirement6Unpaid social work, charitable activities, etc7Other situations9NIU (not in universe) and no responseWork Variables -- PERSONWork situation self-perceived last week, 1st response1. What was your situation during the week of reference? (I will read the options to you. Mark a maximum of 3 answers.) SIDIV1, SIDIV2, SIDIV3</p>
<div class="i1">[] 7 Employed<br />[] 8 Searching for a job<br />[] 1 Student (even if on vacation or leave)<br />[] 2 Receiving a retirement pension or a pre-retirement income<br />[] 3 Managing the household<br />[] 4 Permanently disabled<br />[] 5 Receiving a pension for something other than retirement (or early retirement)<br />[] 6 Doing unpaid social work, charitable activities, etc.<br />[] 9 Other situations<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ who were economically active last weekThis variable indicates the person's self-perceived work situation last week, 1st response.1Working2Searching for a job9NIU (not in universe) and no responseWork Variables -- PERSONWork situation self-perceived last week, 2nd response1. What was your situation during the week of reference? (I will read the options to you. Mark a maximum of 3 answers.) SIDIV1, SIDIV2, SIDIV3</p>
<div class="i1">[] 7 Employed<br />[] 8 Searching for a job<br />[] 1 Student (even if on vacation or leave)<br />[] 2 Receiving a retirement pension or a pre-retirement income<br />[] 3 Managing the household<br />[] 4 Permanently disabled<br />[] 5 Receiving a pension for something other than retirement (or early retirement)<br />[] 6 Doing unpaid social work, charitable activities, etc.<br />[] 9 Other situations<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+ who were economically active last weekThis variable indicates the person's self-perceived work situation last week, 2nd response.1Working2Searching for a job9NIU (not in universe) and no responseWork Variables -- PERSONMunicipality of residence in Spain one year ago1. In what municipality did you reside exactly one year ago? MUN1</p>
<div class="i1">[] 1 Same as present [Go to 3]<br />[] 6 Different<br />[] 0 Unknown [Go to 3]</div>Spain 2011 Q2 LFS: All personsThis variable indicates the person's municipality of residence one year ago.1Same as present6DifferentMigration: Global Variables -- PERSONProvince of residence in Spain one year ago2. Where else have you lived? (Interviewer: If he/she lived in Spain, ask in which province and municipality. If he/she does not know, enter 0000 for municipality and/or 00 for province. If she/he lived abroad, ask what country or dependent territory. If he/she does not know, enter 00. If he/she does not know if he/she lived in Spain or abroad, enter 99 in province)</p>
<div class="i1">If he/she previously resided in Spain, indicate:<br /><div class="i2">Municipality: ____ MUNRE1<br />Province: ____ PRORE1</div><br />If he/she previously resided abroad, state country or dependent territory: ____ PAIRE1</div>Spain 2011 Q2 LFS: Persons residing in a different Spanish municipality one year agoThis variable indicates the person's province of residence in Spain one year ago.01Araba 02Albacete 03Alicante04Almeria05Avila06Badajoz 07Balearic Islands08Barcelona 09Burgos 10Caceres11Cadiz12Castellon 13Ciudad Real 14Cordoba15Coru 16Cuenca 17Girona 18Granada 19Guadalajara 20Gipuzkoa 21Huelva 22Huesca 23Jaen24Leon25Lleida 26Rioja, La 27Lugo 28Madrid 29Malaga30Murcia 31Navarre32Ourense 33Asturias 34Palencia 35Palmas, Las 36Pontevedra 37Salamanca 38Santa Cruz de Tenerife 39Cantabria 40Segovia 41Seville42Soria 43Tarragona 44Teruel 45Toledo 46Valencia47Valladolid 48Biscay49Zamora 50Zaragoza 51Ceuta 52Melilla 99NIU (not in universe)Migration: Global Variables -- PERSONRegion of residence outside Spain one year ago2. Where else have you lived? (Interviewer: If he/she lived in Spain, ask in which province and municipality. If he/she does not know, enter 0000 for municipality and/or 00 for province. If she/he lived abroad, ask what country or dependent territory. If he/she does not know, enter 00. If he/she does not know if he/she lived in Spain or abroad, enter 99 in province)</p>
<div class="i1">If he/she previously resided in Spain, indicate:<br /><div class="i2">Municipality: ____ MUNRE1<br />Province: ____ PRORE1</div><br />If he/she previously resided abroad, state country or dependent territory: ____ PAIRE1</div>Spain 2011 Q2 LFS: Persons residing abroad one year agoThis variable indicates the person's region of residence outside Spain one year ago.100Rest of Europe115EU-15 countries125EU-25 countries (not EU-15)127EU-27 countries (not EU-25)128EU-28 countries (not EU-27)200Africa300North America310Central America350South America400East Asia410West Asia420South and Southeast Asia500Oceania999NIU (not in universe)Work Variables -- PERSONWorked at some point last year1. Did you carry out any paid work, as a self-employed person or as an employee, at any time last year? TRAANT</p>
<div class="i1">[] 1 Yes<br />[] 6 No<br />[] 0 Unknown</div>Spain 2011 Q2 LFS: Persons age 16+This variable indicates whether the person carried out paid work at any point last year.0Not known1Yes6No9NIU (not in universe)Work Variables -- PERSONEconomic activity, ILO criteriaSpain 2011 Q2 LFS: Persons age 16+This variable indicates the person's economic activity, according to ILO criteria.03Occupied underemployed for insufficient hours04Rest of employees05Unemployed looking for first job06Unemployed people who have worked before07Inactive 1 (discouraged)08Inactive 2 (together with the discouraged form potential assets)09Inactive 3 (rest of inactive)99NIU (not in universe)Work Variables -- PERSONAllocation of socio-economic statusSpain 2011 Q2 LFS: Employed or unemployed persons who have worked beforeThis variable indicates the allocation of socio-economic status for people that have worked before.01Agricultural entrepreneurs with employees02Agricultural entrepreneurs without employees03Members of agricultural cooperatives04Directors and heads of agricultural holdings05Rest of workers of agricultural holdings06Professional, technicians and similar professionals directing own activity with or without employees07Non-agricultural entrepreneurs with employees08Non-agricultural entrepreneurs without employees09Members of agricultural cooperatives10Directors and managers of non-agricultural establishments, public administration managers and members of the government bodies11Professionals, technicians and similar professionals who are employees12Exclusive occupations of public administration professionals13Other administrative and commercial personnel14Other service workers15Middle management of non-agricultural establishments 16Skilled and specialized operators on non-agricultural establishments17Unskilled operators on non-agricultural establishments18Members of the active armed forces19Not classifiable99NIU (not in universe)Work Variables -- PERSONWeighting factorSpain 2011 Q2 LFS: All personsThis variable indicates the weighting factor.This is a 7-digit numeric variable with 2 implied decimal placesTechnical Person Variables -- PERSON