Federal Population Census 1990DDI_CHE_1990_PHC_v01_M_v7.6_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSApril 1, 2025IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 7.6 October 2025 : NEW FEATURES.
--NO "new features" listed in Revision History
NEW SAMPLES.
--Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries.
--91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS.
SUPPLEMENTAL DATA.
--No "supplemental data" listed in revision history
NEW VARIABLES.
--New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml).
--Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf).
EDITED SAMPLES.
--For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL.
EDITED VARIABLES.
--For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren.
--In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)".
--MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007.
--In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999).
--In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample.
--The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born.
--The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status.
--In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007.
--Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all".
--Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence.
Federal Population Census 1990 - IPUMS SubsetPHC ch1990a (IPUMS Harmonized Subset)CHE_1990_PHC_v01_M_v7.6_A_IPUMSFederal Statistical OfficeIPUMS(c) Copyright 1990, Federal Statistical Office and Minnesota Population CenterFederal Statistical OfficePopulation and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.6Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONUtilities Variables -- HOUSEHOLDGeography: O-Z Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDMigration: Global Variables -- PERSONEthnicity and Language Variables -- PERSONHousehold Economic Variables -- HOUSEHOLDTechnical Person Variables -- PERSONUtilities Variables -- HOUSEHOLDDwelling Characteristics Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDGeography: O-Z Variables -- HOUSEHOLDWork Variables -- PERSONNativity and Birthplace Variables -- PERSONMigration: Global Variables -- PERSONEducation Variables -- PERSONDemographic Variables -- PERSONEthnicity and Language Variables -- PERSONWork: Occupation Variables -- PERSONWork: Industry Variables -- PERSON1990-12-04 00:00:00November 23 - 31 December, 1990SwitzerlandCantonPersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: Yes
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: Buildings isolated or separated by a wall that, on the day of the census, is inhabited or habitable. Buildings that are uninhabited on the day of the census are recorded only if equipped for permanent residence and are accessible throughout the year. For duplexes, either in groups or in series, each building separated from the others by a wall, going from the cellar to the roof, is considered an independent building.
- Households: Family members living together and all other persons living with them (e.g., mainds, apprentices, lodgers, permanent guests, nurses, etc.); persons living in the same dewlling without specific family ties; persons living alone in a dwelling.
- Group quarters: Collective households are groups of persons who reside in hotels, boarding homes, care facilities, hospitals, company dormitories, etc.All persons residing in Switzerland, except foreign diplomats stationed in Switzerland and their families. Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: Switzerland 1990
MICRODATA SOURCE: Federal Statistical Office
SAMPLE SIZE (person records): 342797.
SAMPLE DESIGN: Systematic sample of every 20th household, drawn by the Federal Statistical Office
Face-to-face [f2f]There are three sets of questionnaires: (i) person questionnaire, (ii) household questionnaire, and (iii) building questionnairede facto, CENSUS DAY: 1990-12-04 00:00:00Self-weighting. Expansion factor = 20.IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.
To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.
(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.
(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)
(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.
The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record.Federal Statistical OfficeSteven 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: Switzerland, Federal Statistical Office. Federal Population Census 1990
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 ch1990a, 2025CHE1990_PHC-H-H.datHousehold records147,947asciiMinnesota Population CenterVersion 7.5, IPUMS sampleCHE1990_PHC-P-H.datPerson records342797asciiMinnesota Population CenterVersion 7.5, IPUMS sampleRecord typeRECTYPE identifies the type of record for the case: household or person.
NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.HHouseholdPPersonTechnical Household Variables -- HOUSEHOLDCountryCOUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).032Argentina051Armenia040Austria050Bangladesh112Belarus204Benin068Bolivia072Botswana076Brazil854Burkina Faso116Cambodia120Cameroon124Canada152Chile156China170Colombia188Costa Rica192Cuba208Denmark214Dominican Republic218Ecuador818Egypt222El Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Côte d'Ivoire388Jamaica400Jordan404Kenya417Kyrgyz Republic418Laos426Lesotho430Liberia454Malawi458Malaysia466Mali480Mauritius484Mexico496Mongolia504Morocco508Mozambique104Myanmar524Nepal528Netherlands558Nicaragua566Nigeria578Norway586Pakistan275Palestine591Panama598Papua New Guinea600Paraguay604Peru608Philippines616Poland620Portugal630Puerto Rico642Romania643Russia646Rwanda662Saint Lucia686Senegal694Sierra Leone703Slovak Republic705Slovenia710South Africa728South Sudan724Spain729Sudan740Suriname752Sweden756Switzerland834Tanzania764Thailand768Togo780Trinidad and Tobago792Turkey800Uganda804Ukraine826United Kingdom840United States858Uruguay862Venezuela704Vietnam894Zambia716ZimbabweTechnical Household Variables -- HOUSEHOLDYearYEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported.170317031729172917871787180118011819181918451845184818481850185018511851185218521860186018611861186518651868186818701870187118711875187518801880188118811885188518901890189118911900190019011901191019101911191119601960196119611962196219631963196419641966196619681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020002001200120022002200320032004200420052005200620062007200720082008200920092010201020112011201220122013201320142014201520152016201620172017201820182019201920202020Technical Household Variables -- HOUSEHOLDIPUMS sample identifierSAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
032197001Argentina 1970032198001Argentina 1980032199101Argentina 1991032200101Argentina 2001032201001Argentina 2010051200101Armenia 2001051201101Armenia 2011040197101Austria 1971040198101Austria 1981040199101Austria 1991040200101Austria 2001040201101Austria 2011050199101Bangladesh 1991050200101Bangladesh 2001050201101Bangladesh 2011112199901Belarus 1999112200901Belarus 2009204197901Benin 1979204199201Benin 1992204200201Benin 2002204201301Benin 2013068197601Bolivia 1976068199201Bolivia 1992068200101Bolivia 2001068201201Bolivia 2012072198101Botswana 1981072199101Botswana 1991072200101Botswana 2001072201101Botswana 2011076196001Brazil 1960076197001Brazil 1970076198001Brazil 1980076199101Brazil 1991076200001Brazil 2000076201001Brazil 2010854198501Burkina Faso 1985854199601Burkina Faso 1996854200601Burkina Faso 2006116199801Cambodia 1998116200401Cambodia 2004116200801Cambodia 2008116201301Cambodia 2013116201901Cambodia 2019120197601Cameroon 1976120198701Cameroon 1987120200501Cameroon 2005124185201Canada 1852124187101Canada 1871124188101Canada 1881124189101Canada 1891124190101Canada 1901124191101Canada 1911124197101Canada 1971124198101Canada 1981124199101Canada 1991124200101Canada 2001124201101Canada 2011152196001Chile 1960152197001Chile 1970152198201Chile 1982152199201Chile 1992152200201Chile 2002152201701Chile 2017156198201China 1982156199001China 1990156200001China 2000170196401Colombia 1964170197301Colombia 1973170198501Colombia 1985170199301Colombia 1993170200501Colombia 2005188196301Costa Rica 1963188197301Costa Rica 1973188198401Costa Rica 1984188200001Costa Rica 2000188201101Costa Rica 2011192200201Cuba 2002192201201Cuba 2012208178701Denmark 1787208180101Denmark 1801208184501Denmark 1845208188001Denmark 1880208188501Denmark 1885214196001Dominican Republic 1960214197001Dominican Republic 1970214198101Dominican Republic 1981214200201Dominican Republic 2002214201001Dominican Republic 2010218196201Ecuador 1962218197401Ecuador 1974218198201Ecuador 1982218199001Ecuador 1990218200101Ecuador 2001218201001Ecuador 2010818184801Egypt 1848818186801Egypt 1868818198601Egypt 1986818199601Egypt 1996818200601Egypt 2006222199201El Salvador 1992222200701El Salvador 2007231198401Ethiopia 1984231199401Ethiopia 1994231200701Ethiopia 2007242196601Fiji 1966242197601Fiji 1976242198601Fiji 1986242199601Fiji 1996242200701Fiji 2007242201401Fiji 2014246201001Finland 2010250196201France 1962250196801France 1968250197501France 1975250198201France 1982250199001France 1990250199901France 1999250200601France 2006250201101France 2011276181901Germany 1819 (Mecklenburg)276197001Germany 1970 (West)276197101Germany 1971 (East)276198101Germany 1981 (East)276198701Germany 1987 (West)288198401Ghana 1984288200001Ghana 2000288201001Ghana 2010300197101Greece 1971300198101Greece 1981300199101Greece 1991300200101Greece 2001300201101Greece 2011320196401Guatemala 1964320197301Guatemala 1973320198101Guatemala 1981320199401Guatemala 1994320200201Guatemala 2002324198301Guinea 1983324199601Guinea 1996324201401Guinea 2014332197101Haiti 1971332198201Haiti 1982332200301Haiti 2003340196101Honduras 1961340197401Honduras 1974340198801Honduras 1988340200101Honduras 2001340201301Honduras 2013348197001Hungary 1970348198001Hungary 1980348199001Hungary 1990348200101Hungary 2001348201101Hungary 2011352170301Iceland 1703352172901Iceland 1729352180101Iceland 1801352190101Iceland 1901352191001Iceland 1910356198341India 1983356198741India 1987356199341India 1993356199941India 1999356200441India 2004356200941India 2009360197101Indonesia 1971360197601Indonesia 1976360198001Indonesia 1980360198501Indonesia 1985360199001Indonesia 1990360199501Indonesia 1995360200001Indonesia 2000360200501Indonesia 2005360201001Indonesia 2010364200601Iran 2006364201101Iran 2011368199701Iraq 1997372190101Ireland 1901372191101Ireland 1911372197101Ireland 1971372197901Ireland 1979372198101Ireland 1981372198601Ireland 1986372199101Ireland 1991372199601Ireland 1996372200201Ireland 2002372200601Ireland 2006372201101Ireland 2011372201601Ireland 2016376197201Israel 1972376198301Israel 1983376199501Israel 1995376200801Israel 2008380200101Italy 2001380201101Italy 2011380201121Italy 2011 Q1 LFS380201221Italy 2012 Q1 LFS380201321Italy 2013 Q1 LFS380201421Italy 2014 Q1 LFS380201521Italy 2015 Q1 LFS380201621Italy 2016 Q1 LFS380201721Italy 2017 Q1 LFS380201821Italy 2018 Q1 LFS380201921Italy 2019 Q1 LFS380202021Italy 2020 Q1 LFS384198801Côte d'Ivoire 1988384199801Côte d'Ivoire 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009404201901Kenya 2019417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008454201801Malawi 2018458197001Malaysia 1970458198001Malaysia 1980458199101Malaysia 1991458200001Malaysia 2000466198701Mali 1987466199801Mali 1998466200901Mali 2009480199001Mauritius 1990480200001Mauritius 2000480201101Mauritius 2011484196001Mexico 1960484197001Mexico 1970484199001Mexico 1990484199501Mexico 1995484200001Mexico 2000484200501Mexico 2005484201001Mexico 2010484201501Mexico 2015484202001Mexico 2020484200521Mexico 2005 Q1 LFS484200522Mexico 2005 Q2 LFS484200523Mexico 2005 Q3 LFS484200524Mexico 2005 Q4 LFS484200621Mexico 2006 Q1 LFS484200622Mexico 2006 Q2 LFS484200623Mexico 2006 Q3 LFS484200624Mexico 2006 Q4 LFS484200721Mexico 2007 Q1 LFS484200722Mexico 2007 Q2 LFS484200723Mexico 2007 Q3 LFS484200724Mexico 2007 Q4 LFS484200821Mexico 2008 Q1 LFS484200822Mexico 2008 Q2 LFS484200823Mexico 2008 Q3 LFS484200824Mexico 2008 Q4 LFS484200921Mexico 2009 Q1 LFS484200922Mexico 2009 Q2 LFS484200923Mexico 2009 Q3 LFS484200924Mexico 2009 Q4 LFS484201021Mexico 2010 Q1 LFS484201022Mexico 2010 Q2 LFS484201023Mexico 2010 Q3 LFS484201024Mexico 2010 Q4 LFS484201121Mexico 2011 Q1 LFS484201122Mexico 2011 Q2 LFS484201123Mexico 2011 Q3 LFS484201124Mexico 2011 Q4 LFS484201221Mexico 2012 Q1 LFS484201222Mexico 2012 Q2 LFS484201223Mexico 2012 Q3 LFS484201224Mexico 2012 Q4 LFS484201321Mexico 2013 Q1 LFS484201322Mexico 2013 Q2 LFS484201323Mexico 2013 Q3 LFS484201324Mexico 2013 Q4 LFS484201421Mexico 2014 Q1 LFS484201422Mexico 2014 Q2 LFS484201423Mexico 2014 Q3 LFS484201424Mexico 2014 Q4 LFS484201521Mexico 2015 Q1 LFS484201522Mexico 2015 Q2 LFS484201523Mexico 2015 Q3 LFS484201524Mexico 2015 Q4 LFS484201621Mexico 2016 Q1 LFS484201622Mexico 2016 Q2 LFS484201623Mexico 2016 Q3 LFS484201624Mexico 2016 Q4 LFS484201721Mexico 2017 Q1 LFS484201722Mexico 2017 Q2 LFS484201723Mexico 2017 Q3 LFS484201724Mexico 2017 Q4 LFS484201821Mexico 2018 Q1 LFS484201822Mexico 2018 Q2 LFS484201823Mexico 2018 Q3 LFS484201824Mexico 2018 Q4 LFS484201921Mexico 2019 Q1 LFS484201922Mexico 2019 Q2 LFS484201923Mexico 2019 Q3 LFS484201924Mexico 2019 Q4 LFS484202021Mexico 2020 Q1 LFS484202023Mexico 2020 Q3 LFS496198901Mongolia 1989496200001Mongolia 2000496201001Mongolia 2010496202001Mongolia 2020504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007508201701Mozambique 2017104201401Myanmar 2014524200101Nepal 2001524201101Nepal 2011528196001Netherlands 1960528197101Netherlands 1971528200101Netherlands 2001528201101Netherlands 2011558197101Nicaragua 1971558199501Nicaragua 1995558200501Nicaragua 2005566200621Nigeria 2006566200721Nigeria 2007566200821Nigeria 2008566200921Nigeria 2009566201021Nigeria 2010578180101Norway 1801578186501Norway 1865578187501Norway 1875578190001Norway 1900578191001Norway 1910586197301Pakistan 1973586198101Pakistan 1981586199801Pakistan 1998275199701Palestine 1997275200701Palestine 2007275201701Palestine 2017591196001Panama 1960591197001Panama 1970591198001Panama 1980591199001Panama 1990591200001Panama 2000591201001Panama 2010598198001Papua New Guinea 1980598199001Papua New Guinea 1990598200001Papua New Guinea 2000600196201Paraguay 1962600197201Paraguay 1972600198201Paraguay 1982600199201Paraguay 1992600200201Paraguay 2002604199301Peru 1993604200701Peru 2007604201701Peru 2017608199721Philippines 1997 Q1 LFS608199722Philippines 1997 Q2 LFS608199723Philippines 1997 Q3 LFS608199724Philippines 1997 Q4 LFS608199821Philippines 1998 Q1 LFS608199822Philippines 1998 Q2 LFS608199823Philippines 1998 Q3 LFS608199824Philippines 1998 Q4 LFS608199921Philippines 1999 Q1 LFS608199922Philippines 1999 Q2 LFS608199923Philippines 1999 Q3 LFS608199924Philippines 1999 Q4 LFS608200021Philippines 2000 Q1 LFS608200022Philippines 2000 Q2 LFS608200023Philippines 2000 Q3 LFS608200024Philippines 2000 Q4 LFS608200121Philippines 2001 Q1 LFS608200122Philippines 2001 Q2 LFS608200123Philippines 2001 Q3 LFS608200124Philippines 2001 Q4 LFS608200221Philippines 2002 Q1 LFS608200222Philippines 2002 Q2 LFS608200223Philippines 2002 Q3 LFS608200224Philippines 2002 Q4 LFS608200321Philippines 2003 Q1 LFS608200322Philippines 2003 Q2 LFS608200323Philippines 2003 Q3 LFS608200324Philippines 2003 Q4 LFS608200421Philippines 2004 Q1 LFS608200422Philippines 2004 Q2 LFS608200423Philippines 2004 Q3 LFS608200424Philippines 2004 Q4 LFS608200521Philippines 2005 Q1 LFS608200522Philippines 2005 Q2 LFS608200523Philippines 2005 Q3 LFS608200524Philippines 2005 Q4 LFS608200621Philippines 2006 Q1 LFS608200622Philippines 2006 Q2 LFS608200623Philippines 2006 Q3 LFS608200624Philippines 2006 Q4 LFS608200721Philippines 2007 Q1 LFS608200722Philippines 2007 Q2 LFS608200723Philippines 2007 Q3 LFS608200724Philippines 2007 Q4 LFS608200821Philippines 2008 Q1 LFS608200822Philippines 2008 Q2 LFS608200823Philippines 2008 Q3 LFS608200824Philippines 2008 Q4 LFS608200921Philippines 2009 Q1 LFS608200922Philippines 2009 Q2 LFS608200923Philippines 2009 Q3 LFS608200924Philippines 2009 Q4 LFS608201021Philippines 2010 Q1 LFS608201022Philippines 2010 Q2 LFS608201023Philippines 2010 Q3 LFS608201024Philippines 2010 Q4 LFS608201121Philippines 2011 Q1 LFS608201122Philippines 2011 Q2 LFS608201123Philippines 2011 Q3 LFS608201124Philippines 2011 Q4 LFS608201221Philippines 2012 Q1 LFS608201222Philippines 2012 Q2 LFS608201223Philippines 2012 Q3 LFS608201224Philippines 2012 Q4 LFS608201321Philippines 2013 Q1 LFS608201322Philippines 2013 Q2 LFS608201323Philippines 2013 Q3 LFS608201324Philippines 2013 Q4 LFS608201421Philippines 2014 Q1 LFS608201422Philippines 2014 Q2 LFS608201423Philippines 2014 Q3 LFS608201424Philippines 2014 Q4 LFS608201521Philippines 2015 Q1 LFS608201522Philippines 2015 Q2 LFS608201523Philippines 2015 Q3 LFS608201524Philippines 2015 Q4 LFS608201621Philippines 2016 Q1 LFS608201622Philippines 2016 Q2 LFS608201623Philippines 2016 Q3 LFS608201624Philippines 2016 Q4 LFS608201721Philippines 2017 Q1 LFS608201722Philippines 2017 Q2 LFS608201723Philippines 2017 Q3 LFS608201724Philippines 2017 Q4 LFS608201821Philippines 2018 Q1 LFS608201822Philippines 2018 Q2 LFS608201823Philippines 2018 Q3 LFS608201824Philippines 2018 Q4 LFS608201921Philippines 2019 Q1 LFS608201922Philippines 2019 Q2 LFS608201923Philippines 2019 Q3 LFS608199001Philippines 1990608199501Philippines 1995608200001Philippines 2000608201001Philippines 2010616197801Poland 1978616198801Poland 1988616200201Poland 2002616201101Poland 2011620198101Portugal 1981620199101Portugal 1991620200101Portugal 2001620201101Portugal 2011630197001Puerto Rico 1970630198001Puerto Rico 1980630199001Puerto Rico 1990630200001Puerto Rico 2000630200501Puerto Rico 2005630201001Puerto Rico 2010630201501Puerto Rico 2015630202001Puerto Rico 2020642197701Romania 1977642199201Romania 1992642200201Romania 2002642201101Romania 2011643200201Russia 2002643201001Russia 2010646199101Rwanda 1991646200201Rwanda 2002646201201Rwanda 2012662198001Saint Lucia 1980662199101Saint Lucia 1991686198801Senegal 1988686200201Senegal 2002686201301Senegal 2013694200401Sierra Leone 2004694201501Sierra Leone 2015703199101Slovak Republic 1991703200101Slovak Republic 2001703201101Slovak Republic 2011705200201Slovenia 2002710199601South Africa 1996710200101South Africa 2001710200701South Africa 2007710201101South Africa 2011710201601South Africa 2016728200801South Sudan 2008724198101Spain 1981724199101Spain 1991724200101Spain 2001724201101Spain 2011724200521Spain 2005 Q1 LFS724200522Spain 2005 Q2 LFS724200523Spain 2005 Q3 LFS724200524Spain 2005 Q4 LFS724200621Spain 2006 Q1 LFS724200622Spain 2006 Q2 LFS724200623Spain 2006 Q3 LFS724200624Spain 2006 Q4 LFS724200721Spain 2007 Q1 LFS724200722Spain 2007 Q2 LFS724200723Spain 2007 Q3 LFS724200724Spain 2007 Q4 LFS724200821Spain 2008 Q1 LFS724200822Spain 2008 Q2 LFS724200823Spain 2008 Q3 LFS724200824Spain 2008 Q4 LFS724200921Spain 2009 Q1 LFS724200922Spain 2009 Q2 LFS724200923Spain 2009 Q3 LFS724200924Spain 2009 Q4 LFS724201021Spain 2010 Q1 LFS724201022Spain 2010 Q2 LFS724201023Spain 2010 Q3 LFS724201024Spain 2010 Q4 LFS724201121Spain 2011 Q1 LFS724201122Spain 2011 Q2 LFS724201123Spain 2011 Q3 LFS724201124Spain 2011 Q4 LFS724201221Spain 2012 Q1 LFS724201222Spain 2012 Q2 LFS724201223Spain 2012 Q3 LFS724201224Spain 2012 Q4 LFS724201321Spain 2013 Q1 LFS724201322Spain 2013 Q2 LFS724201323Spain 2013 Q3 LFS724201324Spain 2013 Q4 LFS724201421Spain 2014 Q1 LFS724201422Spain 2014 Q2 LFS724201423Spain 2014 Q3 LFS724201424Spain 2014 Q4 LFS724201521Spain 2015 Q1 LFS724201522Spain 2015 Q2 LFS724201523Spain 2015 Q3 LFS724201524Spain 2015 Q4 LFS724201621Spain 2016 Q1 LFS724201622Spain 2016 Q2 LFS724201623Spain 2016 Q3 LFS724201624Spain 2016 Q4 LFS724201721Spain 2017 Q1 LFS724201722Spain 2017 Q2 LFS724201723Spain 2017 Q3 LFS724201724Spain 2017 Q4 LFS724201821Spain 2018 Q1 LFS724201822Spain 2018 Q2 LFS724201823Spain 2018 Q3 LFS724201824Spain 2018 Q4 LFS724201921Spain 2019 Q1 LFS724201922Spain 2019 Q2 LFS724201923Spain 2019 Q3 LFS724201924Spain 2019 Q4 LFS724202021Spain 2020 Q1 LFS724202022Spain 2020 Q2 LFS724202023Spain 2020 Q3 LFS724202024Spain 2020 Q4 LFS729200801Sudan 2008740200401Suriname 2004740201201Suriname 2012752188001Sweden 1880752189001Sweden 1890752190001Sweden 1900752191001Sweden 1910756197001Switzerland 1970756198001Switzerland 1980756199001Switzerland 1990756200001Switzerland 2000756201101Switzerland 2011834198801Tanzania 1988834200201Tanzania 2002834201201Tanzania 2012764197001Thailand 1970764198001Thailand 1980764199001Thailand 1990764200001Thailand 2000768196001Togo 1960768197001Togo 1970768201001Togo 2010780197001Trinidad and Tobago 1970780198001Trinidad and Tobago 1980780199001Trinidad and Tobago 1990780200001Trinidad and Tobago 2000780201101Trinidad and Tobago 2011792198501Turkey 1985792199001Turkey 1990792200001Turkey 2000800199101Uganda 1991800200201Uganda 2002800201401Uganda 2014804200101Ukraine 2001826185101United Kingdom 1851 (England and Wales)826185102United Kingdom 1851 (Scotland)826185103United Kingdom 1851 (2% sample)826186101United Kingdom 1861 (England and Wales)826186102United Kingdom 1861 (Scotland)826187101United Kingdom 1871 (Scotland)826188101United Kingdom 1881 (England and Wales)826188102United Kingdom 1881 (Scotland)826189101United Kingdom 1891 (England and Wales)826189102United Kingdom 1891 (Scotland)826190101United Kingdom 1901 (England and Wales)826190102United Kingdom 1901 (Scotland)826191101United Kingdom 1911 (England and Wales)826196101United Kingdom 1961826197101United Kingdom 1971826199101United Kingdom 1991826200101United Kingdom 2001840185001United States 1850 (100%)840185002United States 1850 (1%)840186001United States 1860 (1%)840187001United States 1870 (1%)840188001United States 1880 (100%)840188002United States 1880 (10%)840190001United States 1900 (5%)840191001United States 1910 (1%)840196001United States 1960840197001United States 1970840198001United States 1980840199001United States 1990840200001United States 2000840200501United States 2005840201001United States 2010840201501United States 2015840202001United States 2020858196301Uruguay 1963858196302Uruguay 1963 (full count)858197501Uruguay 1975858197502Uruguay 1975 (full count)858198501Uruguay 1985858198502Uruguay 1985 (full count)858199601Uruguay 1996858199602Uruguay 1996 (full count)858200621Uruguay 2006858201101Uruguay 2011858201102Uruguay 2011 (full count)862197101Venezuela 1971862198101Venezuela 1981862199001Venezuela 1990862200101Venezuela 2001704198901Vietnam 1989704199901Vietnam 1999704200901Vietnam 2009704201901Vietnam 2019894199001Zambia 1990894200001Zambia 2000894201001Zambia 2010716201201Zimbabwe 2012Technical Household Variables -- HOUSEHOLDHousehold serial numberSERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL.SERIAL is a 10-digit numeric variable.
The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.Technical Household Variables -- HOUSEHOLDNumber of person records in the householdPERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.PERSONS is a 4-digit numeric variable.Technical Household Variables -- HOUSEHOLDHousehold weightHHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Household Variables -- HOUSEHOLDSubsample numberSUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.001st 1% subsample012nd 1% subsample023rd 1% subsample034th 1% subsample045th 1% subsample056th 1% subsample067th 1% subsample078th 1% subsample089th 1% subsample0910th 1% subsample1011th 1% subsample1112th 1% subsample1213th 1% subsample1314th 1% subsample1415th 1% subsample1516th 1% subsample1617th 1% subsample1718th 1% subsample1819th 1% subsample1920th 1% subsample2021st 1% subsample2122nd 1% subsample2223rd 1% subsample2324th 1% subsample2425th 1% subsample2526th 1% subsample2627th 1% subsample2728th 1% subsample2829th 1% subsample2930th 1% subsample3031st 1% subsample3132nd 1% subsample3233rd 1% subsample3334th 1% subsample3435th 1% subsample3536th 1% subsample3637th 1% subsample3738th 1% subsample3839th 1% subsample3940th 1% subsample4041st 1% subsample4142nd 1% subsample4243rd 1% subsample4344th 1% subsample4445th 1% subsample4546th 1% subsample4647th 1% subsample4748th 1% subsample4849th 1% subsample4950th 1% subsample5051st 1% subsample5152nd 1% subsample5253rd 1% subsample5354th 1% subsample5455th 1% subsample5556th 1% subsample5657th 1% subsample5758th 1% subsample5859th 1% subsample5960th 1% subsample6061st 1% subsample6162nd 1% subsample6263rd 1% subsample6364th 1% subsample6465th 1% subsample6566th 1% subsample6667th 1% subsample6768th 1% subsample6869th 1% subsample6970th 1% subsample7071st 1% subsample7172nd 1% subsample7273rd 1% subsample7374th 1% subsample7475th 1% subsample7576th 1% subsample7677th 1% subsample7778th 1% subsample7879th 1% subsample7980th 1% subsample8081st 1% subsample8182nd 1% subsample8283rd 1% subsample8384th 1% subsample8485th 1% subsample8586th 1% subsample8687th 1% subsample8788th 1% subsample8889th 1% subsample8990th 1% subsample9091st 1% subsample9192nd 1% subsample9293rd 1% subsample9394th 1% subsample9495th 1% subsample9596th 1% subsample9697th 1% subsample9798th 1% subsample9899th 1% subsample99100th 1% subsampleTechnical Household Variables -- HOUSEHOLDStrata identifierThis variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.STRATA is a 12-digit numeric variable.Technical Household Variables -- HOUSEHOLDGroup quarters (collective dwelling) statusGQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.
Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.00Vacant10Households20Group quarters (collective), n.s.21Institutions22Other group quarters291-person unit created by splitting large household99Unknown/group quarters not identifiedGroup Quarters Variables -- 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 -- HOUSEHOLDNomenclature of Territorial Units for Statistics 1, EuropeENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification.
The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.
Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.0101AT1 / Ostösterreich0102AT2 / Südösterreich0103AT3 / Westösterreich0601DE1 / Baden-Württemberg0602DE2 / Bayern0603DE3 / Berlin0604DE4 / Brandenburg0605DE5 / Bremen0606DE6 / Hamburg0607DE7 / Hessen0608DE8 / Mecklenburg-Vorpommern0609DE9 / Niedersachsen0610DEA / Nordrhein-Westfalen0611DEB / Rheinland-Pfalz0612DEC / Saarland0613DED / Sachsen0614DEE / Sachsen-Anhalt0615DEF / Schleswig-Holstein0616DEG / Thüringen0901ES1 / Noroeste0902ES2 / Noreste0903ES3 / Comunidad de Madrid0904ES4 / Centro (E)0905ES5 / Este0906ES6 / Sur0907ES7 / Canarias0909ES / Unknown1101FR1 / Île de France1102FR2 / Bassin Parisien1103FR3 / Nord - Pas-de-Calais1104FR4 / Est1105FR5 / Ouest1106FR6 / Sud-Ouest1107FR7 / Centre-Est1108FR8 / Méditerranée1109FR9 / Département d’Outre-Mer1199FR99 / Unknown1201EL1 / Voreia Ellada1202EL2 / Kentriki Ellada1203EL3 / Attiki1204EL4 / Nisia Aigaiou, Kriti1400IE0 / Republic of Ireland1503ITC / Nord-Ovest1506ITF / Sud1507ITG / Isole1508ITH / Nord-Est1509ITI / Centro2101PL1 / Centralny2102PL2 / Południowy2103PL3 / Wschodni2104PL4 / Północno-zachodni2105PL5 / Południowo-zachodni2106PL6 / Północny2201PT1 / Continente2202PT2 / Região Autónoma dos Açores2203PT3 / Região Autónoma da Madeira2301RO1 / Macroregiunea Unu2302RO2 / Macroregiunea Doi2303RO3 / Macroregiunea Trei2304RO4 / Macroregiunea Patru2501SI0 / Slovenia2600SK0 / Slovensko2701UKC / North East (England)2702UKD / North West (England)2703UKE / Yorkshire and the Humber (England)2704UKF / East Midlands (England)2705UKG / West Midlands (England)2706UKH / East of England (England)2707UKI / LONDON (England)2708UKJ / South East (England)2709UKK / South West (England)2710UKL / WALES2711UKM / SCOTLAND2712UKN / NORTHERN IRELAND3400CH0/Switzerland3901TR1 / Istanbul3902TR2 / Bati Marmara3903TR3 / Ege3904TR4 / Dogu Marmara3905TR5 / Bati Anadolu3906TR6 / Akdeniz3907TR7 / Orta Anadolu3908TR8 / Bati Karadeniz3909TR9 / Dogu Karadeniz3911TRA / Kuzeydogu Anadolu3912TRB / Ortadogu Anadolu3913TRC / Güneydogu Anadolu9999UNKNOWNGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 2, EuropeENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat.
The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.0111AT11 / Burgenland0112AT12 / Niederösterreich0113AT13 / Wien0121AT21 / Kärnten0122AT22 / Steiermark0131AT31 / Oberösterreich0132AT32 / Salzburg0133AT33 / Tirol0134AT34 / Vorarlberg0911ES11 / Galicia0912ES12 / Principado de Asturias0913ES13 / Cantabria0921ES21 / País Vasco0922ES22 / Comunidad Foral de Navarra0923ES23 / La Rioja0924ES24 / Aragón0930ES30 / Comunidad de Madrid0941ES41 / Castilla y León0942ES42 / Castilla-La Mancha0943ES43 / Extremadura0951ES51 / Cataluña0952ES52 / Comunidad Valenciana0953ES53 / Illes Balears0961ES61 / Andalucía0962ES62 / Región de Murcia0963ES63 / Ciudad Autónoma de Ceuta0964ES64 / Ciudad Autónoma de Melilla0970ES70 / Canarias0999ES / Unknown1110FR10 / Île de France1121FR21 / Champagne-Ardenne1122FR22 / Picardie1123FR23 / Haute-Normandie1124FR24 / Centre1125FR25 / Basse-Normandie1126FR26 / Bourgogne1130FR30 / Nord-Pas-de-Calais1141FR41 / Lorraine1142FR42 / Alsace1143FR43 / Franche-Comté1151FR51 / Pays de la Loire1152FR52 / Bretagne1153FR53 / Poitou-Charentes1161FR61 / Aquitaine1162FR62 / Midi-Pyrénées1163FR63 / Limousin1171FR71 / Rhône-Alpes1172FR72 / Auvergne1181FR81 / Lanquedoc-Roussillon1182FR82 / Provence-Alpes-Côte d'Azur1183FR83 / Corse1191FR91 / Guadeloupe1192FR92 / Martinique1193FR93 / Guyane1194FR94 / Réunion1199FR99 / Unknown1211EL11 / Anatoliki Makedonia, Thraki1212EL12 / Kentriki Makedonia1213EL13 / Dytiki Makedonia1214EL14 / Thessalia1221EL21 / Ipeiros1222EL22 / Ionia Nisia1223EL23 / Dytiki Ellada1224EL24 / Sterea Ellada1225EL25 / Peloponnisos1230EL30 / Attiki1241EL41 / Voreio Aigaio1242EL42 / Notio Aigaio1243EL43 / Kriti1401IE01 / Border, Midland and Western1402IE02 / Southern and Eastern1531ITC1 / Piemonte + ITC2 / Valle d'Aosta1533ITC3 / Liguria1534ITC4 /Lombardia1561ITF1 / Abruzzo1562ITF2 / Molise1563ITF3 / Campania1564ITF4 / Puglia1565ITF5 / Basilicata1566ITF6 / Calabria1571ITG1 / Sicilia1572ITG2 / Sardegna1581ITH1 / Bolzano-Bozen + ITH2 / Trento1583ITH3 / Veneto1584ITH4 / Friuli-Venezia Giulia1585ITH5 / Emilia-Romagna1591ITI1 / Toscana1592ITI2 / Umbria1593ITI3 / Marche1594ITI4 / Lazio2111PL11 / Łódzkie2112PL12 / Mazowieckie2121PL21 / Małopolskie2122PL22 / Śląskie2131PL31 / Lubelskie2132PL32 / Podkarpackie2133PL33 / Świętokrzyskie2134PL34 / Podlaskie2141PL41 / Wielkopolskie2142PL42 / Zachodniopomorskie2143PL43 / Lubuskie2151PL51 / Dolnośląskie2152PL52 / Opolskie2161PL61 / Kujawsko-Pomorskie2162PL62 / Warmińsko-Mazurskie2163PL63 / Pomorskie2211PT11 / Norte2215PT15 / Algarve2216PT16 / Centro (P)2217PT17 / Lisboa2218PT18 / Alentejo2220PT20 / Região Autónoma dos Açores2230PT30 / Região Autónoma da Madeira2311RO11 / Nord-Vest2312RO12 / Centru2321RO21 / Nord-Est2322RO22 / Sud-Est2331RO31 / Sud - Muntenia2332RO32 / Bucuresti - Ilfov2341RO41 / Sud-Vest Oltenia2342RO42 / Vest2501SI01 / Vzhodna Slovenija2502SI02 / Zahodna Slovenija2599SI / Unknown2601SK01 / Bratislavský kraj2602SK02 / Západné Slovensko2603SK03 / Stredné Slovensko2604SK04 / Východné Slovensko3401CH01 / Région Lémanique3402CH02 / Espace Mittelland3403CH03 / Nordwestschweiz3404CH04 / Zurich3405CH05 / Ostschweiz3406CH06 / Zentralschweiz3407CH07 / Ticino3910TR10 / Istanbul3921TR21 / Tekirdag, Edirne, Kirklareli3922TR22 / Balikesir, Çanakkale3931TR31 / Izmir3932TR32 / Aydin, Denizli, Mugla3933TR33 / Manisa, Afyonkarahisar, Kütahya, Usak3941TR41 / Bursa, Eskisehir, Bilecik3942TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova3951TR51 / Ankara3952TR52 / Konya, Karaman3961TR61 / Antalya, Isparta, Burdur3962TR62 / Adana, Mersin3963TR63 / Hatay, Kahramanmaras, Osmaniye3971TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir3972TR72 / Kayseri, Sivas, Yozgat3981TR81 / Zonguldak, Karabük, Bartin3982TR82 / Kastamonu, Çankiri, Sinop3983TR83 / Samsun, Tokat, Çorum, Amasya3990TR90 / Trabzon3991TRA1 / Erzurum, Erzincan, Bayburt3992TRA2 / Agri, Kars, Igdir, Ardahan3993TRB1 / Malatya, Elazig, Bingöl, Tunceli3994TRB2 / Van, Mus, Bitlis, Hakkari3995TRC1 / Gaziantep, Adiyaman, Kilis3996TRC2 / Sanliurfa, Diyarbakir3997TRC3 / Mardin, Batman, Sirnak, SiirtGeography: Global Variables -- HOUSEHOLDNomenclature of Territorial Units for Statistics 3, EuropeENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
ENUTS3 corresponds to the 2010 version of NUTS3 released by Eurostat.
The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.01111AT111 / Mittelburgenland + AT113 / Südburgenland01112AT112 / Nordburgenland01121AT121 / Mostviertel-Eisenwurzen01122AT122 / Niederösterreich-Süd01123AT123 / Sankt Pölten01124AT124 / Waldviertel01125AT125 / Weinviertel01126AT126 / Wiener Umland/Nordteil01127AT127 / Wiener Umland/Südteil01130AT130 / Wien01211AT211 / Klagenfurt-Villach01212AT212 / Oberkärnten01213AT213 / Unterkärnten01221AT221 / Graz01222AT222 / Liezen01223AT223 / Östliche Obersteiermark01224AT224 / Oststeiermark01225AT225 / West- und Südsteiermark01226AT226 / Westliche Obersteiermark01311AT311 / Innviertel01312AT312 / Linz-Wels01313AT313 / Mühlviertel01314AT314 / Steyr-Kirchdorf01315AT315 / Traunviertel01321AT321 / Lungau + AT322 / Pinzgau-Pongau01323AT323 / Salzburg und Umgebung01331AT331 / Außerfern + AT334 / Tiroler Oberland01332AT332 / Innsbruck01333AT333 / Osttirol + AT335 / Tiroler Unterland01341AT341 / Bludenz-Bregenzer Wald01342AT342 / Rheintal-Bodenseegebiet09111ES111 / A Coruña09112ES112 / Lugo09113ES113 / Ourense09114ES114 / Pontevedra09120ES120 / Asturias09130ES130 / Cantabria09211ES211 / Álava09212ES212 / Guipúzcoa09213ES213 / Vizcaya09220ES220 / Navarra09230ES230 / La Rioja09241ES241 / Huesca09242ES242 / Teruel09243ES243 / Zaragoza09300ES300 / Madrid09411ES411 / Ávila09412ES412 / Burgos09413ES413 / León09414ES414 / Palencia09415ES415 / Salamanca09416ES416 / Segovia09417ES417 / Soria09418ES418 / Valladolid09419ES419 / Zamora09421ES421 / Albacete09422ES422 / Ciudad Real09423ES423 / Cuenca09424ES424 / Guadalajara09425ES425 / Toledo09431ES431 / Badajoz09432ES432 / Cáceres09511ES511 / Barcelona09512ES512 / Girona09513ES513 / Lleida09514ES514 / Tarragona09521ES521 / Alicante/Alacant09522ES522 / Castellón/Castelló09523ES523 / Valencia/València09532ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera09611ES611 / Almería09612ES612 / Cádiz09613ES613 / Córdoba09614ES614 / Granada09615ES615 / Huelva09616ES616 / Jaén09617ES617 / Málaga09618ES618 / Sevilla09620ES620 / Murcia09630ES630 / Ceuta09640ES640 / Melilla09705ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote09709ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro09999ES / Unknown12111EL111 / Evros12112EL112 / Xanthi12113EL113 / Rodopi12114EL114 / Drama12115EL115 / Kavala12121EL121 / Imathia12122EL122 / Thessaloniki12123EL123 / Kilkis12124EL124 / Pella12125EL125 / Pieria12126EL126 / Serres12127EL127 / Chalkidiki and Aghion Oros12131EL131 / Grevena12132EL132 / Kastoria12133EL133 / Kozani12134EL134 / Florina12141EL141 / Karditsa12142EL142 / Larisa12143EL143 / Magnisia12144EL144 / Trikala12211EL211 / Arta12212EL212 / Thesprotia12213EL213 / Ioannina12214EL214 / Preveza12221EL221 / Zakynthos12222EL222 / Kerkyra12223EL223 / Kefallinia12224EL224 / Lefkada12231EL231 / Aitoloakarnania12232EL232 / Achaia12233EL233 / Ilia12241EL241 / Voiotia12242EL242 / Evvoia12243EL243 / Evrytania12244EL244 / Fthiotida12245EL245 / Fokida12251EL251 / Argolida12252EL252 / Arkadia12253EL253 / Korinthia12254EL254 / Lakonia12255EL255 / Messinia12300EL300 / Attiki12411EL411 / Lesvos12412EL412 / Samos12413EL413 / Chios12421EL421 / Dodekanissos12422EL422 / Kyklades12431EL431 / Iraklio12432EL432 / Lasithi12433EL433 / Rethymni12434EL434 / Chania14011IE011 / Border14012IE012 / Midlands14013IE013 / West14021IE021 / Dublin14022IE022 / Mid-East14023IE023 / Mid-West14024IE024 / South-East14025IE025 / South-West15311ITC11 / Torino15312ITC12 / Vercelli15313ITC13 / Biella15314ITC14 / Verbano-Cusio-Ossola15315ITC15 / Novara15316ITC16 / Cuneo15317ITC17 / Asti15318ITC18 / Alessandria15320ITC20 / Aosta15331ITC31 / Imperia15332ITC32 / Savona15333ITC33 / Genova15334ITC34 / La Spezia15341ITC41 / Varese15342ITC42 / Como15343ITC43 / Lecco15344ITC44 / Sondrio15346ITC46 / Bergamo15347ITC47 / Brescia15348ITC48 / Pavia15349ITC49 / Lodi15350ITC4A / Cremona15351ITC4B / Mantova15352ITC4C / Milano15353ITC4D / Monza e della Brianza15611ITF11 / L'Aquila15612ITF12 / Teramo15613ITF13 / Pescara15614ITF14 / Chieti15621ITF21 / Isernia15622ITF22 / Campobasso15631ITF31 / Caserta15632ITF32 / Benevento15633ITF33 / Napoli15634ITF34 / Avellino15635ITF35 / Salerno15643ITF43 / Taranto15644ITF44 / Brindisi15645ITF45 / Lecce15646ITF46 / Foggia15647ITF47 / Bari15648ITF48 / Barletta-Andria-Trani15651ITF51 / Potenza15652ITF52 / Matera15661ITF61 / Cosenza15662ITF62 / Crotone15663ITF63 / Catanzaro15664ITF64 / Vibo Valentia15665ITF65 / Reggio di Calabria15711ITG11 / Trapani15712ITG12 / Palermo15713ITG13 / Messina15714ITG14 / Agrigento15715ITG15 / Caltanissetta15716ITG16 / Enna15717ITG17 / Catania15718ITG18 / Ragusa15719ITG19 / Siracusa15733Sud Sardegna15725ITG25 / Sassari15726ITG26 / Nuoro15727ITG27 / Cagliari15728ITG28 / Oristano15729ITG29 / Olbia-tempio15730ITG2A / Ogliastra15731ITG2B / Medio-campidano15732ITG2C / Carbonia-Iglesias15810ITH10 / Bolzano-Bozen15820ITH20 / Trento15831ITH31 / Verona15832ITH32 / Vicenza15833ITH33 / Belluno15834ITH34 / Treviso15835ITH35 / Venezia15836ITH36 / Padova15837ITH37 / Rovigo15841ITH41 / Pordenone15842ITH42 / Udine15843ITH43 / Gorizia15844ITH44 / Trieste15851ITH51 / Piacenza15852ITH52 / Parma15853ITH53 / Reggio nell'Emilia15854ITH54 / Modena15855ITH55 / Bologna15856ITH56 / Ferrara15857ITH57 / Ravenna15858ITH58 / Forlì-Cesena15859ITH59 / Rimini15911ITI11 / Massa-Carrara15912ITI12 / Lucca15913ITI13 / Pistoia15914ITI14 / Firenze15915ITI15 / Prato15916ITI16 / Livorno15917ITI17 / Pisa15918ITI18 / Arezzo15919ITI19 / Siena15920ITI1A / ELosseto15921ITI21 / Perugia15922ITI22 / Terni15931ITI31 / Pesaro e Urbino15932ITI32 / Ancona15933ITI33 / Macerata15934ITI34 / Ascoli Piceno15935ITI35 / Fermo15941ITI41 / Viterbo15942ITI42 / Rieti15943ITI43 / Roma15944ITI44 / Latina15945ITI45 / Frosinone22111PT111 / Minho-Lima22112PT112 / Cávado22113PT113 / Ave22114PT114 / ELande Porto22115PT115 / Tâmega22116PT116 / Entre Douro e Vouga22117PT117 / Douro22118PT118 / Alto Trás-os-Montes22150PT150 / Algarve22161PT161 / Baixo Vouga22162PT162 / Baixo Mondego22163PT163 / Pinhal Litoral22165PT165 / Dão-Lafões22166PT16B / Oeste22167PT16C / Médio Tejo22169PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira22171PT171 / Grande Lisboa22172PT172 / Península de Setúbal22185PT185 / Lezíria do Tejo22189PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo22200PT200 / Região Autónoma dos Açores22300PT300 / Região Autónoma da Madeira23111RO111 / Bihor23112RO112 / Bistrita Nasaud23113RO113 / Cluj23114RO114 / Maramures23115RO115 / Satu Mare23116RO116 / Salaj23121RO121 / Alba23122RO122 / Brasov23123RO123 / Covasna23124RO124 / Harghita23125RO125 / Mures23126RO126 / Sibiu23211RO211 / Bacau23212RO212 / Botosani23213RO213 / Iasi23214RO214 / Neamt23215RO215 / Suceava23216RO216 / Vaslui23221RO221 / Braila23222RO222 / Buzau23223RO223 / Constanta23224RO224 / Galati23225RO225 / Tulcea23226RO226 / Vrancea23311RO311 / Arges23312RO312 / Calarasi23313RO313 / Dimbovita23314RO314 / Giurgiu23315RO315 / Ialomita23316RO316 / Prahova23317RO317 / Teleorman23321RO321 / Bucuresti23322RO322 / Ilfov23411RO411 / Dolj23412RO412 / Gorj23413RO413 / Mehedinti23414RO414 / Olt23415RO415 / Valcea23421RO421 / Arad23422RO422 / Caras Severin23423RO423 / Hunedoara23424RO424 / Timis25011SI011 / Pomurska25012SI012 / Podravska25013SI013 / Koroka25014SI014 / Savinjska25015SI015 / Zasavska25016SI016 / Spodnjeposavska25017SI017 / Jugovzhodna Slovenija25018SI018 / Notranjsko-kraka25021SI021 / Osrednjeslovenska25022SI022 / Gorenjska25023SI023 / Gorika25024SI024 / Obalno-kraka25999SI / Unknown26010SK010 / Bratislavský kraj26021SK021 / Trnavský kraj26022SK022 / Trenčiansky kraj26023SK023 / Nitriansky kraj26031SK031 / Žilinský kraj26032SK032 / Banskobystrický kraj26041SK041 / Prešovský kraj26042SK042 / Košický kraj34011CH011 / Vaud34012CH012 / Valais34013CH013 / Geneva34021CH021 / Bern34022CH022 / Freiburg34023CH023 / Solothurn34024CH024 / Neuchatel34025CH025 / Jura34031CH031 / Basel-Stadt34032CH032 / Basel-Landschaft34033CH033 / Aargau34040CH040 / Zurich34051CH051 / Glarus34052CH052 / Schaffhausen34053CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden34055CH055 / St. Gallen34056CH056 / Graubundun34057CH057 / Thurgau34061CH061 / Luzern34062CH062 / Uri34063CH063 / Schwyz34064CH064 / Obwalden34065CH065 / Nidwalden34066CH066 / Zug34070CH070 / Ticino39100TR100 / Istanbul39211TR211 / Tekirdag39212TR212 / Edirne39213TR213 / Kirklareli39221TR221 / Balikesir39222TR222 / Çanakkale39310TR310 / Izmir39321TR321 / Aydin39322TR322 / Denizli39323TR323 / Mugla39331TR331 / Manisa39332TR332 / Afyon39333TR333 / Kütahya39334TR334 / Usak39411TR411 / Bursa39412TR412 / Eskisehir39413TR413 / Bilecik39421TR421 / Kocaeli39422TR422 / Sakarya39423TR423 / Düzce39424TR424 / Bolu39425TR425 / Yalova39510TR510 / Ankara39521TR521 / Konya39522TR522 / Karaman39611TR611 / Antalya39612TR612 / Isparta39613TR613 / Burdur39621TR621 / Adana39622TR622 / Içel (Mersin)39631TR631 / Hatay39632TR632 / Kahramanmaras39633TR633 / Osmaniye39711TR711 / Kirikkale39712TR712 / Aksaray39713TR713 / Nigde39714TR714 / Nevsehir39715TR715 / Kirsehir39721TR721 / Kayseri39722TR722 / Sivas39723TR723 / Yozgat39811TR811 / Zonguldak39812TR812 / Karabük39813TR813 / Bartin39821TR821 / Kastamonu39822TR822 / Çankiri39823TR823 / Sinop39831TR831 / Samsun39832TR832 / Tokat39833TR833 / Çorum39834TR834 / Amasya39901TR901 / Trabzon39902TR902 / Ordu39903TR903 / Giresun39904TR904 / Rize39905TR905 / Artvin39906TR906 / Gümüshane39910TRA11 / Erzurum39911TRA12 / Erzincan39912TRA13 / Bayburt39921TRA21 / Agri39922TRA22 / Kars39923TRA23 / Igdir39924TRA24 / Ardahan39931TRB11 / Malatya39932TRB12 / Elazig39933TRB13 / Bingöl39934TRB14 / Tunceli39941TRB21 / Van39942TRB22 / Mus39943TRB23 / Bitlis39944TRB24 / Hakkari39951TRC11 / Gaziantep39952TRC12 / Adiyaman39953TRC13 / Kilis39961TRC21 / Sanliurfa39962TRC22 / Diyarbakir39971TRC31 / Mardin39972TRC32 / Batman39973TRC33 / Sirnak39974TRC34 / SiirtGeography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV1 unit, in persons per square kilometerPOPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable.
The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.POPDENSGEO1 is an 8-digit 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 -- HOUSEHOLDSwitzerland, Canton 1970 - 2011 [Level 1; consistent boundaries, GIS]GEO1_CH identifies the household's canton within Switzerland in all sample years. Cantons are the first level administrative units of the country. GEO1_CH is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_CH can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Switzerland 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.756001Zurich756002Bern756003Luzern756004Uri756005Schwyz756006Obwalden756007Nidwalden756008Glarus756009Zug756010Fribourg756011Solothurn756012Basel-Stadt756013Basel-Landschaft756014Schaffhausen756015Appenzell Ausserrhoden, Appenzell Innerrhoden756017St. Gallen756018Graubunden756019Aargau756020Thurgau756021Ticino756022Vaud756023Valais756024Neuchatel756025Geneve756026JuraGeography: O-Z Variables -- HOUSEHOLDSwitzerland, Canton 1990 [Level 1, GIS]GEO1_CH1990 identifies the household's canton within Switzerland in 1990. Cantons are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CH1990 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Switzerland 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.001Zurich002Bern003Luzern (Lucerne)004Uri005Schwyz006Obwalden (Obwald)007Nidwalden (Nidwald)008Glarus009Zug010Fribourg011Solothurn012Basel-Stadt (Basel-City)013Basel-Landschaft (Basel-Country)014Schaffhausen015Outer and Inner Rhodes017St. Gallen (St. Gall)018Graubundun (Grisons)019Aargau (Argovia)020Thurgau (Thurgovia)021Ticino022Vaud023Valais024Neuchatel025Geneva026JuraGeography: O-Z Variables -- HOUSEHOLDOwnership of dwelling [general version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.0NIU (not in universe)1Owned2Not owned9UnknownHousehold Economic Variables -- HOUSEHOLDOwnership of dwelling [detailed version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.000NIU (not in universe)100Owned110Owned, already paid120Owned, still paying130Owned, constructed140Owned, inherited190Owned, other191Owned, house192Owned, condominium193Apartment proprietor194Shared ownership200Not owned210Renting, not specified211Renting, government212Renting, local authority213Renting, parastatal214Renting, private215Renting, private company216Renting, individual217Renting, collective218Renting, joint state and individual219Renting, public subsidized220Renting, private subsidized221Renting, co-tenant222Renting, relative of tenant223Renting, cooperative224Renting, with a job or business225Renting, loan-backed habitation226Renting, mixed contract227Furnished dwelling228Sharecropping230Subletting231Rent to own239Renting, other240Occupied de facto/squatting250Free/usufruct (no cash rent)251Free, provided by employer252Free, without work or services253Free, provided by family or friend254Free, private255Free, public256Free, condemned257Free, other260Endowment, Waqf (Egypt historical)290Not owned, other999UnknownHousehold Economic Variables -- HOUSEHOLDFuel for heatingFUELHEAT indicates the main fuel source for heating the household.00NIU (not in universe)01None02Electricity03Fuel oil, kerosene, other liquid fuels04Kerosene/paraffin05Diesel06Gas07Bottled gas, in tank, liquified08Solid fuel09Coal10Wood11Wood or coal12Solar13Animal dung14Charcoal15Biofuel16Other17Multiple sources99UnknownUtilities Variables -- HOUSEHOLDHot water heaterHOTWATER indicates whether the housing unit had a water heater.0NIU (not in universe)1No2Yes9Unknown/missingAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDCentral heatingHEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none.0NIU (not in universe)1No heating2Central heating, not specified3Collective central heating4Individual central heating5Other heating, not central6Heating, unspecified7No central heating/heating unknown9UnknownAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNumber of roomsROOMS indicates the number of rooms occupied by the housing unit.00Part of a room; no rooms011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDKitchen or cooking facilitiesKITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.00NIU (not in universe)10No kitchen11Food is prepared in a non-kitchen room13Does not prepare food in the dwelling20Yes, have a kitchen21Kitchen located inside the dwelling22Indoor kitchen, exclusive use23Indoor kitchen, shared use24Exclusive use of kitchen (indoor/outdoor status not specified)25Shared use of kitchen with another household (indoor/outdoor status not specified)26Kitchen located outside the dwelling27Outdoor kitchen, exclusive use28Outdoor kitchen, shared use99Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDYear structure was builtBUILTYR indicates the year in which construction was completed on the building in which the household resides.0000NIU (not in universe)18701870 or earlier1871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209998Under construction9999UnknownDwelling Characteristics Variables -- HOUSEHOLDAge of structure, coded from intervalsAGESTRUCT2 gives the estimated age of the structure.000Less than 1 year old0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140141141142142143143144144145145146146147147148148149149150150151151152152153153154154155155156156157157158158159159160160161161162162163163164164165165166166167167168168169169170170171171172172173173174174175175176176177177178178179179180180181181182182183183184184185185186186187187188188189189190190191191192192193193194194195195196196197197198198199199200200+997Under construction998Unknown999NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDLiving area in square metersLIVEAREA describes the total living area in the dwelling inhabited by the household.LIVEAREA is a 3-digit numeric variable.
Codes000 = NIU (not in universe)
999 = Unknown
Top codes:Unless otherwise specified: 998+
Austria 1991-2001: 150+
Belarus 1999: 201+
Belarus 2009: 250+
Germany 1987: 361+
Hungary 2001: 260+
Hungary 2011: 301+
Iran 2006: 501+
Italy 2001: 150+
Italy 2011: 145+
Laos 2005: 200+
Philippines 1990-2010: 200+
Poland 2002: 200+
Romania 2002: 221+
Romania 2011: 500+
Slovenia 2002: 101+
Spain 1991: 181+
Spain 2001-2011: 900+
Switzerland 1980-1990: 400+
Switzerland 2000: 500+Dwelling Characteristics Variables -- HOUSEHOLDHousehold classificationHHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.00Vacant household01One-person household02Married/cohab couple, no children03Married/cohab couple with children04Single-parent family05Polygamous family06Extended family, relatives only07Composite household, family and non-relatives08Non-family household09Unclassified subfamily10Other relative or non-relative household11Group quarters99UnclassifiableConstructed Household Variables -- HOUSEHOLDNumber of families in householdNFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.0Vacant household11 family22 families33 families44 families55 families66 families77 families88 families99 or more familiesConstructed Household Variables -- HOUSEHOLDNumber of married couples in householdNCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).0No married couples in household11 couple22 couples33 couples44 couples55 couples66 couples77 couples88 couples99 or more couplesConstructed Household Variables -- HOUSEHOLDNumber of mothers in householdNMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).0No mothers in household11 mother22 mothers33 mothers44 mothers55 mothers66 mothers77 mothers88 mothers99 or more mothers in householdConstructed Household Variables -- HOUSEHOLDNumber of fathers in householdNFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).0No fathers in household11 father22 fathers33 fathers44 fathers55 fathers66 fathers77 fathers88 fathers99 or more fathers in householdConstructed Household Variables -- HOUSEHOLDHead's location in householdHEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households.HEADLOC is a 3-digit numeric variable.Constructed Household Variables -- HOUSEHOLDDwelling numberSwitzerland 1990: All householdsThis variable indicates the dwelling number.This is a 6-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdSwitzerland 1990: All householdsThis variable indicates the number of persons in the household.011022033044055066077088099101011111212131314141515Technical Household Variables -- HOUSEHOLDDwelling created by splitting apart a large dwelling or householdSwitzerland 1990: All householdsThis variable identifies dwelling created by splitting apart a larger dwelling or household.0No problem1Yes: households within a large dwelling were split apart into separate dwellings2Yes: persons within a large household were split apart into separate dwellingsTechnical Household Variables -- HOUSEHOLDNumber of persons in large household before it was splitSwitzerland 1990: All householdsThis variable indicates the number of persons in large household before it was split.00Not split1616171718182424282831314444Technical Household Variables -- HOUSEHOLDType of householdSwitzerland 1990: All householdsThis variable indicates the type of household.1000One person household2111Married couple, without children or additional persons2112Consensual union couple, without children or additional persons2121Married couple without children but with additional persons2122Consensual union couple without children but with additional persons2211Married couple with one or more child(ren) without additional persons2212Consensual union couple with one or more child(ren) without additional persons2221Married couple with one or more child(ren) and with additional persons2222Consensual union couple with one or more child(ren) and with additional persons2310Parent with children but without additional persons2320Parent with children and additional persons2411Single person with both parents without additional persons2412Single person with a parent without additional persons2421Single person with one or both parents and with additional persons3110Extended family household without additional persons3120Extended family household with additional persons3200Household of unrelated persons9100Institution9200Collective household9800Composite household [Sammelhaushalt]Constructed Household Variables -- HOUSEHOLDCategory of buildingSwitzerland 1990: All householdsThis variable indicates the category of building occupied with at least one private household, at least one collective household, or not connected with a real building. All households were classified according to the above categories.0Occupied building with at least 1 private household or dwelling, or emergency shelter with at least one private household1Occupied building with only one or several collective household8Household not connected with a real buildingGroup Quarters Variables -- HOUSEHOLDType of buildingSwitzerland 1990: Occupied buildings connected with a real building [discrepancies: none]This variable indicates the type of occupied buildings as one, two or multiple families house, other building, or emergency shelter.1One family house2Two families house3Multiple families house4Other building5Emergency shelter9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDYear structure was builtSwitzerland 1990: Occupied buildings (except emergency shelters) connected with a real building [discrepancies: none]This variable indicates the year when occupied building was built. Emergency shelters and households not connected with a real building were not counted.1Before 194621946-196031961-197041971-198051981-19909NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of floors (including ground floor)Switzerland 1990: Occupied buildings (except emergency shelters) connected with a real building [discrepancies: none]This variable indicates the number of floors (including ground floor) in occupied buildings.0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525+99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDType of ownership (building)Switzerland 1990: Occupied buildings (except emergency shelters) connected with a real building [discrepancies: none]This variable indicates the type of ownership of the occupied buildings.1Private person2Real estate or construction company3Housing cooperative4Foundation, association5Community, canton, federal, foreign country6Other type of ownership9NIU (not in universe)Household Economic Variables -- HOUSEHOLDType of heatingSwitzerland 1990: Occupied buildings (except emergency shelters) connected with a real building [discrepancies: none]This variable indicates the type of heating in the occupied buildings.1Single stove2Central heating for one floor3Central heating for one building4Central heating for several buildings5No heating9NIU (not in universe)Utilities Variables -- HOUSEHOLDHot waterSwitzerland 1990: Occupied buildings (except emergency shelters) connected with a real building [discrepancies: none]This variable indicates whether or not an occupied building has a warm water supply.1With warm water supply2Without warm water supply9NIU (not in universe)Utilities Variables -- HOUSEHOLDEnergy used for heatingSwitzerland 1990: Occupied buildings (except emergency shelters) connected with a real building [discrepancies: none]This variable indicates the type of energy used for heating occupied buildings.1Oil2Gas3Electricity4Wood, coal5Other9NIU (not in universe)Utilities Variables -- HOUSEHOLDEnergy used for hot waterSwitzerland 1990: Occupied buildings (except emergency shelters) with warm water supply[discrepancies: none]This variable indicates the type of energy used for heating water in occupied buildings.1Oil2Gas3Electricity4Wood, coal5Other9NIU (not in universe)Utilities Variables -- HOUSEHOLDNumber of roomsSwitzerland 1990: Occupied buildings (except emergency shelters) and private households [discrepancies: none]This variable indicates the number of rooms in occupied buildings.01102203304405506607708809910101111121213131414+99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of connected roomsSwitzerland 1990: Occupied buildings (except emergency shelters)and private households[discrepancies: none]This variable indicates the number of connected rooms in occupied buildings.01102203304405506607708809910101111121213131414+99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDArea (in square meters) of dwellingSwitzerland 1990: Occupied buildings (except emergency shelters)and private households[discrepancies: none]This variable indicates the area (in square meters) of the dwellings.This is a 4-digit numeric variable.
Codes10 = 10 or less.
400 = 400+.
9998 = Unknown.
9999 = NIU.Dwelling Characteristics Variables -- HOUSEHOLDKitchen or kitchenetteSwitzerland 1990: Occupied buildings (except emergency shelters) and private households [discrepancies: none]This variable indicates whether or not a dwelling has a kitchen or kitchenette.1Kitchen2Kitchenette3Has neither kitchen nor kitchenette9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDOccupancy status of dwellingSwitzerland 1990: Occupied buildings (except emergency shelters) and private households [discrepancies: none]This variable indicates the ownership of the dwelling.1Tenant2Cooperative3Owner of floor or dwelling4Owner of building5Co-owner of building6Company or official residence7Free [rent] dwelling8Lessee9NIU (not in universe)Household Economic Variables -- HOUSEHOLDNet rent (in Swiss Francs)Switzerland 1990: Occupied buildings (except emergency shelters) with tenants and cooperatives and private households [discrepancies: none]This variable indicates the net rent (in Swiss Francs) for the dwelling.This is a 5-digit numeric variable.
Codes90 = 90 or less.
4500 = 4500+.
9998 = Unknown.
9999 = NIU.Household Economic Variables -- HOUSEHOLDStrataSwitzerland 1990: All householdsThis variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.This is a 5-digit numeric variable with 0 implied decimal placesGeography: O-Z Variables -- HOUSEHOLDPerson numberPERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.PERNUM is a 4-digit numeric variable.Technical Person Variables -- PERSONPerson weightPERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Person Variables -- PERSONMother's location in householdMOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero.MOMLOC is a 3-digit numeric variable.
Codes0 = No mother of this person present in the household.
1 or higher = The person number of this person's motherConstructed Family Interrelationship Variables -- PERSONFather's location in householdPOPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero.POPLOC is a 3-digit numeric variable.
Codes0 = No father of this person present in the household.
1 or higher = The person number of this person's fatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdSPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology.SPLOC is a 3-digit numeric variable.
Codes0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouseConstructed Family Interrelationship Variables -- PERSONRule for linking parentPARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No parent of person in household11Link to head or spouse, unambiguous12Link to head or spouse, ambiguous21Child-Grandchild, within empirical child cap22Child-Grandchild, within constructed child cap23Child-Grandchild, exceeds child cap31Specified Other Relatives, within empirical child cap32Specified Other Relatives, within constructed child cap33Specified Other Relatives, exceeds child cap41Other Relatives, within empirical child cap42Other Relatives, within constructed child cap51Non-Relatives, within empirical child cap52Non-Relatives, within constructed child capConstructed Family Interrelationship Variables -- PERSONRule for linking spouseSPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No spouse present01Rule 1: strong relationship pairing, couple adjacent02Rule 2: strong relationship pairing, couple not adjacent03Rule 3: weak relationship pairing, couple adjacent04Rule 4: weak relationship pairing, couple not adjacent05Rule 5: weak consensual union pairings06Rule 6: sample-specific rules (usually child-to-child)Constructed Family Interrelationship Variables -- PERSONProbable stepmotherSTEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children born or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process.
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 -- 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 -- 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 -- PERSONReligion [general version]RELIGION indicates the person's religion, including "none."0NIU (not in universe)1No religion2Buddhist3Hindu4Jewish5Muslim6Christian7Other9UnknownEthnicity and Language Variables -- PERSONReligion [detailed version]RELIGION indicates the person's religion, including "none."0000NIU (not in universe)1000No religion1001Atheist1002Agnostic1003Without religion2000Buddhist3000Hindu4000Jewish5000Muslim5005Ahmadis5006Sunni6000Christian6001Catholic (Roman or unspecified)6002Orthodox6003Protestant6004Evangelical protestant6005Pentecostal6006Adventist / Seventh-day adventist6007Anglican6008Assembly of God6009Baptist6010Church of the Nazarene6011Congregational6012Dutch Reformed6013Episcopalian6014Jehovah's Witnesses6015Latter Day Saints (Mormon)6016Lutheran6017Mennonite6018Methodist6019New Apostolic6020Presbyterian6021Zion Christian6022Moravian6090Other Christian, historical6100Other Christian, Armenia6101Armenia apostolic6102Nestorian6103Molokai6104Other Christian, Austria6105Old Catholic6106Protestant, Augsburg confession6107Protestant, Westminster confession6108Protestant, Helvetic confession6109Greek Oriental6110Armenian Apostolic6111Other Protestant6112Christian Community for renewal6113Christian Community, not specified6114Other Christian, Benin6115Other Christian6116Celestial6117Other Christian, Brazil6118Christian Congregation of Brazil6119Brazilian Catholic Apostolic6120Brazil for Christ6121Foursquare Gospel6122Universal of the Kingdom of God6123House of the Blessing6124House of Prayer6125God is Love6126Maranata6127Other Christian, Brazil 19916128Undetermined Protestant6129Other traditional Protestant6130Neo-Christian6131Other Neo-Christian6132Undetermined Christian6133Other Christian, Brazil 20006134Other Catholic6135Renewed Evangelical Protestant without institutional ties6136Pentecostal Evangelical without institutional ties6137New Life Evangelical Protestant Pentecostal6138Evangelical Protestant Biblical Revival Pentecostal6139Chain Of Prayer Pentecostal6140Undetermined Evangelical Protestant6141Religion Of God6142Christian without institutional ties6143Other Christian, Brazil 20106144Salvation Army6145Other Christian, Canada6146Other Catholic6147United Church6148Protestant, not specified6149Other Protestant6150Other Christian, Cameroon6151Other Christian, Fiji6152Christian undefined6153Church of England6154Gospel Hall and Brethern6155Christian Mission Fellowship (CMF) or Every Home6156Salvation Army6157All Nations Christian Fellowship6158Apostles Gospel Outreach Fellowship6159Christian Outreach Centre6160Other Christian6161Other Christian, Germany6162Oriental Christian6163Other Christian, Ghana6164Other Christian, Iran6165Assyrian or Chaldean6166Armenian6167Other Christians6168Other Christian, Indonesia6169Other Christian6170Protestant/Other Christian6171Other Christian, Ireland6172Church of Ireland6173Church of Scotland6174Independent6175Unitarian6176Salvation Army6177Free Church6178Brethren6179Christian Brethren6180Plymouth Brethren6181Quaker6182Other Christians6183Other Christian, Ivory Coast6184Other Christian, Jamaica6185Brethren6186Church of God6187Church of God of Prophecy6188Other Church of God6189United Church6190Salvation Army6191New Testament6192Disciples of Christ6193Other Christian, Mauritius6194Christian Tamil6195Salvation and Healing Mission6196Voice of Deliverance6197Other Christian6198Other Christian, Mexico6199Anabaptist6200Calvinist6201Cuaquera6202Disciples of Christ6203Christian Friendship Church6204Prayer House Church6205Faith Center6206Agape Force Church6207Alpha and Omega Church6208Living Water Church6209Apostolic Church6210Church of God6211Church of God of Prophecy6212Complete Gospel Church6213Evangelical Siblings Church6214Upper Room Church6215Pentecostal Indigenous Church6216Angular Stone Voice Church6217Pentecostal Missionary6218Christian6219Christian Societies6220Evangelical6221Evangelical Societies6222New Testament Evangelical6223Pentecostal6224Pentecostal Societies6225Independent Pentecostal6226Evangelical Christian Societies6227Pentecostal Christian Societies6228Evangelical Pentecostal Societies6229Evangelical Pentecostal Christian Societies6230Soldiers of Christ's Cross Church6231Tabernacle6232Traditionalists6233Other Evangelical Pentecostal Societies6234Pentecostal not clearly specified6235Living God, Light of the World6236Christian and Missionary Alliance6237Non-Pentecostal Apostolic6238Evangelical Associations6239Biblical6240Confraternities6241Christ Church6242Peace Grace and Misericordia Church6243Open Bible Church6244Holiness Church6245Evangelical Salem Church6246Beautiful Woman Dressed in the Sun6247Messianic Church6248Evangelical Ministers6249Evangelical Missionaries6250Evangelical Movements6251New Jerusalem6252World Vision Church6253Evangelical not clearly specified6254Biblical - non-evangelicals6255Other Christians not clearly specified6256Assumptionist6257Carmelite6258Claretian6259Conception Franciscan6260Maronite Diocese of Mexico6261Dominican6262Servants of Mary Immaculate6263Franciscan6264Guadalupan6265Daughters of the Immaculate Conception6266Jesuit6267Legionaries of Christ6268Divine Word Missionary6269Pauline6270Sacred Heart6271Saint Joseph of Tarbes6272Servant of the Lord and the Virgin6273Servant of Jesus6274Greek Catholic Church6275Reformed Roman Catholic Church6276Mexican National Catholic Church6277Tridentine Latin Rite Catholic Church6278Priestly Society Trento6279Mexican Catholic Union of Trento6280Anabaptist / Memnonite6281Anglican / Episcopal6282House of Prayer6283Center of Faith, Hope and Love of the Missionary Revival Crusade6284Center of Faith, Hope and Love Agape Force6285Salvation Army6286Independent Pentecostal Fellowship6287Upper Chamber Church6288Faith Apostolic Church of Jesus Christ6289Spiritual Christian Church6290Pentecostal Evangelical Christian Church6291Interdenominational Christian Church6292Church of God Full Gospel in Mexico6293Church of Jesus Christ on the Rock6294Christ Evangelical Pentecostal Church Rock of my Salvation6295Mexican Church of Christ's Gospel Pentecost6296United Pentecostal Church of Mexico6297Universal Church of the Kingdom of God6298Only Christ Savior Christian Church6299Independent Evangelical Pentecostal Movement6300Prince of Peace6301National Union of Evangelical Christian Churches (UNICE)6302Union of Independent Evangelical Churches6303Other associations Pentecostal6304Church of the Living God, Pillar and Support of Truth, the Light of the World6305Bible Church6306Interdenominational Christian Church in Mexico6307Church of Christ6308Honey Church of Christ6309Independent Evangelical Church in Mexico6310Renewed Church of Jesus Christ and the Apostles of Divine Love6311Other Christian and Evangelical associations without Pentecostal support6312Faith Christian Church6313Traditional Apostolic Catholic Holy Church Mexico-USA6314Mexican Apostolic Catholic Church6315Elias6316Spiritualistic6317Spiritualist6318Marian Trinitarian Spirituality6319Spirituality of the Third Age6320Christian Spiritual6321Judiciary Society Reign of Leonardo Alcalá Leos6322Spirituality for the Divine Master and the purity of Mary6323Light and Hope6324Holy Spirit, Purity, Love and Light6325Christian Science6326Neo-Israelite Jewish Syncretic Movements6327Other Christian, Netherlands6328Reformed Churches in The Netherlands6329Other Reformed6330Other Christian, Papua New Guinea6331Asian Pacific Christian Mission6332Asutalian Church6333Bamu River Mission6334Christian Brethren Church of PNG6335Christian Mission of Many Lands6336Christian Revival Crusade6337Christain Union Mission6338Church of Christ of PNG6339Faith mission6340Four Square Gospel Mission6341Kwato Church6342Life Center6343Lighthouse church6344New Guinea Gospel Mission6345New Life Mission6346New tribes Mission6347Paliau Christian Native Church6348Rhema Fellowship6349Salvation Army6350Sovereign Grace6351United Church6352Wewak Fellowship6353Western Highland6354Independent6355Plymouth Brethern6356Tiliba Mission6357Tokarara Christian Fellowship6358Village Mission6359Other Christian6360Other Christian, Paraguay6361Christian Community6362Free Brothers6363Church of God6364Church of God of Prophecy6365New testament6366God is love6367Universal Church of the Kingdom of God6368People of God6369Family worship center6370Pseudo-Christian groups6371Other Christian, Philippines6372Aglipay6373Bible Christian Committees6374Born-again Christian6375Bread of Life Ministries6376Cathedral of Praise, Incorporated6377Charismatic Full Gospel Ministries6378Christ the Living Stone Fellowship6379Christian and Missionary Alliance6380Christians Missions6381Christian Reformed Church in the Philippines, Incorporated6382Church of Christ6383Crusaders of the Divine Church of Christ, Incorporated6384Evangelical Christian Outreach Foundation6385Evangelical Free Church6386Filipino Assemblies of the First Born Inc.6387Foursquare Gospel6388Free Believers in Christ Fellowship6389Free Mission in the Philippines Inc.6390God World Mission6391Good News Christian Churches6392IEMELIF Reform Movement6393Iglesia Evangelista Methodista en Las6394Iglesia Evangelica Unida de Cristo6395Iglesia ni Cristo6396Iglesia sa Dios Espiritu Santo, Incorporated6397Jesus Christ Saves Global Outreach6398Jesus is Alive Community, Incorporated6399Jesus is Lord Church6400Jesus Reigns Ministries6401Love of Christ International Ministries6402Other Evangelical6403Other Evangelical Church6404Other Protestants6405Philippine Ecumenical Christian Church6406Philippine Evangelical Mission6407Philippine Grace Gospel Fellowship6408Philippines Benevolent Missionaries6409Philippines General Council of the Assemblies of God6410Potter's House Christian Center6411Salvation Army Philippines6412Take the Nation for Jesus Global Ministries (Corpus Christi)6413UNIDA Evangelical Church6414Union Espiritista Cristiana de Filipinas, Incorporated6415United Church of Christ in the Philippines6416United Evangelical Church of the Philippines (Chinese)6417Victory Chapel Christian Fellowship6418Wesleyan Church6419World Missionary Evangelism6420Worldwide Church of God6421Zion Christian Community Church6422Other Christian, Portugal6423Other Christian, Romania6424Greek Catholic6425Reformed Church6426Evangelic of Augustan Confession6427Evangelic Synodo-Presbyterian6428Christian of Old Rite6429Christian by Gospel6430Evangelic6431Other Christian, Rwanda 20026432Other Christian, Sierra Leone6433Other Christian, Slovak Republic6434Old Catholic6435Greek Catholic6436Christian Reformed6437Other Christian, South Africa6438Reformed6439International Fellowship of Christian Churches6440Apostolic Faith Mission of SA6441Other Apostolic Churches6442Pinkster Protestant Church6443Afrikaanse Protestant Church6444Full Gospel Church of God in Southern Africa6445Pentecostal Churches6446Salvation Army6447Bandla Lama Nazaretha6448African Methodist Episcopal Church6449St John's Apostolic Church6450International Pentecost Church6451Ethiopian type churches6452Ethnic churches6453Other African Independent Churches6454Other Christian Churches6455Other Catholic Churches6456Other Pentecostal Churches6457Other Orthodox Churches6458Other African Apostolic churches6459Other Assemblies6460Christian Scientist6461Christian Centres6462Other Evangelical Churches6463Other Charismatic Churches6464Just a Christian or non-denominational6465Other6466Other Christian, Suriname6467Other Christian6468Other Christian, Saint Lucia6469Church of God6470Other Christian, Senegal6471Other Christian6472Other Christian, Switzerland6473Other protestant churches and communities6474Christ-Catholic church6475Other Christian communities6476Other Christian, Trinidad and Tobago6477Church of God6478African Methodist Espiscopalians6479Brethren, Christian or Plymouth6480Church of Christ6481Gospel Hall or Gospel Missionary6482Nazarenes6483Pilgrim Holiness6484Ethiopian Orthodox6485Open Bible Church6486Assemblies of Yahweh6487Evangelical Church of West Indies6488Christadelphian6489Full Gospel Fellowship6490Dutch Reform6491Christian Brotherhood Assembly6492Other Christian, Uganda6493Other Christian6494Salvation Army6495Other Christian non-Catholic, Uruguay6496Other Christian non-Catholic, Guatemala6497Other Christian, Togo7000Other7001Bahai7002Sikh7003Rastafarian7100Other, Armenia7101Pagan7102Shar-fadinian7103Other, Austria7104Unification Church, Austria7105Other, Benin7106Traditional7107Vodoun7108Other, Botswana7109Badimo7110Other, Brazil7111Spiritist7112Kardecist Spiritist7113Afro Spiritist7114Mediumistic Spiritist7115Umbandist Mediumistic7116Candomblecist Mediumistic7117Other Afro-Brazilian7118Oriental, Brazil7119New Oriental7120Oriental Seicho No-le7121Other Oriental, Brazil7122Esoteric, Brazil7123Indigenous, Brazil7124Other minority groups, Brazil7125Other, Burkina Faso7126Animist7127Other, Cameroon7128Animist7129Other, Canada7130Eastern religions, Canada7131Other, Chile7132Theosophism7133Shintoism7134Other, Ethiopia7135Traditional7136Other, Ethiopia7137Other, Fiji7138Confucian7139Kabir Panthi7140Satya Sai Baba7141Bahai7142Other non-Christian, Fiji7143Other, Germany7144Other, Germany7145Other, Ghana7146Traditional, Ghana7147Other, Guinea7148Animist7149Other, Guinea7150Other, Haiti7151Voodoo7152Other, India7153Jainism7154Zoroastrianism7155Other, India7156Other, Indonesia7157Confucianism7158Other, Indonesia7159Other, Iran7160Zoroastrian7161Other, Iran7162Other, Ivory Coast7163Animist7164Harrist7165Other, Jamaica7166Muslim/Hindu7167Other, Israel7168Druse7169Other, Israel7170Other, Laos7171Animist7172Other, Liberia7173Traditional7174Other, Malaysia7175Confucianism/Taoism7176Tribal/Folk religion, Malaysia7177Other, Mali7178Animist7179Other, Mexico7180Brahmanism7181Hare Krishna7182Shintoism7183Taoism7184Mexican Movements7185Ananda Marga7186Church of Scientology7187Masons7188Raelian Movement7189New Age Movement7190Neoisraelites7191Occultists7192Palmar of Troya7193Rose Cross7194Theosophism7195Spiritualist Special Keys7196Onkaranada Center7197Confucianism7198Shia7199Universal Great Brotherhood7200Esoteric Science7201Gnosticism7202Metaphysics7203Wicca7204Shamanism7205The Custom7206Mexicayotl7207Restorative Confederate Movement of Anahuac Culture7208African Origin7209Indigenous Religions7210Growing in Grace7211Eckankar7212Transcendental Meditation7213Mission Branch7214Children of God7215Sri Sathya Sai Baba7216Other religions from Asia7217Ethnic roots7218Afro roots7219Popular cults7220Other new religious movements7221Other, Nepal7222Kirat7223Jain7224Garaute7225Tap jura7226Bon7227Prakriti7228Other, Nigeria7229Traditional7230Other, Pakistan7231Ahmadi7232Parsi7233Scheduled caste7234Other, Paraguay7235Philosophical revelations7236Indigenous religion7237Reyukai7238Other, Paraguay7239Other, Philippines7240Door of Faith7241Faith Tabernacle Church (Living Rock Ministries)7242Iglesia Filipina Independiente7243International One Way Outreach7244Miracle Life Fellowship International7245Miracle Revival Church of the Philippines7246Philippine Good News Ministries7247Philippine Missionary fellowship7248Things to Come7249Way of Salvation7250Word of the World7251Word International Ministries7252Tribal Religions, Philippines7253Other, Romania7254Unitarian7255Armenian7256Mosaic7257Other, Romania7258Other, Rwanda7259Traditional religion, Rwanda7260Other, Rwanda7261Other, Sierra Leone7262Traditional religion, Sierra Leone7263Other, South Africa7264African traditional belief7265Taoist7266Confucian7267New Age7268Winti7269Javanism7270Other non-Christian, S. Africa7271Other, Suriname7272Javanism7273Traditional7274Winti7275Other, Thailand7276Confucian7277Other, Trinidad and Tobago7278Pocamania or Shango7279Orisha7280Other, Uganda7281Traditional religion7282Mammon7283Other non-Christian, Uganda7284Other, United Kindom7285Other, Uruguay7286Umbanda/other Afro-American7287Other, Uruguay7288Other, Vietnam7289Cao Dai7290Cham Brahmin7296Other, Togo7297Animist7900Other, not elsewhere classified9999UnknownEthnicity and Language Variables -- PERSONMother tongue, SwitzerlandMTONGCH indicates the language the person knows best.01German02French03Italian04Rhaeto-Romanic05English06Dutch07Scandinavian languages08Greek09Spanish10Slavic languages (other than Czech and Slovak)11Hungarian12Czech or Slovak13Other languagesEthnicity and Language 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, SwitzerlandEDUCCH indicates the person's educational attainment in Switzerland in terms of the level of schooling completed.00NIU (not in universe)10None20Mandatory schooling up to 7 years30Mandatory schooling and preparatory schools40Upper secondary41General (matura schools, teacher training school)42Vocational (trade school, apprenticeship, vocational baccalaureate)50Higher professional school60University99UnknownEducation Variables -- PERSONEducational attainment, EuropeEEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities.
EEDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EEDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country.
Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL.
EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples.00NIU (not in universe)10Less than primary20Primary (first stage of basic education)30Lower secondary (second stage of basic education)40Upper secondary50Post-secondary non-tertiary education60University completed99Unknown/missingEducation Variables -- PERSONActivity status (employment status) [general version]EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".0NIU (not in universe)1Employed2Unemployed3Inactive9Unknown/missingWork Variables -- PERSONActivity status (employment status) [detailed version]EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".000NIU (not in universe)100Employed, not specified110At work111At work, and 'student'112At work, and 'housework'113At work, and 'seeking work'114At work, and 'retired'115At work, and 'no work'116At work, and other situation117At work, family holding, not specified118At work, family holding, not agricultural119At work, family holding, agricultural120Have job, not at work in reference period130Armed forces131Armed forces, at work132Armed forces, not at work in reference period133Military trainee140Marginally employed200Unemployed, not specified201Unemployed 6 or more months202Worked fewer than 6 months, permanent job203Worked fewer than 6 months, temporary job210Unemployed, experienced worker220Unemployed, new worker230No work available240Inactive unemployed300Inactive (not in labor force)301Unavailable jobseekers302Available potential jobseekers310Housework320Health reasons, unable to work, or disabled321Permanent disability322Temporary illness323Disabled or imprisoned330In school340Retirees and living on rent341Living on rents342Living on rents or pension343Retirees/pensioners344Retired345Pensioner346Non-retirement pension347Disability pension348Retired without benefits350Elderly351Elderly or disabled360Institutionalized361Prisoner370Intermittent worker371Not working, seasonal worker372Not working, occasional worker380Other income recipient390Inactive, other reasons391Too young to work392Dependent999Unknown/missingWork Variables -- PERSONActivity status (employment status), EuropeEEMPSTAT indicates for the European samples whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EEMPSTAT can also convey further information.
EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices.
The economically active population constitutes the total labor force: employed and unemployed persons.000NIU (not in universe)110Employed120Unemployed121Unemployed, never worked before200Not economically active, unspecified210Students220Pension or capital income recipients230Homemakers240Others999Unknown / missingWork Variables -- PERSONLabor force participationLABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period.
For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor.1No, not in the labor force2Yes, in the labor force8Unknown9NIU (not in universe)Work Variables -- 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 -- PERSONOccupation, ISCO-1988, 3-digitISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification.010Armed forces111Legislators112Senior government officials113Traditional chiefs and heads of villages114Senior officials of special-interest organizations121Directors and chief executives122Production and operations department managers123Other department managers131General managers199Legislators, senior officials and managers not elsewhere classified211Physicists, chemists and related professionals212Mathematicians, statisticians and related professionals213Computing professionals214Architects, engineers and related professionals221Life science professionals222Health professionals (except nursing)223Nursing and midwifery professionals231College, university and higher education teaching professionals232Secondary education teaching professionals233Primary and pre-primary education teaching professionals234Special education teaching professionals235Other teaching professionals241Business professionals242Legal professionals243Archivists, librarians and related information professionals244Social science and related professionals245Writers and creative or performing artists246Religious professionals299Professionals no elsewhere classified311Physical and engineering science technicians312Computer associate professionals313Optical and electronic equipment operators314Ship and aircraft controllers and technicians315Safety and quality inspectors321Life science technicians and related associate professionals322Modern health associate professionals (except nursing)323Nursing and midwifery associate professionals324Traditional medicine practitioners and faith healers331Primary education teaching associate professionals332Pre-primary education teaching associate professionals333Special education teaching associate professionals334Other teaching associate professionals341Finance and sales associate professionals342Business services agents and trade brokers343Administrative associate professionals344Customs, tax and related government associate professionals345Police inspectors and detectives346Social work associate professionals347Artistic, entertainment and sports associate professionals348Religious associate professionals399Technicians and associate professionals not elsewhere classified411Secretaries and keyboard-operating clerks412Numerical clerks413Material-recording and transport clerks414Library, mail and related clerks419Other office clerks421Cashiers, tellers and related clerks422Client information clerks499Clerks not elsewhere classified511Travel attendants and related workers512Housekeeping and restaurant services workers513Personal care and related workers514Other personal services workers515Astrologers, fortune-tellers and related workers516Protective services workers521Fashion and other models522Shop salespersons and demonstrators523Stall and market salespersons599Service workers and shop and market sales workers not elsewhere classified611Market gardeners and crop growers612Market-oriented animal producers and related workers613Market-oriented crop and animal producers614Forestry and related workers615Fishery workers, hunters and trappers621Subsistence agricultural and fishery workers699Skilled agricultural and fishery workers not elsewhere classified711Miners, shotfirers, stone cutters and carvers712Building frame and related trades workers713Building finishers and related trades workers714Painters, building structure cleaners and related trades workers721Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers722Blacksmiths, tool-makers and related trades workers723Machinery mechanics and fitters724Electrical and electronic equipment mechanics and fitters731Precision workers in metal and related materials732Potters, glass-makers and related trades workers733Handicraft workers in wood, textile, leather and related materials734Printing and related trades workers741Food processing and related trades workers742Wood treaters, cabinet-makers and related trades workers743Textile, garment and related trades workers744Pelt, leather and shoemaking trades workers799Craft and related trade workers not elsewhere classified811Mining- and mineral-processing-plant operators812Metal-processing-plant operators813Glass, ceramics and related plant operators814Wood-processing- and papermaking-plant operators815Chemical-processing-plant operators816Power-production and related plant operators817Automated-assembly-line and industrial-robot operators821Metal- and mineral-products machine operators822Chemical-products machine operators823Rubber- and plastic-products machine operators824Wood-products machine operators825Printing-, binding- and paper-products machine operators826Textile-, fur- and leather-products machine operators827Food and related products machine operators828Assemblers829Other machine operators and assemblers831Locomotive-engine drivers and related workers832Motor-vehicle drivers833Agricultural and other mobile-plant operators834Ships' deck crews and related workers899Other plant and machine operaters and assemblers not elsewhere classified911Street vendors and related workers912Shoe cleaning and other street services elementary occupations913Domestic and related helpers, cleaners and launderers914Building caretakers, window and related cleaners915Messengers, porters, doorkeepers and related workers916Garbage collectors and related labourers921Agricultural, fishery and related labourers931Mining and construction labourers932Manufacturing labourers933Transport labourers and freight handlers989Elementary occupations not elsewhere classified990Other workers, not elsewhere classified998Unknown999NIU (not in universe)Work Variables -- PERSONIndustry, general recodeINDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.000NIU (not in universe)010Agriculture, fishing, and forestry020Mining and extraction030Manufacturing040Electricity, gas, water and waste management050Construction060Wholesale and retail trade070Hotels and restaurants080Transportation, storage, and communications090Financial services and insurance100Public administration and defense110Services, not specified111Business services and real estate112Education113Health and social work114Other services120Private household services130Other industry, n.e.c.998Response suppressed999UnknownWork Variables -- PERSONIndustry, unrecoded"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit]
Argentina 1980 - see Variable: AR1980A_IND - Industry
Argentina 1991 - see Variable: AR1991A_IND - Industry
Argentina 2001 - see Variable: AR2001A_IND - Industry
Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work
Armenia 2011 - see Variable: AM2011A_IND - Industry
Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch
Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch
Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch
Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch
Austria 2011 - see Variable: AT2011A_IND - Industry
Bangladesh 1991 - see Variable: BD1991A_IND - Industry
Bangladesh 2001 - see Variable: BD2001A_IND - Main work field
Bangladesh 2011 - see Variable: BD2011A_IND - Industry
Belarus 2009 - see Variable: BY2009A_ECONACT - Industry
Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit)
Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits)
Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits)
Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit)
Bolivia 1976 - see Variable: BO1976A_IND - Industry
Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits
Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits
Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit)
Botswana 1981 - see Variable: BW1981A_IND - Industry
Botswana 1991 - see Variable: BW1991A_IND - Industry
Botswana 2001 - see Variable: BW2001A_IND - Industry
Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits
Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry
Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry
Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry
Brazil 1991 - see Variable: BR1991A_IND - Industry
Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits
Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010
Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity
Cambodia 1998 - see Variable: KH1998A_IND - Industry
Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits)
Cambodia 2008 - see Variable: KH2008A_IND - Industry
Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits)
Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit)
Cameroon 2005 - see Variable: CM2005A_IND - Industry
Canada 1971 - see Variable: CA1971A_IND - Industry
Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification)
Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification)
Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification)
Canada 2011 - see Variable: CA2011A_IND - Industry
Chile 1960 - see Variable: CL1960A_IND - Industry
Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit)
Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit)
Chile 1992 - see Variable: CL1992A_IND - Industry
Chile 2002 - see Variable: CL2002A_IND - Industry
Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit)
China 1982 - see Variable: CN1982A_INDUSTRY - Industry
China 1990 - see Variable: CN1990A_IND - Industry
China 2000 - see Variable: CN2000A_IND - Industry (2-digit)
Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits
Colombia 1973 - see Variable: CO1973A_IND - Industry
Colombia 1993 - see Variable: CO1993A_IND - Industry
Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit)
Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits
Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits
Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits
Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits
Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit
Cuba 2002 - see Variable: CU2002A_IND - Industry
Cuba 2012 - see Variable: CU2012A_IND - Industry
Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed)
Dominican Republic 1960 - see Variable: DO1960A_IND - Industry
Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit)
Dominican Republic 2002 - see Variable: DO2002A_IND - Industry
Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business
Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits
Ecuador 1982 - see Variable: EC1982A_IND3 - Industry
Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits
Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits
Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4)
Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit)
Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC)
Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit
El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit)
El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit)
Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry
Ethiopia 1994 - see Variable: ET1994A_IND - Industry
Fiji 1966 - see Variable: FJ1966A_IND - Industry
Fiji 1976 - see Variable: FJ1976A_IND - Industry
Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits
Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits)
Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits
Fiji 2014 - see Variable: FJ2014A_IND - Industry
Finland 2010 - see Variable: FI2010A_IND - Industry
France 1962 - see Variable: FR1962A_IND - Industry
France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories
France 1975 - see Variable: FR1975A_INDUN - Industry, UNO
France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature
France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories
France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC
France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode
France 2011 - see Variable: FR2011A_IND - Industry, 732 categories
Germany 1970 - see Variable: DE1970A_IND - Industry
Germany 1971 - see Variable: DE1971A_IND - Industry
Germany 1981 - see Variable: DE1981A_IND - Industry
Germany 1987 - see Variable: DE1987A_IND - Industry
Ghana 2000 - see Variable: GH2000A_IND - Industry
Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups)
Greece 1971 - see Variable: GR1971A_IND - Industry
Greece 1981 - see Variable: GR1981A_IND - Industry
Greece 1991 - see Variable: GR1991A_IND - Industry
Greece 2001 - see Variable: GR2001A_IND - Industry
Greece 2011 - see Variable: GR2011A_IND - Industry
Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits)
Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits)
Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits)
Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits)
Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit)
Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits
Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit)
Haiti 1982 - see Variable: HT1982A_IND - Branch of work
Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits
Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits)
Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits)
Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit)
Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit)
Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy
Hungary 2011 - see Variable: HU2011A_IND - Industry
Indonesia 1971 - see Variable: ID1971A_IND - Industry
Indonesia 1976 - see Variable: ID1976A_IND - Industry
Indonesia 1980 - see Variable: ID1980A_IND - Industry
Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation
Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week
Indonesia 1995 - see Variable: ID1995A_IND - Industry
Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation
Indonesia 2005 - see Variable: ID2005A_IND - Industry
Indonesia 2010 - see Variable: ID2010A_IND - Industry
Iran 2006 - see Variable: IR2006A_IND4 - Industry
Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit)
Iraq 1997 - see Variable: IQ1997A_IND - Industry
Ireland 1971 - see Variable: IE1971A_IND - Industry
Ireland 1981 - see Variable: IE1981A_IND - Industry class
Ireland 1986 - see Variable: IE1986A_IND - Industry class
Ireland 1991 - see Variable: IE1991A_IND - Industry class
Ireland 1996 - see Variable: IE1996A_IND - Industry class
Ireland 2002 - see Variable: IE2002A_IND - Industry class
Ireland 2006 - see Variable: IE2006A_IND - Industry class
Ireland 2011 - see Variable: IE2011A_IND - Industry
Ireland 2016 - see Variable: IE2016A_IND - Industry
Israel 1972 - see Variable: IL1972A_IND - Industry
Israel 1983 - see Variable: IL1983A_IND - Industry
Israel 1995 - see Variable: IL1995A_IND - Industry
Israel 2008 - see Variable: IL2008A_IND - Branch of economy
Italy 2001 - see Variable: IT2001A_IND - Industry
Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity
Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job
Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits
Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit
Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment
Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section
Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in
Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization
Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit)
Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit)
Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4)
Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits)
Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit)
Liberia 2008 - see Variable: LR2008A_IND - Industry
Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit
Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit
Malawi 2008 - see Variable: MW2008A_IND2 - Main industry
Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit)
Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week
Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits)
Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits
Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month
Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity
Mali 2009 - see Variable: ML2009A_IND - Industry
Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit)
Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit)
Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit)
Mexico 1960 - see Variable: MX1960A_IND - Industry
Mexico 1970 - see Variable: MX1970A_IND - Industry
Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits
Mexico 1995 - see Variable: MX1995A_IND - Industry
Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits
Mexico 2010 - see Variable: MX2010A_IND - Industry
Mexico 2015 - see Variable: MX2015A_IND - Industry
Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits)
Mongolia 2000 - see Variable: MN2000A_IND - Industry
Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4)
Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit)
Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit)
Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits)
Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit)
Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit)
Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry
Mozambique 2007 - see Variable: MZ2007A_IND - Industry
Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2)
Myanmar 2014 - see Variable: MM2014A_IND - Industry
Nepal 2001 - see Variable: NP2001A_IND - Usual industry
Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit)
Netherlands 1960 - see Variable: NL1960A_IND - Industry
Netherlands 1971 - see Variable: NL1971A_IND - Industry
Netherlands 2001 - see Variable: NL2001A_IND - Industry
Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit)
Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits
Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits))
Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit
Palestine 1997 - see Variable: PS1997A_IND - Industry
Palestine 2007 - see Variable: PS2007A_IND - Industry
Palestine 2017 - see Variable: PS2017A_IND - Industry
Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit)
Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit]
Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit
Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits
Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits
Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits
Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits
Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit)
Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits)
Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits)
Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits
Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits
Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits)
Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits)
Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits)
Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week)
Philippines 1990 - see Variable: PH1990A_IND - Industry
Philippines 1995 - see Variable: PH1995A_IND - Industry
Philippines 2000 - see Variable: PH2000A_IND - Industry
Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit)
Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support)
Poland 2002 - see Variable: PL2002A_IND - Industry (main employer)
Portugal 1981 - see Variable: PT1981A_IND - Industry
Portugal 1991 - see Variable: PT1991A_IND - Industry
Portugal 2001 - see Variable: PT2001A_IND - Industry
Portugal 2011 - see Variable: PT2011A_IND - Industry
Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis
Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis
Puerto Rico 1990 - see Variable: PR1990A_IND - Industry
Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis
Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis
Puerto Rico 2010 - see Variable: PR2010A_IND - Industry
Puerto Rico 2015 - see Variable: PR2015A_IND - Industry
Puerto Rico 2020 - see Variable: PR2020A_IND - Industry
Romania 1977 - see Variable: RO1977A_IND - Industry of supporter
Romania 1977 - see Variable: RO1977A_WKACT - Activity category
Romania 1992 - see Variable: RO1992A_IND - Industry
Romania 2002 - see Variable: RO2002A_IND - Industry
Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories)
Rwanda 2002 - see Variable: RW2002A_IND - Industry
Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit
Senegal 1988 - see Variable: SN1988A_IND - Industry
Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_IND - Industry
Slovenia 2002 - see Variable: SI2002A_IND - Industry
South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits
South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit
South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit
South Sudan 2008 - see Variable: SS2008A_IND - Industry
Spain 1981 - see Variable: ES1981A_IND - Industry
Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment
Spain 2001 - see Variable: ES2001A_IND - Industry
Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits
Sudan 2008 - see Variable: SD2008A_IND - Industry
Suriname 2004 - see Variable: SR2004A_IND - Industry
Suriname 2012 - see Variable: SR2012A_IND - Industry (groups)
Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry)
Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry)
Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry)
Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry)
Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit)
Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week
Tanzania 2012 - see Variable: TZ2012A_IND - Industry
Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year
Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year
Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits
Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits
Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit)
Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry
Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits)
Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit)
Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits)
Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit
Uganda 2002 - see Variable: UG2002A_IND - Industry
United Kingdom 1961 - see Variable: UK1961A_IND - Industry
United Kingdom 1971 - see Variable: UK1971A_IND - Industry
United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification
United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification
United States 1960 - see Variable: US1960A_IND - Industry
United States 1970 - see Variable: US1970A_IND - Industry
United States 1980 - see Variable: US1980A_IND - Industry
United States 1990 - see Variable: US1990A_IND - Industry
United States 2000 - see Variable: US2000A_IND - Industry
United States 2005 - see Variable: US2005A_IND - Industry
United States 2010 - see Variable: US2010A_IND - Industry
United States 2015 - see Variable: US2015A_IND - Industry
United States 2020 - see Variable: US2020A_IND - Industry
Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit]
Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week
Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits)
Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits)
Venezuela 1981 - see Variable: VE1981A_IND - Industry
Venezuela 1990 - see Variable: VE1990A_IND - Industry
Venezuela 2001 - see Variable: VE2001A_IND - Industry
Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits
Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit
Vietnam 2009 - see Variable: VN2009A_IND - Industry
Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit
Zambia 1990 - see Variable: ZM1990A_IND - Industry
Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits
Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits
Work Variables -- PERSONStatus in employment (class of worker) [general version]CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.0NIU (not in universe)1Self-employed2Wage/salary worker3Unpaid worker4Other9Unknown/missingWork Variables -- PERSONStatus in employment (class of worker) [detailed version]CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.000NIU (not in universe)100Self-employed101Self-employed, unincorporated102Self-employed, incorporated110Employer111Sharecropper, employer120Working on own account121Own account, agriculture122Domestic worker, self-employed123Subsistence worker, own consumption124Own account, other125Own account, without temporary/unpaid help126Own account, with temporary/unpaid help130Member of cooperative140Sharecropper141Sharecropper, self-employed142Sharecropper, employee150Kibbutz member199Self-employed, not specified200Wage/salary worker201Management202Non-management203White collar (non-manual)204Blue collar (manual)205White or blue collar206Day laborer207Employee, with a permanent job208Employee, occasional, temporary, contract209Employee without legal contract210Wage/salary worker, private employer211Apprentice212Religious worker213Wage/salary worker, non-profit, NGO214White collar, private215Blue collar, private216Paid family worker217Cooperative employee220Wage/salary worker, government or public sector221Federal, government employee222State government employee223Local government employee224White collar, public225Blue collar, public226Public companies227Civil servants, local collectives230Domestic worker (work for private household)240Seasonal migrant241Seasonal migrant, no broker242Seasonal migrant, uses broker250Other wage and salary251Canal zone/commission employee252Government employment/training program253Mixed state/private enterprise/parastatal254Government public work program255State enterprise employee256Coordinated and continuous collaboration job300Unpaid worker310Unpaid family worker320Apprentice, unpaid or unspecified330Trainee340Apprentice or trainee350Works for others without wage400Other999Unknown/missingWork Variables -- PERSONStatus in employment (class of worker), EuropeECLASSWK refers in European Samples to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker.
ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples.
ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice.0NIU (not in universe)1Employees2Employers3Own-account worker4Contributing family workers5Members of producers' co-operatives6Persons not classificable by status9UnknownWork Variables -- PERSONFull-time or part-time workHRSFULL indicates whether the respondent worked full-time or part-time.0NIU (not in universe)1Part-time2Full-time9UnknownWork Variables -- PERSONMeans of transportation to work or schoolTRNWRK identifies the primary or usual means of transportation the person took either to work or school.
In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response.00NIU (not in universe)10None, does not travel to work or school20Walking21Walks or bicycle22Walks, bicycle, or motorcycle30Private vehicle31Auto, truck, van32Auto (driver)33Auto (passenger)34Auto, motorcycle, moped35Motorcycle, moped, or scooter36Bicycle37Bicycle or motorcycle/moped38Boat40Public transportation41Bus or trolley bus42Bus or streetcar43Streetcar or trolley car44Railroad or train45Subway or elevated train46Other public transportation50Other51Taxicab52Ferryboat53Special transportation (company coach, school bus, etc.)54Hired transport55Shared private transport56Horse or animal-drawn vehicle57Other, not elsewhere classified60Combination of several means99Unknown/missingWork Variables -- PERSONMigration status, 5 yearsMIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same major, different minor administrative unit20Different major administrative unit30Abroad99Unknown/missingMigration: Global Variables -- PERSONPerson number (within household)Switzerland 1990: All householdsThis variable indicates the person number within the household.00Household record011022033044055066077088099101011111212131314141515Technical Person Variables -- PERSONLabour force status<svar v="CH90A419 CH90A400" a="all"><span class="em">10. Current principal occupation, source of income</span><br /><div class="i1">(More than one answer can be given here)<br /><br />[] 1 Part-time occupation with single job</div><br /><div class="i2">Number of hours per week: _ _</div><br /><div class="i1">[] 2 Part-time occupation with two or more jobs</div><br /><div class="i2">Total number of hours per week: _ _</div><br /><div class="i1">[] 3 Fully employed</div><br /><div class="i2">Number of hours per week: _ _</div><br /><div class="i1">[] 4 Unemployed at present, but looking for a job<br />[] 5 Unemployed at present, but future job assured<br />[] 6 Unemployed at present and not looking for a job<br />[] 7 Housework in own household<br />[] 8 Undergoing education (school, studies, apprenticeship)<br />[] 9 None, under school age<br />[] 10 Retired, pensioner<br />[] 11 Other situation, namely ________</div><br /></svar>Switzerland 1990: Persons age 15+[discrepancies: none]This variable indicates the labour force status of the person.11Employed full time12Employed part time with one or more jobs13Apprentice20Unemployed31Not in labour force: in school or training32Not in labour force: volunteer work33Not in labour force: house work34Not in labour force: retired35Not in labour force: other99NIU (not in universe)Work Variables -- PERSONCountry of citizenship<span class="em">4. Nationality</span><div class="i1">[] 1 Swiss<br />[] 2 Foreigner</div>Switzerland 1990: All persons [discrepancies: none]This variable indicates the country of citizenship of the person.0000Switzerland8204Belgium8206Denmark8207Germany8211Finland8212France8214Greece8215United Kingdom8218Italy8220Yugoslavia8222Liechtenstein8227Netherlands8229Austria8230Poland8231Portugal8232Romania8234Sweden8236Spain8238Czechoslovakia8239Turkey8240Hungary8290Other European nations8304Algeria8357Tunisia8390Other African nations8407Chile8423Canada8439United States8490Other American nations8508China8510India8513Iran8514Israel8515Japan8518Cambodia8523Lebanon8545Vietnam8590Other Asian nations8690Oceania9998UnknownNativity and Birthplace Variables -- PERSONCommunity, canton or country of residence 5 years prior to the censusSwitzerland 1990: Persons age 5+ [discrepancies: none]This variable indicates if the person lived in the same community, cantor or country of residence as the current community, cantor or country of residence 5 years ago.1Same address, same community2Other address, same community3Other community, same canton4Other community, other canton5Other country8Unknown9NIU (not in universe)Migration: Global Variables -- PERSONCommunity, canton or country of birth<svar v="CH90A403 CH90A407" a="all"><span class="em">1. Date and place of residence at time of birth</span><br /><div class="i1">Day _ _<br />Month _ _<br />Year _ _ _ _<br /><br />Place of residence at time of birth: ____<br /><br />Canton resp. foreign country: ____</div><br /></svar>Switzerland 1990: All personsThis variable indicates if the person's community, canton or country of birth is the same as the current community, canton or country of residence.1Same community, same canton2Other community, same canton3Other community, other canton4Other country8UnknownNativity and Birthplace Variables -- PERSONCitizenship<span class="em">4. Nationality</span><div class="i1">[] 1 Swiss<br />[] 2 Foreigner</div>Switzerland 1990: All personsThis variable indicates if the person is a Swiss citizen or a foreigner.1Swiss2ForeignerNativity and Birthplace Variables -- PERSONCategory of place of work<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A405 CH90A406" a="all"><span class="em">14. Journey to work or school</span><br /><br />Where do you work or usually start work?<br />Where do you go to school?<br /><div class="i1">Street, number: ____<br />Town commune: ____<br />Canton resp. foreign country: ____<br />Name of the firm, business or school: ____</div><br /></svar>Switzerland 1990: Persons age 15+ and employed[discrepancies: none]This variable indicates if the person works in the same community, canton or country as the current community, canton or country of residence.1Same community2Same canton3Other canton4Other country8Unknown9NIU (not in universe)Work Variables -- PERSONCategory of place of education<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A405 CH90A406" a="all"><span class="em">14. Journey to work or school</span><br /><br />Where do you work or usually start work?<br />Where do you go to school?<br /><div class="i1">Street, number: ____<br />Town commune: ____<br />Canton resp. foreign country: ____<br />Name of the firm, business or school: ____</div><br /></svar>Switzerland 1990: Persons age 15+ and currently attending school or children ages 5-14 [discepancies: type 1 none; type II 1.7%]This variable indicates if the person goes to school in the same community, canton or country as their current community, canton or country of residence.1Same community2Same canton3Other canton4Other country8Unknown9NIU (not in universe)Education Variables -- PERSONAge<svar v="CH90A403 CH90A407" a="all"><span class="em">1. Date and place of residence at time of birth</span><br /><div class="i1">Day _ _<br />Month _ _<br />Year _ _ _ _<br /><br />Place of residence at time of birth: ____<br /><br />Canton resp. foreign country: ____</div><br /></svar>Switzerland 1990: All personsThis variable indicates the age of the person.00Less than 1 year old01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919292939394949595+Demographic Variables -- PERSONSex<svar v="CH90A408" a="all"><span class="em">2. Sex</span><br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar>Switzerland 1990: All personsThis variable indicates the sex of the person.1Male2FemaleDemographic Variables -- PERSONMarital status<svar v="CH90A409" a="all"><span class="em">3. Marital status</span><br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar>Switzerland 1990: All personsThis variable indicates the marital status of the person.1Single2Married, including separated3Widowed4DivorcedDemographic Variables -- PERSONReligion<svar v="CH90A410" a="all"><span class="em">8. Religion</span><br />Which church or religious community do you belong to?<br /><div class="i1">[] 1 The Reformed (Protestant) Church<br />[] 2 The Roman Catholic Church<br />[] 3 Another church or religions community, namely: ____<br />[] 4 None</div><br /></svar>Switzerland 1990: All personsThis variable indicates the religion of the person.111Protestant-reformed church112Protestant-Methodist church113New-apostolic churches114Jehovah witness115Other protestant churches and communities120Roman catholic church130Christ-catholic church140Christian orthodox churches150Other christian communities200Jewish300Islam400Other religious communities500No religious community998UnknownEthnicity and Language Variables -- PERSONMother tongue<span class="em">9. Language</span>Switzerland 1990: All personsThis variable indicates the mother tongue of the person.110German120French130Italian140Rhaeto-Romanic210English220Dutch230Scandinavian languages240Greek250Spanish270Slavic languages (other than Czech and Slovak)290Czech or Slovak284Hungarian300Other languagesEthnicity and Language Variables -- PERSONReference person or spouseSwitzerland 1990: All personsThis variable indicates the person's reference status.1Reference person2Partner of reference person3Other personDemographic Variables -- PERSONHousehold status (relationship)<svar v="CH90A413" a="all"><span class="em">7. Position in household</span><br />Indicate your position in the household:<br /><br /><div class="i1">[] 1 Head of household</div><br /><div class="i2">[] 1.1 Husband, wife, common-law husband/ wife<br />[] 1.2 Other head of household</div><br /><div class="i1">[] 2 Relative of head of household</div><br /><div class="i2">[] 2.1 Son, daughter, son-in-law, daughter-in-law<br />[] 2.2 Father, mother, father-in-law, mother-in-law<br />[] 2.3 Brother, sister<br />[] 2.4 Other relatives of head of household</div><br /><div class="i1">[] 3 Other position in household</div><br /><div class="i2">[] 3.1 Other position in household (e.g. domestic help, foster child, boarder, unrelated joint tenant)</div><br /></svar>Switzerland 1990: All personsThis variable indicates the relationship of the person to the head of household.1Head of household; spouse (partner) of head2Son, daughter, stepchild or child-in-law3Father, mother, father-in-law, mother-in-law4Other relatives5Other persons in household6Personnel in collective dwelling7Retirees in collective dwelling8Other persons in collective dwellingDemographic Variables -- PERSONProfession studied, highest qualification obtained<span class="em">11. Education and professional training</span></p>
<p><svar v="CH90A414" a="all"><div class="i1">Profession learnt, qualifications acquired: ____</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the person's profession studied or the highest qualification obtained.11101Farmers11102Farm assistants11103Other agricultural assistants not classified elsewhere11201Tree farmers11202Wine grower11203Truck farmers11301Breeders and herders of large livestock 11303Bee keepers and related professions11305Other animal-herding professions11401Horticultural professions and related professions11402Florists11501Forest rangers11502Lumberjacks [forestiers bûcherons] and forestry workers21101Makers of cheese and dairy products21102Butchers21103Bread, candy and pastry makers21104Millers21105Other professions related to food production21201Brewers and maltsters21202Cellar masters and beverage technologists and related professions22102Weaving professions22103Professions in textile finishing and dying22104Other professions related to textile production22201Tailors22202Sewers22203Embroiderers22204Other professions in the field of textile product processing22302Shoe makers and other professions in the shoe industry22303Saddle/harness makers22304Other leather-related professions22305Fur dealers and furriers23101Glass blowers23102Opticians24101Foundry worker and related fields24102Core makers, foundry casters24202Galvanizers and professions in metal surface refining24204Machine tool operators24205Milling machine operators and planers24207Industrial metal turners24208[Makers of small metal pieces such as bolts, screws, medical tools, etc.]24209Other workers in secondary metals processing24301Welders and other professions in metal joining24302Constructors of industrial equipment24303[Industrial tinplating]24304Blacksmiths not classified elsewhere24305Metal constructors and locksmiths24306[Locksmith-constructors]24307Locksmiths not classified elsewhere24308Other metal machining professions24401Mechanics24402Precision mechanics and micromechanics24403Locksmiths and machine fitters and related professions24404[Engine and maintenance fitters] and other mechanics24405Other fitters25101Vehicle electricians and electronics fitters25102Electronics fitters25103Electronic technicians (radio/TV/video)25104Network electricians and cable fitters25105Wire operator/spooler and related professions25107Electronics professions25201Watchmaker25202Other watch making25301Vehicle construction professions (land, water, air)25302Automobile mechanics25303Motorcycle and bicycle mechanics25304Agricultural-machine, worksite and small-appliance mechanics.25305Industrial lacquerers/varnishers and automobile painters25306Gas station attendants and staff not classified elsewhere26101Sawers, [wood carvers/jigsaw operators]26102Turners of wood and related materials26103Cabinet makers26104Carpenter-joiners26105Other carpenters26106Other woodworking professions and profession in the manufacture of cork, wicker and woven items26202Other professions in wood-surface processing26301Professions in paper and cardboard manufacture and related professions26302Other professions in the manufacture and processing of paper and cardboard27101Typographer and related professions27102Lithographer27103Reprographer27104Other profession in graphic arts and page formatting/set up27201Printers27202Reproduction and photocopy professions27301Bookbinders28101Chemical laboratory assistants and laboratory assistants not classified elsewhere28102[Chemical operators]28103Laboratory photographers29101Merchandise testers, inspectors and sorters29103Warehousers and handlers29104Other professions in processing and manufacturing31101Architects31102Building engineers31103Computer engineers31104Machine engineers31106Electrical engineers31107Micro-technical and electronics engineers31108Forestry engineers31109Agronomist and agronomic engineers31110Agricultural/rural engineers and surveyors31111Municipal landscape planners 31112Chemical and food technology engineers31113Other engineers32101Electrical engineering technician32102Electronics technicians32103Building and civil engineering technicians, construction foreman32104Machine technicians32105Textile industry technicians32107Heating, venting and air conditioning (HVAC) technicians32108Vehicle technicians and aeronautic technicians32109Other technicians33101Building and civil engineering drafts people/designers33102Surveyor-drafters33103Technical drafts people33104Metal building/construction drafts people/designers33105Machine drafts people/designers33106Installation drafts people/designers33107Interior designers33108Electrical drafts people/designers33109Other professions in technical design34101[Technical operations managers [no additional information]]34102Production experts34103Foreman [no additional information]34104Other trained workers and [technical users]35102Building machinists35104Other machinists35105Boiler operators35106Machine and installation monitors, [tank verifier]36101Computer scientist36102Programmer36103Computer operators36105Other computer-related professions41101Masons41102Concrete layers, construction cementers and related professions41103Carpenters41104Road builders41106Mining specialists, tunnel builders41107Building contractors, building and civil engineering foremen and related professions41108Other professions in the building industry41201Floor layers, parquetry workers and tile layers 41202Roofer41203Plasterers, stucco plasterers and related activities41204Painters, upholsterers41205Installers and assemblers of heating and ventilation systems41206Building [tinsmithers]41207Soundproofer/insulator41208Professions in the construction of indoor fireplaces and glazed tile heating stoves, and chimney sweeps41209Glaziers41210Installers and electrical assemblers/fitters41211[Sanitary/health planners and installers]41212Other professions in [construction and finishing]42201Stone masons42202Other stone works and stone polishers51101Buyers51102Salespeople, retail employees51103Cashiers51104Booksellers, editors51105[Pharmacist's assistant/hardware dealer]51107Other sales professions51108Representatives, traveling salesperson51109Other shopkeepers and dealers 52101Advertising specialists52102Public relations specialists52103Marketing specialists52201Travel agency employees52202Tour guides of organized trips, guides, [hostess/stewardess]52203Other tourism and leisure specialists52301Certified public accountants and auditors52302[Trust officers, fiscal advisors]52303Other [service industry retailers]52401Brokers, auctioneers53101[Railway operations' controllers, station attendants, railway secretaries]53102[Track fitters], railroad track menders/repair53105[Conductor/inspector/controller] (public transportation)53106Train and tram conductors and related professions53108Other profession in rail and cable traffic53201Professions in the transportation of people and related professions53202Truck drivers53203Other drivers53204Driving-school teachers and automobile experts53301Boat captains, helmsmen and related professions53302Sailors and other professions in sailing53401Pilots, flight instructors53402Air traffic controllers53403Cabin personnel and related professions53404Other air traffic professions53501Transportation and shipping personnel54101Post, telephone and telegram office employees and [operations' secretaries]54102Post, telephone and telegram [operations' assistants]54103Post, telephone and telegraph civil servants in distribution54104Telephone and telegraph operators54105Other post, telephone and telegraph professions54106Other telecommunications specialists61101Hotel and restaurant managers61103Service personnel61104Chambermaids and linen service and storeroom personnel61105Kitchen personnel61106Other food service industry professions61201Housekeepers61202Household employees62101Textile cleaners, dry cleaners62102Ironers, laundry workers62104Chimney sweeps62301Hairdressers62302Beauticians62303Manicures and pedicures71101[Business people/contractors/promoters/entrepreneurs], directors71102Upper level managers in public administration71104Personnel specialists71105Mid-level managers/executives [no additional information]72101Business and office white collar employees not classified elsewhere72102Administrative civil servants and related professions72103Accountants72104Building specialists and managers72105Import and export specialists72106Organization and planning specialists and related professions73101Banking professions not classified elsewhere73103Insurance professions not classified elsewhere74101Police74102Security guards, watchmen74105Other security professions74106Customs and border guards75103Lawyers and [legal professionals who can draw up certain contracts]75104Other legal representatives and legal advisers81101Journalists and editors81102Proofreaders, reviewers81103Translators, interpreters81201Librarian81301Scenery painters and prop men/women81302Stage managers, directors and producers81305Photographers81306Other professions in audio-visual production82101Musicians, composers and conductors82102Singers82201Actors82202Dancers, dance teachers and choreographers82301Stone sculptors82302Painters, designers/draftsmen82303Graphic artists and [poster designers]82304Fashion designers and creators82305Other artistic creators82401Goldsmiths82402Other jewelry makers82404Ceramicist, potter82405Glass and ceramic painters82406Musical instrument manufacturers and tuners82407Decorators and window dressers82408Art restorers82409Interior designers82410Other [master craftsmen]83101Social workers83102Special education teachers83103Directors of [hostel/shelter/halfway home/retirement home], day care centers83104Other social work professions83201Ordained preachers, pastors83202Other professions providing spiritual assistance83203Members of a religious order83204Professional assistants in spiritual assistance84101University professors84201Secondary education teachers (high schools, vocational schools, teaching schools, business schools)84301Teachers of upper-level classes, [practical training classes] and [career] orientation classes84401Teacher (primary school)84501Pre-school and kindergarten teachers84601Teachers in professional and specialized schools84602[Teachers in a special education program class, therapeutic educationalists]84603Music and voice teachers84604Drawing and manual arts teachers84605Physical education teachers84701Teachers of adult education84702Various specialized teachers84703Teachers and instructors84704Educationalists85101Professions in economics85102Sociologists and political scientists85103Psychologists and employment counselors85201Philologists85202Historians and archeologists85203Other professions in the humanities85301Biologists85302Geographers, meteorologists85303Chemists85304Mathematicians, statisticians85305Physicians85307Other profession in the natural and physical sciences86101Doctors86102Medical assistants86103Pharmacists86104Pharmacists assistants86201Physical and occupational therapists86202Psychotherapist (non doctors)86204Opticians86205Massage therapists86206Medico-technical assistants86207Other therapy and medico-technical professions86208Medical laboratory technicians86301Dentists86302Dental mechanics/technicians86303Dentist's assistants86304Dental hygienists86401Veterinarians86402Veterinary assistants86501Midwives86502Pediatric and maternal health care nurses86503Psychiatric nurses86504[Degree-holding] nurse86505Hospital aids and nurses aids86506Family helpers, community or otherwise86507Other caring professions91106Service industry professions not classified elsewhere91108Other non-classified professions93101Secondary II diplomas93102[Tertiary diplomas]93103Unattributable diplomas99900Other profession, response suppressed99998Unknown99999NIU (not in universe)Education Variables -- PERSONPresent occupation<svar v="CH90A418 CH90A415 CH90A416 CH90A417"><span class="h3">II. Profession: Questions to employed, unemployed and persons no longer employed</span><br /></svar></p>
<p><svar v="CH90A415 CH90A416 CH90A417" a="all"><span class="em">13. Professional occupation</span><br /><div class="i1">For employed persons: What is your present occupation? ________<br /><br />For unemployed persons and those no longer employed: What was your last occupation? ________</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the present occupation of the person.11101Farmers11102Farm assistants11103Other agricultural assistants not classified elsewhere11201Tree farmers11202Wine grower11203Truck farmers11301Breeders and herders of large livestock 11302Breeder and herders of small livestock and animals11303Bee keepers and related professions11305Other animal-herding professions11401Horticultural professions and related professions11402Florists11501Forest rangers11502Lumberjacks [forestiers bûcherons] and forestry workers11503Professions related to hunting and [wildlife conservation/game warden]11504Professions related to fishing21101Makers of cheese and dairy products21102Butchers21103Bread, candy and pastry makers21104Millers21105Other professions related to food production21201Brewers and maltsters21202Cellar masters and beverage technologists and related professions21302Food product testers and tasters22101Spinning professions22102Weaving professions22103Professions in textile finishing and dying22104Other professions related to textile production22201Tailors22202Sewers22203Embroiderers22204Other professions in the field of textile product processing22301Tanners, leather processors22302Shoe makers and other professions in the shoe industry22303Saddle/harness makers22304Other leather-related professions22305Fur dealers and furriers23101Glass blowers23102Opticians23104Ceramic industry and processing professions24101Foundry worker and related fields24102Core makers, foundry casters24103Other professions in metal production24201Professions in secondary metals processing without [removal of shavings]24202Galvanizers and professions in metal surface refining24203Metal polishing and grinding24205Milling machine operators and planers24206Metal drillers24207Industrial metal turners24208[Makers of small metal pieces such as bolts, screws, medical tools, etc.]24209Other workers in secondary metals processing24301Welders and other professions in metal joining24302Constructors of industrial equipment24303[Industrial tinplating]24304Blacksmiths not classified elsewhere24305Metal constructors and locksmiths24306[Locksmith-constructors]24307Locksmiths not classified elsewhere24308Other metal machining professions24401Mechanics24402Precision mechanics and micromechanics24403Locksmiths and machine fitters and related professions24404[Engine and maintenance fitters] and other mechanics24405Other fitters25101Vehicle electricians and electronics fitters25102Electronics fitters25103Electronic technicians (radio/TV/video)25104Network electricians and cable fitters25105Wire operator/spooler and related professions25106Other electricians not classified elsewhere25107Electronics professions25108[Telephone and telegraph set up]25201Watchmaker25202Other watch making25301Vehicle construction professions (land, water, air)25302Automobile mechanics25303Motorcycle and bicycle mechanics25304Agricultural-machine, worksite and small-appliance mechanics, 25305Industrial lacquerers/varnishers and automobile painters25306Gas station attendants and staff not classified elsewhere26101Sawers, [wood carvers/jigsaw operators]26102Turners of wood and related materials26103Cabinet makers26104Carpenter-joiners26105Other carpenters26106Other woodworking professions and profession in the manufacture of cork, wicker and woven items.26202Other professions in wood-surface processing26301Professions in paper and cardboard manufacture and related professions26302Other professions in the manufacture and processing of paper and cardboard27101Typographer and related professions27102Lithographer27103Reprographer27104Other profession in graphic arts and page formatting/set up27201Printers27202Reproduction and photocopy professions27301Bookbinders27302Other professions in bookbinding and forwarding/converting (of printed products)28101Chemical laboratory assistants and laboratory assistants not classified elsewhere28102[Chemical operators]28103Laboratory photographers28104Other professions in the processing and manufacture of chemical products28201Professions in the manufacture and processing of plastics28202Profession in rubber working29101Merchandise testers, inspectors and sorters29102Packagers29103Warehousers and handlers29104Other professions in processing and manufacturing31101Architects31102Building engineers31103Computer engineers31104Machine engineers31105Heating, venting and air conditioning engineers31106Electrical engineers31107Micro-technical and electronics engineers31109Agronomist and agronomic engineers31110Agricultural/rural engineers and surveyors31111Municipal landscape planners 31112Chemical and food technology engineers31113Other engineers32101Electrical engineering technician32102Electronics technicians32103Building and civil engineering technicians, construction foreman32104Machine technicians32105Textile industry technicians32107Heating, venting and air conditioning (HVAC) technicians32109Other technicians33101Building and civil engineering drafts people/designers33102Surveyor-drafters33103Technical drafts people33104Metal building/construction drafts people/designers33105Machine drafts people/designers33106Installation drafts people/designers33107Interior designers33108Electrical drafts people/designers33109Other professions in technical design34101[Technical operations managers [no additional information]]34102Production experts34103Foreman [no additional information]34104Other trained workers and [technical users]35102Building machinists35104Other machinists35105Boiler operators35106Machine and installation monitors, [tank verifier]36101Computer scientist36102Programmer36103Computer operators36105Other computer-related professions41101Masons41102Concrete layers, construction cementers and related professions41103Carpenters41104Road builders41106Mining specialists, tunnel builders41107Building contractors, building and civil engineering foremen and related professions41108Other professions in the building industry41201Floor layers, parquetry workers and tile layers 41202Roofer41203Plasterers, stucco plasterers and related activities41204Painters, upholsterers41205Installers and assemblers of heating and ventilation systems41206Building [tinsmithers]41207Soundproofer/insulator41208Professions in the construction of indoor fireplaces and glazed tile heating stoves, and chimney sweeps41209Glaziers41210Installers and electrical assemblers/fitters41211[Sanitary/health planners and installers]41212Other professions in [construction and finishing]42201Stone masons42202Other stone works and stone polishers42301Profession in the manufacture of construction materials and building stone51101Buyers51102Salespeople, retail employees51103Cashiers51104Booksellers, editors51105[Pharmacist's assistant/hardware dealer]51106Animal dealer/salesperson51107Other sales professions51108Representatives, traveling salesperson51109Other shopkeepers and dealers 52101Advertising specialists52102Public relations specialists52103Marketing specialists52104Market research and opinion poll specialists52201Travel agency employees52202Tour guides of organized trips, guides, [hostess/stewardess]52203Other tourism and leisure specialists52301Certified public accountants and auditors52302[Trust officers, fiscal advisors]52303Other [service industry retailers]52401Brokers, auctioneers53101[Railway operations' controllers, station attendants, railway secretaries]53102[Track fitters], railroad track menders/repair53103Signalmen, [signal box officials]53104[Yard/depot workers and unskilled laborers] (railroads)53105[Conductor/inspector/controller] (public transportation)53106Train and tram conductors and related professions53107Cable rail and aerial tram personnel53108Other profession in rail and cable traffic53201Professions in the transportation of people and related professions53202Truck drivers53203Other drivers53204Driving-school teachers and automobile experts53302Sailors and other professions in sailing53401Pilots, flight instructors53402Air traffic controllers53403Cabin personnel and related professions53404Other air traffic professions53501Transportation and shipping personnel53502Errand boys, messengers53503Other transport and traffic professions54101Post, telephone and telegram office employees and [operations' secretaries]54102Post, telephone and telegram [operations' assistants]54103Post, telephone and telegraph civil servants in distribution54104Telephone and telegraph operators54105Other post, telephone and telegraph professions54106Other telecommunications specialists61101Hotel and restaurant managers61102Reception personnel61103Service personnel61104Chambermaids and linen service and storeroom personnel61105Kitchen personnel61106Other food service industry professions61201Housekeepers61202Household employees62101Textile cleaners, dry cleaners62102Ironers, laundry workers62103Building caretakers and cleaners62104Chimney sweeps62105Other cleaning professions62202Trash removal and recycling professions62203Other professions in public sanitation62301Hairdressers62302Beauticians62303Manicures and pedicures71101[Business people/contractors/promoters/entrepreneurs], directors71102Upper level managers in public administration71103Party and association secretaries and officials71104Personnel specialists71105Mid-level managers/executives [no additional information]72101Business and office white collar employees not classified elsewhere72102Administrative civil servants and related professions72103Accountants72104Building specialists and managers72105Import and export specialists72106Organization and planning specialists and related professions72107Other administrative office employees73101Banking professions not classified elsewhere73102Insurance inspectors and agents73103Insurance professions not classified elsewhere74101Police74102Security guards, watchmen74103Professional firefighters, civil protection74104Career military personnel and related professions74105Other security professions74106Customs and border guards75101Judges and prosecutors75102Court clerks75103Lawyers and [legal professionals who can draw up certain contracts]75104Other legal representatives and legal advisers81101Journalists and editors81102Proofreaders, reviewers81103Translators, interpreters81104Other authors of texts, other media professionals: written press, audio-visual81201Librarian81202Archivist, [research assistant/librarian/file clerk]81203Curators, museum professionals81301Scenery painters and prop men/women81302Stage managers, directors and producers81303Audio-visual technicians81304Cameramen/women and image technicians81305Photographers81306Other professions in audio-visual production82101Musicians, composers and conductors82102Singers82201Actors82202Dancers, dance teachers and choreographers82203Artists82204Models82205Other show business professions82301Stone sculptors82302Painters, designers/draftsmen82303Graphic artists and [poster designers]82304Fashion designers and creators82305Other artistic creators82401Goldsmiths82402Other jewelry makers82404Ceramicist, potter82405Glass and ceramic painters82406Musical instrument manufacturers and tuners82407Decorators and window dressers82408Art restorers82409Interior designers82410Other [master craftsmen]83101Social workers83102Special education teachers83103Directors of [hostel/shelter/halfway home/retirement home], day care centers83104Other social work professions83201Ordained preachers, pastors83202Other professions providing spiritual assistance83203Members of a religious order83204Professional assistants in spiritual assistance84101University professors84102University assistants [no additional information]84201Secondary education teachers (high schools, vocational schools, teaching schools, business schools)84301Teachers of upper-level classes, [practical training classes] and [career] orientation classes84401Teacher (primary school)84501Pre-school and kindergarten teachers84601Teachers in professional and specialized schools84602[Teachers in a special education program class, therapeutic educationalists]84603Music and voice teachers84604Drawing and manual arts teachers84605Physical education teachers84701Teachers of adult education84702Various specialized teachers84703Teachers and instructors84704Educationalists85101Professions in economics85102Sociologists and political scientists85103Psychologists and employment counselors85202Historians and archeologists85301Biologists85302Geographers, meteorologists85303Chemists85304Mathematicians, statisticians85305Physicians85306Experts in environmental protection86101Doctors86102Medical assistants86103Pharmacists86104Pharmacists assistants86201Physical and occupational therapists86202Psychotherapist (non doctors)86204Opticians86205Massage therapists86206Medico-technical assistants86207Other therapy and medico-technical professions86208Medical laboratory technicians86301Dentists86302Dental mechanics/technicians86303Dentist's assistants86304Dental hygienists86401Veterinarians86402Veterinary assistants86501Midwives86502Pediatric and maternal health care nurses86503Psychiatric nurses86504[Degree-holding] nurse86505Hospital aids and nurses aids86506Family helpers, community or otherwise86507Other caring professions87101Professional athletes and sports trainers91106Service industry professions not classified elsewhere91107Non classified professions in public administration91108Other non-classified professions92101Persons whose professional activity cannot be defined99000Other occupation, response suppressed99998Unknown99999NIU (not in universe)Work: Occupation Variables -- PERSONPresent occupation (ISCO-COM), 3 digits<svar v="CH90A418 CH90A415 CH90A416 CH90A417"><span class="h3">II. Profession: Questions to employed, unemployed and persons no longer employed</span><br /></svar></p>
<p><svar v="CH90A415 CH90A416 CH90A417" a="all"><span class="em">13. Professional occupation</span><br /><div class="i1">For employed persons: What is your present occupation? ________<br /><br />For unemployed persons and those no longer employed: What was your last occupation? ________</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the present occupation (3-digit ISCO) of the person.010Armed forces112Senior government officials114Senior officials of special-interest organizations121Directors and chief executives122Production and operations department managers123Other department managers131General managers211Physicists, chemists and related professionals212Mathematicians, statisticians and related professionals213Computing professionals214Architects, engineers and related professionals221Life science professionals222Health professionals (except nursing)231College, university and higher education teaching professionals232Secondary education teaching professionals234Special education teaching professionals235Other teaching professionals241Business professionals242Legal professionals243Archivists, librarians and related information professionals244Social science and related professionals245Writers and creative or performing artists246Religious professionals311Physical and engineering science technicians312Computer associate professionals313Optical and electronic equipment operators314Ship and aircraft controllers and technicians315Safety and quality inspectors321Life science technicians and related associate professionals322Modern health associate professionals (except nursing)323Nursing and midwifery associate professionals331Primary education teaching associate professionals332Pre-primary education teaching associate professionals334Other teaching associate professionals341Finance and sales associate professionals342Business services agents and trade brokers343Administrative associate professionals344Customs, tax and related government associate professionals347Artistic, entertainment and sports associate professionals348Religious associate professionals411Secretaries and keyboard-operating clerks413Material-recording and transport clerks414Library, mail and related clerks421Cashiers, tellers and related clerks422Client information clerks511Travel attendants and related workers512Housekeeping and restaurant services workers513Personal care and related workers514Other personal services workers516Protective services workers521Fashion and other models522Shop salespersons and demonstrators611Market gardeners and crop growers612Market-oriented animal producers and related workers613Market-oriented crop and animal producers614Forestry and related workers615Fishery workers, hunters and trappers711Miners, shot firers, stone cutters and carvers712Building frame and related trades workers713Building finishers and related trades workers714Painters, building structure cleaners and related trades workers721Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers722Blacksmiths, tool-makers and related trades workers723Machinery mechanics and fitters724Electrical and electronic equipment mechanics and fitters731Precision workers in metal and related materials732Potters, glass-makers and related trades workers733Handicraft workers in wood, textile, leather and related materials734Printing and related trades workers741Food processing and related trades workers742Wood treaters, cabinet-makers and related trades workers743Textile, garment and related trades workers744Pelt, leather and shoemaking trades workers812Metal-processing-plant operators814Wood-processing- and papermaking-plant operators816Power-production and related plant operators821Metal- and mineral-products machine operators822Chemical-products machine operators823Rubber- and plastic-products machine operators825Printing-, binding- and paper-products machine operators826Textile-, fur- and leather-products machine operators827Food and related products machine operators829Other machine operators and assemblers831Locomotive-engine drivers and related workers832Motor-vehicle drivers833Agricultural and other mobile-plant operators834Ships' deck crews and related workers913Domestic and related helpers, cleaners and launderers914Building caretakers, window and related cleaners915Messengers, porters, doorkeepers and related workers916Garbage collectors and related labourers921Agricultural, fishery and related labourers931Mining and construction labourers932Manufacturing labourers990Other occupation, response suppressed999NIU (not in universe)Work: Occupation Variables -- PERSONPresent occupation (ISCO-COM)<svar v="CH90A418 CH90A415 CH90A416 CH90A417"><span class="h3">II. Profession: Questions to employed, unemployed and persons no longer employed</span><br /></svar></p>
<p><svar v="CH90A415 CH90A416 CH90A417" a="all"><span class="em">13. Professional occupation</span><br /><div class="i1">For employed persons: What is your present occupation? ________<br /><br />For unemployed persons and those no longer employed: What was your last occupation? ________</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the present occupation (4-digit ISCO) of the person.0100Armed forces1120Senior government officials1140Senior officials of special-interest organizations1210Directors and chief executives1222Production and operations department managers in manufacturing1225Production and operations department managers in restaurants and hotels1226Production and operations department managers in transport, storage and communications1230Other department managers1319General managers not elsewhere classified2110Physicists, chemists, and related professionals2111Physicists and astronomers2113Chemists2121Mathematicians and related professionals2130Computing professionals2131Computer systems designers and analysts2139Computing professionals not elsewhere classified2140Architects, engineers, and related professionals2141Architects, town, and traffic planners2142Civil engineers2143Electrical engineers2144Electronics and telecommunications engineers2145Mechanical engineers2146Chemical engineers2148Cartographers and surveyors2211Biologists, botanists, zoologists, and related professionals2213Agronomists and related professionals2221Medical doctors2222Dentists2223Veterinarians2224Pharmacists2310College, university, and higher education teaching professionals2320Secondary education teaching professionals 2340Special education teaching professionals 2351Education methods specialists2359Other teaching professionals not elsewhere classified2411Accountants2412Personnel and careers professionals2419Business professionals not elsewhere classified2420Legal professionals 2422Judges2431Archivists and curators2432Librarians and related information professionals2440Social science and related professionals 2444Philologists, translators, and interpreters2445Psychologists2446Social work professionals2450Writers and creative or performing artists2451Authors, journalists, and other writers2452Sculptors, painters, and related artists2453Composers, musicians, and singers2454Choreographers and dancers2455Film, stage, and related actors and directors2460Religious professionals 3110Physical and engineering science technicians 3112Civil engineering technicians3113Electrical engineering technicians3114Electronics and telecommunications engineering technicians3115Mechanical engineering technicians3116Chemical engineering technicians3118Draughts persons3119Physical and engineering science technicians not elsewhere classified3122Computer equipment operators3130Optical and electronic equipment operators 3131Photographers and image and sound recording equipment operators3133Medical equipment operators3139Optical and electronic equipment operators not elsewhere classified3143Aircraft pilots and related associate professionals3144Air traffic controllers3152Safety, health, and quality inspectors3212Agronomy and forestry technicians3220Modern health associate professionals (except nursing) 3221Medical assistants3222Sanitarians3224Optometrist and opticians3225Dental assistants3226Physiotherapists and related associate professionals3227Veterinary assistants3228Pharmaceutical assistants3231Nursing associate professionals3232Midwifery associate professionals3310Primary education teaching associate professionals 3320Pre-primary education teaching associate professionals 3340Other teaching associate professionals 3410Finance and sales associate professionals 3412Insurance representatives3413Estate agents3415Technical and commercial sales representatives3416Buyers3420Business services agents and trade brokers 3422Clearing and forwarding agents3429Business services agents and trade brokers not elsewhere classified3430Administrative associate professionals 3432Legal and related business associate professionals3433Bookkeepers3440Customs, tax, and related government associate professionals3441Customs and border inspectors3449Customs, tax and related government associate professionals not elsewhere classified3470Artistic, entertainment, and sports associate professionals3471Decorators and commercial designers3474Clowns, magicians, acrobats, and related associate professionals3475Athletes, sportspersons, and related associate professionals3480Religious associate professionals 4110Office clerks4131Stock clerks4133Transport clerks4142Mail carriers and sorting clerks4143Coding, proof-reading, and related clerks4210Cashiers, tellers, and related clerks4211Cashiers and ticket clerks4212Tellers and other counter clerks4221Travel agency and related clerks4222Receptionists and information clerks4223Telephone switchboard operators5111Travel attendants and travel stewards5112Transport conductors5113Travel guides5121Housekeepers and related workers5122Cooks5123Waiters, waitresses, and bartenders5130Personal care and related workers 5132Institution-based personal care workers5133Home-based personal care workers5140Other personal services workers 5141Hairdressers, barbers, beauticians, and related workers5160Protective services workers 5161Fire-fighters5162Police officers5169Protective services workers not elsewhere classified5210Fashion and other models 5220Shop salespersons and demonstrators 6110Market gardeners and crop growers6111Field crop and vegetable growers6112Tree and shrub crop growers6120Market-oriented animal producers and related workers 6122Poultry producers6130Market-oriented animal producers and related workers 6141Forestry workers and loggers6152Inland and coastal waters fishery workers6154Hunters and trappers7110Miners, shot firers, stone cutters, and carvers7113Stone splitters, cutters, and carvers7120Building frame and related trades workers7122Bricklayers and stonemasons7123Concrete placers, concrete finishers, and related workers7124Carpenters and joiners7130Building finishers and related trades workers 7131Roofers7132Floor layers and tile settlers7133Plasterers7134Insulation workers7135Glaziers7136Plumbers and pipe fitters7137Building and related electricians7139Building finishers and related trades workers, not classified elsewhere7141Painters and related workers7143Building structure cleaners7210Metal moulders, welders, sheet-metal workers, structural-metal preparers, and related trades workers7211Metal moulders and core makers7212Welders and flame cutters7213Sheet metal workers7220Blacksmiths, tool-makers and related trades workers7221blacksmiths, hammer-smiths, and forging-press workers7222Tool-makers and related workers7223Machine-tool setters and setter operators7224Metal wheel-grinders, polishers, and tool sharpeners7230Machinery mechanics and fitters7231Motor vehicle mechanics and fitters7233Agricultural- or industrial-machinery mechanics, and fitters7240Electrical and electronic equipment mechanics and fitters 7241Electrical mechanics and fitters7242Electronic fitters7244Telegraph and telephone installers and servicers7245Electrical line installers, repairers and cable jointers7311Precision-instrument makers and repairers7312Musical instrument makers and tuners7313Jewellery and precious-metal workers7320Potters, glass-makers and related trades workers 7321Abrasive wheel formers, potters, and related workers7322Glass makers, cutters, grinders, and finishers7324Glass, ceramics, and related decorative painters7330Handicraft workers in wood, textile, leather, and related workers7340Printing and related trades workers 7341Compositors, typesetters, and related workers7343Printing engravers and etchers7344Photographic and related workers7345Bookbinders and related workers7411Butchers, fishmongers, and related food preparers7412Bakers, pastry-cooks, and confectionery makers7413Dairy-products makers7415Food and beverage tasters and graders7420Wood treaters, cabinet-makers, and related trades workers7421Wood treaters7422Cabinet makers and related workers7423Woodworking machine setters and setter-operators7430Textile, garment, and related trades workers7433Tailors, dressmakers, and hatters7434Furriers and related workers7436Sewers, embroiderers, and related workers7437Upholsterers and related workers7440Pelt, leather and shoemaking trades workers 7441Pelt dressers, tanners, and fellmongers7442Shoe-makers and related workers8120Metal-processing-plant operators8122Metal-melters, casters, and rolling-mill operators8123Metal-heat-treating-plant operators8140Wood-processing- and papermaking-plant operators 8160Power-production and related plant operators 8211Machine-tool operators8212Cement and other mineral products machine operators8229Chemical-products machine operators 8231Rubber-products machine operators8232Plastic-products machine operators8251Printing-machine operators8253Paper-products machine operators8261Fibre-preparing-, spinning-, and winding-machine operators8262Weaving- and knitting-machine operators8264Bleaching-, dyeing-, and cleaning-machine operators8270Food and related products machine operators 8273Grain- and spice-milling-machine operators8278Brewers, wine, and other beverage machine operators8290Other machine operators and assemblers 8310Locomotive-engine drivers and related workers 8311Locomotive-engine drivers8312Railway brakers, signalers, and shunters8320Motor-vehicle drivers 8324Heavy-truck and lorry drivers8330Agricultural and other mobile-plant operators 8333Crane, hoist, and related plant operators8340Ships- deck crews and related workers9130Domestic and related helpers, cleaners, and launderers9132Helpers and cleaners in offices, hotels, and other establishments9140Building caretakers, window, and related cleaners9151Messengers, porters, doorkeepers, and related workers9161Garbage collectors9162Sweepers and related laborers9211Farm-hands and labourers9312Construction and maintenance labourers: roads, dams, and similar constructions9320Manufacturing labourers9990Other occupation, response suppressed9999NIU (not in universe)Work: Occupation Variables -- PERSONPosition in principal employment<svar v="CH90A418 CH90A415 CH90A416 CH90A417"><span class="h3">II. Profession: Questions to employed, unemployed and persons no longer employed</span><br /></svar></p>
<p><svar v="CH90A418" a="all"><span class="em">12. Professional status</span><br /><div class="i1">For employed persons: please indicate your professional status.<br /><br />For unemployed persons and those no longer employed: please indicate your professional status in your last job:<br /><br />[] 1 Self-employed (own business, free-lance)<br />[] 2 Relative employed in family business<br />[] 3 Employed as apprentice (indentured or not)<br />[] 4 Employed as manager, executive employee, senior civil servant<br />[] 5 Employed at middle and lower levels, e.g. as office manager, section head, branch manager/ess, workshop foreman, foreman<br />[] 6 Employed in another function, e.g. as white-collared worker, blue-collared worker, trainee<br />[] 7 Other position, namely: ____</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the position in principal employment of the person.1Self employed3Co-working family member4Apprentice5Employed in company management6Employed not in company management8Unknown9NIU (not in universe)Work Variables -- PERSONTime worked (hours)<svar v="CH90A419 CH90A400" a="all"><span class="em">10. Current principal occupation, source of income</span><br /><div class="i1">(More than one answer can be given here)<br /><br />[] 1 Part-time occupation with single job</div><br /><div class="i2">Number of hours per week: _ _</div><br /><div class="i1">[] 2 Part-time occupation with two or more jobs</div><br /><div class="i2">Total number of hours per week: _ _</div><br /><div class="i1">[] 3 Fully employed</div><br /><div class="i2">Number of hours per week: _ _</div><br /><div class="i1">[] 4 Unemployed at present, but looking for a job<br />[] 5 Unemployed at present, but future job assured<br />[] 6 Unemployed at present and not looking for a job<br />[] 7 Housework in own household<br />[] 8 Undergoing education (school, studies, apprenticeship)<br />[] 9 None, under school age<br />[] 10 Retired, pensioner<br />[] 11 Other situation, namely ________</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the number of hours per week the person worked.1Part time with 1-5 hours per week2Part time with 6-24 hours per week3Part time with 25+ hours per week4Part time, no hours stated5Full time9NIU (not in universe)Work Variables -- PERSONBranch of economic activity (industry)Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the industry of employment of the person.010Agriculture020Horticulture030Forestry040Fishing110Energy and water supply211Meat industry (excluding butchering)212Dairy industry213Flour/semolina/groats mills214Canned goods, fruit and vegetable juices216Manufacture of sugar, candy, chocolate, bread, pastry and other food products 219Animal feed220Beverage industry230Tobacco industry241Spinning, weaving245Machine embroidery246Textile finishing247Other textile industries251Production of clothing and underwear255Production of hats, fur garments and pelts261Wood and wood furniture industry262Wood, cork, wicker and rattan articles271Manufacture of pulp, cellulose, paper and cardboard272Paper and cardboard processing280Printing and editing industries291Manufacture of leather articles293Footwear industry311Manufacture of primary and finished chemical products314Oil refining321Manufacture of plastic articles322Manufacture of rubber articles331Non-metal products industry (includes salt, petroleum and natural gas extraction)333Manufacture of cement, lime, [gypsum] as well as products made with cement and concrete 335Manufacture of ceramic products336Glass industry341Metal manufacturing and processing344Secondary processing, [metal curing and plating]345Metal buildings, manufacture of metal items, mechanics' workshops350Machine and vehicle construction, electrical, electronic and optical construction371Clock making372Jewelry, engraving and minting381Manufacture of musical instruments382Manufacture of games, toys and sports items383Photo and motion picture darkroom384Other processing of various materials/equipment410Civil engineering, building and general construction421Plumbing, [tin plating], ventilation; air conditioning422Other interior improvements (excluding plumbing)423Electrical wiring511Various wholesale and retail commercial products512Food, beverage and tobacco products in wholesale and retail businesses513Drug and pharmaceutical products, chemical wholesale and retail industrial products514Raw materials in the textile industry, textiles and leather in wholesale and retail businesses516Furniture, bedding, rugs/carpets 517Paper, papermaking, books, magazines, office supplies518Precision instruments, optical, radio, TV, musical instruments, clock making in wholesale and retail businesses519Machines, vehicles and technical equipment in wholesale and retail businesses570Restaurant and lodging580Repair activity610Railroads630Shipping640Air transport651Passenger and merchandise road transportation, pipeline transportation, transportation support activity652Other brokers/salespeople in transportation including travel agencies660Communication activity710Banking and finance activity720Insurance730Real estate offices751[Consulting and planning offices], commercial, legal and computer services, rental, leasing752[Trust company], certified public accountant 753Law firm, notary office [not a notary public, but someone with legal jurisdiction to draft wills, contracts, etc.]761Commercial laundry, dry cleaning762Hair and beauty salon763Cleaning service, funeral home, animal boarding, other personal services810Teaching (private and public)820research and development831Doctor and veterinary offices, paramedical services, other health service institutions833Hospitals, clinics, care facilities840Public roads and waterway services851Homes, [hostels/shelters/halfway homes/retirement homes]855Organization of social work861Religious and philosophical organizations862Convent, congregation870Service to the community, social advocacy881Literary activity, activity related to language, plastic arts, sports, leisure and other cultural institutions882Cinema, theater, dance and music886Films, radio and television studios890Domestic services911Public administration912Institutions enforcing prison sentences998Unknown999NIU (not in universe)Work: Industry Variables -- PERSONJudicial form of the enterpriseSwitzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the judicial form of the enterprise of the person.1Private enterprise2Federal government3Cantonal government4Municipalities5International bodies: embassies, consulates foreign companies such as rail road and airlines8Unknown or apprentices9NIU (not in universe)Work Variables -- PERSONSocio-economic status in employmentSwitzerland 1990: Persons age 15+ [discrepancies: none]This variable indicates the socioeconomic status in employment of the person.010Directors/CEOs020Liberal professions031Farm executives032Artisans033Self-employed in business and communication services034Self-employed in social and personal services041Engineers and technical managers in agriculture042Engineers and technical managers in production and construction043Executives in business and communication services044Executives in social and personal services051[Technical brokers/salespeople in agriculture]052[Technical brokers/salespeople in production and construction]053Brokers/salespeople in business and communication services 054Brokers/salespeople in social and personal services062Technical production and construction white collar employees 063White collar employees in business and communication services064White collar employees in social and personal services071Agricultural workers072Production and construction workers073Workers in business and communication services074Workers in social and personal services081Unskilled agricultural labor082Unskilled production and construction labor083Unskilled labor in business and communication services084Unskilled labor in social and personal services090Unattributable employed working persons 200Unemployed, laid off301Non-active in training303Non-active doing housework304Non-active retired and living off investment or retirement income305Other non-active999NIU (not in universe)Work Variables -- PERSONTime to commute (travel duration) to work<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A423 CH90A424 CH90A426 CH90A427"><span class="em">15. Time required for the journey to work or school</span><br /></svar></p>
<p><svar v="CH90A423 CH90A426" a="all"><div class="i1">How much time do you normally require for one journey to work or school?</div><br /><div class="i2">[] 1 None, I live where I work/go to school<br />[] 2 Up to 15 minutes<br />[] 3 From 15 to 30 minutes<br />[] 4 From 30 to 45 minutes<br />[] 5 From 45 minutes to 1 hour<br />[] 6 Over 1 hour</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the length of time (in minutes and hours) the person uses to commute to work.1No commuting distance2Up to 15 minutes316-30 minutes431-60 minutes5More than 1 hour8Unknown9NIU (not in universe)Work Variables -- PERSONRound trips (how often) to commute to work<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A423 CH90A424 CH90A426 CH90A427"><span class="em">15. Time required for the journey to work or school</span><br /></svar></p>
<p><svar v="CH90A424 CH90A427" a="all"><div class="i1">How often do you normally make the journey there and back?</div><br /><div class="i2">[] 1 Once a day<br />[] 2 Twice a day or more often</div><br /></svar>Switzerland 1990: Persons age 15+ and employed[discrepancies: none]This variable indicates the frequency of round trips the person makes to and from work.1There and back once a day2There and back twice or more per day8Unknown or works at home or works on the road9NIU (not in universe)Work Variables -- PERSONMeans of transport (travel mode) to work<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A425 CH90A428" a="all"><span class="em">16. Means of transport</span><br />What means of transport do you usually use for one journey to work or school? (If you sue several means of transport, please list all of these)<br /><div class="i1">[] 1 None, I go the whole way on foot<br />[] 2 Bicycle<br />[] 3 Moped<br />[] 4 Motorcycle, scooter<br />[] 5 Private car as driver<br />[] 6 Private car as passenger<br />[] 7 Firm bus, school bus<br />[] 8 Train (SFR, private railways)<br />[] 9 Post-office bus, coach<br />[] 10 Tram, municipal bus, trolleybus<br />[] 11 Others (e.g. boat, cable railway)</div><br /></svar>Switzerland 1990: Persons age 15+ and employed [discrepancies: none]This variable indicates the mode of transport the person uses to commute to and from work.01No commute02Solely on foot10Train13Train+street car, bus, post bus15Train+car (driver, passenger)18Train+bicycle, moped30Street car, bus, post bus35Street car, bus, post bus+car (driver, passenger)38Street car, bus, post bus+bicycle, moped40Other public transportation50Company bus60Car (driver, passenger)70Motorcycle, scooter90Bicycle, moped98Unknown99NIU (not in universe)Work Variables -- PERSONTime to commute (travel duration) to school<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A423 CH90A424 CH90A426 CH90A427"><span class="em">15. Time required for the journey to work or school</span><br /></svar></p>
<p><svar v="CH90A423 CH90A426" a="all"><div class="i1">How much time do you normally require for one journey to work or school?</div><br /><div class="i2">[] 1 None, I live where I work/go to school<br />[] 2 Up to 15 minutes<br />[] 3 From 15 to 30 minutes<br />[] 4 From 30 to 45 minutes<br />[] 5 From 45 minutes to 1 hour<br />[] 6 Over 1 hour</div><br /></svar>Switzerland 1990: Persons age 15+ and currently attending school or children ages 5-14 [discepancies: type 1 none; type II 1.7%]This variable indicates the length of time (in minutes and hours) the person uses to commute to school.1No commuting distance2Up to 15 minutes316-30 minutes431-60 minutes5More than 1 hour8Unknown9NIU (not in universe)Education Variables -- PERSONRound trips (how often) to commute to school<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A423 CH90A424 CH90A426 CH90A427"><span class="em">15. Time required for the journey to work or school</span><br /></svar></p>
<p><svar v="CH90A424 CH90A427" a="all"><div class="i1">How often do you normally make the journey there and back?</div><br /><div class="i2">[] 1 Once a day<br />[] 2 Twice a day or more often</div><br /></svar>Switzerland 1990: Persons age 15+ and currently attending school or children ages 5-14 [discepancies: type 1 none; type II 1.7%]This variable indicates the frequency of round trips the person made to commute to and from school.1There and back once a day2There and back twice or more per day8Unknown or no commute to school9NIU (not in universe)Education Variables -- PERSONMeans of transport (travel mode) to school<svar v="CH90A405 CH90A406 CH90A423 CH90A424 CH90A426 CH90A427 CH90A425 CH90A428"><span class="h3">III. Journey to work and transport: Questions to employed, schoolchildren and students</span><br /></svar></p>
<p><svar v="CH90A425 CH90A428" a="all"><span class="em">16. Means of transport</span><br />What means of transport do you usually use for one journey to work or school? (If you sue several means of transport, please list all of these)<br /><div class="i1">[] 1 None, I go the whole way on foot<br />[] 2 Bicycle<br />[] 3 Moped<br />[] 4 Motorcycle, scooter<br />[] 5 Private car as driver<br />[] 6 Private car as passenger<br />[] 7 Firm bus, school bus<br />[] 8 Train (SFR, private railways)<br />[] 9 Post-office bus, coach<br />[] 10 Tram, municipal bus, trolleybus<br />[] 11 Others (e.g. boat, cable railway)</div><br /></svar>Switzerland 1990: Persons age 15+ and currently attending school or children ages 5-14 [discepancies: type 1 none; type II 1.7%]This variable indicates the mode of transport the person used to commute to school.01No commute02Solely on foot10Train13Train+street car, bus, post bus15Train+car (driver, passenger)18Train+bicycle, moped30Street car, bus, post bus35Street car, bus, post bus+car (driver, passenger)38Street car, bus, post bus+bicycle, moped40Other public transportation50School bus60Car (driver, passenger)70Motorcycle, scooter90Bicycle, moped98Unknown99NIU (not in universe)Education Variables -- PERSONHighest level of educational attainment (original values)<span class="em">11. Education and professional training</span></p>
<p>Please list all stages of education and professional training:</p>
<div class="i1">Undergoing education at present</div><div class="i2">[] 1 No education or professional training<br />[] 2 Compulsory schooling (primary, secondary, high school)<br />[] 3 Apprenticeship or full-time vocational school<br />[] 4 Grammar school, primary teachers' training<br />[] 5 Advanced vocational or professional training (with master craftsman's certificate, other higher professional certificate/diploma)<br />[] 6 Higher vocational schools (e.g. technical college, colleges of further education, school for social workers)<br />[] 7 University, college<br />[] 8 Other studies, namely: ____</div><div class="i1">Studies completed</div><div class="i2">[] 1 No education or professional training<br />[] 2 Compulsory schooling (primary, secondary, high school)<br />[] 3 Apprenticeship or full-time vocational school<br />[] 4 Grammar school, primary teachers' training<br />[] 5 Advanced vocational or professional training (with master craftsman's certificate, other higher professional certificate/diploma)<br />[] 6 Higher vocational schools (e.g. technical college, colleges of further education, school for social workers)<br />[] 7 University, college<br />[] 8 Other studies, namely: ____</div>Switzerland 1990: Persons age 15+ [discrepancies: none]This variable indicates the person's highest level of educational attainment. The codes are the original values.1No school, no training2Mandatory schooling, preparatory schools3Trade school, apprenticeship4Teacher training school5Higher professional school6University7Not stated9NIU (not in universe)Education Variables -- PERSONHighest level of educational attainment (corrected values)<span class="em">11. Education and professional training</span></p>
<p>Please list all stages of education and professional training:</p>
<div class="i1">Undergoing education at present</div><div class="i2">[] 1 No education or professional training<br />[] 2 Compulsory schooling (primary, secondary, high school)<br />[] 3 Apprenticeship or full-time vocational school<br />[] 4 Grammar school, primary teachers' training<br />[] 5 Advanced vocational or professional training (with master craftsman's certificate, other higher professional certificate/diploma)<br />[] 6 Higher vocational schools (e.g. technical college, colleges of further education, school for social workers)<br />[] 7 University, college<br />[] 8 Other studies, namely: ____</div><div class="i1">Studies completed</div><div class="i2">[] 1 No education or professional training<br />[] 2 Compulsory schooling (primary, secondary, high school)<br />[] 3 Apprenticeship or full-time vocational school<br />[] 4 Grammar school, primary teachers' training<br />[] 5 Advanced vocational or professional training (with master craftsman's certificate, other higher professional certificate/diploma)<br />[] 6 Higher vocational schools (e.g. technical college, colleges of further education, school for social workers)<br />[] 7 University, college<br />[] 8 Other studies, namely: ____</div>Switzerland 1990: Persons age 15+[discrepancies: none]This variable indicates the person's highest level of educational attainment. The codes are the corrected values.1No school, no training2Mandatory schooling, preparatory schools3Trade school, apprenticeship4Teacher training school5Higher professional school6University7Presently in school8Unknown9NIU (not in universe)Education Variables -- PERSON