National Population and Housing Census, 1991DDI_ARG_1991_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.
National Population and Housing Census, 1991 - IPUMS SubsetPHC ar1991a (IPUMS Harmonized Subset)ARG_1991_PHC_v01_M_v7.6_A_IPUMSArgentine National Institute of Statistics and CensusesIPUMS(c) Copyright 1991, Argentine National Institute of Statistics and Censuses and Minnesota Population CenterArgentine National Institute of Statistics and CensusesPopulation 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 -- PERSONGeography: Global Variables -- HOUSEHOLDFertility and Mortality Variables -- PERSONNativity and Birthplace Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONUtilities Variables -- HOUSEHOLDDwelling Characteristics Variables -- HOUSEHOLDGeography: A-E Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDMigration: A-E Variables -- PERSONIncome Variables -- PERSONTechnical Person Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDUtilities Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDTechnical Household Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDGeography: A-E Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDDemographic Variables -- PERSONIncome Variables -- PERSONMigration: Global Variables -- PERSONNativity and Birthplace Variables -- PERSONEducation Variables -- PERSONWork Variables -- PERSONWork: Industry Variables -- PERSONWork: Occupation Variables -- PERSONFertility and Mortality Variables -- PERSONOther Person Variables -- PERSONTechnical Person Variables -- PERSONMay 15, 1991The interviews take place on the expected census day.ArgentinaDepartmentPersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: No
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: Any place designed to lodge people or a place not originally designed to lodge people but on the census day it was used for that purpose. Private dwellings are those occupied by one or more private households. The Inquilinato houses are those which made up a single dwelling in which one or more households are situated. Non-touristic hotels with a housing capacity inferior to 15 rooms in the federal capital and 10 rooms for the rest of the country are considered private dwellings.
- Households: A person or group of people, relatives or not that live under the same roof according to a family arrangement, meaning they share their food expenses.
- Group quarters: A place for lodging groups, or one that was not primarily designed for that purpose but used for that purpose on the census day. The following are considered group quarters: a home for the elderly, a home for the underaged, boarding schools, camping/working sites, hospitals, prisons, policemen's headquarters, firemen's headquarters, and military headquarters, religious households and hotels.All the population in the national territory at the moment the census is carried out. Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: Argentina 1991
Note: Missing data for several key variables requires use of alternative weight
MICRODATA SOURCE: Argentine National Institute of Statistics and Censuses
SAMPLE SIZE (person records): 4143727.
SAMPLE DESIGN: The microdatabase was obtained in the following way. In those locations in which the sample fraction was 10 percent, 100 percent of the households were chosen. In locations in which the sample fraction was 20 percent, a sample of 1 out of two households was taken from random start. For the remaining locations were there was not a sample, one of every 10 households was taken. In group quarters the sample was not applied in the enumeration. A systematic sample of every 10th person was taken with random start. The sample was drawn by INDEC. NOTE: Roughly half the population lacks data for several important write-in variables, including occupation, industry, birthplace, and previous residence. An alternative weight variable, AR1991A_0434 (WTPERC), properly adjusts the statistics, and it should be applied to any analyses involving the affected variables.
Face-to-face [f2f]Short form questionnaire: (1) Dwelling questionnaire (2) Population questionnaire (both questionnaires made up a single booklet). Long form questionnaire: (1) Dwelling questionnaire (2) Population questionnaire (both questionnaires make up a single booklet).de facto, CENSUS DAY: May 15, 1991Computed by census agency and should be used for most types of analysis.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.Argentine National Institute of Statistics and CensusesSteven 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: Argentina, Argentine National Institute of Statistics and Censuses. National Population and Housing Census, 1991
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 ar1991a, 2025ARG1991_PHC-H-H.datHousehold records1,199,651asciiMinnesota Population CenterVersion 7.5, IPUMS sampleARG1991_PHC-P-H.datPerson records4143727asciiMinnesota 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 -- HOUSEHOLDGroup quarters typeGQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types.
Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings.
Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings.
A more general classification of households between private and group quarters is available in GQ.100Institutional110Prisons, reformatories, or correctional institutions120Hospital, nursing home, hospice, or instutions for persons with disabilities121Institutions for persons with disabilities122Sanatorium or mental institutions130Homes for the elderly or orphanage131Retirement home132Orphanage, children's home140Shelter for homeless, youth, or others150Military or police institution160Boarding school or student housing170Religious institution, monastery, seminary, or convent199Other institutional n.e.c.200Non-institutional210Camps (refugees, workers, or others)220Hotel, pension, lodging, or boarding house230Floating population299Other non-institutional n.e.c.300Other group quarters3991-person unit created by splitting large household998Unknown999NIU (not in universe)Group Quarters Variables -- HOUSEHOLDNumber of unrelated personsUNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE.00112233445566778899+Group Quarters Variables -- HOUSEHOLDUrban-rural statusURBAN indicates whether the household was located in a place designated as urban or as rural.1Rural2Urban9UnknownGeography: Global Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLD1st subnational geographic level, world [consistent boundaries over time]GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV1 is a 6-digit numeric variable.
GEOLEV1 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR.Geography: Global Variables -- HOUSEHOLD2nd subnational geographic level, world [consistent boundaries over time]GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV2 is a 9-digit numeric variable.
GEOLEV2 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR.Geography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV1 unit, in persons per square kilometerPOPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable.
The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer.
Codes0 = Unknown.Geography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV2 unit, in persons per square kilometerPOPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable.
The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer.
Codes0 = Unknown.Geography: Global Variables -- HOUSEHOLDArea of GEOLEV1 unit in square kilometersAREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable.
The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers.
Codes0 = Unknown.Geography: Global Variables -- HOUSEHOLDArea of GEOLEV2 unit in square kilometersAREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable.
The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers.
Codes0 = Unknown.Geography: Global Variables -- HOUSEHOLDArgentina, Province 1970 - 2010 [Level 1; consistent boundaries, GIS]GEO1_AR identifies the household's province within Argentina in all sample years.
Provinces are the first level administrative units of the country. GEO1_AR is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_AR can be downloaded from the GIS Boundary Files page in the IPUMS International web site.
The full set of geography variables for Argentina 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.032002City of Buenos Aires032006Buenos Aires province032010Catamarca032014Córdoba032018Corrientes032022Chaco032026Chubut032030Entre Ríos032034Formosa032038Jujuy032042La Pampa032046La Rioja032050Mendoza032054Misiones032058Neuquén032062Río Negro032066Salta032070San Juan032074San Luis032078Santa Cruz032082Santa Fe032086Santiago del Estero032090Tucumán032094Tierra del Fuego239094South Georgia and South Sandwich Islands238094Falkland Islands032099UnknownGeography: A-E Variables -- HOUSEHOLDArgentina, Province 1991 [Level 1, GIS]GEO1_AR1991 identifies the household's province within Argentina in 1991. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_AR1991 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Argentina 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.002Capital Federal006Buenos Aires province010Catamarca014Córdoba018Corrientes022Del Chaco026Del Chubut030Entre Ríos034Formosa038Jujuy042La Pampa046La Rioja050Mendoza054Misiones058Del Neuquén062Río Negro066Salta070San Juan074San Luis078Santa Cruz082Santa Fe086Santiago del Estero090Tucumán094Tierra del FuegoGeography: A-E Variables -- HOUSEHOLDArgentina, Department 1970 - 2010 [Level 2; consistent boundaries, GIS]GEO2_AR identifies the household's department within Argentina in all sample years. Departments are the second level administrative units of the country, after provinces. GEO2_AR is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_AR can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Argentina 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.032002001City of Buenos Aires032006001La Plata032006002General Pueyrredón032006003Pilar032006004Bahía Blanca032006005Escobar032006006San Nicolás032006007Tandil032006008Zárate032006009Olavarría032006010Pergamino032006011Luján032006012Campana032006013Necochea032006014Junín032006015Berisso032006016General Rodríguez032006017Presidente Perón, San Vicente032006018General Lavalle, La Costa032006019Azul032006020Chivilcoy032006021Mercedes032006022Balcarce, Lobería032006023Coronel de Marine L. Rosales032006024General Viamonte, Lincoln032006025Chascomus, Magdalena, Punta Indio032006026Alberti, Roque Pérez, 25 de Mayo032006027San Pedro032006028Tres Arroyos032006029Ensenada032006030Bolívar, General Alvear, Tapalqué032006031Cañuelas032006032Marcos Paz032006033General Las Heras, Lobos032006034Coronel Dorrego, Coronel Pringles, Monte Hermoso, Tornquist032006035Chacabuco0320060369 de Julio032006037Puan, Villarino032006038Trenque Lauquen032006039Ayacucho, General Guido, Pila, Rauch032006040Carmen de Areco, Navarro, Suipacha032006041General Alvarado032006042Bragado032006043Adolfo González Chaves, Benito Juárez, San Cayetano032006044Pehuajó032006045Coronel Suárez032006046Guaminí, Pellegrini, Rivadavia, Tres Lomas032006047Capitán Sarmiento, San Antonio de Areco032006048Ramallo032006049Salto032006050Saladillo032006051Baradero032006052General Arenales, Leandro N. Alem032006053General Villegas032006054General Juan Madariaga, Pinamar, Villa Gesell032006055Patagones032006056Arrecifes032006057Exaltación de la Cruz032006058General Belgrano, General Paz032006059Dolores032006060Daireaux, Hipólito Yrigoyen032006061Brandsen032006062Adolfo Alsina, Salliqueló032006063Colón032006064Las Flores032006065Carlos Tejedor, Florentino Ameghino, General Pinto032006066Rojas032006067San Andrés de Giles032006068Carlos Casares032006069Mar Chiquita032006070Monte032006071General La Madrid, Laprida032006072Saavedra032006073Castelli, Maipú, Tordillo032006074La Matanza032006075Lomas de Zamora032006076Quilmes032006077Almirante Brown032006078Merlo032006079Lanus032006080Moreno032006081Florencio Varela032006082General San Martín032006083Tigre032006084Avellaneda032006085Tres de Febrero032006086General Sarmiento, Jose C. Paz, Malvinas Argentinas, San Miguel032006087Berazategui032006088Hurlingham, Ituzaingo, Morón032006089Esteban Echeverría, Ezeiza032006090San Isidro032006091Vicente López032006092San Fernando032010001Capital032010002Andalgalá, Santa María032010003Fray Mamerto Esquiú, Valle Viejo032010004Belén, Pomán032010005Ambato, Capayán, Paclín, Santa Rosa032010006Ancasti, El Alto, La Paz032010007Antofagasta de la Sierra, Tinogasta032014001Capital032014002Río Cuarto032014003Colón032014004San Justo032014005Punilla032014006General San Martín032014007Tercero Arriba032014008Río Segundo032014009Unión032014010Marcos Juárez032014011Santa María032014012Cruz del Eje, Minas, Pocho032014013Juárez Celman032014014San Javier032014015Calamuchita032014016Ischilín, Totoral032014017Río Primero032014018Presidente Roque Saénz Peña032014019San Alberto032014020General Roca032014021Río Seco, Sobremonte, Tulumba032018001Capital032018002Goya032018003Santo Tomé032018004Berón de Astrada, Concepción, General Paz, San Roque032018005Curuzú Cuatiá, Sauce032018006Paso de los Libres032018007Ituzaingó, San Miguel032018008Empedrado, Mburucuyá, San Luis del Palmar032018009Mercedes032018010Bella Vista032018011Monte Caseros032018012Esquina032018013Lavalle032018014Saladas032018015Itatí, San Cosme032018016General Alvear, San Martín032022001San Fernando032022002Comandante Fernandez032022003Libertador General San Martín, 1 de Mayo032022004General Güemes032022005San Lorenzo, Sargento Cabral, 25 de Mayo032022006Mayor Luis J. Fontana0320220079 de Julio, O'Higgins032022008General Donovan, Libertad, Presidencia de La Plaza, Tapenaga032022009General Belgrano, Independencia032022010Almirante Brown032022011Quitilipi03202201212 de Octubre, 2 de Abril, Fray Justo Sta. María de Oro032022013Chacabuco032022014Bermejo032022015Maipú032026001Escalante032026002Rawson032026003Biedma032026004Futaleufú032026005Florentino Ameghino, Gaimán, Gastre, Mártires, Paso de los Indios, Río Senguer, Sarmiento, Tehuelches, Telsen032026006Cushamen, Languiñeo032030000Entre Rios, district unknown032030001Parana032030002Colón, Concordia, Federal, Feliciano, San Salvador, Villaguay032030003Gualeguaychú, Islas del Ibicuy032030004Uruguay032030005Federación032030006La Paz032030007Gualeguay032030008Diamante032030009Nogoyá032030010Victoria032030011Tala032034001Formosa032034002Laishi, Pilagás, Pirané032034003Pilcomayo032034004Bermejo, Patiño032034005Matacos, Ramón Lista032038001Dr. Manuel Belgrano, Palpalá032038002El Carmen, San Antonio032038003Ledesma, Santa Bárbara032038004San Pedro032038005Cochinoca, Rinconada, Santa Catalina, Susques, Tumbaya, Yaví032038006Humahuaca, Tilcara, Valle Grande032042001Capital032042002Maracó032042003Conhello, Rancul, Toay, Trenel032042004Atreucó, Catriló, Guatrache, Quemú-Quemú032042005Chapaleufú, Realicó032042006Caleu-Caleu, Cura-Co, Chalileo, Chical-Có, Lihuel Calel, Limay Mahuida, Leventué, Puelén032042007Hucal, Utracán032046001Capital032046002Chilecito032046003Coronel Felipe Varela, Famatina, General Angel V. Peñaloza, General Juan F. Quiroga, General Lamadrid, Vinchina, Independencia, Sanagasta032046004General Ocampo, General San Martín, Rosario Vera Peñaloza032046005Arauco, Castro Barros, San Blas de los Sauces032046006Chamical, General Belgrano032050001Guaymallén032050002Las Heras032050003Godoy Cruz032050004San Rafael032050005Maipú032050006San Martín032050007Luján de Cuyo032050008Capital032050009Rivadavia032050010Tunuyán032050011General Alvear032050012Junín032050013Lavalle032050014San Carlos032050015Tupungato032050016Malargue032050017La Paz, Santa Rosa032054001Capital, Leandro N. Alem032054002Oberá032054003Iguazú032054004El Dorado032054005Guaraní032054006San Ignacio032054007Cainguas032054008Libertador General San Martín032054009Apóstoles032054010General Manuel Belgrano032054011Montecarlo032054012Concepción, San Javier032054013San Pedro03205401425 de Mayo032054015Candelaria032058001Confluencia032058002Aluminé, Añelo, Catán-Lil, Collón-Cura, Loncopué, Minas, Ñorquin, Picún-Leufú, Picunches032058003Huiliches, Lácar, Los Lagos032058004Chos Malal, Pehuenches032058005Zapala032062001General Roca032062002Bariloche032062003Adolfo Alsina032062004El Cuy, 9 de Julio, Ñorquincó, Pilcaniyeu, Valcheta, 25 de Mayo032062005Avellaneda032062006San Antonio032062007Conesa, Pichi Mahuida032066001Capital032066002General Jose de San Martín032066003Iruya, Orán, Santa Victoria032066004Anta032066005La Caldera, Rosario de Lerma032066006General Güemes032066007Metán032066008Guachipas, La Candelaria, Rosario de la Frontera032066009Cerrillos032066010Rivadavia032066011Cachí, La Poma, Los Andes, Molinos, San Carlos032066012Cafayate, La Vina032066013Chicoana032070001Rawson032070002Capital032070003Chimbas032070004Rivadavia032070005Angaco, Caucete, 25 de Mayo032070006Pocito032070007Santa Lucía032070008Jachal, Valle Fértil032070009Albardón032070010Calingasta, Iglesia, Ullúm, Zonda032070011Sarmiento0320700129 de Julio, San Martín032074001La Capital032074002General Pedernera, Gobernador Dupuy032074003Ayacucho, Belgrano, Coronel Pringles, Libertador General San Martín032074004Junín032074005Chacabuco032078001Guer Aike032078002Deseado032078003Corpen Aike, Lago Argentino032078004Lago Buenos Aires, Magallanes, Río Chico032082001Rosario032082002La Capital032082003General López032082004Castellanos032082005General Obligado032082006San Lorenzo032082007Las Colonias032082008Constitución032082009San Jerónimo032082010Caseros032082011San Cristóbal032082012Iriondo032082013San Martín032082014Vera032082015Belgrano032082016San Justo032082017San Javier0320820189 de Julio032082019Garay032086001Capital032086002Banda032086003Alberdi, Juan F. Ibarra, Moreno032086004Río Hondo032086005Robles032086006Choya, Guasayan032086007General Taboada032086008Jiménez, Pellegrini032086009Atamisqui, Salavina, San Martín032086010Copo032086011Loreto, Silipica032086012Ojo de Agua, Quebrachos032086013Aguirre, Belgrano, Mitre, Rivadavia032086014Figueroa, Sarmiento032086015Avellaneda032090001Famaillá, Lules, Capital, Tafí del Valle, Tafí Viajo, Trancas, Yerba Buena032090002Cruz Alta032090003Chicligasta, Granero, Juan Bautista Alberdi, La Cocha, Monteros, Río Chico, Simoca032090004Leales032090005Burruyacú032094001Río Grande, Antarctic Argentina032094002Ushuaia032099999Unknown239094003South Georgia and South Sandwich Islands238094004Falkland IslandsGeography: A-E Variables -- HOUSEHOLDArgentina, Department 1991 [Level 2, GIS]GEO2_AR1991 identifies the household's department within Argentina in 1991. Departments are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_AR1991 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Argentina 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.002001Distrito Escolar I002002Distrito Escolar IX002003Distrito Escolar II002004Distrito Escolar X002005Distrito Escolar VII002006Distrito Escolar VI002007Distrito Escolar VIII002008Distrito Escolar III002009Distrito Escolar XVII002010Distrito Escolar XII002011Distrito Escolar XIII002012Distrito Escolar XI002013Distrito Escolar XV002014Distrito Escolar XVIII002015Distrito Escolar XIV002016Distrito Escolar V002017Distrito Escolar IV002018Distrito Escolar XXI002019Distrito Escolar XX002020Distrito Escolar XVI002021Distrito Escolar IXX006001Mar Chiquita006002Carlos Casares006003Colón006004Adolfo Alsina, Saliqueló006005Brandsen006006Daireaux, Hipólito Yrigoyen006007San Andrés de Giles006008Rojas006009Carlos Tejedor, Florentino Ameghino, General Pinto006010Las Flores006011General Lavalle, La Costa006012Azul006013General Rodríguez006014San Vicente006015Junín006016Berisso006017Campana006018Necochea006019Pergamino006020Luján006021Olavarría006022Zárate006023Escobar006024Bahía Blanca006025Tandil006026San Nicolás006027La Plata006028Pilar006029General Pueyrredón006030Trenque Lauquen006031Ayacucho, General Guido, Pila, Rauch006032Bolívar, General Alvear, Tapalqué006033Cañuelas006034Marcos Paz006035General Las Heras, Lobos006036Coronel Pringles, Tornquist006037Coronel Dorrego, Monte Hermoso006038Chacabuco006039Nueve de Julio006040Puan, Villarino006041San Pedro006042Alberti, Roque Pérez, Veinticinco de Mayo006043Chascomus006044Magdalena006045General Viamonte, Lincoln006046Coronel de Marine Leonardo Rosales006047Balcarce, Lobería006048Mercedes006049Chivilcoy006050Ensenada006051Tres Arroyos006052General Arenales, Leandro N. Alem006053General Villegas006054Saladillo006055Baradero006056Bartolomé Mitre006057Exaltación de la Cruz006058General Juan Madariaga, Pinamar, Villa Gesell006059Patagones006060General Belgrano, General Paz006061Dolores006062General Alvarado006063Carmen de Areco, Navarro, Suipacha006064Adolfo González Chaves, San Cayetano006065Benito Juárez006066Bragado006067Coronel Suárez006068Pehuajó006069Capitán Sarmiento, San Antonio de Areco006070Pellegrini, Rivadavia006071Guaminí, Tres Lomas006072Salto006073Ramallo006074Monte006075General La Madrid, Laprida006076Saavedra006077Castelli, Maipú, Tordillo006078Morón006079Berazategui006080San Isidro006081Esteban Echeverría006082Avellaneda006083Tigre006084General Sarmiento006085Tres de Febrero006086San Fernando006087Vicente López006088Lanús006089Moreno006090Almirante Brown006091Merlo006092Lomas de Zamora006093Quilmes006094La Matanza006095Florencio Varela006096General San Martín010001Capital010002Andalgalá, Santa María010003Fray Mamerto Esquiú, Valle Viejo010004Belén, Pomán010005Ambato, Capayán, Paclín, Santa Rosa010006Ancasti, El Alto, La Paz010007Antofagasta de la Sierra, Tinogasta014001Tercero Arriba014002General San Martín014003Punilla014004San Justo014005Colón014006Río Cuarto014007Capital014008Unión014009Río Segundo014010Marcos Juárez014011Santa María014012Río Seco, Sobremonte, Tulumba014013General Roca014014San Alberto014015Cruz del Eje, Minas, Pocho014016Juárez Celman014017San Javier014018Calamuchita014019Ischilín, Totoral014020Río Primero014021Presidente Roque Saénz Peña018001Empedrado, Mburucuyá, San Luis del Palmar018002Mercedes018003Goya018004Santo Tomé018005Capital018006Paso de los Libres018007Ituzaingó, San Miguel018008Berón de Astrada, Concepción, General Paz, San Roque018009Curuzú Cuatiá, Sauce018010Monte Caseros018011Bella Vista018012Lavalle018013Esquina018014Itatí, San Cosme018015Saladas018016General Alvear, San Martín022001San Fernando02200212 de Octubre, Fray Justo Sta. María de Oro022003Chacabuco022004Almirante Brown022005Quitilipi022006Bermejo022007Maipú022008Libertador Gral. San Martín, 1 de Mayo022009Comandante Fernández022010San Lorenzo, Sargento Cabral, 25 de Mayo022011General Güemes0220129 de Julio022013O'Higgins022014Mayor Luis J. Fontana022015General Belgrano, Independencia022016General Donovan, Libertad, Presidencia de La Plaza, Tapenaga026001Futaleufú026002Florentino Ameghino, Gaimán, Gastre, Mártires, Paso de los Indios, Río Senguer, Sarmiento, Tehuelches, Telsen026003Cushamen, Languiñeo026004Escalante026005Rawson026006Biedma030001Victoria030002Tala030003Nogoyá030004Diamante030005Gualeguaychú, Islas del Ibicuy030006Concordia030007Colón030008Villaguay030009Federal, Feliciano030010Paraná030011Gualeguay030012La Paz030013Federación030014Uruguay034001Bermejo, Patiño034002Matacos, Ramón Lista034003Laishi, Pilagás, Pirané034004Pilcomayo034005Formosa038001Cochinoca, Rinconada, Santa Catalina, Susques, Tumbaya, Yaví038002San Pedro038003Humahuaca, Tilcara, Valle Grande038004Dr. Manuel Belgrano038005Palpalá038006Ledesma, Santa Bárbara038007El Carmen, San Antonio042001Hucal, Utracán042002Caleu-Caleu, Cura-Co, Chalileo, Chical-Có, Lihuel Calel, Limay Mahuida, Leventué, Puelén042003Conhello, Rancul, Toay, Trenel042004Maracó042005Capital042006Chapaleufú, Realicó042007Atreucó, Catriló, Guatrache, Quemú-Quemú046001Capital046002Chilecito046003Coronel Felipe Varela, Famatina, General Angel V. Peñaloza, General Juan F. Quiroga, General Lamadrid, Vinchina, Independencia, Sanagasta046004General Ocampo, General San Martín, Rosario Vera Peñaloza046005Arauco, Castro Barros, San Blas de los Sauces046006Chamical, General Belgrano050001Malargue050002La Paz, Santa Rosa050003San Carlos050004Tupungato050005Junín050006Lavalle050007Tunuyán050008General Alvear050009Rivadavia050010Capital050011Maipú050012San Rafael050013Luján de Cuyo050014San Martín050015Guaymallén050016Godoy Cruz050017Las Heras054001San Ignacio054002Cainguás054003El Dorado054004Guaraní054005Oberá054006Iguazú054007Capital054008Leandro N. Alem054009Libertador General San Martín054010Apóstoles054011Candelaria05401225 de Mayo054013Montecarlo054014General Manuel Belgrano054015San Pedro054016Concepción, San Javier058001Huiliches, Lácar, Los Lagos058002Aluminé, Añelo, Catán-Lil, Collón-Cura, Loncopué, Minas, Ñorquin, Picún-Leufú, Picunches058003Confluencia058004Zapala058005Chos Malal, Pehuenches062001El Cuy, 9 de Julio, Ñorquincó, Pilcaniyeu, Valcheta, 25 de Mayo062002Avellaneda062003San Antonio062004Conesa, Pichí Mahuida062005General Roca062006Bariloche062007Adolfo Alsina066001Cerrillos066002Guachipas, La Candelaria, Rosario de la Frontera066003Cafayate, La Viña066004La Caldera, Rosario de Lerma066005Chicoana066006Anta066007Rivadavia066008Metán066009Capital066010Iruya, Orán, Santa Victoria066011General José de San Martín066012General Güemes066013Cachí, La Poma, Los Andes, Molinos, San Carlos070001Albardón070002Jachal, Valle Fértil070003Rivadavia070004Capital070005Chimbas070006Rawson070007Pocito070008Santa Lucía070009Sarmiento070010Calingasta, Iglesia, Ullún, Zonda070011Angaco, Caucete, 25 de Mayo0700129 de Julio, San Martín074001General Pedernera, Gobernador Dupuy074002Junín074003La Capital074004Chacabuco074005Ayacucho, Belgrano, Coronel Pringles, Libertador General San Martín078001Guer Aike078002Deseado078003Corpen Aike, Lago Argentino078004Lago Buenos Aires, Magallanes, Río Chico082001San Jerónimo082002San Martín082003Castellanos082004San Javier082005General Obligado082006San Lorenzo0820079 de Julio082008Caseros082009Iriondo082010Belgrano082011Vera082012Garay082013San Justo082014Las Colonias082015Rosario082016La Capital082017General López082018Constitución082019San Cristóbal086001Figueroa, Sarmiento086002Avellaneda086003Río Hondo086004Copo086005Loreto, Silipica086006Capital086007Atamisqui, Salavina, San Martín086008Jiménez, Pellegrini086009Alberdi, Juan F. Ibarra, Moreno086010Banda086011General Taboada086012Choya, Guasayán086013Robles086014Aguirre, Belgrano, Mitre, Rivadavia086015Ojo de Agua, Quebrachos090001Chicligasta090002Monteros090003Río Chico090004Simoca090005Granero, La Cocha090006Juan B. Alberdi090007Leales090008Burruyacú090009Cruz Alta090010Capital090011Tafí Viajo090012Lules090013Yerba Buena090014Famaillá090015Tafí del Valle, Trancas094001Ushuaia094002Río Grande, Falkland Islands, South Georgia and South Sandwich IslandsGeography: A-E Variables -- HOUSEHOLDOwnership of dwelling [general version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.0NIU (not in universe)1Owned2Not owned9UnknownHousehold Economic Variables -- HOUSEHOLDOwnership of dwelling [detailed version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.000NIU (not in universe)100Owned110Owned, already paid120Owned, still paying130Owned, constructed140Owned, inherited190Owned, other191Owned, house192Owned, condominium193Apartment proprietor194Shared ownership200Not owned210Renting, not specified211Renting, government212Renting, local authority213Renting, parastatal214Renting, private215Renting, private company216Renting, individual217Renting, collective218Renting, joint state and individual219Renting, public subsidized220Renting, private subsidized221Renting, co-tenant222Renting, relative of tenant223Renting, cooperative224Renting, with a job or business225Renting, loan-backed habitation226Renting, mixed contract227Furnished dwelling228Sharecropping230Subletting231Rent to own239Renting, other240Occupied de facto/squatting250Free/usufruct (no cash rent)251Free, provided by employer252Free, without work or services253Free, provided by family or friend254Free, private255Free, public256Free, condemned257Free, other260Endowment, Waqf (Egypt historical)290Not owned, other999UnknownHousehold Economic Variables -- HOUSEHOLDLand ownershipThis variable indicates whether the land on which the dwelling was located was owned, either in full or in part, by one of the dwelling's residents.
Conceivably, a resident might own land but not the dwelling on which it resides. Such a case would be classified as NIU (not in universe): only dwellings indicating that a resident owned the dwelling were asked about land ownership.00NIU (not in universe)10Land owned by a resident11Owned, fully paid for12Owned, still paying13Freehold tenure14Customary land20Land not owned21Rented22Ceded23Mailo land tenure24Free, occupied with consent25Free, occupied without consent26Free, consent not specified27Communal28Right to build29Right to use30Other, not specified99UnknownHousehold Economic Variables -- HOUSEHOLDElectricityELECTRIC indicates whether the household had access to electricity.0NIU (not in universe)1Yes2No9UnknownUtilities Variables -- HOUSEHOLDWater supplyWATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.00NIU (not in universe)10Yes, piped water11Piped inside dwelling12Piped, exclusively to this household13Piped, shared with other households14Piped outside the dwelling15Piped outside dwelling, in building16Piped within the building or plot of land17Piped outside the building or lot18Have access to public piped water20No piped water99UnknownUtilities Variables -- HOUSEHOLDSewageSEWAGE indicates whether the household has access to a sewage system or septic tank.00NIU (not in universe)10Connected to sewage system or septic tank11Sewage system (public sewage disposal)12Septic tank (private sewage disposal)20Not connected to sewage disposal system99UnknownUtilities Variables -- HOUSEHOLDCooking fuelFUELCOOK indicates the predominant type of fuel or energy used for cooking.00NIU (not in universe)10None20Electricity30Petroleum gas, unspecified31Gas -- piped/utility32Gas -- tanked or bottled33Propane34Liquefied petroleum gas35Gas -- piped and bottled40Petroleum liquid41Oil, kerosene, and other liquid fuels42Kerosene/paraffin43Kerosene or oil44Kerosene or gasoline45Gasoline46Cocinol47Diesel50Wood, coal, and other solid fuels51Wood and other plant fuels52Non-wood plant materials53Coal or charcoal54Charcoal55Coal56Wood or charcoal60Multiple fuels61Bottled gas and wood62Propane and electricity63Propane, kerosene, and electricity64Propane and kerosene65Kerosene and electrictiy66Other combinations70Other71Alcohol72Biogas73Discarded or waste material74Dung/manure75Other combined organic waste materials76Solar energy77Candle99Unknown/missingUtilities 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 -- HOUSEHOLDToiletTOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.00NIU (not in universe)10No toilet11No flush toilet20Have toilet, type not specified21Flush toilet22Non-flush, latrine23Non-flush, other and unspecified99UnknownDwelling Characteristics Variables -- HOUSEHOLDFloor materialFLOOR indicates the dwelling's predominant flooring material.000NIU (not in universe)100None/unfinished (earth)110Sand120Dung200Finished201Cement, tile, or brick202Cement203Concrete204Cement screed205Ceramic tile206Paving stone, cement tile207Stone208Brick209Brick or stone210Brick or cement211Block212Terrazzo213Wood214Palm, bamboo215Parquet216Parquet, tile, vinyl217Parquet, tile, marble218Ceramic, marble, granite219Ceramic, marble, tile, or vinyl220Marble221Mosaic222Tile223Tile, linoleum, ceramic, etc224Tile, cement225Tile, stone226Tile, stone, brick227Tile, stone, vinyl, brick228Tile, vinyl, brick229Tile, vinyl230Vinyl, linoleum, etc231Asphalt sheet, vinyl, etc232Synthetic, plastic233Cane234Carpet, rug235Scrap material236Other finished, n.e.c.999Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDWall or building materialThis variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.000NIU (not in universe)100No walls200Cardboard, scrap, and miscellaneous materials201Waste, scrap, or discarded material202Fabric or discarded material203Zinc, fabric, cardboard, tins, and waste material204Cardboard sheet205Plastic sheeting, cardboard206Makeshift, salvaged, or improvised materials207Reused materials300Wood310Rough wood320Wood, fibercement or plywood330Wood, formica, and other340Wood or bamboo350Wood or straw400Other plant-based materials401Plantain leaves and similar material402Bamboo or cane403Bamboo, sawali, cogon, nipa404Straw or bamboo405Grass, straw or reed406Reed, bamboo, or palm407Cane, palm leaves, logs408Palm leaves or palm planks409Bark, sticks, or cane500Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)501Brick, block, stone, or cement502Brick, stone, concrete503Brick, stone, or substitutes (dividing panels made of reinforced concrete)504Brick, stone, or substitutes (dividing panels made of wood)505Brick or tile506Brick or stone507Brick or cement block508Brick with plaster exterior509Brick without plaster exterior510Burnt or stabilized brick511Covered brick512Brick513Unburnt brick514Unburnt brick with cement515Unburnt brick with mud516Concrete517Landcrete, sandcrete518Cement blocks519Cement blocks or brick520Cement blocks or brick, unfinished521Cement and adobe bricks522Cement and stone block523Cement and tiles524Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete525Concrete, reinforced concrete, blocks, panels526Fibercement527Adobe528Adobe walls with plaster exterior529Adobe walls without plaster exterior530Adobe with cement exterior531Wood and earth adobe532Wood and cement adobe533Mud or adobe534Pressed dirt535Clay536Coated clay/mud with sticks/cane537Clay or clay-covered sticks538Netted bamboo or cane with mud539Bundle of mud, straw, other materials540Mud with wood/wattle541Pole and mud542Mud with cement543Unfinished lathe and plaster, stucco, etc.544Stone545Hand-laid stone546Quarried stone547Cut stone and concrete548Cemented stone549Stone with clay550Blocks of light material551Prefabricated material552Asbestos553Metal or asbestos sheet554Metal or iron sheet555Metal or fibercement sheeting556Galvanized iron or aluminum557Tin558Glass559Cloth560Covintec panels561Mixed material562Mixed material: part wood; part concrete, brick, or stone563Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.564Mixed material: wood or galvanized metal570Mainly permanent materials600Other material601Partition wall, lined with wood or steel602Partition wall, unlined999Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDRoof materialThis variable indicates the dwelling's predominant roofing material.00NIU (not in universe)10Masonry, concrete, clay tile, or tiles of unspecified type11Concrete or cement12Reinforced concrete (slab)13Cement or sheet metal14Tile, unspecified material15Clay tile16Tile or cement17Modern tiles, industrial18Traditional tiles, locally made19Tile or flat stone20Tile, unspecified or mixed materials21Fibercement or plastic22Fibercement or metal sheets23Asphalt or laminate cover24Tile, cement, asphalt25Asphalt tile26Slate or tile27Slate or asbestos28Asbestos29Adobe30Tiles or wood planks31Roofing shingles32Tar paper33Metal34Sheet metal35Zinc or tin36Tin37Sheet metal or other sheet material38Sheet metal, tile, slate40Wood and other plant materials41Wood42Wood, including bamboo43Bamboo44Cogon, nipa, anahaw45Thatch (straw, grass, leaves, palm, etc.)46Cane, wood, straw47Grass or straw48Papyrus49Banana leaves or fiber50Palm or makuti51Straw, bamboo, polythene52Wood with clay53Grass and mud54Rustic mat60Mud or earth61Clay70Cardboard, scrap, and miscellaneous materials71Discarded or scrap material72Cardboard73Plastic, tarpaulin80Other, unspecified90No roof99Unknown/missingDwelling 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 numberArgentina 1991: All householdsThis variable indicates the dwelling number.This is a 7-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdArgentina 1991: All householdsThis variable indicates the number of persons in the household.01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728283030Technical Household Variables -- HOUSEHOLDDwelling created by splitting apart a large dwelling or householdArgentina 1991: All householdsThis variable indicates that a dwelling was created by splitting apart a large dwelling or household.0No problem1Yes: households within a large dwelling were split apart into separate dwellings2Yes: persons within a large household were split apart into separate dwellingsTechnical Household Variables -- HOUSEHOLDNumber of persons in large household before it was splitArgentina 1991: All householdsThis variable indicates the number of persons in a large household before it was split.00Household was not split31313232353542426060Technical Household Variables -- HOUSEHOLDType of private dwelling<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A027 AR91A046" a="all">2. Type of dwelling<br /><div class="i1">Collective - continue with population [skip questions 3-16]</div><br /><div class="i2">[] Home for the elderly<br />[] Home for children<br />[] Boarding school<br />[] Labor camp<br />[] Hospital<br />[] Prison<br />[] Barracks<br />[] Religious household<br />[] Hotel</div><br /><div class="i1">Individual</div><br /><div class="i2">[] House<br />[] Rural dwelling or cabin<br />[] Apartment<br />[] Rented room/s<br />[] Pension or hotel<br />[] Space not built for occupation<br />[] Mobile dwelling</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A027" a="all">The objective of question 2 is to classify the dwellings according to the building characteristics.<br /><br />Because we are enumerators of private dwellings, we will only fill out the type of dwelling in the column to the right "Private".<br />[The instructions refer to a graphic of the census form.]<br /><br />Here are the definitions of the different types of private dwellings:<br /><div class="i1"><span class="em">House:</span> A dwelling with direct exit to the outside (its inhabitants do not pass through halls or corridors of common use).<br />[The instructions refer to a graphic of a house.]<br /><br /><span class="em">Shack or hut: </span> A dwelling with exit to the outside. A shack (typical in rural areas) generally has adobe walls, earthen floors, and roof of metal sheets or straw. A hut (typical in urban areas) usually is built with materials of low quality or discarded.<br />[The instructions refer to a graphic of a house.]<br /><br /><span class="em">Apartment:</span> is a dwelling with its own bath and kitchen, which one gets to through halls, elevators, stairs or interior doorways of common use.</div><br /><br /><span class="pg">[p. 19]</span><br /><br /><div class="i1"><span class="em">Tenement house:</span> is a dwelling with independent exit to the outside, built or remodeled deliberately for containing many rooms that have exits to one or more spaces of common use. A tenement house has bath(s) and or kitchen(s) that are used in a shared form. Some forms are known as tenements. Each tenement house is a single dwelling, in whose interior we should recognize the private households that inhabit it.<br />[The instructions refer to a graphic of a house.]<br /><br /><span class="em">Boarding house or hotel:</span> is a dwelling where private households are lodged by pensioners, who follow a special set of rules characterized by monthly, every two week or weekly pay of the cost of lodging in furnished bedrooms. Generally they are classified under the valid legislation for this type of establishment, which is exhibited in visible places. Each boarding house or hotel is the only dwelling, in whose interior we should recognize the private households that inhabit it.<br />[The instructions refer to a graphic of a house.]<br /><br /><span class="em">Premises not built for habitation: </span>A place not meant originally for human habitation but on the day of the Census is occupied by persons. Examples of this type of dwelling are: garage, warehouse, natural lodging (bridge, expressway, cave, etc.), an abandoned building, hospitals or public buildings that have stopped fulfilling the functions for which they were originally constructed and where, on the day of the Census, persons were lodged.<br />[The instructions refer to a graphic of a house.]<br /><br /><span class="em">Mobile dwelling:</span> A dwelling that can be transported to distant places (boat, ship, railroad car, trailer, truck, tent, sled, etc.).<br />[The instructions refer to a graphic of a house.]</div><br /><br />These last two types of dwelling only will be enumerated if they are occupied at the moment of the census.<br /><br /><span class="pg">[p. 20]</span><br /><br />Let us see in a graph the difference between a house and an apartment.<br /><br />We can observe that Dwelling A is a house, since it has a direct exit to outside. On the other hand dwellings B, C and D are three dwellings for apartments, since one arrives at them through a hall of common use.<br /></svar>Argentina 1991: All householdsThis variable indicates the type of private dwelling. Housing type B refers to a home that lacks at least one of the following: internal plumbing; plumbing to evacuate black water from the dwelling; or a floor not made of constructed material (for example, a dirt floor). Housing type A refers to a home that does not lack any of those conveniences.0House type A1House type B2Shack3Apartment4Rented room5Boarding house6Space not built for occupation7Mobile dwelling8Unknown private9Collective dwellingGroup Quarters Variables -- HOUSEHOLDWall material<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A028" a="all">4. What is the predominant material of the outer walls?<br /><div class="i1">[] Brick, stone, cinder block, reinforced concrete<br />[] Adobe<br />[] Wood<br />[] Metal sheeting or cement/fiber sheeting<br />[] Plant material, cardboard, discarded materials<br />[] Other</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A028" a="all"><span class="em">4. What is the predominant material of the outer walls?</span><br /></svar></p>
<p><svar v="AR91A028 AR91A029 AR91A030"><div class="i1">In questions 4-6 about predominant materials, we recognize information about the materials used in the construction of the largest part of the dwelling. "Predominant" is the material that is found in the largest portion. If two types of materials exist in the same proportion, we fill out the one of the largest amount. In apartment buildings the outside cover of the roof refers to the last floor.</div><br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the main wall material of the dwelling.1Brick, stone, cinder block, reinforced concrete2Adobe3Wood4Metal sheeting or cement/fiber sheeting5Bundle of mud and straw, cardboard, discarded materials6Others9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDRoof material<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A029" a="all">5. What is the predominant material of the outer covering of the roof?<br /><div class="i1">[] Tile, asphalt, or membrane.<br />[] Clay roofing tile<br />[] Metal sheeting<br />[] Cement fiber sheeting<br />[] Cardboard<br />[] Cane, wood (boards), straw with clay, straw<br />[] Other<br />[] Unanswered</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A029" a="all"><span class="em">5. What is the predominant material of the outer covering of the roof?</span><br /></svar></p>
<p><svar v="AR91A028 AR91A029 AR91A030"><div class="i1">In questions 4-6 about predominant materials, we recognize information about the materials used in the construction of the largest part of the dwelling. "Predominant" is the material that is found in the largest portion. If two types of materials exist in the same proportion, we fill out the one of the largest amount. In apartment buildings the outside cover of the roof refers to the last floor.</div><br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the main roof material in the dwelling.1Tile2Clay roofing tile3Metal sheeting4Cement fiber sheeting5Cardboard6Cane, wood (boards), straw with clay, straw7Other8Unknown9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDFloor material<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A030" a="all">6. What is the predominant material of the floors?<br /><div class="i1">[] Ceramic, tile, mosaic, wood, carpet, or plastic<br />[] Cement or permanent brick<br />[] Dirt<br />[] Other</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A030" a="all"><span class="em">6. What is the predominant material of the floors?</span><br /></svar></p>
<p><svar v="AR91A028 AR91A029 AR91A030"><div class="i1">In questions 4-6 about predominant materials, we recognize information about the materials used in the construction of the largest part of the dwelling. "Predominant" is the material that is found in the largest portion. If two types of materials exist in the same proportion, we fill out the one of the largest amount. In apartment buildings the outside cover of the roof refers to the last floor.</div><br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the main floor material in the dwelling.1Ceramic, tile, mosaic, wood, carpet, or plastic2Cement or permanent brick3Earth4Others8Unknown9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDElectricity<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A031" a="all">7. Electrical service?<br /><div class="i1">[] With electricity from a public or private network<br />[] With electricity generated by household<br />[] No electricity</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A031" a="all"><span class="em">7. Does it have electricity?</span><br /></svar></p>
<p><svar v="AR91A031 AR91A032">Here also we fill out only a single alternative for the response that corresponds to the source of provision of electrical energy and the system of provision and or source of water, the largest amount.<br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the source of electricity in the dwelling.1From a public or private system2Generated within property3Does not have 9NIU (not in universe)Utilities Variables -- HOUSEHOLDWater service<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A032" a="all">8. Water service?<br /><div class="i1">[] With tubing inside the dwelling<br />[] Outside the dwelling, but inside the property<br />[] Outside the property</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A032" a="all"><span class="em">8. Does it have water?</span><br /></svar></p>
<p><svar v="AR91A031 AR91A032">Here also we fill out only a single alternative for the response that corresponds to the source of provision of electrical energy and the system of provision and or source of water, the largest amount.<br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the way water is transported to the dwelling.1With tubing within the dwelling 2Outside the dwelling, but within the property3Outside the property8Unknown9NIU (not in universe)Utilities Variables -- HOUSEHOLDSource of water<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A033" a="all">9. Household obtains water through?<br /><div class="i1">[] Running water from a public system<br />[] Perforated well with a motorized pump<br />[] Perforated well with a hand pump<br />[] Well<br />[] Rain water<br />[] Supplied by a water-tank truck<br />[] River, canal, ditch, etc.</div><br /></svar><span class="h3">1. Characteristics of the dwelling for the only household or for the first household</span></p>
<p>How do we fill out question 1?
<br />[The instructions refer to a graphic of the census form]
<br />Simply registering the situation that we find, in accordance with the following chart:</p>
<p><svar v="AR91A033" a="all"><span class="em">9. Household obtains water through?</span><br /><br />In the case of tenements and boarding houses or hotels, the information that we ask for refers to the group of the building.<br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the source of water in the dwelling.1From a public system2Drilled well with a motorized pump3Drilled well with a hand pump4Well5Rain water6Transported by tank7River, canal, stream, etc.8Unknown9NIU (not in universe)Utilities Variables -- HOUSEHOLDNumber of rooms<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><span class="h2">II. Habitational Characteristics of the Dwelling- for each household</span>
<br />[Questions 10-16]</p>
<p><svar v="AR91A034" a="all">10. How many rooms are for the exclusive use of the household, excluding the bathroom or kitchen?<br /><div class="i1">[] None<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8 or more</div><br /></svar><span class="h3">2. Household habitation characteristics -- for all households</span></p>
<p>In this part of the document we will know the characteristics of the part of a dwelling that a household occupies. Because of this, always, in all households we fill out this part of the Document.</p>
<p><svar v="AR91A034" a="all"><span class="em">Question 10 refers to the number of rooms for the exclusive use of the household.</span><br /><div class="i1">"Room" is any environment, separated by partitions or walls from the floor to the roof, which have the capacity to put an adult bed in it.<br />[The instructions refer to a graphic of the census form]<br /><br />And let use remember Bathrooms and kitchens do not count as rooms.<br /><br />In cases of dwellings with more than one household, the rooms of common use are not counted.<br /><br />If there is more than one household sharing a single room we fill out "None".<br /><br />In cases of dwellings that are a single room, where also they cook, occupied by a single household we will fill out the circle corresponding to <span class="em">one</span> room.<br /><br />Garages, halls, and utility rooms are not considered rooms unless they are used as a place where a person sleeps.</div><br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the number of rooms in the dwelling.00None011022033044055066077088+98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDCooking fuel<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><span class="h2">II. Habitational Characteristics of the Dwelling- for each household</span>
<br />[Questions 10-16]</p>
<p><svar v="AR91A035" a="all">11. What is the principal combustible used for cooking?<br /><div class="i1">[] Gas from a network<br />[] Packaged gas (tank, tube, etc)<br />[] Kerosene<br />[] Electricity<br />[] Wood or charcoal<br />[] Other</div><br /></svar><span class="h3">2. Household habitation characteristics -- for all households</span></p>
<p>In this part of the document we will know the characteristics of the part of a dwelling that a household occupies. Because of this, always, in all households we fill out this part of the Document.</p>
<p><svar v="AR91A035" a="all"><span class="em">Question 11 refers to the fuel that is principally used for cooking.</span><br /><br />If more than one type of fuel is used for cooking, we fill out that of predominant use.<br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the cooking fuel used in the dwelling.1Gas from a system2Gas from a cylinder3Kerosene4Electricity5Fire wood or coal6Other9NIU (not in universe)Utilities Variables -- HOUSEHOLDToilet<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><span class="h2">II. Habitational Characteristics of the Dwelling- for each household</span>
<br />[Questions 10-16]</p>
<p><svar v="AR91A036" a="all">12. In the bathroom, does the dwelling have a toilet or lavatory with flushing water (with a button, chain, etc)?<br /><div class="i1">[] For the exclusive use of the members of the household<br />[] Shared with another household<br />[] Does not have a toilet or lavatory with flushing water [skip question 13]</div><br /></svar><span class="h3">2. Household habitation characteristics -- for all households</span></p>
<p>In this part of the document we will know the characteristics of the part of a dwelling that a household occupies. Because of this, always, in all households we fill out this part of the Document.</p>
<p><svar v="AR91A036" a="all"><span class="em">12. In the bathroom, does the dwelling have a toilet or lavatory with flushing water (with a button, chain, etc)?</span><br /></svar></p>
<p><svar v="AR91A036 AR91A037">Here we fill out a single alternative for a response and in the case of recording the category "does not have toilet <span class="lang">inodoro o retrete</span> with drainage of water in the bathroom", we go to question 14 following the arrow.<br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates toilet availability in the dwelling.1Has toilet for the exclusive use of the members of the household 2Has toilet shared with another household 3Does not have a toilet or lavatory with flushing water 8Unknown9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDDrain from toilet<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><span class="h2">II. Habitational Characteristics of the Dwelling- for each household</span>
<br />[Questions 10-16]</p>
<p><svar v="AR91A037" a="all">13. The drain for the flush toilet has:<br /><div class="i1">[Question 13 was asked only in the case of a household with toilet, per question 12.]<br /><br />[] With drainage to a public system<br />[] A septic tank or pit<br />[] Only a pit<br />[] Unanswered</div><br /></svar><span class="h3">2. Household habitation characteristics -- for all households</span></p>
<p>In this part of the document we will know the characteristics of the part of a dwelling that a household occupies. Because of this, always, in all households we fill out this part of the Document.</p>
<p><svar v="AR91A037" a="all"><span class="em">13. The drain for the flush toilet has:</span><br /></svar></p>
<p><svar v="AR91A036 AR91A037">Here we fill out a single alternative for a response and in the case of recording the category "does not have toilet <span class="lang">inodoro o retrete</span> with drainage of water in the bathroom", we go to question 14 following the arrow.<br /></svar>Argentina 1991: Private dwellings with a flush toilet [discrepancies: none]This variable indicates the type of sewage available in the dwelling.1With drainage to a public system2Septic tank3Septic pit8Unknown9NIU (not in universe)Utilities Variables -- HOUSEHOLDOwnership<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><span class="h2">II. Habitational Characteristics of the Dwelling- for each household</span>
<br />[Questions 10-16]</p>
<p><svar v="AR91A038" a="all">14. The occupants:<br /><div class="i1">[] Own the dwelling and the land<br />[] Own the dwelling only<br />[] Renter<br />[] Other dependant relationship<br />[] Occupancy through loan, grant or permission<br />[] De facto occupation<br />[] Other<br />[] Unanswered</div><br /></svar><span class="h3">2. Household habitation characteristics -- for all households</span></p>
<p>In this part of the document we will know the characteristics of the part of a dwelling that a household occupies. Because of this, always, in all households we fill out this part of the Document.</p>
<p><svar v="AR91A038" a="all"><span class="em">14. The occupants are:</span><br /><br />Question 14 permits us to know the type of relation of ownership existing between the head of Household and the enumerated dwelling.<br /><br />We see the definitions of some of the alternatives:<br />[The instructions refer to a graphic of the census form including the following questions]<br /><br /><div class="i1">Owner of the dwelling and the land is one who has the right to use or to arrange the dwelling and the land, even when it is partially unpaid. Owners who have possession of the dwelling and land are included even if they have not registered. The owner of an apartment also which is of the land.<br /><br />Owner of the dwelling only when one does not have possession of the land where the dwelling is located. Generally they are situated in government lands, in emergency areas. They are not legal situations of ownership.<br /><br />Occupant by relation of dependence is one who receives the use of a dwelling and or land as part of a payment for their job.<br /><br />Occupant by loan, cessation or permission is one who makes use of a dwelling and or land by loans to the owner (documented or not). Include situations such as "a relative loaned me it in exchange for a payment of taxes", "a friend charged me with its care", "house sitter", or "loaned for use", etc.<br /><br />De facto occupant of a dwelling is one who makes use of a dwelling without authorization of its owner (whether it be private or of the state) even if some payment is made for its use by a third person. In this category all cases of "taking", "misappropriations" of dwellings, buildings are included.</div><br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the ownership of the dwelling.1Owner of the dwelling and the land2Owner of the dwelling only3Renter4Other dependant relationship5Occupant through loan6De facto occupant7Other8Unknown9NIU (not in universe)Household Economic Variables -- HOUSEHOLDNumber of persons in household, original<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><span class="h2">II. Habitational Characteristics of the Dwelling- for each household</span>
<br />[Questions 10-16]</p>
<p><svar v="AR91A039" a="all">16. What is the total number of persons in the household? _ _<br /></svar><span class="h3">2. Household habitation characteristics -- for all households</span></p>
<p>In this part of the document we will know the characteristics of the part of a dwelling that a household occupies. Because of this, always, in all households we fill out this part of the Document.</p>
<p><svar v="AR91A039" a="all"><span class="em">16. What is the total number of persons in the household?</span><br /><br />The objective of these questions is to determine which and how many persons are members of this household and proceed to their inscription and ordering to facilitate the application of the part of Population. Also making sure the principal objective of the Census is to count all and each one of the persons who inhabit the country on the day of the Census.<br /><br />Here it is opportune that we point out that the Census is a de factor census, which means that it tries to know the number and characteristics of persons who are present in the household without it being their place of usual residence.<br /><br />Because of this, the enumerating refers to the moment of the census: which is 0 hours of the day of the census.<br /><br />And we enumerate:<br /><div class="i1">Persons who spent the night in the household and are present when we arrive.</div><br /><br /><span class="pg">[p. 26]</span><br /><br /><div class="i1">Persons who did not spend the night in the household, but are present when we arrive and were not enumerated in another place.<br />Persons who died after 0 hours of the day of the Census.</div><br /><br />We do not enumerate:<br /><div class="i1">Children who were born before 0 hours of the day of the Census, even if they are present in the household.</div><br /><br />Let us summarize in a chart who is to be enumerated:<br /><div class="i1">If a person spent the night and is present, do we enumerate them? Yes.<br /><br />If a person spent the night and is absent, do we enumerate them? Yes.<br /><br />If they went to work: Do we enumerate them? Yes.<br /><br />If they went shopping, for a walk, etc.: Do we enumerate them? Yes.<br /><br />If they are on a voyage: Do we enumerate them? Yes.<br /><br />If a person did not spend the night and is present, do we enumerate them? Yes, if not enumerated in another place.</div><br /><br />We order persons, beginning with the head of a household, in accordance with the instructions that are at the bottom of question 15. We assign a correlative number to each number beginning with 01 that always will be for the head of the household. This number will be written in the column order number. And in this order we will enumerate the persons in the part of the Population Document.<br /><br /><span class="em">Very important</span>: Every census document has space in question 15 for registering up to 6 persons, members of a household. Therefore, if we find a household with more than 6 persons, after writing them down in the chart, we fill out the circle that is at the bottom of question 15 and we fill out another document.<br /><br />If there are more than 6 persons in a household mark the circle and use another document according to the instructions. In this case complete question 16 in the last document that you use.<br />How do we proceed then, with this other document? We reproduce the same information of the Geographic Location that is in the first document and we fill out the circle that is in the upper left of this document and that says "When a household needs another or other documents fill out this circle starting with the second document that you use". Then we go to question 15 of the new document and we write down the members who we have not registered starting with the second line, giving numbers to persons starting with 07.<br /><br />Once the annotation of the names of all the members is finished, the total number in question 16, "What is the total amount of persons in the household?", is written down.<br /><br /><span class="em">Caution</span>: When there are more than 6 persons in a household, we should fill out the total number of persons in the last document that we filled out.<br /></svar>Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the number of people in the household.011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282830303131323235354242606099NIU (not in universe)Technical Household Variables -- HOUSEHOLDNumber of people per roomArgentina 1991: Private dwellings [discrepancies: none]This variable indicates the number of people per room in the household.0000NIU (not in universe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nknownConstructed Household Variables -- HOUSEHOLDUnsatisfied basic needsArgentina 1991: Private dwellings [discrepancies: none]This variable indicates the number of unsatisfied basic needs in the dwelling. The unsatisfied basic needs include: without public or private medical insurance, without water access, dirt floor in the dwelling, and without a telephone.0No unsatisfied basic needs11 unsatisfied need223344559NIU (not in universe)Constructed Household Variables -- HOUSEHOLDType of family 1Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the type of household nucleus. [constructed variable]1Single 2Compound nuclear3Compound nuclear home4Non-compound nuclear5Without nuclear9NIU (not in universe)Constructed Household Variables -- HOUSEHOLDType of family 2Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the type and composition of the household. [constructed variable]00Pure [traditional]01Parent02Parent, son/daughter-in-law03Parent, son/daughter-in-law and mother/father-in-law04Parent, son/daughter-in-law, mother/father-in-law and other05Parent, son/daughter-in-law, mother/father-in-law, other and non family member06Parent, son/daughter-in-law, mother/father-in-law, non family member07Parent, son/daughter-in-law, other family member and non family member08Parent, son/daughter-in-law and other family member09Parent, son/daughter-in-law and non family member10Parent and non family member11Parent, mother/father-in-law and other family member12Parent, mother/father-in-law, other family member and non family member13Parent, mother/father-in-law and non family member14Parent and other family member15Parent, other family member and non family member16Parent and non family member17Son/daughter-in-law18Son/daugher-in-law and mother/father-in-law19Son/daughter-in-law, mother/father-in-law and other family member20Son/daughter-in-law, mother/father-in-law, other family member and non family member21Son/daughter-in-law, mother/father-in-law and non family member22Son/daughter-in-law and other family member23Son/daughter-in-law, other family member and non family member24Son/daughter-in-law and non family member25Mother/father-in-law 26Mother/father-in-law and other family member27Mother/father-in-law, other family member and non family member28Mother/father-in-law and non family member29Other family member30Other family member and non family member31Non family member99NIU (not in universe)Constructed Household Variables -- HOUSEHOLDSize of placeArgentina 1991: Private dwellings [discrepancies: none]This variable indicates the size of the locality where the household resides.01Rural dispersed02Rural, less than 10003Rural, between 100 and 50004Rural, between 500 and 100005Rural, between 1000 and 200006Less 2000007Between 20000 and 5000008Between 50000 and 10000009Between 100000 and 100000010Larger than 100000099NIU (not in universe)Geography: A-E Variables -- HOUSEHOLDCollective dwelling type<span class="h3">I. Characteristics of the dwelling for the only household or for the first household</span>
<br />[Questions 1-9]</p>
<p><svar v="AR91A027 AR91A046 AR91A028 AR91A029 AR91A030 AR91A031 AR91A032 AR91A033 AR91A034 AR91A035 AR91A036 AR91A037 AR91A038 AR91A039">[Questions 2-16 were addressed only in case of an occupied dwelling, with occupants present, per Question 1.]<br /></svar></p>
<p><svar v="AR91A027 AR91A046" a="all">2. Type of dwelling<br /><div class="i1">Collective - continue with population [skip questions 3-16]</div><br /><div class="i2">[] Home for the elderly<br />[] Home for children<br />[] Boarding school<br />[] Labor camp<br />[] Hospital<br />[] Prison<br />[] Barracks<br />[] Religious household<br />[] Hotel</div><br /><div class="i1">Individual</div><br /><div class="i2">[] House<br />[] Rural dwelling or cabin<br />[] Apartment<br />[] Rented room/s<br />[] Pension or hotel<br />[] Space not built for occupation<br />[] Mobile dwelling</div><br /></svar><span class="h2">Dwelling:</span><div class="i1">Premises that have been built or adapted for lodging persons. Also places not meant originally for lodging persons but used for this purpose on the day of the census should be considered a dwelling.<br /><br />Two types of dwellings exist: private dwellings and collective dwellings.<br /><br />The types of private dwellings are: house, shack, hut, apartment, tenement house, boarding house or hotel, place not built for habitation, mobile dwelling.<br /><br />The types of collective dwellings are: nursing household, youth household, boarding school, worker camp, hospital, prison, barracks, religious household, hotel.</div><span class="h2">Private Census Household: </span><div class="i1">A group of persons, related or not, who live under the same roof in accordance with a set of family rules, that is to say, who share their food expenses. In some areas the act of sharing food expenses is called having a common pot <span class="lang">olla común</span>.<br /><br />Persons who live alone are counted as a household.<br /><br />To summarize: in a private household, the persons who make it up:</div><div class="i2">live under the same roof.<br /><br />share food expenses.</div>Argentina 1991: Collective dwellings [discrepancies: none]This variable indicates the type of collective dwelling.01Old persons' home02Orphanage03Educational institution04Camp05Hospital06Prison07Military base08Religious home09Hotel98Unknown dwelling type99NIU (not in universe)Group Quarters Variables -- HOUSEHOLDHousehold weight Argentina 1991: Private dwellings [discrepancies: none]This variable indicates the household weight in the sample.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484850505151525254545757585862626363676773737777808099NIU (not in universe)Technical Household Variables -- HOUSEHOLDStrataArgentina 1991: 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 6-digit numeric variable with 0 implied decimal placesGeography: A-E Variables -- HOUSEHOLDPerson numberPERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.PERNUM is a 4-digit numeric variable.Technical Person Variables -- PERSONPerson weightPERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Person Variables -- 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 -- 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 -- PERSONConsensual unionCONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.1Yes, in consensual union2No, married8Unknown9NIU (not in universe)Demographic Variables -- PERSONChildren ever bornCHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren survivingCHSURV reports the number of children born to a woman who were still living at the time of the census.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of births last yearBIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months.0None11 (1 or more)223344+8Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONNativity statusNATIVITY indicates whether the person was native-born or foreign-born.0NIU (not in universe)1Native-born2Foreign-born9Unknown/missingNativity and Birthplace Variables -- PERSONCountry of birthBPLCOUNTRY indicates the person's country of birth.00000NIU (not in universe)10000Africa11000Eastern Africa11005British Indian Ocean Territory11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11051Ethiopia (including Eritrea)11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15021Upper Volta15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15081Guinea-Bissau and Cape Verde15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15180Canary Islands15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21991Caribbean commonwealth, n.s.21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32042India/Pakistan/Bangladesh/Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32101Pakistan/Bangladesh32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34071Israel/Palestine34080Jordan34090Kuwait34100Lebanon34110Palestine34111West Bank34112Gaza Strip34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41991Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43121Spain/Portugal43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43991Gibraltar/Malta43992Portugal/Greece43993Italy, Holy See, San Marino43999Southern Europe, other or n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Belgium/Netherlands/Luxemburg44030France44040Germany44042West Germany44043Germany/Austria44044Mecklenburg-Schwerin44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44991Belgium, Denmark, Luxembourg, Netherlands44999Western Europe, other or n.s.49992European Union49993European Union (original 15)49994Other European Union (not original 15)49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53060Federated States of Micronesia53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.80000AT SEA90000Other countries n.s.99999UnknownNativity and Birthplace Variables -- PERSONProvince of birth, Argentina; [Level 1: consistent boundaries, GIS]BPL1_AR indicates the person's province of birth within Argentina. Birthplace province codes from BPL1_AR are compatible with codes from GEO1_AR.
Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.032002City of Buenos Aires032006Buenos Aires province032010Catamarca032014Córdoba032018Corrientes032022Chaco032026Chubut032030Entre Ríos032034Formosa032038Jujuy032042La Pampa032046La Rioja032050Mendoza032054Misiones032058Neuquén032062Río Negro032066Salta032070San Juan032074San Luis032078Santa Cruz032082Santa Fe032086Santiago del Estero032090Tucumán032094Tierra del Fuego032096Argentina, unknown032097Foreign country032098UnknownNativity and Birthplace Variables -- PERSONSchool attendanceSCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.0NIU (not in universe)1Yes2No, not specified3No, attended in the past4No, never attended9Unknown/missingEducation Variables -- PERSONLiteracyLIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational attainment, international recode [general version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational attainment, international recode [detailed version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- PERSONYears of schoolingYRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2.
Users should pay close attention to the top-codes in each sample, as discussed in the comparability section.00None or pre-school011 year022 years033 years044 years055 years066 years077 years088 years099 years1010 years1111 years1212 years1313 years1414 years1515 years1616 years1717 years1818 years or more90Not specified91Some primary92Some technical after primary93Some secondary94Some tertiary95Adult literacy96Special education98Unknown/missing99NIU (not in universe)Education Variables -- PERSONEducational attainment, ArgentinaEDUCAR indicates the person's educational attainment in Argentina in terms of the level and grade of schooling completed.000NIU (not in universe)110Never attended120Pre-school130Primary, no years completed201Primary, grade 1202Primary, grade 2203Primary, grade 3204Primary, grade 4205Primary, grade 5206Primary, grade 6207Primary, grade 7+208Primary, complete209Primary, grade unknown311Secondary general, grade 1312Secondary general, grade 2313Secondary general, grade 3314Secondary general, grade 4315Secondary general, grade 5318Secondary general, complete319Secondary general, grade unknown321Commercial school, grade 1322Commercial school, grade 2323Commercial school, grade 3324Commercial school, grade 4325Commercial school, grade 5328Commercial school, complete329Commercial school, grade unknown331Teaching school, grade 1332Teaching school, grade 2333Teaching school, grade 3334Teaching school, grade 4335Teaching school, grade 5338Teaching school, complete339Teaching school, grade unknown341Secondary technical, grade 1342Secondary technical, grade 2343Secondary technical, grade 3344Secondary technical, grade 4345Secondary technical, grade 5348Secondary technical, complete349Secondary technical, grade unknown351Other secondary, grade 1352Other secondary, grade 2353Other secondary, grade 3354Other secondary, grade 4355Other secondary, grade 5358Degree complete359Other secondary, grade unknown410Higher education non-university, year 1411Higher education non-university, year 2412Higher education non-university, year 3413Higher education non-university, year 4414Higher education non-university, year 5415Higher education non-university, year 6416Higher education non-university, year 7417Higher education non-university, year 8+418Higher education non-university, complete419Higher education non-university, year unknown430University, year 1431University, year 2432University, year 3433University, year 4434University, year 5435University, year 6436University, year 7437University, year 8+438University, complete439University, year unknown450Post-graduate, year 1451Post-graduate, year 2452Post-graduate, year 3453Post-graduate, year 4454Post-graduate, year 5455Post-graduate, year 6+458Post-graduate, complete459Post-graduate, year unknown500Special education, years not specified998Attended, level unknown999UnknownEducation 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 -- 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, unrecodedOCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit]
Argentina 1980 - see Variable: AR1980A_OCC - Occupation
Argentina 1991 - see Variable: AR1991A_OCC - Occupation
Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits)
Armenia 2011 - see Variable: AM2011A_OCC - Occupation
Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups
Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups
Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups
Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups
Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits
Belarus 2009 - see Variable: BY2009A_OCC - Occupation
Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits)
Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits)
Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits)
Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit)
Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits
Bolivia 1992 - see Variable: BO1992A_OCC - Occupation
Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits
Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit)
Botswana 1981 - see Variable: BW1981A_OCC - Occupation
Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days)
Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit
Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits
Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation
Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation
Brazil 1980 - see Variable: BR1980A_OCC - Occupation
Brazil 1991 - see Variable: BR1991A_OCC - Occupation
Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits
Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010
Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation
Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation
Cambodia 1998 - see Variable: KH1998A_OCC - Occupation
Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits)
Cambodia 2008 - see Variable: KH2008A_OCC - Occupation
Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits)
Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit
Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits)
Cameroon 2005 - see Variable: CM2005A_OCC - Occupation
Canada 1971 - see Variable: CA1971A_OCC - Occupation
Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis)
Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis)
Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics)
Canada 2011 - see Variable: CA2011A_OCC - Occupation
Chile 1960 - see Variable: CL1960A_OCC - Occupation
Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit)
Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit)
Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit)
Chile 2002 - see Variable: CL2002A_OCC - Occupation
China 1982 - see Variable: CN1982A_OCC - Occupation
China 1990 - see Variable: CN1990A_OCC - Occupation
China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit)
Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits)
Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week
Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits
Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits
Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits
Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit
Cuba 2002 - see Variable: CU2002A_OCC - Occupation
Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit)
Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation
Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation
Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation
Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation
Ecuador 1962 - see Variable: EC1962A_OCC - Occupation
Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits
Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits
Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits
Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits
Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08)
Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit)
Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit
El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit)
El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit)
Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit)
Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation
Fiji 1976 - see Variable: FJ1976A_OCC - Occupation
Fiji 1986 - see Variable: FJ1986A_OCC - Occupation
Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits)
Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits
Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits)
Finland 2010 - see Variable: FI2010A_OCC - Occupation
France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation
France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation
France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation
France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation
France 1990 - see Variable: FR1990A_SOCC - Saphir occupation
France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO
France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit)
France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories
Germany 1970 - see Variable: DE1970A_OCC - Occupation
Germany 1981 - see Variable: DE1981A_OCC - Occupation
Germany 1987 - see Variable: DE1987A_OCC - Occupation
Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits
Ghana 2000 - see Variable: GH2000A_OCC - Occupation
Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups)
Greece 1971 - see Variable: GR1971A_OCC - Occupation
Greece 1981 - see Variable: GR1981A_OCC - Occupation
Greece 1991 - see Variable: GR1991A_OCC - Occupation
Greece 2001 - see Variable: GR2001A_OCC - Occupation
Greece 2011 - see Variable: GR2011A_OCC - Occupation
Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits)
Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits)
Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits)
Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit)
Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits)
Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits
Guinea 1996 - see Variable: GN1996A_OCC - Occupation
Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit)
Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession
Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits
Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits)
Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits)
Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits)
Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit)
Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit)
Hungary 1970 - see Variable: HU1970A_OCC - Occupation
Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity
Hungary 1990 - see Variable: HU1990A_OCC - Occupation
Hungary 2001 - see Variable: HU2001A_OCC - Occupation
Hungary 2011 - see Variable: HU2011A_OCC - Occupation
Indonesia 1971 - see Variable: ID1971A_OCC - Occupation
Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week
Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version)
Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation
Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week
Indonesia 1995 - see Variable: ID1995A_OCC - Occupation
Indonesia 2005 - see Variable: ID2005A_OCC - Occupation
Iran 2006 - see Variable: IR2006A_OCC4 - Occupation
Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit)
Iraq 1997 - see Variable: IQ1997A_OCC - Occupation
Ireland 1971 - see Variable: IE1971A_OCC - Occupation
Ireland 1981 - see Variable: IE1981A_OCC - Occupation
Ireland 1986 - see Variable: IE1986A_OCC - Occupation group
Ireland 1991 - see Variable: IE1991A_OCC - Occupation group
Ireland 1996 - see Variable: IE1996A_OCC - Occupation
Ireland 2002 - see Variable: IE2002A_OCC - Occupation
Ireland 2006 - see Variable: IE2006A_OCC - Occupation group
Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled)
Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups)
Israel 1972 - see Variable: IL1972A_OCC - Occupation
Israel 1983 - see Variable: IL1983A_OCC - Occupation
Israel 1995 - see Variable: IL1995A_OCC - Occupation
Israel 2008 - see Variable: IL2008A_OCC - Occupation
Italy 2001 - see Variable: IT2001A_OCC - Occupation
Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work
Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job
Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job
Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit
Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit)
Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits
Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit)
Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity
Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit)
Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits)
Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits)
Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit)
Liberia 2008 - see Variable: LR2008A_OCC - Occupation
Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit
Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit
Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits)
Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit)
Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week
Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits)
Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits
Mali 1987 - see Variable: ML1987A_OCC - Occupation last month
Mali 1998 - see Variable: ML1998A_OCC - Main occupation
Mali 2009 - see Variable: ML2009A_OCC - Principal occupation
Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit)
Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit)
Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit)
Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits
Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit
Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits
Mexico 1995 - see Variable: MX1995A_OCC - Occupation
Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits
Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade
Mexico 2015 - see Variable: MX2015A_OCC - Occupation
Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits)
Mongolia 2000 - see Variable: MN2000A_OCC - Occupation
Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008)
Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit)
Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit)
Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit
Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit)
Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit)
Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit
Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation
Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008)
Myanmar 2014 - see Variable: MM2014A_OCC - Occupation
Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation
Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit)
Netherlands 1960 - see Variable: NL1960A_OCC - Occupation
Netherlands 1971 - see Variable: NL1971A_OCC - Occupation
Netherlands 2001 - see Variable: NL2001A_OCC - Occupation
Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit)
Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation
Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits)
Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation
Palestine 1997 - see Variable: PS1997A_OCC - Main occupation
Palestine 2007 - see Variable: PS2007A_OCC - Main occupation
Palestine 2017 - see Variable: PS2017A_OCC - Occupation
Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit)
Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit
Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit)
Panama 1990 - see Variable: PA1990A_OCC - Occupation
Panama 2000 - see Variable: PA2000A_OCC - Occupation
Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits
Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits
Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation
Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit)
Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit)
Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits)
Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits
Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits
Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits)
Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits)
Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits)
Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week)
Philippines 1990 - see Variable: PH1990A_OCC - Occupation
Philippines 2000 - see Variable: PH2000A_OCC - Occupation
Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit)
Poland 1978 - see Variable: PL1978A_OCC - Occupation
Poland 1988 - see Variable: PL1988A_OCC - Main occupation
Poland 2002 - see Variable: PL2002A_OCC - Occupation
Portugal 1981 - see Variable: PT1981A_OCC - Main occupation
Portugal 1991 - see Variable: PT1991A_OCC - Main occupation
Portugal 2001 - see Variable: PT2001A_OCC - Main occupation
Portugal 2011 - see Variable: PT2011A_OCC - Main occupation
Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation
Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation
Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation
Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation
Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation
Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation
Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week
Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis
Romania 1992 - see Variable: RO1992A_OCC - Occupation
Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits
Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded)
Rwanda 2002 - see Variable: RW2002A_OCC - Occupation
Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation
Senegal 1988 - see Variable: SN1988A_OCC - Occupation
Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits
Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation
Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months
Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit)
Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit)
Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit)
Slovenia 2002 - see Variable: SI2002A_OCC - Occupation
South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits
South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit
South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits
South Sudan 2008 - see Variable: SS2008A_OCC - Occupation
Spain 1981 - see Variable: ES1981A_OCC - Occupation
Spain 1991 - see Variable: ES1991A_OCC - Occupation
Spain 2001 - see Variable: ES2001A_OCC - Occupation
Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits
Sudan 2008 - see Variable: SD2008A_OCC - Occupation
Suriname 2004 - see Variable: SR2004A_OCC - Occupation
Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups)
Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO)
Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM)
Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08)
Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation
Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week
Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation
Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year
Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year
Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year
Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits
Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits)
Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits)
Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits)
Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits)
Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit)
Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits)
Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit
Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits
Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits
Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits)
United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation
United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation
United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification
United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor
United States 1960 - see Variable: US1960A_OCC - Occupation
United States 1970 - see Variable: US1970A_OCC - Occupation
United States 1980 - see Variable: US1980A_OCC - Occupation
United States 1990 - see Variable: US1990A_OCC - Occupation
United States 2000 - see Variable: US2000A_OCC - Occupation
United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment
United States 2010 - see Variable: US2010A_OCC - Occupation
United States 2015 - see Variable: US2015A_OCC - Occupation last week
United States 2020 - see Variable: US2020A_OCC - Occupation last week
Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit]
Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits)
Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week
Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits)
Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits)
Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits
Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits
Venezuela 2001 - see Variable: VE2001A_OCC - Occupation
Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits
Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit
Vietnam 2009 - see Variable: VN2009A_OCC - Occupation
Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit
Zambia 1990 - see Variable: ZM1990A_OCC - Occupation
Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits
Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits
Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits)
Work Variables -- PERSONIndustry, general recodeINDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.000NIU (not in universe)010Agriculture, fishing, and forestry020Mining and extraction030Manufacturing040Electricity, gas, water and waste management050Construction060Wholesale and retail trade070Hotels and restaurants080Transportation, storage, and communications090Financial services and insurance100Public administration and defense110Services, not specified111Business services and real estate112Education113Health and social work114Other services120Private household services130Other industry, n.e.c.998Response suppressed999UnknownWork Variables -- PERSONIndustry, unrecoded"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit]
Argentina 1980 - see Variable: AR1980A_IND - Industry
Argentina 1991 - see Variable: AR1991A_IND - Industry
Argentina 2001 - see Variable: AR2001A_IND - Industry
Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work
Armenia 2011 - see Variable: AM2011A_IND - Industry
Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch
Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch
Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch
Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch
Austria 2011 - see Variable: AT2011A_IND - Industry
Bangladesh 1991 - see Variable: BD1991A_IND - Industry
Bangladesh 2001 - see Variable: BD2001A_IND - Main work field
Bangladesh 2011 - see Variable: BD2011A_IND - Industry
Belarus 2009 - see Variable: BY2009A_ECONACT - Industry
Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit)
Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits)
Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits)
Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit)
Bolivia 1976 - see Variable: BO1976A_IND - Industry
Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits
Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits
Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit)
Botswana 1981 - see Variable: BW1981A_IND - Industry
Botswana 1991 - see Variable: BW1991A_IND - Industry
Botswana 2001 - see Variable: BW2001A_IND - Industry
Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits
Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry
Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry
Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry
Brazil 1991 - see Variable: BR1991A_IND - Industry
Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits
Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010
Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity
Cambodia 1998 - see Variable: KH1998A_IND - Industry
Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits)
Cambodia 2008 - see Variable: KH2008A_IND - Industry
Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits)
Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit)
Cameroon 2005 - see Variable: CM2005A_IND - Industry
Canada 1971 - see Variable: CA1971A_IND - Industry
Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification)
Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification)
Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification)
Canada 2011 - see Variable: CA2011A_IND - Industry
Chile 1960 - see Variable: CL1960A_IND - Industry
Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit)
Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit)
Chile 1992 - see Variable: CL1992A_IND - Industry
Chile 2002 - see Variable: CL2002A_IND - Industry
Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit)
China 1982 - see Variable: CN1982A_INDUSTRY - Industry
China 1990 - see Variable: CN1990A_IND - Industry
China 2000 - see Variable: CN2000A_IND - Industry (2-digit)
Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits
Colombia 1973 - see Variable: CO1973A_IND - Industry
Colombia 1993 - see Variable: CO1993A_IND - Industry
Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit)
Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits
Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits
Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits
Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits
Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit
Cuba 2002 - see Variable: CU2002A_IND - Industry
Cuba 2012 - see Variable: CU2012A_IND - Industry
Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed)
Dominican Republic 1960 - see Variable: DO1960A_IND - Industry
Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit)
Dominican Republic 2002 - see Variable: DO2002A_IND - Industry
Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business
Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits
Ecuador 1982 - see Variable: EC1982A_IND3 - Industry
Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits
Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits
Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4)
Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit)
Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC)
Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit
El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit)
El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit)
Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry
Ethiopia 1994 - see Variable: ET1994A_IND - Industry
Fiji 1966 - see Variable: FJ1966A_IND - Industry
Fiji 1976 - see Variable: FJ1976A_IND - Industry
Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits
Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits)
Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits
Fiji 2014 - see Variable: FJ2014A_IND - Industry
Finland 2010 - see Variable: FI2010A_IND - Industry
France 1962 - see Variable: FR1962A_IND - Industry
France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories
France 1975 - see Variable: FR1975A_INDUN - Industry, UNO
France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature
France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories
France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC
France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode
France 2011 - see Variable: FR2011A_IND - Industry, 732 categories
Germany 1970 - see Variable: DE1970A_IND - Industry
Germany 1971 - see Variable: DE1971A_IND - Industry
Germany 1981 - see Variable: DE1981A_IND - Industry
Germany 1987 - see Variable: DE1987A_IND - Industry
Ghana 2000 - see Variable: GH2000A_IND - Industry
Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups)
Greece 1971 - see Variable: GR1971A_IND - Industry
Greece 1981 - see Variable: GR1981A_IND - Industry
Greece 1991 - see Variable: GR1991A_IND - Industry
Greece 2001 - see Variable: GR2001A_IND - Industry
Greece 2011 - see Variable: GR2011A_IND - Industry
Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits)
Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits)
Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits)
Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits)
Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit)
Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits
Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit)
Haiti 1982 - see Variable: HT1982A_IND - Branch of work
Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits
Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits)
Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits)
Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit)
Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit)
Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy
Hungary 2011 - see Variable: HU2011A_IND - Industry
Indonesia 1971 - see Variable: ID1971A_IND - Industry
Indonesia 1976 - see Variable: ID1976A_IND - Industry
Indonesia 1980 - see Variable: ID1980A_IND - Industry
Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation
Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week
Indonesia 1995 - see Variable: ID1995A_IND - Industry
Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation
Indonesia 2005 - see Variable: ID2005A_IND - Industry
Indonesia 2010 - see Variable: ID2010A_IND - Industry
Iran 2006 - see Variable: IR2006A_IND4 - Industry
Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit)
Iraq 1997 - see Variable: IQ1997A_IND - Industry
Ireland 1971 - see Variable: IE1971A_IND - Industry
Ireland 1981 - see Variable: IE1981A_IND - Industry class
Ireland 1986 - see Variable: IE1986A_IND - Industry class
Ireland 1991 - see Variable: IE1991A_IND - Industry class
Ireland 1996 - see Variable: IE1996A_IND - Industry class
Ireland 2002 - see Variable: IE2002A_IND - Industry class
Ireland 2006 - see Variable: IE2006A_IND - Industry class
Ireland 2011 - see Variable: IE2011A_IND - Industry
Ireland 2016 - see Variable: IE2016A_IND - Industry
Israel 1972 - see Variable: IL1972A_IND - Industry
Israel 1983 - see Variable: IL1983A_IND - Industry
Israel 1995 - see Variable: IL1995A_IND - Industry
Israel 2008 - see Variable: IL2008A_IND - Branch of economy
Italy 2001 - see Variable: IT2001A_IND - Industry
Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity
Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job
Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits
Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit
Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment
Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section
Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in
Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization
Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit)
Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit)
Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4)
Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits)
Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit)
Liberia 2008 - see Variable: LR2008A_IND - Industry
Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit
Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit
Malawi 2008 - see Variable: MW2008A_IND2 - Main industry
Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit)
Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week
Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits)
Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits
Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month
Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity
Mali 2009 - see Variable: ML2009A_IND - Industry
Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit)
Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit)
Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit)
Mexico 1960 - see Variable: MX1960A_IND - Industry
Mexico 1970 - see Variable: MX1970A_IND - Industry
Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits
Mexico 1995 - see Variable: MX1995A_IND - Industry
Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits
Mexico 2010 - see Variable: MX2010A_IND - Industry
Mexico 2015 - see Variable: MX2015A_IND - Industry
Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits)
Mongolia 2000 - see Variable: MN2000A_IND - Industry
Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4)
Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit)
Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit)
Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits)
Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit)
Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit)
Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry
Mozambique 2007 - see Variable: MZ2007A_IND - Industry
Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2)
Myanmar 2014 - see Variable: MM2014A_IND - Industry
Nepal 2001 - see Variable: NP2001A_IND - Usual industry
Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit)
Netherlands 1960 - see Variable: NL1960A_IND - Industry
Netherlands 1971 - see Variable: NL1971A_IND - Industry
Netherlands 2001 - see Variable: NL2001A_IND - Industry
Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit)
Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits
Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits))
Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit
Palestine 1997 - see Variable: PS1997A_IND - Industry
Palestine 2007 - see Variable: PS2007A_IND - Industry
Palestine 2017 - see Variable: PS2017A_IND - Industry
Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit)
Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit]
Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit
Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits
Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits
Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits
Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits
Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit)
Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits)
Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits)
Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits
Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits
Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits)
Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits)
Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits)
Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week)
Philippines 1990 - see Variable: PH1990A_IND - Industry
Philippines 1995 - see Variable: PH1995A_IND - Industry
Philippines 2000 - see Variable: PH2000A_IND - Industry
Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit)
Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support)
Poland 2002 - see Variable: PL2002A_IND - Industry (main employer)
Portugal 1981 - see Variable: PT1981A_IND - Industry
Portugal 1991 - see Variable: PT1991A_IND - Industry
Portugal 2001 - see Variable: PT2001A_IND - Industry
Portugal 2011 - see Variable: PT2011A_IND - Industry
Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis
Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis
Puerto Rico 1990 - see Variable: PR1990A_IND - Industry
Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis
Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis
Puerto Rico 2010 - see Variable: PR2010A_IND - Industry
Puerto Rico 2015 - see Variable: PR2015A_IND - Industry
Puerto Rico 2020 - see Variable: PR2020A_IND - Industry
Romania 1977 - see Variable: RO1977A_IND - Industry of supporter
Romania 1977 - see Variable: RO1977A_WKACT - Activity category
Romania 1992 - see Variable: RO1992A_IND - Industry
Romania 2002 - see Variable: RO2002A_IND - Industry
Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories)
Rwanda 2002 - see Variable: RW2002A_IND - Industry
Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit
Senegal 1988 - see Variable: SN1988A_IND - Industry
Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_IND - Industry
Slovenia 2002 - see Variable: SI2002A_IND - Industry
South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits
South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit
South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit
South Sudan 2008 - see Variable: SS2008A_IND - Industry
Spain 1981 - see Variable: ES1981A_IND - Industry
Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment
Spain 2001 - see Variable: ES2001A_IND - Industry
Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits
Sudan 2008 - see Variable: SD2008A_IND - Industry
Suriname 2004 - see Variable: SR2004A_IND - Industry
Suriname 2012 - see Variable: SR2012A_IND - Industry (groups)
Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry)
Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry)
Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry)
Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry)
Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit)
Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week
Tanzania 2012 - see Variable: TZ2012A_IND - Industry
Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year
Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year
Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits
Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits
Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit)
Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry
Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits)
Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit)
Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits)
Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit
Uganda 2002 - see Variable: UG2002A_IND - Industry
United Kingdom 1961 - see Variable: UK1961A_IND - Industry
United Kingdom 1971 - see Variable: UK1971A_IND - Industry
United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification
United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification
United States 1960 - see Variable: US1960A_IND - Industry
United States 1970 - see Variable: US1970A_IND - Industry
United States 1980 - see Variable: US1980A_IND - Industry
United States 1990 - see Variable: US1990A_IND - Industry
United States 2000 - see Variable: US2000A_IND - Industry
United States 2005 - see Variable: US2005A_IND - Industry
United States 2010 - see Variable: US2010A_IND - Industry
United States 2015 - see Variable: US2015A_IND - Industry
United States 2020 - see Variable: US2020A_IND - Industry
Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit]
Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week
Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits)
Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits)
Venezuela 1981 - see Variable: VE1981A_IND - Industry
Venezuela 1990 - see Variable: VE1990A_IND - Industry
Venezuela 2001 - see Variable: VE2001A_IND - Industry
Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits
Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit
Vietnam 2009 - see Variable: VN2009A_IND - Industry
Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit
Zambia 1990 - see Variable: ZM1990A_IND - Industry
Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits
Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits
Work Variables -- PERSONStatus in employment (class of worker) [general version]CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.0NIU (not in universe)1Self-employed2Wage/salary worker3Unpaid worker4Other9Unknown/missingWork Variables -- PERSONStatus in employment (class of worker) [detailed version]CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.000NIU (not in universe)100Self-employed101Self-employed, unincorporated102Self-employed, incorporated110Employer111Sharecropper, employer120Working on own account121Own account, agriculture122Domestic worker, self-employed123Subsistence worker, own consumption124Own account, other125Own account, without temporary/unpaid help126Own account, with temporary/unpaid help130Member of cooperative140Sharecropper141Sharecropper, self-employed142Sharecropper, employee150Kibbutz member199Self-employed, not specified200Wage/salary worker201Management202Non-management203White collar (non-manual)204Blue collar (manual)205White or blue collar206Day laborer207Employee, with a permanent job208Employee, occasional, temporary, contract209Employee without legal contract210Wage/salary worker, private employer211Apprentice212Religious worker213Wage/salary worker, non-profit, NGO214White collar, private215Blue collar, private216Paid family worker217Cooperative employee220Wage/salary worker, government or public sector221Federal, government employee222State government employee223Local government employee224White collar, public225Blue collar, public226Public companies227Civil servants, local collectives230Domestic worker (work for private household)240Seasonal migrant241Seasonal migrant, no broker242Seasonal migrant, uses broker250Other wage and salary251Canal zone/commission employee252Government employment/training program253Mixed state/private enterprise/parastatal254Government public work program255State enterprise employee256Coordinated and continuous collaboration job300Unpaid worker310Unpaid family worker320Apprentice, unpaid or unspecified330Trainee340Apprentice or trainee350Works for others without wage400Other999Unknown/missingWork Variables -- PERSONSize of work establishmentESTABSZ reports the number of people employed in the respondent's work establishment.00None011 employee021 to 5031 to 9042 to 4052 to 5062 to 9075085 to 9096 to 9106 to 10116 to 391210 to 191310 to 241410 to 491510 to 991611 to 151711 to 201811 to 501916 to 192016 to 502120 to 492221 to 1002325 to 4992450 to 24925100 to 449306 or more3110 or more3220 or more3340 or more3450 or more3551 or more36100 or more37250 or more38500 or more98Unknown99NIU (not in universe)Work Variables -- PERSONReceives pension or similar benefitPENSION indicates whether the respondent received a pension or similar benefits.10Yes, receives a pension11Retirement12Retirement and other13Disability14Disability and other15Other or type not specified20No, does not receive a pension98Unknown99NIU (not in universe)Income 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 -- PERSONCountry of residence 5 years agoMIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category.00000NIU (not in universe)10000Africa11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, n.s.13000Northern Africa13010Algeria13020Egypt/United Arab Rep.13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, n.s.15000Western Africa15010Benin15020Burkina Faso15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15999Western Africa, n.s.19999Africa, n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St. Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21280Curacao21290Sint Maarten21999Caribbean, n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22990Central America, n.s.22991Central America and Caribbean23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24041U.S. Outlying Areas and Territories24999North or Central America, n.s.29999Americas, n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32900South Asia, not specified33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33900South-Eastern Asia, not specified34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34999Middle East, n.e.c.39999Asia, n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41030Czech Republic41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41999Eastern Europe, n.e.c.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42110Sweden42120United Kingdom42199Scandinavia42999Northern Europe, n.e.c.43000Southern Europe43010Albania43020Andorra43030Bosnia43040Croatia43050Gibraltar43060Greece43070Italy43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43999Southern Europe, n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxembourg44022Benelux (Belgium/Netherlands/Luxembourg)44030France44040Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44999Western Europe, n.e.c.49999Europe, n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.e.c.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, n.e.c.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Samoa54060Tokelau54070Tonga54080Tuvalu54090Wallis and Futuna Isls.54999Polynesia, n.e.c.59999Oceania, n.s.60000Other60010Other Arab country90000Non-migrants (international)99998Response suppressed99999UnknownMigration: Global Variables -- PERSON1st subnational geographic level of residence 5 years prior to survey, world [consistent boundaries over time]GEOMIG1_5 indicates the major administrative unit in which the person resided five years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence five years ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_5 match the geographic codes in GEOLEV1 (current place of residence).
For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_10. More on migration and geography can be found here.032002City of Buenos Aires [Province: Argentina]032006Buenos Aires province [Province: Argentina]032010Catamarca [Province: Argentina]032014Córdoba [Province: Argentina]032018Corrientes [Province: Argentina]032022Chaco [Province: Argentina]032026Chubut [Province: Argentina]032030Entre Ríos [Province: Argentina]032034Formosa [Province: Argentina]032038Jujuy [Province: Argentina]032042La Pampa [Province: Argentina]032046La Rioja [Province: Argentina]032050Mendoza [Province: Argentina]032054Misiones [Province: Argentina]032058Neuquén [Province: Argentina]032062Río Negro [Province: Argentina]032066Salta [Province: Argentina]032070San Juan [Province: Argentina]032074San Luis [Province: Argentina]032078Santa Cruz [Province: Argentina]032082Santa Fe [Province: Argentina]032086Santiago del Estero [Province: Argentina]032090Tucumán [Province: Argentina]032094Tierra del Fuego [Province: Argentina]032096Argentina, unknown [Province: Argentina]032097Foreign country [Province: Argentina]032098Unknown [Province: Argentina]032999NIU (not in universe) [Province: Argentina]068001Chuquisaca [Department: Bolivia]068002La Paz [Department: Bolivia]068003Cochabamba [Department: Bolivia]068004Oruro [Department: Bolivia]068005Potosí [Department: Bolivia]068006Tarija [Department: Bolivia]068007Santa Cruz [Department: Bolivia]068008Beni [Department: Bolivia]068009Pando [Department: Bolivia]068096Bolivia, province unknown [Department: Bolivia]068097Foreign country [Department: Bolivia]068098Unknown [Department: Bolivia]068099NIU (not in universe) [Department: Bolivia]072001Gaborone [District: Botswana]072002Francistown [District: Botswana]072003Lobatse [District: Botswana]072004Selebi Phikwe [District: Botswana]072007Central Tutume, Sowa [District: Botswana]072010Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana]072011Borolong [District: Botswana]072020South East [District: Botswana]072030Kweneng, Kweneng South, Kweneng North [District: Botswana]072040Kgatleng [District: Botswana]072050Central Serowe/Palapye [District: Botswana]072051Central Mahalapye [District: Botswana]072052Central Bobonong [District: Botswana]072053Central Boteti, Orapa [District: Botswana]072060North East [District: Botswana]072070Ngamiland East [District: Botswana]072071Ngamiland West, Delta [District: Botswana]072072Chobe [District: Botswana]072080Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana]072090Tshabong (Kgalagadi South) [District: Botswana]072091Hukunsti (Kgalagadi North) [District: Botswana]072092Botswana, district unknown [District: Botswana]072097Abroad [District: Botswana]072098Unknown [District: Botswana]072099NIU (not in universe) [District: Botswana]076011Rondônia [State: Brazil]076012Acre [State: Brazil]076013Amazonas [State: Brazil]076014Roraima [State: Brazil]076015Pará [State: Brazil]076016Amapá [State: Brazil]076021Maranhão [State: Brazil]076022Piauí [State: Brazil]076023Ceará [State: Brazil]076024Rio Grande do Norte [State: Brazil]076025Paraíba [State: Brazil]076026Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil]076027Alagoas [State: Brazil]076028Sergipe [State: Brazil]076029Bahia [State: Brazil]076031Minas Gerais [State: Brazil]076032Espírito Santo [State: Brazil]076033Rio de Janeiro, Guanabara [State: Brazil]076035São Paulo [State: Brazil]076036Serra dos Aimorés [State: Brazil]076041Paraná [State: Brazil]076042Santa Catarina [State: Brazil]076043Rio Grande do Sul [State: Brazil]076051Mato Grosso do Sul, Mato Grosso [State: Brazil]076052Goiás, Tocantins [State: Brazil]076053Distrito Federal [State: Brazil]076054Brazil, unspecified [State: Brazil]076097Abroad [State: Brazil]076098Unknown [State: Brazil]076099NIU (not in universe) [State: Brazil]120002Centre, Sud [Province: Cameroon]120003Est [Province: Cameroon]120004Nord, Adamoua, Extrème Nord [Province: Cameroon]120005Littoral [Province: Cameroon]120007Nord Ouest [Province: Cameroon]120008Ouest [Province: Cameroon]120010Sud Ouest [Province: Cameroon]120096Cameroon - unknown arrondissement [Province: Cameroon]120097Foreign country [Province: Cameroon]120098Unknown [Province: Cameroon]120099NIU (not in universe) [Province: Cameroon]124010Newfoundland and Labrador [Province: Canada]124011Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada]124012Nova Scotia [Province: Canada]124013New Brunswick [Province: Canada]124024Quebec [Province: Canada]124035Ontario [Province: Canada]124046Manitoba [Province: Canada]124047Saskatchewan [Province: Canada]124048Alberta [Province: Canada]124059British Columbia [Province: Canada]124099NIU (not in universe) [Province: Canada]152014Iquique, Tamarugal [Province: Chile]152021Antofagasta [Province: Chile]152022El Loa [Province: Chile]152023Tocopilla [Province: Chile]152031Copiapó [Province: Chile]152032Chañaral [Province: Chile]152033Huasco [Province: Chile]152041Elqui [Province: Chile]152042Choapa [Province: Chile]152043Limarí [Province: Chile]152051Valparaíso, Quillota, Marga Marga, Isla de Pascua [Province: Chile]152053Los Andes [Province: Chile]152054Petorca [Province: Chile]152056San Antonio [Province: Chile]152057San Felipe de Aconcagüa [Province: Chile]152061Cachapoal [Province: Chile]152062Cardenal Caro [Province: Chile]152063Colchagua [Province: Chile]152071Talca [Province: Chile]152072Cauquenes [Province: Chile]152073Curicó [Province: Chile]152074Linares [Province: Chile]152081Concepción [Province: Chile]152082Arauco [Province: Chile]152083Biobío [Province: Chile]152091Cautín [Province: Chile]152092Malleco [Province: Chile]152101Llanquihue [Province: Chile]152102Chiloé, Palena [Province: Chile]152103Osorno [Province: Chile]152111Coihaique [Province: Chile]152112Aisén, General Carrera, Capitan Prat [Province: Chile]152121Magallanes, Tierra del Fuego, Antártica Chilena [Province: Chile]152124Última Esperanza [Province: Chile]152131Santiago [Province: Chile]152132Cordillera [Province: Chile]152133Chacabuco [Province: Chile]152134Maipo [Province: Chile]152135Melipilla [Province: Chile]152136Talagante [Province: Chile]152141Valdivia, Ranco [Province: Chile]152151Arica, Parinacota [Province: Chile]152163Diguillín, Itata, Punilla [Province: Chile]152997Foreign country [Province: Chile]152998Unknown [Province: Chile]152999NIU (not in universe) [Province: Chile]156011Beijing [Province: China]156012Tianjin [Province: China]156013Hebei [Province: China]156014Shanxi [Province: China]156015Inner Mongolia [Province: China]156021Liaoning [Province: China]156022Jilin [Province: China]156023Heilongjiang [Province: China]156031Shanghai [Province: China]156032Jiangsu [Province: China]156033Zhejiang [Province: China]156034Anhui [Province: China]156035Fujian [Province: China]156036Jiangxi [Province: China]156037Shandong [Province: China]156041Henan [Province: China]156042Hubei [Province: China]156043Hunan [Province: China]156044Guangdong, Hainan [Province: China]156045Guangxi [Province: China]156051Sichuan, Chongqing [Province: China]156052Guizhou [Province: China]156053Yunnan [Province: China]156054Tibet [Province: China]156061Shaanxi [Province: China]156062Gansu [Province: China]156063Qinghai [Province: China]156064Ningxia [Province: China]156065Xinjiang [Province: China]156071Taiwan [China]156072Hong Kong [China]156073Macao [China]156097Other countries [Province: China]156099NIU (not in universe) [Province: China]170005Antioquia [Department: Colombia]170008Atlántico [Department: Colombia]170011Bogotá D.C., Cundinamarca [Department: Colombia]170013Bolívar, Sucre [Department: Colombia]170015Boyacá, Casanare [Department: Colombia]170018Caquetá [Department: Colombia]170019Cauca [Department: Colombia]170023Córdoba [Department: Colombia]170027Chocó [Department: Colombia]170041Huila [Department: Colombia]170044La Guajira [Department: Colombia]170050Meta [Department: Colombia]170052Nariño [Department: Colombia]170054Cesar, Norte De Santander, Magdalena [Department: Colombia]170066Caldas, Quindío, Risaralda [Department: Colombia]170068Santander [Department: Colombia]170073Tolima [Department: Colombia]170076Valle Del Cauca [Department: Colombia]170081Arauca [Department: Colombia]170086Putumayo [Department: Colombia]170088Archipiélago De San Andrés Y Providencia [Department: Colombia]170095Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia]170097Abroad, [Department: Colombia]170098Unknown, [Department: Colombia]170099NIU (not in universe), [Department: Colombia]188001San José [Province: Costa Rica]188002Alajuela [Province: Costa Rica]188003Cartago [Province: Costa Rica]188004Heredia [Province: Costa Rica]188005Guanacaste [Province: Costa Rica]188006Puntarenas [Province: Costa Rica]188007Limón [Province: Costa Rica]188097Foreign country [Province: Costa Rica]188098Unknown [Province: Costa Rica]188099NIU (not in universe) [Province: Costa Rica]214001Distrito Nacional, Santo Domingo [Province: Dominican Republic]214002Azua [Province: Dominican Republic]214003Baoruco, Barahona, Independencia [Province: Dominican Republic]214005Dajabón [Province: Dominican Republic]214006Duarte [Province: Dominican Republic]214007Elías Piña [Province: Dominican Republic]214008El Seibo, Hato Mayor [Province: Dominican Republic]214009Espaillat [Province: Dominican Republic]214011La Altagracia, La Romana [Province: Dominican Republic]214013Monseñor Nouel, La Vega [Province: Dominican Republic]214014María Trinidad Sánchez [Province: Dominican Republic]214015Monte Cristi [Province: Dominican Republic]214016Pedernales [Province: Dominican Republic]214017San José de Ocoa, Peravia [Province: Dominican Republic]214018Puerto Plata, Santiago [Province: Dominican Republic]214019Hermanas Mirabal [Province: Dominican Republic]214020Samaná [Province: Dominican Republic]214021San Cristóbal, Monte Plata [Province: Dominican Republic]214022San Juan [Province: Dominican Republic]214023San Pedro De Macorís [Province: Dominican Republic]214024Sánchez Ramírez [Province: Dominican Republic]214026Santiago Rodríguez [Province: Dominican Republic]214027Valverde [Province: Dominican Republic]214097Foreign country [Province: Dominican Republic]214098Unknown [Province: Dominican Republic]214099NIU (not in universe) [Province: Dominican Republic]218001Azuay [Province: Ecuador]218002Bolívar [Province: Ecuador]218004Carchi [Province: Ecuador]218005Cotopaxi [Province: Ecuador]218006Chimborazo [Province: Ecuador]218007El Oro [Province: Ecuador]218009Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador]218010Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador]218011Loja [Province: Ecuador]218014Morona Santiago [Province: Ecuador]218016Pastaza [Province: Ecuador]218018Tungurahua [Province: Ecuador]218019Zamora Chinchipe [Province: Ecuador]218021Napo, Orellana, Sucumbíos [Province: Ecuador]218097Foreign country [Province: Ecuador]218098Unknown and Disputed Zones [Province: Ecuador]218999NIU (not in universe) [Province: Ecuador]242001Central [Province: Fiji]242002Eastern [Province: Fiji]242003Northern [Province: Fiji]242004Western [Province: Fiji]242097Foreign country [Province: Fiji]242098Unknown [Province: Fiji]242999NIU (not in universe) [Province: Fiji]288001Western [Region: Ghana]288002Central [Region: Ghana]288003Greater Accra [Region: Ghana]288004Volta [Region: Ghana]288005Eastern [Region: Ghana]288006Ashanti [Region: Ghana]288007Brong Ahafo [Region: Ghana]288008Northern [Region: Ghana]288009Upper East [Region: Ghana]288010Upper West [Region: Ghana]288098Unknown [Region: Ghana]288099NIU (not in universe) [Region: Ghana]300001Etolia and Akarnania [Department: Greece]300003Viotia [Department: Greece]300004Evia [Department: Greece]300005Evrytania [Department: Greece]300006Fthiotida [Department: Greece]300007Fokida [Department: Greece]300011Argolida [Department: Greece]300012Arkadia [Department: Greece]300013Achaia [Department: Greece]300014Ilia [Department: Greece]300015Korinthia [Department: Greece]300016Lakonia [Department: Greece]300017Messinia [Department: Greece]300021Zakynthos [Department: Greece]300022Kerkyra [Department: Greece]300023Kefallinia [Department: Greece]300024Lefkada [Department: Greece]300031Arta [Department: Greece]300032Thesprotia [Department: Greece]300033Ioannina [Department: Greece]300034Preveza [Department: Greece]300041Karditsa [Department: Greece]300042Larissa [Department: Greece]300043Magnissia [Department: Greece]300044Trikala [Department: Greece]300051Grevena [Department: Greece]300052Drama [Department: Greece]300053Imathia [Department: Greece]300054Thessaloniki [Department: Greece]300055Kavala [Department: Greece]300056Kastoria [Department: Greece]300057Kilkis [Department: Greece]300058Kozani [Department: Greece]300059Pella [Department: Greece]300061Pieria [Department: Greece]300062Serres [Department: Greece]300063Florina [Department: Greece]300064Chalkidiki and Agion Oros [Department: Greece]300071Evros [Department: Greece]300072Xanthi [Department: Greece]300073Rodopi [Department: Greece]300081Dodekanissos [Department: Greece]300082Kyklades [Department: Greece]300083Lesvos [Department: Greece]300084Samos [Department: Greece]300085Chios [Department: Greece]300091Iraklio [Department: Greece]300092Lassithi [Department: Greece]300093Rethymno [Department: Greece]300094Chania [Department: Greece]300101Prefecture of Athens [Department: Greece]300102Prefecture of East Attiki [Department: Greece]300103Prefecture of West Attiki [Department: Greece]300104Prefecture of Pireas [Department: Greece]300996Foreign country [Department: Greece]300997Response suppressed [Department: Greece]300998Unknown [Department: Greece]300999NIU (not in universe) [Department: Greece]320001Guatemala [Department: Guatemala]320002El Progreso [Department: Guatemala]320003Sacatepéquez [Department: Guatemala]320004Chimaltenango [Department: Guatemala]320005Escuintla [Department: Guatemala]320006Santa Rosa [Department: Guatemala]320007Sololá [Department: Guatemala]320008Totonicapán [Department: Guatemala]320009Quetzaltenango [Department: Guatemala]320010Suchitepéquez [Department: Guatemala]320011Retalhuleu [Department: Guatemala]320012San Marcos [Department: Guatemala]320013Huehuetenango [Department: Guatemala]320014Quiché [Department: Guatemala]320015Baja Verapaz [Department: Guatemala]320016Alta Verapaz [Department: Guatemala]320017Petén [Department: Guatemala]320018Izabal [Department: Guatemala]320019Zacapa [Department: Guatemala]320020Chiquimula [Department: Guatemala]320021Jalapa [Department: Guatemala]320022Jutiapa [Department: Guatemala]320097Foreign Country [Department: Guatemala]320098Unknown [Department: Guatemala]320099NIU [Department: Guatemala]332003Nord (North) and Nord'est (North East) [Department: Haiti]332006Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]332007Grand'Anse, Nippes, Sud (South) [Department: Haiti]332009Nord'Ouest (North West) [Department: Haiti]332097Foreign Country [Department: Haiti]332098Unknown [Department: Haiti]332099NIU (not in universe) [Department: Haiti]340001Atlántida [Department: Honduras]340002Colón [Department: Honduras]340003Comayagua [Department: Honduras]340004Copán [Department: Honduras]340005Cortés [Department: Honduras]340006Choluteca [Department: Honduras]340007El Paraíso [Department: Honduras]340008Francisco Morazán [Department: Honduras]340009Gracias a Dios [Department: Honduras]340010Intibucá [Department: Honduras]340011Islas de la Bahía [Department: Honduras]340012La Paz [Department: Honduras]340013Lempira [Department: Honduras]340014Ocotepeque [Department: Honduras]340015Olancho [Department: Honduras]340016Santa Bárbara [Department: Honduras]340017Valle [Department: Honduras]340018Yoro [Department: Honduras]340097Abroad [Department: Honduras]340098Unknown [Department: Honduras]340999NIU (not in universe) [Department: Honduras]360011Nanggroe Aceh Darussalam [Province: Indonesia]360012Sumatera Utara [Province: Indonesia]360013Sumatera Barat [Province: Indonesia]360014Kepulauan Riau, Riau [Province: Indonesia]360015Jambi [Province: Indonesia]360016Bangka Belitung, Sumatera Selatan [Province: Indonesia]360017Bengkulu [Province: Indonesia]360018Lampung [Province: Indonesia]360031DKI Jakarta [Province: Indonesia]360032Banten, Jawa Barat [Province: Indonesia]360033Jawa Tengah [Province: Indonesia]360034DKI Yogyakarta [Province: Indonesia]360035Jawa Timur [Province: Indonesia]360051Bali [Province: Indonesia]360052Nusa Tenggara Barat [Province: Indonesia]360053Nusa Tenggara Timur [Province: Indonesia]360061Kalimantan Barat [Province: Indonesia]360062Kalimantan Tengah [Province: Indonesia]360063Kalimantan Selatan [Province: Indonesia]360064Kalimantan Timur [Province: Indonesia]360071Gorontalo, Sulawesi Utara [Province: Indonesia]360072Sulawesi Tengah [Province: Indonesia]360073Sulawesi Barat, Sulawesi Selatan [Province: Indonesia]360074Sulawesi Tenggara [Province: Indonesia]360081Maluku, Maluku Utara [Province: Indonesia]360094Papua, Papua Barat [Province: Indonesia]360097Abroad [Province: Indonesia]360098Unknown [Province: Indonesia]360099NIU (not in universe) [Province: Indonesia]360626East Timor [Province: Indonesia]376001Jerusalem [District: Israel]376002Northern [District: Israel]376003Haifa [District: Israel]376004Central [District: Israel]376005Tel-Aviv [District: Israel]376006Southern [District: Israel]376071Golan [District: Israel]376072Judea, Samaria and Gaza areas [District: Israel]376098Unknown [District: Israel]376099NIU (not in universe) [District: Israel]458001Johor [State: Malaysia]458002Kedah [State: Malaysia]458003Kelantan [State: Malaysia]458004Melaka [State: Malaysia]458005Negeri Sembilan [State: Malaysia]458006Pahang [State: Malaysia]458007Pulau Pinang [State: Malaysia]458008Perak [State: Malaysia]458009Perlis [State: Malaysia]458010Selangor, Kuala Lumpur Federal Territory [State: Malaysia]458011Terengganu [State: Malaysia]458012Sabah, Labuan Federal Territory [State: Malaysia]458013Sarawak [State: Malaysia]458097Other countries [State: Malaysia]458098Unknown [State: Malaysia]480011Port Louis [District: Mauritius]480012Pamplemousses [District: Mauritius]480013Rivière du Rempart [District: Mauritius]480014Flacq [District: Mauritius]480015Grand Port [District: Mauritius]480016Savanne [District: Mauritius]480017Plaines Wilhems [District: Mauritius]480018Moka [District: Mauritius]480019Black River [District: Mauritius]480020Rodrigues, Agaléga Islands, Saint Brandon [District: Mauritius]480097Abroad [District: Mauritius]480098Unknown [District: Mauritius]480099NIU [District: Mauritius]484001Aguascalientes [State: Mexico]484002Baja California [State: Mexico]484003Baja California Sur [State: Mexico]484004Campeche [State: Mexico]484005Coahuila de Zaragoza [State: Mexico]484006Colima [State: Mexico]484007Chiapas [State: Mexico]484008Chihuahua [State: Mexico]484009Distrito Federal [State: Mexico]484010Durango [State: Mexico]484011Guanajuato [State: Mexico]484012Guerrero [State: Mexico]484013Hidalgo [State: Mexico]484014Jalisco [State: Mexico]484015México [State: Mexico]484016Michoacán de Ocampo [State: Mexico]484017Morelos [State: Mexico]484018Nayarit [State: Mexico]484019Nuevo León [State: Mexico]484020Oaxaca [State: Mexico]484021Puebla [State: Mexico]484022Querétaro [State: Mexico]484023Quintana Roo [State: Mexico]484024San Luis Potosí [State: Mexico]484025Sinaloa [State: Mexico]484026Sonora [State: Mexico]484027Tabasco [State: Mexico]484028Tamaulipas [State: Mexico]484029Tlaxcala [State: Mexico]484030Veracruz de Ignacio de la Llave [State: Mexico]484031Yucatán [State: Mexico]484032Zacatecas [State: Mexico]484097Abroad [State: Mexico]484098Unknown [State: Mexico]484099NIU (not in universe) [State: Mexico]496011Ulaanbaatar [Province: Mongolia]496021Dornod [Province: Mongolia]496022Sukhbaatar [Province: Mongolia]496023Khentii [Province: Mongolia]496041Tuv [Province: Mongolia]496043Selenge [Province: Mongolia]496044Dornogobi [Province: Mongolia]496045Darkhan-Uul [Province: Mongolia]496046Umnugobi [Province: Mongolia]496048Dundgobi, Gobisumber [Province: Mongolia]496061Orkhon [Province: Mongolia]496062Uvurkhangai [Province: Mongolia]496063Bulgan [Province: Mongolia]496064Bayankhongor [Province: Mongolia]496065Arkhangai [Province: Mongolia]496067Khuvsgul [Province: Mongolia]496081Zavkhan [Province: Mongolia]496082Gobi-Altai [Province: Mongolia]496083Bayan-Ulgii [Province: Mongolia]496084Khovd [Province: Mongolia]496085Uvs [Province: Mongolia]496097Abroad [Province: Mongolia]496098Unknown [Province: Mongolia]496099NIU (not in universe) [Province: Mongolia]508001Niassa [Province: Mozambique]508002Cabo Delgado [Province: Mozambique]508003Nampula [Province: Mozambique]508004Zambézia [Province: Mozambique]508005Tete [Province: Mozambique]508006Manica [Province: Mozambique]508007Sofala [Province: Mozambique]508008Inhambane [Province: Mozambique]508009Gaza [Province: Mozambique]508010Maputo [Province: Mozambique]508011Cidade de Maputo [Province: Mozambique]508097Foreign Country [Province: Mozambique]508098Unknown [Province: Mozambique]508099NIU (not in universe) [Province: Mozambique]524001Mechi [Administrative Zone: Nepal]524002Koshi [Administrative Zone: Nepal]524003Sagarmatha [Administrative Zone: Nepal]524004Janakpur [Administrative Zone: Nepal]524005Bagmati [Administrative Zone: Nepal]524006Narayani [Administrative Zone: Nepal]524007Gandaki [Administrative Zone: Nepal]524008Dhawalagiri [Administrative Zone: Nepal]524009Lumbini [Administrative Zone: Nepal]524010Rapti [Administrative Zone: Nepal]524011Bheri [Administrative Zone: Nepal]524012Karnali [Administrative Zone: Nepal]524013Seti [Administrative Zone: Nepal]524014Mahakali [Administrative Zone: Nepal]524097Foreign Country [Administrative Zone: Nepal]524098Unknown [Administrative Zone: Nepal]524099NIU [Administrative Zone: Nepal]558005Nueva Segovia, Jinotega [Department: Nicaragua]558020Madriz [Department: Nicaragua]558025Estelí, León [Department: Nicaragua]558030Chinandega [Department: Nicaragua]558040Matagalpa, Atlantico Norte, Atlantico Sur, Zelaya [Department: Nicaragua]558050Boaco [Department: Nicaragua]558055Managua, Masaya [Department: Nicaragua]558065Chontales [Department: Nicaragua]558070Granada [Department: Nicaragua]558075Carazo [Department: Nicaragua]558080Rivas [Department: Nicaragua]558085Río San Juan [Department: Nicaragua]558097Abroad [Department: Nicaragua]558098Unknown [Department: Nicaragua]558999NIU (not in universe) [Department: Nicaragua]598001Western [Province: Papua New Guinea]598002Gulf [Province: Papua New Guinea]598003Central [Province: Papua New Guinea]598004National Capital District [Province: Papua New Guinea]598005Milne Bay [Province: Papua New Guinea]598006Northern [Province: Papua New Guinea]598007Southern Highlands, Hela [Province: Papua New Guinea]598008Enga [Province: Papua New Guinea]598009Western Highlands, Jiwaka [Province: Papua New Guinea]598010Chimbu [Province: Papua New Guinea]598011Eastern Highlands [Province: Papua New Guinea]598012Morobe [Province: Papua New Guinea]598013Madang [Province: Papua New Guinea]598014East Sepik [Province: Papua New Guinea]598015West Sepik [Province: Papua New Guinea]598016Manus [Province: Papua New Guinea]598017New Ireland [Province: Papua New Guinea]598018East New Britain [Province: Papua New Guinea]598019West New Britain [Province: Papua New Guinea]598020Autonomous Region of Bougainville [Province: Papua New Guinea]598097Foreign country [Province: Papua New Guinea]598098Unknown [Province: Papua New Guinea]598099NIU (not in universe) [Province: Papua New Guinea]600001Concepción [Department: Paraguay]600002San Pedro [Department: Paraguay]600003Cordillera [Department: Paraguay]600004Guaira [Department: Paraguay]600005Caaguazú, Canindeyú, Alto Paraná [Department: Paraguay]600006Caazapá [Department: Paraguay]600007Itapúa [Department: Paraguay]600008Misiones, Ñeembucú [Department: Paraguay]600009Paraguarí [Department: Paraguay]600011Central [Department: Paraguay]600013Amambay [Department: Paraguay]600015Alto Paraguay, Boquerón, Presidente Hayes [Department: Paraguay]600019Asunción [Department: Paraguay]600097Foreign Country [Department: Paraguay]600098Unknown [Department: Paraguay]600999NIU (not in universe) [Department: Paraguay]604001Amazonas [Department: Peru]604002Ancash [Department: Peru]604003Apurímac [Department: Peru]604004Arequipa [Department: Peru]604005Ayacucho [Department: Peru]604006Cajamarca [Department: Peru]604007Callao [Department: Peru]604008Cusco [Department: Peru]604009Huancavelica [Department: Peru]604010Huánuco [Department: Peru]604011Ica [Department: Peru]604012Junín [Department: Peru]604013La Libertad [Department: Peru]604014Lambayeque [Department: Peru]604015Lima [Department: Peru]604016Loreto [Department: Peru]604017Madre de Dios [Department: Peru]604018Moquegua [Department: Peru]604019Pasco [Department: Peru]604020Piura [Department: Peru]604021Puno [Department: Peru]604022San Martín [Department: Peru]604023Tacna [Department: Peru]604024Tumbes [Department: Peru]604025Ucayali [Department: Peru]604097Abroad [Department: Peru]604099NIU (not in universe) [Department: Peru]608001Abra [Province: Philippines]608002Agusan del norte [Province: Philippines]608003Agusan del sur [Province: Philippines]608004Aklan [Province: Philippines]608005Albay [Province: Philippines]608006Antique [Province: Philippines]608007Basilan, City Of Isabela [Province: Philippines]608008Bataan [Province: Philippines]608010Batangas [Province: Philippines]608011Benguet [Province: Philippines]608012Bohol [Province: Philippines]608013Bukidnon [Province: Philippines]608014Bulacan [Province: Philippines]608015Cagayan, Batanes [Province: Philippines]608016Camarines norte [Province: Philippines]608017Camarines Sur [Province: Philippines]608018Camiguin [Province: Philippines]608019Capiz [Province: Philippines]608020Catanduanes [Province: Philippines]608021Cavite [Province: Philippines]608022Cebu [Province: Philippines]608023Davao (Davao del Norte) [Province: Philippines]608024Davao del Sur, Davao Occidental [Province: Philippines]608025Davao Oriental [Province: Philippines]608026Eastern Samar [Province: Philippines]608027Ifugao [Province: Philippines]608028Ilocos Norte [Province: Philippines]608029Ilocos Sur [Province: Philippines]608030Iloilo, Guimaras [Province: Philippines]608031Isabela [Province: Philippines]608032Kalinga-Apayao, Apayo, Kalinga [Province: Philippines]608033La Union [Province: Philippines]608034Laguna [Province: Philippines]608035Lanao del Norte [Province: Philippines]608036Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines]608037Leyte, Biliran [Province: Philippines]608039Manila [Province: Philippines]608040Marinduque [Province: Philippines]608041Masbate [Province: Philippines]608042Misamis Occidental [Province: Philippines]608043Misamis Oriental [Province: Philippines]608044Mountain Province [Province: Philippines]608045Negros Occidental [Province: Philippines]608046Negros Oriental [Province: Philippines]608047Cotabato (North Cotabato) [Province: Philippines]608048Northern Samar [Province: Philippines]608049Nueva Ecija [Province: Philippines]608050Nueva Vizcaya [Province: Philippines]608051Occidental Mindoro [Province: Philippines]608052Oriental Mindoro [Province: Philippines]608053Palawan [Province: Philippines]608054Pampanga [Province: Philippines]608055Pangasinan [Province: Philippines]608056Quezon [Province: Philippines]608057Quirino [Province: Philippines]608058Rizal [Province: Philippines]608059Romblon [Province: Philippines]608060Samar (Western Samar) [Province: Philippines]608061Siquijor [Province: Philippines]608062Sorsogon [Province: Philippines]608063South Cotabato, Sarangani [Province: Philippines]608064Southern Leyte [Province: Philippines]608065Sultan Kudarat [Province: Philippines]608066Sulu [Province: Philippines]608067Surigao Del Norte, Dinagat islands [Province: Philippines]608068Surigao del Sur [Province: Philippines]608069Tarlac [Province: Philippines]608070Tawi-Tawi [Province: Philippines]608071Zambales [Province: Philippines]608072Zamboanga Norte [Province: Philippines]608073Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines]608074Manila Metro, 2nd District [Province: Philippines]608075Manila Metro, 3rd District [Province: Philippines]608076Manila Metro, 4th District [Province: Philippines]608077Aurora [Province: Philippines]608097Foreign country [Province: Philippines]608098Unknown [Province: Philippines]608099NIU (not in universe) [Province: Philippines]620111Minho-Lima [Subregion (NUTS-3): Portugal]620112Cávado [Subregion (NUTS-3): Portugal]620113Ave [Subregion (NUTS-3): Portugal]620114Grande Porto [Subregion (NUTS-3): Portugal]620115Tâmega [Subregion (NUTS-3): Portugal]620116Entre Douro e Vouga [Subregion (NUTS-3): Portugal]620117Douro [Subregion (NUTS-3): Portugal]620118Alto Trás-os-Montes [Subregion (NUTS-3): Portugal]620150Algarve [Subregion (NUTS-3): Portugal]620161Baixo Vouga [Subregion (NUTS-3): Portugal]620162Baixo Mondego [Subregion (NUTS-3): Portugal]620163Pinhal Litoral [Subregion (NUTS-3): Portugal]620165Dão-Lafões [Subregion (NUTS-3): Portugal]620166Oeste [Subregion (NUTS-3): Portugal]620167Médio Tejo [Subregion (NUTS-3): Portugal]620169Other Center [Subregion (NUTS-3): Portugal]620171Grande Lisboa [Subregion (NUTS-3): Portugal]620172Península de Setúbal [Subregion (NUTS-3): Portugal]620185Lezíria do Tejo [Subregion (NUTS-3): Portugal]620189Other Alentejo [Subregion (NUTS-3): Portugal]620200Região Autónoma dos Açores [Subregion (NUTS-3): Portugal]620300Região Autónoma da Madeira [Subregion (NUTS-3): Portugal]620998Foreign country [Subregion (NUTS-3): Portugal]620999NIU (not in universe) [Subregion (NUTS-3): Portugal]686001Dakar [Region: Senegal]686002Ziguinchor [Region: Senegal]686003Diourbel [Region: Senegal]686004Saint Louis, Louga, Matam [Region: Senegal]686005Tambacounda, Kedougou [Region: Senegal]686006Kaolack, Fatick, Kaffrine [Region: Senegal]686007Thiès [Region: Senegal]686010Kolda, Sedhiou [Region: Senegal]686097Abroad [Region: Senegal]686098Unknown [Region: Senegal]686099NIU (not in universe) [Region: Senegal]694011Kailahun [District: Sierra Leone]694012Kenema [District: Sierra Leone]694013Kono [District: Sierra Leone]694021Bombali [District: Sierra Leone]694022Kambia [District: Sierra Leone]694023Koinadugu [District: Sierra Leone]694024Port Loko [District: Sierra Leone]694025Tonkolili [District: Sierra Leone]694031Bo [District: Sierra Leone]694032Bonthe [District: Sierra Leone]694033Moyamba [District: Sierra Leone]694034Pujehun [District: Sierra Leone]694041Western Rural [District: Sierra Leone]694042Western Urban [District: Sierra Leone]694097Abroad [District: Sierra Leone]694098Unknown [District: Sierra Leone]694099NIU [District: Sierra Leone]704001Thành Phố Hà Nội, Vĩnh Phúc, Hoà Bình, Phú Thọ [Province: Vietnam]704002Hà Giang, Tuyên Quang [Province: Vietnam]704003Cao Bằng, Bắc Kạn, Thái Nguyên [Province: Vietnam]704010Lào Cai, Điện Biên, Lai Châu, Yên Bái [Province: Vietnam]704014Sơn La [Province: Vietnam]704020Lạng Sơn [Province: Vietnam]704022Quảng Ninh [Province: Vietnam]704024Bắc Giang, Bắc Ninh [Province: Vietnam]704030Hải Dương, Hưng Yên [Province: Vietnam]704031Thành Phố Hải Phòng [Province: Vietnam]704034Thái Bình [Province: Vietnam]704035Hà Nam, Nam Định, Ninh Bình [Province: Vietnam]704038Thanh Hoá [Province: Vietnam]704040Nghệ An, Hà Tĩnh [Province: Vietnam]704044Quảng Bình [Province: Vietnam]704045Quảng Trị [Province: Vietnam]704046Thừa Thiên Huế [Province: Vietnam]704048Thành Phố Đà Nẵng, Quảng Nam [Province: Vietnam]704051Quảng Ngãi [Province: Vietnam]704052Bình Định [Province: Vietnam]704054Phú Yên [Province: Vietnam]704056Khánh Hoà [Province: Vietnam]704058Ninh Thuận, Bình Thuận [Province: Vietnam]704062Kon Tum, Gia Lai [Province: Vietnam]704066Đắk Lắk, Đắk Nông [Province: Vietnam]704068Lâm Đồng [Province: Vietnam]704070Bình Phước, Bình Dương [Province: Vietnam]704072Tây Ninh [Province: Vietnam]704075Đồng Nai, Bà Rịa - Vũng Tàu [Province: Vietnam]704079Thành Phố Hồ Chí Minh [Province: Vietnam]704080Long An [Province: Vietnam]704082Tiền Giang [Province: Vietnam]704083Bến Tre [Province: Vietnam]704084Trà Vinh, Vĩnh Long [Province: Vietnam]704087Đồng Tháp [Province: Vietnam]704089An Giang [Province: Vietnam]704091Kiên Giang [Province: Vietnam]704092Thành Phố Cần Thơ, Hậu Giang, Sóc Trăng [Province: Vietnam]704095Bạc Liêu, Cà Mau [Province: Vietnam]704097Foreign Country [Province: Vietnam]704098Unknown [Province: Vietnam]704099NIU [Province: Vietnam]710001Western Cape [Province: South Africa]710004Free State [Province: South Africa]710005Eastern Cape, KwaZulu-Natal [Province: South Africa]710007Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]710097Foreign country [Province: South Africa]710098Unknown [Province: South Africa]710099NIU (not in universe) [Province: South Africa]724011Galicia [Communities & autonomous city: Spain]724012Principado de Asturias [Communities & autonomous city: Spain]724013Cantabria [Communities & autonomous city: Spain]724021País Vasco [Communities & autonomous city: Spain]724022Comunidad Foral de Navarra [Communities & autonomous city: Spain]724023La Rioja [Communities & autonomous city: Spain]724024Aragón [Communities & autonomous city: Spain]724030Comunidad de Madrid [Communities & autonomous city: Spain]724041Castilla y León [Communities & autonomous city: Spain]724042Castilla-La Mancha [Communities & autonomous city: Spain]724043Extremadura [Communities & autonomous city: Spain]724051Cataluña [Communities & autonomous city: Spain]724052Comunidad Valenciana [Communities & autonomous city: Spain]724053Islas Baleares [Communities & autonomous city: Spain]724061Andalucía [Communities & autonomous city: Spain]724062Región de Murcia [Communities & autonomous city: Spain]724063Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain]724064Ciudad Autónoma de Melilla [Communities & autonomous city: Spain]724070Canarias [Communities & autonomous city: Spain]724097Foreign country [Communities & autonomous city: Spain]724999NIU [Communities & autonomous city: Spain]780010Port of Spain [Region: Trinidad and Tobago]780020San Fernando [Region: Trinidad and Tobago]780080Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago]Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago]780094St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago]780098Unknown [Region: Trinidad and Tobago]780099NIU (not in universe) [Region: Trinidad and Tobago]840001Alabama [State: United States]840002Alaska [State: United States]840004Arizona [State: United States]840005Arkansas [State: United States]840006California [State: United States]840008Colorado [State: United States]840009Connecticut [State: United States]840010Delaware [State: United States]840011District of Columbia [State: United States]840012Florida [State: United States]840013Georgia [State: United States]840015Hawaii [State: United States]840016Idaho [State: United States]840017Illinois [State: United States]840018Indiana [State: United States]840019Iowa [State: United States]840020Kansas [State: United States]840021Kentucky [State: United States]840022Louisiana [State: United States]840023Maine [State: United States]840024Maryland [State: United States]840025Massachusetts [State: United States]840026Michigan [State: United States]840027Minnesota [State: United States]840028Mississippi [State: United States]840029Missouri [State: United States]840030Montana [State: United States]840031Nebraska [State: United States]840032Nevada [State: United States]840033New Hampshire [State: United States]840034New Jersey [State: United States]840035New Mexico [State: United States]840036New York [State: United States]840037North Carolina [State: United States]840038North Dakota [State: United States]840039Ohio [State: United States]840040Oklahoma [State: United States]840041Oregon [State: United States]840042Pennsylvania [State: United States]840044Rhode Island [State: United States]840045South Carolina [State: United States]840046South Dakota [State: United States]840047Tennessee [State: United States]840048Texas [State: United States]840049Utah [State: United States]840050Vermont [State: United States]840051Virginia [State: United States]840053Washington [State: United States]840054West Virginia [State: United States]840055Wisconsin [State: United States]840056Wyoming [State: United States]840097Abroad [State: United States]840098Unknown [State: United States]840999NIU (not in universe) [State: United States]858001Montevideo [Department: Uruguay]858002Artigas [Department: Uruguay]858003Canelones [Department: Uruguay]858004Cerro Largo [Department: Uruguay]858005Colonia [Department: Uruguay]858006Durazno [Department: Uruguay]858007Flores [Department: Uruguay]858008Florida [Department: Uruguay]858009Lavalleja [Department: Uruguay]858010Maldonado [Department: Uruguay]858011Paysandú [Department: Uruguay]858012Río Negro [Department: Uruguay]858013Rivera [Department: Uruguay]858014Rocha [Department: Uruguay]858015Salto [Department: Uruguay]858016San Jose [Department: Uruguay]858017Soriano [Department: Uruguay]858018Tacuarembó [Department: Uruguay]858019Treinta Y Tres [Department: Uruguay]858097Abroad [Department: Uruguay]858098Unknown [Department: Uruguay]858999NIU (not in universe) [Department: Uruguay]862001Federal District, Vargas [State: Venezuela]862002Amazonas Federal Territory [State: Venezuela]862003Anzoátegui [State: Venezuela]862004Apure [State: Venezuela]862005Aragua [State: Venezuela]862007Bolívar [State: Venezuela]862008Carabobo [State: Venezuela]862009Cojedes [State: Venezuela]862010Amacuros Delta Federal Territory [State: Venezuela]862011Falcón [State: Venezuela]862012Guárico [State: Venezuela]862013Lara [State: Venezuela]862014Barinas, Mérida [State: Venezuela]862015Miranda [State: Venezuela]862016Monagas [State: Venezuela]862017Nueva Esparta, Federal Dependencies [State: Venezuela]862018Portuguesa [State: Venezuela]862019Sucre [State: Venezuela]862020Táchira [State: Venezuela]862021Trujillo [State: Venezuela]862022Yaracuy [State: Venezuela]862023Zulia [State: Venezuela]862097Foreign country [State: Venezuela]862098Unknown [State: Venezuela]862099NIU (not in universe) [State: Venezuela]Migration: Global Variables -- PERSONProvince of residence 5 years ago, Argentina; consistent boundaries, GISMIG1_5_AR indicates the person's province of residence within Argentina 5 years ago.
Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.032002City of Buenos Aires032006Buenos Aires province032010Catamarca032014Córdoba032018Corrientes032022Chaco032026Chubut032030Entre Ríos032034Formosa032038Jujuy032042La Pampa032046La Rioja032050Mendoza032054Misiones032058Neuquén032062Río Negro032066Salta032070San Juan032074San Luis032078Santa Cruz032082Santa Fe032086Santiago del Estero032090Tucumán032094Tierra del Fuego032096Argentina, unknown032097Foreign country032098Unknown032999NIU (not in universe)Migration: A-E Variables -- PERSONDepartment of residence 5 years ago, Argentina; consistent boundaries, GISMIG2_5_AR indicates the person's department of residence 5 years ago within Argentina. Migration department codes from MIG2_5_AR are compatible with codes from GEO2_AR.
Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.032002001City of Buenos Aires032002098Capital Federal, district unknown032006001La Plata032006002General Pueyrredón032006003Pilar032006004Bahía Blanca032006005Escobar032006006San Nicolás032006007Tandil032006008Zárate032006009Olavarría032006010Pergamino032006011Luján032006012Campana032006013Necochea032006014Junín032006015Berisso032006016General Rodríguez032006017Presidente Perón, San Vicente032006018General Lavalle, La Costa032006019Azul032006020Chivilcoy032006021Mercedes032006022Balcarce, Lobería032006023Coronel de Marine L. Rosales032006024General Viamonte, Lincoln032006025Chascomus, Magdalena, Punta Indio032006026Alberti, Roque Pérez, 25 de Mayo032006027San Pedro032006028Tres Arroyos032006029Ensenada032006030Bolívar, General Alvear, Tapalqué032006031Cañuelas032006032Marcos Paz032006033General Las Heras, Lobos032006034Coronel Dorrego, Coronel Pringles, Monte Hermoso, Tornquist032006035Chacabuco0320060369 de Julio032006037Puan, Villarino032006038Trenque Lauquen032006039Ayacucho, General Guido, Pila, Rauch032006040Carmen de Areco, Navarro, Suipacha032006041General Alvarado032006042Bragado032006043Adolfo González Chaves, Benito Juárez, San Cayetano032006044Pehuajó032006045Coronel Suárez032006046Guaminí, Pellegrini, Rivadavia, Tres Lomas032006047Capitán Sarmiento, San Antonio de Areco032006048Ramallo032006049Salto032006050Saladillo032006051Baradero032006052General Arenales, Leandro N. Alem032006053General Villegas032006054General Juan Madariaga, Pinamar, Villa Gesell032006055Patagones032006056Arrecifes032006057Exaltación de la Cruz032006058General Belgrano, General Paz032006059Dolores032006060Daireaux, Hipólito Yrigoyen032006061Brandsen032006062Adolfo Alsina, Salliqueló032006063Colón032006064Las Flores032006065Carlos Tejedor, Florentino Ameghino, General Pinto032006066Rojas032006067San Andrés de Giles032006068Carlos Casares032006069Mar Chiquita032006070Monte032006071General La Madrid, Laprida032006072Saavedra032006073Castelli, Maipú, Tordillo032006074La Matanza032006075Lomas de Zamora032006076Quilmes032006077Almirante Brown032006078Merlo032006079Lanus032006080Moreno032006081Florencio Varela032006082General San Martín032006083Tigre032006084Avellaneda032006085Tres de Febrero032006086General Sarmiento, Jose C. Paz, Malvinas Argentinas, San Miguel032006087Berazategui032006088Hurlingham, Ituzaingo, Morón032006089Esteban Echeverría, Ezeiza032006090San Isidro032006091Vicente López032006092San Fernando032006098Buenos Aires, district unknown032010001Capital032010002Andalgalá, Santa María032010003Fray Mamerto Esquiú, Valle Viejo032010004Belén, Pomán032010005Ambato, Capayán, Paclín, Santa Rosa032010006Ancasti, El Alto, La Paz032010007Antofagasta de la Sierra, Tinogasta032010098Catamarca, district unknown032014001Capital032014002Río Cuarto032014003Colón032014004San Justo032014005Punilla032014006General San Martín032014007Tercero Arriba032014008Río Segundo032014009Unión032014010Marcos Juárez032014011Santa María032014012Cruz del Eje, Minas, Pocho032014013Juárez Celman032014014San Javier032014015Calamuchita032014016Ischilín, Totoral032014017Río Primero032014018Presidente Roque Saénz Peña032014019San Alberto032014020General Roca032014021Río Seco, Sobremonte, Tulumba032014098Cordoba, district unknown032018001Capital032018002Goya032018003Santo Tomé032018004Berón de Astrada, Concepción, General Paz, San Roque032018005Curuzú Cuatiá, Sauce032018006Paso de los Libres032018007Ituzaingó, San Miguel032018008Empedrado, Mburucuyá, San Luis del Palmar032018009Mercedes032018010Bella Vista032018011Monte Caseros032018012Esquina032018013Lavalle032018014Saladas032018015Itatí, San Cosme032018016General Alvear, San Martín032018098Corrientes, district unknown032022001San Fernando032022002Comandante Fernandez032022003Libertador General San Martín, 1 de Mayo032022004General Güemes032022005San Lorenzo, Sargento Cabral, 25 de Mayo032022006Mayor Luis J. Fontana0320220079 de Julio, O'Higgins032022008General Donovan, Libertad, Presidencia de La Plaza, Tapenaga032022009General Belgrano, Independencia032022010Almirante Brown032022011Quitilipi03202201212 de Octubre, 2 de Abril, Fray Justo Sta. María de Oro032022013Chacabuco032022014Bermejo032022015Maipú032022098Chaco, district unknown032026001Escalante032026002Rawson032026003Biedma032026004Futaleufú032026005Florentino Ameghino, Gaimán, Gastre, Mártires, Paso de los Indios, Río Senguer, Sarmiento, Tehuelches, Telsen032026006Cushamen, Languiñeo032026098Chubut, district unknown032030001Parana032030002Colón, Concordia, Federal, Feliciano, San Salvador, Villaguay032030003Gualeguaychú, Islas del Ibicuy032030004Uruguay032030005Federación032030006La Paz032030007Gualeguay032030008Diamante032030009Nogoyá032030010Victoria032030011Tala032030000Entre Rios, district unknown032034001Formosa032034002Laishi, Pilagás, Pirané032034003Pilcomayo032034004Bermejo, Patiño032034005Matacos, Ramón Lista032034098Formosa, district unknown032038001Dr. Manuel Belgrano, Palpalá032038002El Carmen, San Antonio032038003Ledesma, Santa Bárbara032038004San Pedro032038005Cochinoca, Rinconada, Santa Catalina, Susques, Tumbaya, Yaví032038006Humahuaca, Tilcara, Valle Grande032038098Jujuy, district unknown032042001Capital032042002Maracó032042003Conhello, Rancul, Toay, Trenel032042004Atreucó, Catriló, Guatrache, Quemú-Quemú032042005Chapaleufú, Realicó032042006Caleu-Caleu, Cura-Co, Chalileo, Chical-Có, Lihuel Calel, Limay Mahuida, Leventué, Puelén032042007Hucal, Utracán032042098La Pampa, district unknown032046001Capital032046002Chilecito032046003Coronel Felipe Varela, Famatina, General Angel V. Peñaloza, General Juan F. Quiroga, General Lamadrid, Vinchina, Independencia, Sanagasta032046004General Ocampo, General San Martín, Rosario Vera Peñaloza032046005Arauco, Castro Barros, San Blas de los Sauces032046006Chamical, General Belgrano032046098La Rioja, district unknown032050001Guaymallén032050002Las Heras032050003Godoy Cruz032050004San Rafael032050005Maipú032050006San Martín032050007Luján de Cuyo032050008Capital032050009Rivadavia032050010Tunuyán032050011General Alvear032050012Junín032050013Lavalle032050014San Carlos032050015Tupungato032050016Malargue032050017La Paz, Santa Rosa032050098Mendoza, district unknown032054001Capital, Leandro N. Alem032054002Oberá032054003Iguazú032054004El Dorado032054005Guaraní032054006San Ignacio032054007Cainguas032054008Libertador General San Martín032054009Apóstoles032054010General Manuel Belgrano032054011Montecarlo032054012Concepción, San Javier032054013San Pedro03205401425 de Mayo032054015Candelaria032054098Misiones, district unknown032058001Confluencia032058002Aluminé, Añelo, Catán-Lil, Collón-Cura, Loncopué, Minas, Ñorquin, Picún-Leufú, Picunches032058003Huiliches, Lácar, Los Lagos032058004Chos Malal, Pehuenches032058005Zapala032058098Neuquen, district unknown032062001General Roca032062002Bariloche032062003Adolfo Alsina032062004El Cuy, 9 de Julio, Ñorquincó, Pilcaniyeu, Valcheta, 25 de Mayo032062005Avellaneda032062006San Antonio032062007Conesa, Pichi Mahuida032062098Rio Negro, district unknown032066001Capital032066002General Jose de San Martín032066003Iruya, Orán, Santa Victoria032066004Anta032066005La Caldera, Rosario de Lerma032066006General Güemes032066007Metán032066008Guachipas, La Candelaria, Rosario de la Frontera032066009Cerrillos032066010Rivadavia032066011Cachí, La Poma, Los Andes, Molinos, San Carlos032066012Cafayate, La Vina032066013Chicoana032066098Salta, district unknown032070001Rawson032070002Capital032070003Chimbas032070004Rivadavia032070005Angaco, Caucete, 25 de Mayo032070006Pocito032070007Santa Lucía032070008Jachal, Valle Fértil032070009Albardón032070010Calingasta, Iglesia, Ullúm, Zonda032070011Sarmiento0320700129 de Julio, San Martín032070998San Juan, district unknown032074001La Capital032074002General Pedernera, Gobernador Dupuy032074003Ayacucho, Belgrano, Coronel Pringles, Libertador General San Martín032074004Junín032074005Chacabuco032074098San Luis, district unknown032078001Guer Aike032078002Deseado032078003Corpen Aike, Lago Argentino032078004Lago Buenos Aires, Magallanes, Río Chico032078098Santa Cruz, district unknown032082001Rosario032082002La Capital032082003General López032082004Castellanos032082005General Obligado032082006San Lorenzo032082007Las Colonias032082008Constitución032082009San Jerónimo032082010Caseros032082011San Cristóbal032082012Iriondo032082013San Martín032082014Vera032082015Belgrano032082016San Justo032082017San Javier0320820189 de Julio032082019Garay032082098Santa Fe, district unknown032086001Capital032086002Banda032086003Alberdi, Juan F. Ibarra, Moreno032086004Río Hondo032086005Robles032086006Choya, Guasayan032086007General Taboada032086008Jiménez, Pellegrini032086009Atamisqui, Salavina, San Martín032086010Copo032086011Loreto, Silipica032086012Ojo de Agua, Quebrachos032086013Aguirre, Belgrano, Mitre, Rivadavia032086014Figueroa, Sarmiento032086015Avellaneda032086098Santiago del Estero, district unknown032090001Famaillá, Lules, Capital, Tafí del Valle, Tafí Viajo, Trancas, Yerba Buena032090002Cruz Alta032090003Chicligasta, Granero, Juan Bautista Alberdi, La Cocha, Monteros, Río Chico, Simoca032090004Leales032090005Burruyacú032090098Tucuman, district unknown032094001Río Grande, Antarctic Argentina032094002Ushuaia032094098Tierra del Fuego, district unknown032097097Foreign Country032098098Unknown032099099NIUMigration: A-E Variables -- PERSONPerson number (within household)Argentina 1991: All personsThis variable indicates the person number (within the household).00Household record011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030Technical Person Variables -- PERSONRelationship<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A401" a="all">1. What is the relationship with the head of household?<br /><div class="i1">[] Spouse or companion<br />[] Son, daughter; step-son, step-daughter<br />[] Parent or parent-in-law<br />[] Son-in-law, daughter-in-law<br />[] Grandson, granddaughter<br />[] Other relative<br />[] Domestic servants and their relatives<br />[] Other non-relatives<br />[] Resident in a collective dwelling</div><br /></svar><svar v="AR91A401" a="all">We see <span class="em">question 1 Relation or relationship with the head of the household</span><br />[The instructions refer to a graphic of the census form]<br /><br />First we enumerate the head of the household, for whom the first page of Population is reserved.<br /><br />Then we enumerate all the other members of a household following the order of question No. 15. The relationship will always refer to the head of the household.<br /><br /><span class="em">CAUTION:</span> If in a household there are more than 6 persons, we enumerate the 7th and the following starting with the second page of Population of the new Document that we are using. That is to say, do not use the first page because the head was already enumerated.<br /></svar>Argentina 1991: All personsThis variable indicates kin relationship.0Person from collective dwelling1Head2Spouse3Child4Parent/parent-in-law5Child-in-law6Grandchild7Other family member8Domestic servant9Other non-family memberDemographic Variables -- PERSONSex<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A402" a="all">2. Sex<br /><div class="i1">[] Male<br />[] Female</div><br /></svar><svar v="AR91A402" a="all">We now go to question <span class="em">2: Sex.</span><br /><br />We fill it out by simple observation.<br /></svar>Argentina 1991: All personsThis variable indicates the person's sex.1Male2FemaleDemographic Variables -- PERSONAge<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A403" a="all">3. What is his or her current age in completed years? _ _<br /><div class="i1">For those younger than one year old mark 00. For those older than 99 years old mark 99.</div><br /></svar><svar v="AR91A403" a="all"><span class="em">3. What is his/her current age in completed years?</span><br /><br />Question No. 3 refers to the <span class="em">current age</span>. In the case of less than a year, we fill out 00 in the corresponding box and if it is a person 99 or older, we fill out 99.<br /></svar>Argentina 1991: All personsThis variable indicates the person's age.000011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858586868787888889899090919192929393949495959696979798989999+Demographic Variables -- PERSONRetirement payment<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A404" a="all">4. Does the person receive a pension or retirement payment?<br /><div class="i1">[] Yes<br />[] No<br />[] Unanswered</div><br /></svar><svar v="AR91A404" a="all"><span class="em">4. Does the person receive any pension or retirement payments?</span><br /><br />Question 4 refers to public assistance. We ask it to all persons because at any age one can benefit from a pension. Remember: we follow the arrows and fill out the circle totally.<br /></svar>Argentina 1991: All personsThis variable indicates whether the person receives a retirement payment or pension.1Yes2No9UnknownIncome Variables -- PERSONPlace of current residence<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A405 AR91A406" a="all">5. Where does the person usually live?<br /><div class="i1">The place where the person has lived for the last six months or more or has decided to reside.<br /><br />[] In this locality<br />[] In another locality in Argentina</div><br /><div class="i2">____ Locality or place<br />____ Department or Fraction<br />____ Province (consider the Federal Capital as a province)</div><br /><div class="i1">[] In another country: name of the country ____<br />[] Unanswered</div><br /></svar><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410">Questions 5, 6 and 7 permit us to study migrations.<br /></svar></p>
<p><svar v="AR91A405 AR91A406" a="all"><span class="em">5. Where does the person usually live?</span><br /></svar></p>
<p><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410"><span class="em">Important </span>: We fill out the information completely and with details about Locality, Department, Province or foreign Country. In locality of administrative area we do not register names of neighborhoods. No line should be left blank. If something is not known we write: Not known. We register as year of arrival in Argentina the last entrance to the country.<br /></svar>Argentina 1991: All personsThis variable indicates the place of current residence.
The sample lacks data for this and several other variables for roughly half the cases. Users should apply the alternative weight variable AR91A434 when using one of these variables.1Lives here2Lives in another Argentinian province3Lives abroad8Unknown9No responseMigration: Global Variables -- PERSONResidence 5 years ago<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A407 AR91A408" a="all">6. Where did the person usually live five years ago?<br /><div class="i1">[] In this locality<br />[] In another locality in Argentina</div><br /><div class="i2">____ Locality or place<br />____ Department or Fraction<br />____ Province (consider the Federal Capital as a province)</div><br /><div class="i1">[] In another country: name of the country ____<br />[] Unanswered</div><br /></svar><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410">Questions 5, 6 and 7 permit us to study migrations.<br /></svar></p>
<p><svar v="AR91A407 AR91A408" a="all"><span class="em">6. Where did the person usually live 5 years ago?</span><br /></svar></p>
<p><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410"><span class="em">Important </span>: We fill out the information completely and with details about Locality, Department, Province or foreign Country. In locality of administrative area we do not register names of neighborhoods. No line should be left blank. If something is not known we write: Not known. We register as year of arrival in Argentina the last entrance to the country.<br /></svar>Argentina 1991: Persons age 5+ [discrepancies: none]This variable indicates the place of residence 5 years ago.
The sample lacks data for this and several other variables for roughly half the cases. Users should apply the alternative weight variable AR91A434 when using one of these variables.0No response1Lived here2Lived in another Argentinian province3Lived abroad8Unkown9NIU (not in universe)Migration: Global Variables -- PERSONDepartment of residence 5 years ago<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A407 AR91A408" a="all">6. Where did the person usually live five years ago?<br /><div class="i1">[] In this locality<br />[] In another locality in Argentina</div><br /><div class="i2">____ Locality or place<br />____ Department or Fraction<br />____ Province (consider the Federal Capital as a province)</div><br /><div class="i1">[] In another country: name of the country ____<br />[] Unanswered</div><br /></svar><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410">Questions 5, 6 and 7 permit us to study migrations.<br /></svar></p>
<p><svar v="AR91A407 AR91A408" a="all"><span class="em">6. Where did the person usually live 5 years ago?</span><br /></svar></p>
<p><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410"><span class="em">Important </span>: We fill out the information completely and with details about Locality, Department, Province or foreign Country. In locality of administrative area we do not register names of neighborhoods. No line should be left blank. If something is not known we write: Not known. We register as year of arrival in Argentina the last entrance to the country.<br /></svar>Argentina 1991: Persons age 5+ [discrepancies: none]This variable indicates the person's department of residence 5 years ago.00000No response00199Africa, unspecified00201Bolivia00202Brazil00203Canada00204Colombia00205Chile00206Ecuador00207United States00208Mexico00209Panama00210Paraguay00211Peru00212Uruguay00213Venezuela00299Americas, unspecified00301South Korea00302Taiwan00303Israel00304Japan00305Korea00306China00399Asia, unspecified00401Spain00402France00403Italy00404Netherlands00405United Kingdom00406Sweden00407Switzerland00408Germany00499Europe, unspecified00501Australia00599Oceania, unspecified00997Abroad, country unknown02001Ciudad de Buenos Aires04028Almirante Brown04035Avellaneda04091Berazategui04259Esteban Echeverría04273Florencio Varela04371General San Martín 04378General Sarmiento 04427La Matanza04434Lanús04490Lomas de Zamora04539Merlo 04560Moreno04567Morón04658Quilmes04749San Fernando04756San Isidro04805Tigre04840Tres de Febrero04861Vicente López06007Adolfo Alsina06014Adolfo Gonzales Chaves06021Alberti06042Ayacucho06049Azul06056Bahía Blanca06063Balcarce06070Baradero06077Bartolomé Mitre06084Benito Juárez06098Berisso06105Bolívar06112Bragado06119Brandsen06126Campana06133Cañuelas06140Capitán Sarmiento06147Carlos Casares06154Carlos Tejedor06161Carmen de Areco06168Castelli06175Colon06182Coronel de Marine Leonardo Rosales06189Coronel Dorrego06196Coronel Pringles06203Coronel Suárez06210Chacabuco 06217Chascomús06224Chivilcoy06231Daireaux06238Dolores06245Ensenada06252Escobar06266Exaltación de la Cruz06277Florentino Ameghino06280General Alvarado06287General Alvear06294General Arenales06301General Belgrano06308General Guido06315General Juan Madariaga06322General La Madrid 06329General Las Heras06336General Lavalle06343General Paz 06351General Pinto 06357General Pueyrredon06364General Rodríguez 06385General Viamonte 06392General Villegas 06399Guaminí06406Hipólito Yrigoyen06413Junín06420La Costa06441La Plata06448Laprida06455Las Flores06462Leandro N. Alem06469Lincoln06476Lobería06483Lobos06497Luján06504Magdalena06511Maipú06518Mar Chiquita06525Marcos Paz06532Mercedes06547Monte06553Monte Hermoso06574Navarro06581Necochea06588Nueve de Julio06595Olavarría 06602Patagones06609Pehuajó06616Pellegrini 06623Pergamino06630Pila 06637Pilar06644Pinamar06651Puan06665Ramallo06672Rauch06679Rivadavia06686Rojas06693Roque Pérez06700Saavedra06707Saladillo06714Salto 06721Saliqueló06728San Andrés de Giles 06735San Antonio de Areco06742San Cayetano06763San Nicolás06770San Pedro 06777San Vicente 06784Suipacha06791Tandil06798Tapalqué06812Tordillo06819Tornquist06826Trenque Lauquen06833Tres Arroyos06847Tres Lomas0685425 de Mayo06868Villa Gesell06875Villarino06882Zárate06998Buenos Aires Province, unknown department10000Catamarca province, unknown department10007Ambato10014Ancasti10021Andalgalá10028Antofagasta de la Sierra10035Belén10042Capayán10049Capital10056El Alto10063Fray Mamerto Esquiú10070La Paz10077Paclín10084Pomán10091Santa María10098Santa Rosa 10105Tinogasta10112Valle Viejo14000Cordoba province, unknown department14007Calamuchita14014Capital14021Colón14028Cruz del Eje14035General Roca14042General San Martín14049Ischilín14056Juárez Celman 14063Marcos Juárez 14070Minas14077Pocho14084Presidente Roque Saénz Peña14091Punilla 14098Río Cuarto14105Río Primero14112Río Seco14119Río Segundo14126San Alberto14133San Javier14140San Justo14147Santa María14154Sobremonte14161Tercero Arriba14168Totoral14175Tulumba14182Unión18000Corrientes province, unknown department18007Bella Vista 18014Berón de Astrada 18021Capital18028Concepción18035Curuzú Cuatiá 18042Empedrado18049Esquina18056General Alvear 18063General Paz18070Goya 18077Itatí18084Ituzaingó18091Lavalle 18098Mburucuyá18105Mercedes18112Monte Caseros18119Paso de los Libres18126Saladas 18133San Cosme 18140San Luis del Palmar18147San Martín18154San Miguel18161San Roque18168Santo Tomé18175Sauce22000Del Chaco province, unknown department22007Almirante Brown 22014Bermejo22021Comandante Fernández 22028Chacabuco2203512 de Octubre22042Fray Justo Sta. María de Oro 22049General Belgrano22056General Donovan 22063General Güemes22070Independencia22077Libertad22084Libertador Gral. San Martín22091Maipú22098Mayor Luis J. Fontana 221059 de Julio22112O'Higgins22119Presidencia de La Plaza 221261° de Mayo22133Quitilipi22140San Fernando22147San Lorenzo22154Sargento Cabral22161Tapenaga2216825 de Mayo26000Del Chubut province, unknown department26007Biedma 26014Cushamen26021Escalante26028Florentino Ameghino26035Futaleufú26042Gaimán26049Gastre26056Languiñeo 26063Mártires26070Paso de los Indios 26077Rawson26084Río Senguer26091Sarmiento26098Tehuelches 26105Telsen30000Entre Rios province, unknown department30007Colón 30014Concordia30021Diamante30028Federación30035Federal30042Feliciano30049Gualeguay30056Gualeguaychú30063Islas del Ibicuy30070La Paz30077Nogoyá30084Paraná30091Tala30098Uruguay30105Victoria30112Villaguay34000Formosa province, unknown department34007Bermejo34014Formosa34021Laishi34028Matacos34035Patiño34042Pilagás 34049Pilcomayo34056Pirané 34063Ramón Lista38000Jujuy province, unknown department38007Cochinoca38014El Carmen38021Dr. Manuel Belgrano38028Humahuaca38035Ledesma38042Palpala38049Rinconada38056San Antonio38063San Pedro38070Santa Bárbara38077Santa Catalina38084Susques38094Tilcara38098Tumbaya38105Valle Grande38112Yaví42000La Pampa province, unknown department42007Atreucó42014Caleu Caleu42021Capital42028Catriló42035Conhello42042Curaco42049Chalileo42056Chapaleufú42063Chicalcó42070Guatrache42077Hucal42084Lihuel Calel42091Limay Mahuida42098Loventue42105Maracó42112Puelén42119Quemú-Quemú42126Rancul 42133Realicó42140Toay42147Trenel42154Utracán46000La Rioja province, unknown department46007Arauco46014Capital46021Castro Barros 46028Coronel Felipe Varela46035Chamical46042Chilecito 46049Famatina 46056General Angel V. Peñaloza46063General Belgrano 46070General Juan F. Quiroga46077General Lamadrid 46084General Ocampo46091General San Martín 46098Vinchina46105Independencia46112Rosario Vera Peñaloza46119San Blas de los Sauces46126Sanagasta 50000Mendoza province, unknown department50007Capital50014General Alvear50021Godoy Cruz50028Guaymallén 50035Junín50042La Paz 50049Las Heras50056Lavalle 50063Luján de Cuyo50070Maipú50077Malargüe50084Rivadavia50091San Carlos50098San Martín50105San Rafael50112Santa Rosa50119Tunuyán50126Tupungato54000Misiones province, unknown department54007Apóstoles54014Cainguás54021Candelaria54028Capital54035Concepción54042El Dorado54049General Manuel Belgrano54056Guaraní54063Iguazú54070Leandro N. Alem54077Libertador General San Martín54084Montecarlo54091Oberá54098San Ignacio54105San Javier54112San Pedro5411925 de Mayo58000Del Neuquen province, unknown department58007Aluminé58014Añelo58021Catán Lil58028Collón-Cura58035Confluencia58042Chos Malal58049Huiliches58056Lácar58063Loncopué58070Los lagos58077Minas58084Ñorquin58091Pehuenches58098Picún-Leufú58105Picunches58112Zapala62000Rio Negro province, unknown department62007Adolfo Alsina62014Avellaneda62021Bariloche62028Conesa62035El Cuy62042General Roca620499 de Julio62056Ñorquincó62063Pichí Mahuida62070Pilcaniyeu62077San Antonio62084Valcheta 6209125 de Mayo66000Salta province, unknown department66007Anta66014Cachí66021Cafayate66028Capital66035Cerrillos66042Chicoana66049General Guemes66056General José de San Martín66063Guachipas66070Iruya66077La Caldera66084La Candelaria 66091La Poma66098La Viña66105Los Andes66112Metán66119Molinos66126Orán66133Rivadavia66140Rosario de la Frontera66147Rosario de Lerma66154San Carlos66161Santa Victoria70000San Juan province, unknown department70007Albardón70014Angaco70021Calingasta70028Capital70035Caucete70042Chimbas70049Iglesia70056Jachal700639 de Julio70070Pocito70077Rawson70084Rivadavia70091San Martín70098Santa Lucía70105Sarmiento70112Ullún70119Valle Fértil7012625 de Mayo70133Zonda74000San Luis province, unknown department74007Ayacucho74014Belgrano74021Coronel Pringles74028Chacabuco74035General Pedernera 74042Gobernador Dupuy 74049Junín74056La Capital74063Libertador General San Martín78000Santa Cruz province, unknown department78007Corpen Aike78014Deseado78021Güer Aike78028Lago Argentino78035Lago Buenos Aires78042Magallanes78049Río Chico82000Santa Fe province, unknown department82007Belgrano82014Caseros82021Castellanos82028Constitución82035Garay82042General López82049General Obligado82056Iriondo 82063La Capital82070Las Colonias820779 de Julio82084Rosario82091San Cristóbal82098San Javier82105San Jerónimo82112San Justo82119San Lorenzo82126San Martín82133Vera86000Santiago del Estero province, unknown department86007Aguirre86014Alberdi86021Atamisqui86028Avellaneda86035Banda86042Belgrano86049Capital86056Copo86063Choya86070Figueroa86077General Taboada86084Guasayán86091Jiménez86098Juan F. Ibarra86105Loreto86112Mitre86119Moreno86126Ojo de Agua86133Pellegrini86140Quebrachos86147Río Hondo86154Rivadavia86161Robles86168Salavina86175San Martín86182Sarmiento86189Silipica90000Tucuman province, unknown department90007Burruyacú90014Cruz Alta90021Chicligasta90028Famailla90035Granero90042Juan B. Alberdi90049La Cocha90056Leales90063Lules90070Monteros90077Rio Chico90084Capital90091Simoca90098Tafi del Valle90105Tafí Viajo90112Trancas90119Yerba Buena94000Tierra del Fuego province, unknown department94007Río Grande94014Ushuaia99996Argentina, not specified99998Unknown99999NIU (not in universe)Migration: Global Variables -- PERSONPlace of birth<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A409 AR91A410" a="all">7. Where he or she was born?<br /><div class="i1">[] In this province<br />[] In another province in Argentina: Province (consider the Federal Capital as a province) ____<br />[] In Bolivia, Brazil, Chile, Paraguay, or Uruguay</div><br /><div class="i2">Name of the country ____<br />Year of arrival in Argentina (if before 1900, write 00) 19_ _ <br />[] Unanswered</div><br /><div class="i1">[] In another country</div><br /><div class="i2">Name of the country ____<br />Year of arrival in Argentina (if before 1900, write 00) 19_ _ <br />[] Unanswered</div><br /><div class="i1">[] Unanswered</div><br /></svar><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410">Questions 5, 6 and 7 permit us to study migrations.<br /></svar></p>
<p><svar v="AR91A409 AR91A410" a="all"><span class="em">7. Where was he or she born?</span><br /></svar></p>
<p><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410"><span class="em">Important </span>: We fill out the information completely and with details about Locality, Department, Province or foreign Country. In locality of administrative area we do not register names of neighborhoods. No line should be left blank. If something is not known we write: Not known. We register as year of arrival in Argentina the last entrance to the country.<br /></svar>Argentina 1991: All personsThis variable indicates the person's place of birth.
The sample lacks data for this and several other variables for roughly half the cases. Users should apply the alternative weight variable AR91A434 when using one of these variables.1This province2Another province3Neighboring country4Other country8Unknown9No responseNativity and Birthplace Variables -- PERSONProvince or country of birth<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A409 AR91A410" a="all">7. Where he or she was born?<br /><div class="i1">[] In this province<br />[] In another province in Argentina: Province (consider the Federal Capital as a province) ____<br />[] In Bolivia, Brazil, Chile, Paraguay, or Uruguay</div><br /><div class="i2">Name of the country ____<br />Year of arrival in Argentina (if before 1900, write 00) 19_ _ <br />[] Unanswered</div><br /><div class="i1">[] In another country</div><br /><div class="i2">Name of the country ____<br />Year of arrival in Argentina (if before 1900, write 00) 19_ _ <br />[] Unanswered</div><br /><div class="i1">[] Unanswered</div><br /></svar><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410">Questions 5, 6 and 7 permit us to study migrations.<br /></svar></p>
<p><svar v="AR91A409 AR91A410" a="all"><span class="em">7. Where was he or she born?</span><br /></svar></p>
<p><svar v="AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410"><span class="em">Important </span>: We fill out the information completely and with details about Locality, Department, Province or foreign Country. In locality of administrative area we do not register names of neighborhoods. No line should be left blank. If something is not known we write: Not known. We register as year of arrival in Argentina the last entrance to the country.<br /></svar>Argentina 1991: All personsThis variable indicates the province of birth.
The sample lacks data for this and several other variables for roughly half the cases. Users should apply the alternative weight variable AR91A434 when using one of these variables.002Capital Federal004Buenos Aires006Buenos Aires010Catamarca014Cordoba018Corrientes022Del Chaco026Del Chubut030Entre Ríos034Formosa038Jujuy042La Pampa046La Rioja050Mendoza054Misiones058Del Neuquen062Rio Negro066Salta070San Juan074San Luis078Santa Cruz082Santa Fe086Santiago del Estero090Tucuman094Tierra del Fuego, Antartida e Islas del Atlantico Sur099Argentina, not specified109Zaire132Zimbabwe138Sudan139Tanzania141Tunisia159South Africa202Bolivia203Brazil204Canada205Colombia206Costa Rica207Cuba208Chile209Dominican Republic210Ecuador211El Salvador212United States of America213Guatemala215Haiti216Honduras217Jamaica218Mexico219Nicaragua220Panama221Paraguay222Peru223Puerto Rico224Trinidad and Tobago225Uruguay226Venezuela227American Protectorates228Greenland230Aruba232Surinam233Dominica240Grenada289Unknown - neighbor country299Unknown - non-neighbor country301Afghanistan302Saudi Arabia303Bahrain304Myanmar306Kampuchea (Cambodia)307Sri Lanka308South Korea309North Korea310China312Philippines 313Taiwan315India316Indonesia317Iraq318Iran319Israel320Japan321Jordan324Laos325Lebanon333Singapore334Syria335Thailand341Hong Kong347Former Russian Republics381Korea (unspecified)382China (unspecified)401Albania402West Germany (BRD)403East Germany (DDR)405Austria406Belgium407Bulgaria408Checkoslovakia409Denmark410Spain411Finland412France413Greece414Hungary415Ireland416Iceland417Italy418Liechtenstein419Luxemburg420Malta421Monaco422Norway423Netherlands424Poland425Portugal426Great Britain427Romania428San Marino429Sweden430Switzerland431Vatican City432Yugoslavia433Gibraltar435Cyprus436Turkey437Russia438Germany (unspecified)481Estonia482Lithuania501Australia504New Zealand505Vanatu510New Zealand Protectorates511Oceania, US Dependencies515Micronesia601USSR (unspecified)998Other country, unspecified999UnknownNativity and Birthplace Variables -- PERSONLiteracy<svar v="AR91A401 AR91A402 AR91A403 AR91A404 AR91A405 AR91A406 AR91A407 AR91A408 AR91A409 AR91A410 AR91A411">[Questions 1-10 were asked of all persons.]<br /></svar></p>
<p><svar v="AR91A411" a="all">10. Does the person know how to read and write?<br /><div class="i1">[] Yes<br />[] No<br />[] Unanswered</div><br /></svar><svar v="AR91A411" a="all"><span class="em">10. Does the person know how to read and write?</span><br /><br /><div class="i1">In question No. 10 about literacy, we mark the alternative "Yes" if an enumerated person knows how to read or write in any language.</div><br /></svar>Argentina 1991: All personsThis variable indicates whether the person knows how to read and write.1Yes - read and write2No - read and write9UnknownEducation Variables -- PERSONAttending school<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A412" a="all">11. Do you attend some educational establishment?<br /><div class="i1">[] Attends a public establishment<br />[] Attends a private institution<br />[] Does not attend, but attended [skip questions 12-13]<br />[] Never attended [skip questions 12-16]<br />[] Unanswered [skip questions 12-16]</div><br /></svar><svar v="AR91A412" a="all"><span class="em">11. Do you attend some educational establishment?</span><br /><br /><div class="i1">School attendance: The attendance in an establishment of the system of formal (publicly or privately recognized) education is considered school attendance (attends or attended).<br /><br />Attendance in private academies, institutes or centers for studies that do not pertain to formal levels are excluded. For example: foreign languages, musical instruments, preparatory courses, for training, and technical courses done in these institutions (hairdressers, computer science, etc.). Also attendance in post graduate courses is excluded. If an enumerated person is doing post graduate work, it is considered that they "Do not attend but attended" at the university level.</div><br /></svar>Argentina 1991: Persons age 3+ [discrepancies: none]This variable indicates whether the person attends school.1Attends - public2Attends - private3Attended in past4Never attended8Unknown9NIU (not in universe)Education Variables -- PERSONEducation level attends<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A413 AR91A418" a="all">12. What level does the person attend?<br /><div class="i1">[Question 12 was asked of persons age 3+ who currently attended an educational establishment, per question 11.]<br /><br />[] Preschool or kindergarten [finished, skip questions 13-28]<br />[] Elementary<br />[] Secondary<br />[] Tertiary<br />[] University<br />[] Unanswered</div><br /></svar><svar v="AR91A413" a="all"><span class="em">12. What level does the person attend?</span><br /><br /><div class="i1">When we ask for level we are referring to the level studied in the country or abroad.</div><br /></svar>Argentina 1991: Persons age 3+ who attend an education establishment [discrepancies: none]This variable indicates the person's education level attended.1Kindergarten2Primary3Secondary4Tertiary5University8Unknown9NIU (not in universe)Education Variables -- PERSONEducation grade attends<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A414" a="all">13. What year or grade is the person attending?<br /><div class="i1">[Question 13 was asked of persons age 3+ who currently attend an educational establishment at a level higher than preschool or kindergarten, per questions 11-12.]<br /><br />[After responding to question 13, skip questions 14-16.]<br /><br />[] 1st<br />[] 2nd<br />[] 3rd<br />[] 4th<br />[] 5th<br />[] 6th<br />[] 7th<br />[] Unanswered</div><br /></svar><svar v="AR91A414" a="all"><span class="em">13. What year or grade is the person attending?</span><br /><br /><div class="i1">We take into account here that all studies are organized into grades or years. However, always they should respond in grades or years (See conversion chart).</div><br /></svar>Argentina 1991: Persons age 3+ who attend higher than kindergarten [discrepancies: none]This variable indicates the education grade that the person currently attends.0NIU (not in universe)11223344556677+9UnknownEducation Variables -- PERSONHighest education level attended<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A415" a="all">14. What is the highest level that the person attended?<br /><div class="i1">[Question 14 was asked of persons age 3+ who do not currently attend an educational establishment but attended one in the past, per question 11.]<br /><br />[] Preschool or kindergarten - continue on the other side [skip questions 15-16]<br />[] Elementary<br />[] Secondary<br />[] Tertiary<br />[] University<br />[] Unanswered</div><br /></svar><svar v="AR91A415" a="all"><span class="em">14. What is the highest level that the person attended?</span><br /></svar></p>
<p><svar v="AR91A415 AR91A416"><div class="i1">Remember: if the highest level reached was the first, we take into account the changes produced starting in 1966 in the numbering of the grades, where 1st superior was eliminated and 7th was added. For example: if a person tells us that 3rd grade was passed before 1966, we write down 4th</div><br /></svar>Argentina 1991: Persons age 3+ not in school but who attended previously [discrepancies: none]This variable indicates the highest educational level attended.0NIU (not in universe)1Kindergarten2Primary3Secondary4Tertiary5University9UnknownEducation Variables -- PERSONHighest grade passed<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A416" a="all">15. What was the highest year or grade that the person passed at this level?<br /><div class="i1">[Question 15 was asked of persons age 3+ who did not currently attend an educational establishment but attended one in the past, at a level higher than preschool or kindergarten, per questions 11 and 14.]<br /><br />[] Did not complete 1st - continue on the other side [skip question 16]<br />[] 1st<br />[] 2nd<br />[] 3rd<br />[] 4th<br />[] 5th<br />[] 6th<br />[] 7th<br />[] Unanswered</div><br /></svar><svar v="AR91A416" a="all"><span class="em">15. What was the highest year or grade that the person passed at this level?</span><br /></svar></p>
<p><svar v="AR91A415 AR91A416"><div class="i1">Remember: if the highest level reached was the first, we take into account the changes produced starting in 1966 in the numbering of the grades, where 1st superior was eliminated and 7th was added. For example: if a person tells us that 3rd grade was passed before 1966, we write down 4th</div><br /></svar>Argentina 1991: Persons age 3+ not in school who attended higher than kindergarten in the past [discrepancies: type I: trace, type II: none]This variable indicates the highest school grade passed.0Not first11223344556677+8Unknown9NIU (not in universe)Education Variables -- PERSONCompleted education level<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A417 AR91A418" a="AR91A417">16. Did the person complete this level?<br /><div class="i1">[Question 16 was asked of persons age 3+ who do not currently attend an educational establishment but attended one in the past, at a level higher than preschool or kindergarten, and completed at least the 1st year at that level, per questions 11, 14, and 15.]<br /><br />[] Yes<br />[] No<br />[] Unanswered</div><br /></svar><svar v="AR91A417 AR91A418" a="all"><span class="em">16. Did you complete this level?</span><br /><br /><span class="pg">[p. 30]</span><br /><br />Remember: fill out the circle totally. We follow the arrows.<br />We see how we register the grade or year in the following situations:<br /><div class="i1">National literacy plan</div><br /><div class="i2">Year or Grade is 1</div><br /><div class="i1">Adult primary school center (dependent upon National Government)</div><br /><div class="i2">Year or grade is 3 if cycle is 1<br />Year or grade is 5 if cycle is 2<br />Year or grade is 7 if cycle is 3</div><br /> <div class="i1">Adult Secondary School or Center (dependent upon National Government)</div><br /><div class="i2">Year or grade is 2 if cycle is 1<br />Year or grade is 4 if cycle is 2<br />Year or grade is 5 if cycle is 3</div><br /></svar>Argentina 1991: Persons age 3+ not in school who completed 1 or more years above kindergarten in past [discrepancies: none]This variable indicates whether the person completed a course when he/she was attending an educational establishment.0NIU (not in universe)1Yes, completed2No, did not complete9UnknownEducation Variables -- PERSONHighest level of education<svar v="AR91A412 AR91A413 AR91A414 AR91A415 AR91A416 AR91A417 AR91A418">For all persons 3 years old and more<br />[Questions 11- 16 were asked of persons age 3 years or older.]<br /></svar></p>
<p><svar v="AR91A413 AR91A418" a="all">12. What level does the person attend?<br /><div class="i1">[Question 12 was asked of persons age 3+ who currently attended an educational establishment, per question 11.]<br /><br />[] Preschool or kindergarten [finished, skip questions 13-28]<br />[] Elementary<br />[] Secondary<br />[] Tertiary<br />[] University<br />[] Unanswered</div><br /></svar><svar v="AR91A417 AR91A418" a="all"><span class="em">16. Did you complete this level?</span><br /><br /><span class="pg">[p. 30]</span><br /><br />Remember: fill out the circle totally. We follow the arrows.<br />We see how we register the grade or year in the following situations:<br /><div class="i1">National literacy plan</div><br /><div class="i2">Year or Grade is 1</div><br /><div class="i1">Adult primary school center (dependent upon National Government)</div><br /><div class="i2">Year or grade is 3 if cycle is 1<br />Year or grade is 5 if cycle is 2<br />Year or grade is 7 if cycle is 3</div><br /> <div class="i1">Adult Secondary School or Center (dependent upon National Government)</div><br /><div class="i2">Year or grade is 2 if cycle is 1<br />Year or grade is 4 if cycle is 2<br />Year or grade is 5 if cycle is 3</div><br /></svar>Argentina 1991: Persons age 3+ [discrepancies: none]This variable indicates the highest level of education completed.00NIU (not in universe)01Never attended02Preschool03Primary incomplete04Primary complete05Seconday incomplete06Secondary complete07Tertiary incomplete08Tertiary complete09University incomplete10University complete99UnknownEducation Variables -- PERSONLabor relation<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422" a="all">21. In your main job, the one where you work the most hours, what position did you have in this occupation?<br /><div class="i1">[] Owner or partner (has employees)</div><br /><div class="i2">How many workers or employers are there in the establishment where you work?</div><br /><div class="i3">[] 1 to 5<br />[] 6 or more<br />[] Unanswered</div><br /><div class="i1">[] Employee or worker in the private sector</div><br /><div class="i2">How many workers or employers are there in the establishment where you work?</div><br /><div class="i3">[] 1 to 5<br />[] 6 or more<br />[] Unanswered</div><br /><div class="i1">[] Employee or worker in the public sector</div><br /><div class="i2">[] National<br />[] Provincial<br />[] Municipal<br />[] Unanswered</div><br /><div class="i1">[] Domestic employee</div><br /><div class="i2">[] Self-employed (does not have employer)<br />[] Family worker without regular income<br />[] Unanswered</div><br /></svar><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422" a="all"><span class="em">21. In your main job, the one where you work the most hours, what position did you have in this occupation?</span><br /><br /><div class="i1">"Main job" is what a person has done for the most hours of the previous week to the week of the Census. If a person answers us that he/she is an "employer" or "laborer or worker of the private sector", we are going to investigate the size of the establishment where they work.<br /><br />The establishment is a physical place (factory, building) where a person does their job. If a person informs us that he/she is "laborer or worker of the public sector", we ask if it is of the National, Provincial, or Municipal Administration.<br /><br />We make clear with examples the concept of "non remunerated family worker": a daughter of a grocer who works there without having an established wage; a wife or children who help a rural farmer with the harvest, without receiving a direct payment.</div><br /></svar>Argentina 1991: Persons age 14+ who had a job last week [discrepancies: none]This variable indicates employment status.0NIU (not in universe)1Employer (private)2Private employee3Public employee4Domestic servant5Own account6Family worker9UnknownWork Variables -- PERSONActivity status<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A420" a="all">17. During the past week, did you work, even if it was for just a few hours?<br /><div class="i1">[] Yes [skip questions 18-20]<br />[] No<br />[] Unanswered [skip questions 18-24]</div><br /><br />18. Did you do anything in the house that was for outside or help anyone in a business, small farm, or work?<br /><div class="i1">[Question 18 was asked of persons age 14+ who did not formally work last week, per question 17.]<br /><br />[] Yes [skip questions 19-20]<br />[] No<br />[] Unanswered [skip questions 19-24]</div><br /><br />19. Were you off work because of illness, vacation, etc?<br /><div class="i1">[Question 19 was asked of persons age 14+ who did not formally work last week, per question 17, and did not do any informal work last week, per question 18.]<br /><br />[] Yes [skip question 20]<br />[] No<br />[] Unanswered [skip questions 20-24]</div><br /><br />20. During the past four weeks, did you look for work?<br /><div class="i1">[Question 20 was asked of persons age 14+ who did not do any work last week due to reasons other then sickness, vacation, etc., per questions 17-19.]<br /><br />[] Yes [skip questions 21-24]<br />[] No [skip questions 21-24]<br />[] Unanswered [skip questions 21-24]</div><br /></svar><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar></p>
<p><svar v="AR91A420" a="all"><span class="em">17 During the past week, did you work, even if it was for just a few hours?</span><br /><br /><div class="i1">"Work" includes those who worked even if it was for one hour last week to the census week, that is, between Sunday May 5 to Saturday, May 11. It refers to those who receive a payment in money or in kind for the work that they do. It includes soldiers in active service and conscripts. It does not include those who do a job, of community or voluntarily without payment in any nature.</div><br /><br />[Instructions omitted which refer to a graphic of the census form including the following question:]<br /><br /><span class="em">18. Did you do anything in the house that was for outside or help anyone in a business, small farm, or work?</span><br /><br /><div class="i1">This question is asked to those in spite of having answered that they "did not work" in the previous question, doing jobs such as regularly helping a family member in a store, kiosk, farm, making something in the house to sell, etc., receive or not remuneration for it.</div><br /><br />[The instructions refer to a graphic of the census form including the following question:]<br /><br /><span class="em">19. Were you off work because of illness, vacation, etc.?</span><br /><br /><div class="i1">The leave should be for sickness, vacation, bad weather, strike, suspension, etc.<br />[The instructions refer to a graphic of the census form including the following question:]</div><br /><br /><span class="em">20. During the last four weeks, did you look for work?</span><br /><br /><div class="i1">"Looked for work" refers to responding to public advertisements in newspapers or other means, applying for jobs, registering in employment agencies, looking for financial resources or materials to establish a company, applying for permits and licenses to start a labor activity; asking in work places, small farms <span class="lang">chacras</span>, farms, factories, markets, and other meeting places, etc.</div><br /></svar>Argentina 1991: Persons age 14+ [discrepancies: none]This variable indicates whether the person is economically active.0NIU (not in universe)1Active - employed2Active - unemployed3Inactive - retired4Inactive - student5Inactive - other situation9UnknownWork Variables -- PERSONNumber of employees in work establishment<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422" a="all">21. In your main job, the one where you work the most hours, what position did you have in this occupation?<br /><div class="i1">[] Owner or partner (has employees)</div><br /><div class="i2">How many workers or employers are there in the establishment where you work?</div><br /><div class="i3">[] 1 to 5<br />[] 6 or more<br />[] Unanswered</div><br /><div class="i1">[] Employee or worker in the private sector</div><br /><div class="i2">How many workers or employers are there in the establishment where you work?</div><br /><div class="i3">[] 1 to 5<br />[] 6 or more<br />[] Unanswered</div><br /><div class="i1">[] Employee or worker in the public sector</div><br /><div class="i2">[] National<br />[] Provincial<br />[] Municipal<br />[] Unanswered</div><br /><div class="i1">[] Domestic employee</div><br /><div class="i2">[] Self-employed (does not have employer)<br />[] Family worker without regular income<br />[] Unanswered</div><br /></svar><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422" a="all"><span class="em">21. In your main job, the one where you work the most hours, what position did you have in this occupation?</span><br /><br /><div class="i1">"Main job" is what a person has done for the most hours of the previous week to the week of the Census. If a person answers us that he/she is an "employer" or "laborer or worker of the private sector", we are going to investigate the size of the establishment where they work.<br /><br />The establishment is a physical place (factory, building) where a person does their job. If a person informs us that he/she is "laborer or worker of the public sector", we ask if it is of the National, Provincial, or Municipal Administration.<br /><br />We make clear with examples the concept of "non remunerated family worker": a daughter of a grocer who works there without having an established wage; a wife or children who help a rural farmer with the harvest, without receiving a direct payment.</div><br /></svar>Argentina 1991: Persons age 14+ who had a job in the private sector last week [discrepancies: none]This variable indicates the number of employees in the person's working establishment.0NIU (not in universe)11 to 526 or more9UnknownWork Variables -- PERSONJurisdiction [of public employment]<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422" a="all">21. In your main job, the one where you work the most hours, what position did you have in this occupation?<br /><div class="i1">[] Owner or partner (has employees)</div><br /><div class="i2">How many workers or employers are there in the establishment where you work?</div><br /><div class="i3">[] 1 to 5<br />[] 6 or more<br />[] Unanswered</div><br /><div class="i1">[] Employee or worker in the private sector</div><br /><div class="i2">How many workers or employers are there in the establishment where you work?</div><br /><div class="i3">[] 1 to 5<br />[] 6 or more<br />[] Unanswered</div><br /><div class="i1">[] Employee or worker in the public sector</div><br /><div class="i2">[] National<br />[] Provincial<br />[] Municipal<br />[] Unanswered</div><br /><div class="i1">[] Domestic employee</div><br /><div class="i2">[] Self-employed (does not have employer)<br />[] Family worker without regular income<br />[] Unanswered</div><br /></svar><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422" a="all"><span class="em">21. In your main job, the one where you work the most hours, what position did you have in this occupation?</span><br /><br /><div class="i1">"Main job" is what a person has done for the most hours of the previous week to the week of the Census. If a person answers us that he/she is an "employer" or "laborer or worker of the private sector", we are going to investigate the size of the establishment where they work.<br /><br />The establishment is a physical place (factory, building) where a person does their job. If a person informs us that he/she is "laborer or worker of the public sector", we ask if it is of the National, Provincial, or Municipal Administration.<br /><br />We make clear with examples the concept of "non remunerated family worker": a daughter of a grocer who works there without having an established wage; a wife or children who help a rural farmer with the harvest, without receiving a direct payment.</div><br /></svar>Argentina 1991: Persons age 14+ who had a job in the public sector last week [discrepancies: none]This variable indicates the jurisdiction of public employment.0NIU (not in universe)1National2Provincial3Municipal9UnknownWork Variables -- PERSONIndustry<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A423" a="all">22. What does the establishment or place where the person works do or produce? ____<br /><div class="i1">For example: stove factory, collective passenger transportation, leather shoe factory, elementary education, preparation and sale of cakes, etc.</div><br /></svar><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar></p>
<p><svar v="AR91A423" a="all"><span class="em">22. What does the establishment or place where the person works do or produce?</span><br /><br /><div class="i1">Here we register what an establishment does but not the activity the enumerated person did in it.<br /><br />When we say place or establishment we are referring to one physical unit, for example a factory, a business, a school.<br /><br />One should keep in mind that a company can have one or many establishments. For example, let us suppose that an oven factory has its production plant in San Luis and the administrative offices in the Federal Capital. In this case we have two different establishments and we should register the activity of the establishment where the enumerated person works; "production of ovens" or "central administration of a factory that produces ovens."<br /><br />There exist persons who do all or a large part of their activities away from the establishment where they work, like for example: chauffeurs by means of transportation, distributors of soft drinks, etc. In these cases equally we want to know what is the economic activity that the establishment carries out which the enumerated person does, for example "automobile transporter of passengers", "production of soft drinks", etc.<br /><br />In the case of a worker for their own account (without employees or laborers) we register the activity of this job, since it is the same person who constitutes the establishment.<br /><br />We write in as much detail as possible the response that is given to us trying to go into depth, for example, what is done, what they do, with what primary material, and for what reason or for whom they produce it or make it.</div><br /><br /><span class="pg">[p. 32]</span><br /><br />We see the following examples:<br /><div class="i1">1 -- Production of furniture (what they do) of wood (with what primary material) for sale to the public (for what reason and for whom do they do it).<br /><br />2 -- Production and canning of preservatives, marmalade and jelly (What they do or produce and what is done).<br /><br />3 -- Sale of articles of clothing (What they do or what is done) to commercial retailers (For whom they do it).<br /><br />4 -- Railway transportation (What they do, what is done) of passengers (For whom they do it).</div><br /></svar>Argentina 1991: Persons age 14+ who had a job last week [discrepancies: type I: trace, type II: none]This variable indicates the industry where the respondent worked.
The sample lacks data for this and several other variables for roughly half the cases. Users should apply the alternative weight variable AR91A434 when using one of these variables.00Activities not well specified and/or no answer01Agriculture, cattle ranching, hunting and related service activities02Forestry, lumber extraction and related service activities05Fishing, production in fish hatcheries and fish farms; services activities related to fishing10Extraction of coal and lignite; peat extraction11Extraction of crude petroleum and natural gas; related services activities12Extraction of uranium and thorium minerals13Extraction of metallic minerals14Extraction from other mines and quarries15Manufacture of food and beverage products16Manufacture of tobacco products17Manufacture of textile products18Clothing manufacture. Finishing and dying hides19Tanning and finishing leathers; manufacture of leather products and footwear20Lumber industries, except furniture21Paper industry22Activities of editing and printing23Coke manufacture, products of petroleum refining and nuclear combustion24Manufacture of chemical substances and products25Manufacture of rubber and plastic goods26Manufacture of non-metallic mineral products27Manufacture of common metals28Manufacture of metallic products, except machinery29Manufacture of machinery and equipment30Manufacture of office machinery31Manufacture of electrical machinery and products32Manufacture of radio, TV and communications equipment and appliances33Manufacture of medical and precision instruments and watches (clocks)34Manufacture of vehicles, automobiles, tractor-trailers and semi-trucks35Manufacture of other types of transportation equipment36Manufacture or furniture and other industries not listed elsewhere40Generation and distribution of electrical energy41Collection, purification and distribution of water42Manufacture of gas; distribution of gas via pipelines45Construction50Sale, maintenance and repair of vehicles and motorcycles; retail sales of automobile fuels51Wholesale and retail and commission sales, except vehicles, automobiles and motorcycles52Repair of personal items ad household goods53Undocumented55Hotels, camps, and other types of housing accommodations56Restaurants, bars, and cantinas60Transportation via land and pipelines61Transportation via aqueducts62Air transportation63Activities that support transportation activities64Mail and telecommunications65Banking activities66Insurance and pension plans67Support activities for financial intermediation70Real estate activities71Rental of machinery and equipment and personal items and household goods72Informatics and related activities73Research and development74Other business activities75Pubic administration and defense; social security plans with obligatory affiliation80Education85Social services and health services90Removal of waste and sewage91Activities of associations not included elsewhere92Recreational, cultural, and sports activities93Other service activities95Private homes with domestic service96No response97Extraterritorial organizations and organisms98Unknown99NIU (not in universe)Work: Industry Variables -- PERSONOccupation<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A424" a="all">23. What do you do in this job? ____<br /><div class="i1">For example: Administrative: payroll; Chauffeur: drive collective buses; Machine sewing: sew leather shoes with an electric sewing machine; Doorman: clean and take care of school; Pastry chef: makes cakes and pastries to sell.</div><br /></svar><svar v="AR91A416" a="all"><span class="em">15. What was the highest year or grade that the person passed at this level?</span><br /></svar></p>
<p><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar>Argentina 1991: Persons age 14+ who had a job last week [discrepancies: none]This variable indicates the occupation of the respondent.
The sample lacks data for this and several other variables for roughly half the cases. Users should apply the alternative weight variable AR91A434 when using one of these variables.000Non-specified directive occupations011Government directive officials021Directors of public business and establishments that produce goods and/or services, in a professional specialization031Directors of large private business that produce goods and/or services, in a professional specialization041Directors of mid-sized private business that produce goods and/or services, in a professional specialization051Directors of social, communal, political, labor union and religious institutions, with a professional specialization100Occupations of administrative, judicial-legal, planning and informatics processing, not specified111Independent providers of services for administrative, judicial-legal, planning and informatics processing, in a professional specialization112Independent providers of services for administrative, judicial-legal, planning and informatics processing, in a technical specialization121Bosses in administrative, judicial-legal, planning and informatics processing, in a professional specialization122Bosses in administrative, judicial-legal, planning and informatics processing, in a technical specialization123Bosses in administrative, judicial-legal, planning and informatics processing, in an operative specialization129Bosses in administrative, judicial-legal, planning and informatics processing, in an unknown specialization131Workers in administrative, judicial-legal, planning and informatics processing, in a professional specialization132Workers in administrative, judicial-legal, planning and informatics processing, in a technical specialization133Workers in administrative, judicial-legal, planning and informatics processing, in an operative specialization134Workers in administrative, judicial-legal, planning and informatics processing, non-specialized139Workers in administrative, judicial-legal, planning and informatics processing, in an unknown specialization141Informatics workers, professional specialization142Informatics workers, technical specialization143Informatics workers, operative specialization149Informatics workers, unknown specialization200Undocumented211Independent providers of services for budgeting, accounting and financial processes, in a professional specialization212Independent providers of services for budgeting, accounting and financial processes, in a technical specialization221Bosses of budgeting, accounting and financial processes, in a professional specialization222Bosses of budgeting, accounting and financial processes, in a technical specialization223Bosses of budgeting, accounting and financial processes, in an operative specialization229Undocumented231Workers in budgets, accounting, and finance with professional qualifications232Workers in budgets, accounting, and finance with technical qualifications233Workers in budgets, accounting, and finance with operational qualifications234Workers in budgets, accounting, and finance with no qualifications239Undocumented300Occupations of commercialization, transportation, storage, and telecommunications, not specified302Operators of equipment and systems for telecommunication, in a technical specialization303Operators of equipment and systems for telecommunication, in an operative specialization304Operators of equipment and systems for telecommunication, non-specialized309Operators of equipment and systems for telecommunication, not classified elsewhere311Independent businessmen, in a professional specialization312Independent businessmen, in a technical specialization321Bosses in the commercialization of goods and services, in a professional specialization322Bosses in the commercialization of goods and services, in a technical specialization323Bosses in the commercialization of goods and services, in an operative specialization329Bosses in the commercialization of goods and services, in an unknown specialization331Sales and marketing workers with professional qualifications332Sales and marketing workers with technical qualifications333Sales and marketing workers with operational qualifications334Sales and marketing workers with no qualifications339Sales and workers in the commercialization of goods and services, in a professional specialization344Traveling salesmen, non-specialized351Independent providers of transportation, storage, and telecommunications services, in a professional specialization352Independent providers of transportation, storage, and telecommunications services, in a technical specialization361Bosses of transportation, storage, and telecommunications services, in a professional specialization362Bosses of transportation, storage, and telecommunications services, in a technical specialization363Bosses of transportation, storage, and telecommunications services, in an operative specialization369Bosses of transportation, storage, and telecommunications services, in an unknown specialization371Workers in transportation and storage, in a professional specialization372Workers in transportation and storage, in a technical specialization373Workers in transportation and storage, in an operative specialization374Workers in transportation and storage, non-specialized379Workers in transportation and storage, in an unknown specialization381Drivers and operators of machinery for transportation and storage, in a professional specialization382Drivers and operators of machinery for transportation and storage, in a technical specialization383Drivers and operators of machinery for transportation and storage, in an operative specialization384Drivers and operators of machinery for transportation and storage, non-specialized389Drivers and operators of machinery for transportation and storage, in an unknown specialization391Workers in telecommunications, in a professional specialization392Workers in telecommunications, in a technical specialization393Workers in telecommunications, in an operative specialization394Workers in telecommunications, non-specialized399Workers in telecommunications, in an unknown specialization400Basic social service occupations, unspecified401Undocumented402Undocumented403Undocumented404Armed Forces, Civil police and police, non-specialized409Armed Forces, Civil police and police, in an unknown specialization411Independent providers of basic social services, in a professional specialization412Independent providers of basic social services, in a technical specialization421Bosses of basic social services, in a professional specialization422Bosses of basic social services, in a technical specialization423Bosses of basic social services, in an operative specialization429Bosses of basic social services, in an unknown specialization431Workers in health, sanitation and ecology, with professional qualifications432Workers in health, sanitation and ecology, with technical qualifications433Workers in health, sanitation and ecology, with operational qualifications434Workers in health, sanitation and ecology, with no qualifications439Undocumented441Education workers with professional qualifications442Education workers with technical qualifications443Education workers with operational qualifications449Workers in education, in an unknown qualifications451Workers in scientific research, advising and consulting, in a professional specialization452Workers in scientific research, advising and consulting, in a technical specialization453Workers in scientific research, advising and consulting, in an operative specialization459Workers in scientific research, advising and consulting, in an unknown specialization461Communications workers, in a professional specialization462Communications workers, in a technical specialization463Communications workers, in a operational specialization469Undocumented471Workers in social service, community, political, and religious services with professional qualifications472Workers in social service, community, political, and religious services with operational qualifications473Workers in social service, community, political, and religious services with technical qualifications479Undocumented481Monitoring and prevention workers, professionals482Monitoring and prevention workers, technical qualifications483Monitoring and prevention workers, operational qualifications484Monitoring and prevention workers, no qualifications489Undocumented492Operators of equipment and systems of basic social services, technical qualifications493Operators of equipment and systems of basic social services, operational qualifications500Occupations of various services, not specified501Undocumented502Undocumented503Undocumented504Undocumented509Operators of machinery and equipment for various services, in an unknown specialization511Independent providers of various services, in a professional specialization512Independent providers of various services, in a technical specialization521Bosses of various services, in a professional specialization522Bosses of various services, in a technical specialization523Bosses of various services, in an operative specialization529Bosses of various services, in an unknown specialization531Workers in sports, body building, art and recreation, in a professional specialization532Workers in sports, body building, art and recreation, in a technical specialization533Workers in sports, body building, art and recreation, in an operative specialization534Workers in sports, body building, art and recreation, non-specialized539Workers in sports, body building, art and recreation, in an unknown specialization542Workers in food services, in a technical specialization543Workers in food services, in an operative specialization544Workers in food services, in non-specialized549Workers in food services, in an unknown specialization551Workers in lodging and tourism services, in a professional specialization552Workers in lodging and tourism services, in a technical specialization553Workers in lodging and tourism services, in an operative specialization554Workers in lodging and tourism services, with no specialization559Workers in lodging and tourism services, in an unknown specialization563Undocumented564Workers in domestic services, non-specialized573Workers in non-domestic cleaning services, in an operative specialization574Workers in non-domestic cleaning services, non-specialized579Workers in non-domestic cleaning services, in an unknown specialization581Workers in the care for and attention to persons, in a professional specialization582Workers in the care for and attention to persons, in a technical specialization583Workers in the care for and attention to persons, in an operative specialization584Workers in the care for and attention to persons, non-specialized589Workers in the care for and attention to persons, in an unknown specialization592Workers in other services, in a technical specialization593Workers in other services, in an operative specialization594Workers in other services, non-specialized599Workers in other services, in an unknown specialization600Occupation in agricultural and primary production, not specified611Independent producers in agriculture, cattle ranching, and forestry, in a professional specialization612Independent producers in agriculture, cattle ranching, and forestry, in a technical specialization621Bosses in agriculture, cattle ranching, and forestry production, in a professional specialization622Bosses in agriculture, cattle ranching, and forestry production, in a technical specialization623Bosses in agriculture, cattle ranching, and forestry production, in an operative specialization629Undocumented631Workers in agriculture, cattle ranching, and forestry production, in a professional specialization632Workers in agriculture, cattle ranching, and forestry production, in a technical specialization633Workers in agriculture, cattle ranching, and forestry production, in an operative specialization634Workers in agriculture, cattle ranching, and forestry production, non-specialized639Workers in agriculture, cattle ranching, and forestry production, in an unknown specialization642Operators of machinery and equipment in agriculture, cattle ranching, and forestry production, in a technical specialization643Operators of machinery and equipment in agriculture, cattle ranching, and forestry production, in an operative specialization644Operators of machinery and equipment in agriculture, cattle ranching, and forestry production, non-specialized649Operators of machinery and equipment in agriculture, cattle ranching, and forestry production, in an unknown specialization652Independent producers in fishing and hunting, in a technical specialization662Bosses in fishing and hunting, in a technical specialization663Undocumented669Bosses in fishing and hunting, in an unknown specialization672Workers in fishing and hunting, in a technical specialization673Workers in fishing and hunting, in an operative specialization674Workers in fishing and hunting, non-specialized679Workers in fishing and hunting, in an unknown specialization682Undocumented683Operators of machinery and equipment in fishing and hunting, in an operative specialization684Operators of machinery and equipment in fishing and hunting, non-specialized700Undocumented711Independent producers in extractive, energy, construction and infrastructure production, in a professional specialization712Independent producers in extractive, energy, construction and infrastructure production, in a technical specialization721Bosses in extractive, energy, construction and infrastructure production, in a professional specialization722Bosses in extractive, energy, construction and infrastructure production, in a technical specialization723Bosses in extractive, energy, construction and infrastructure production, in an operative specialization729Bosses in extractive, energy, construction and infrastructure production, in an unknown specialization731Workers in extractive production, in a professional specialization732Workers in extractive production, in a technical specialization733Workers in extractive production, in an operative specialization734Workers in extractive production, non-specialized739Workers in extractive production, in an unknown specialization741Undocumented742Operators of machinery and equipment in extractive production, in a technical specialization743Operators of machinery and equipment in extractive production, in an operative specialization744Operators of machinery and equipment in extractive production, non-specialized749Operators of machinery and equipment in extractive production, in an unknown specialization751Workers in the production of energy, water, and gas, in a professional specialization752Workers in the production of energy, water, and gas, in a technical specialization753Workers in the production of energy, water, and gas, in an operative specialization754Workers in the production of energy, water, and gas, non-specialized759Workers in the production of energy, water, and gas, in an unknown specialization762Operators of machinery and equipment in the production of energy, water, and gas, in a technical specialization763Operators of machinery and equipment in the production of energy, water, and gas, in an operative specialization764Operators of machinery and equipment in the production of energy, water, and gas, non-specialized769Operators of machinery and equipment in the production of energy, water, and gas, in an unknown specialization771Workers in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, in a professional specialization772Workers in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, in a technical specialization773Workers in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, in an operative specialization774Workers in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, non-specialized779Workers in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, in an unknown specialization782Operators of machinery and equipment in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, in a technical specialization783Operators of machinery and equipment in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, in an operative specialization784Operators of machinery and equipment in building construction, infrastructure work, and distribution of energy, potable water, gas and telephone service, with no specialization789Undocumented800Occupations of industrial production and repair of consumer goods, not specified811Independent producers in artisan and industrial production, in a professional specialization812Independent producers in artisan and industrial production, in a technical specialization821Bosses in industrial production, in a professional specialization822Bosses in industrial production, in a technical specialization823Bosses in industrial production, with an operational qualification829Bosses in industrial production, in an unknown specialization831Workers in artisan and industrial production, in a professional specialization832Workers in artisan and industrial production, in a technical specialization833Workers in artisan and industrial production, in an operative specialization834Workers in artisan and industrial production, non-specialized839Workers in artisan and industrial production, in an unknown specialization842Operators of machinery and equipment in artisan and industrial production, with a technical qualification843Operators of machinery and equipment in artisan and industrial production, in an operative specialization844Operators of machinery and equipment in industrial production, non-specialized849Operators of machinery and equipment in industrial production, in an unknown specialization851Undocumented852Independent repairmen of consumer goods, in a technical specialization862Bosses in repair of consumer goods, in a technical specialization863Bosses in repair of consumer goods, in an operative specialization871Undocumented872Workers in repair of consumer goods, in a technical specialization873Workers in repair of consumer goods, in an operative specialization874Workers in repair of consumer goods, non-specialized879Workers in repair of consumer goods, in an unknown specialization900Undocumented911Independent producers in auxiliary processes for the production of goods, in a professional specialization912Independent producers in auxiliary processes for the production of goods, in a technical specialization921Bosses in auxiliary processes for the production of goods, in a professional specialization922Bosses in auxiliary processes for the production of goods, in a technical specialization923Bosses in auxiliary processes for the production of goods, in an operative specialization931Workers in installation and maintenance of machinery and equipment for the production of goods, in a professional specialization932Workers in installation and maintenance of machinery and equipment for the production of goods, in a technical specialization933Workers in installation and maintenance of machinery and equipment for the production of goods, in an operative specialization934Workers in installation and maintenance of machinery and equipment for the production of goods, non-specialized939Workers in installation and maintenance of machinery and equipment for the production of goods, in an unknown specialization941Workers in technological development, in a professional specialization942Workers in technological development, in a technical specialization943Workers in technological development, in an operative specialization949Workers in technological development, in an unknown specialization952Workers in supply and storage of production units, in a technical specialization953Workers in supply and storage of production units, in an operative specialization954Workers in supply and storage of production units, non-specialized959Workers in supply and storage of production units, in an unknown specialization961Independent providers in auxiliary processes for service providing, in a professional specialization962Independent providers in auxiliary processes for service providing, in a technical specialization971Bosses in auxiliary processes for service providing, in a professional specialization972Bosses in auxiliary processes for service providing, in a technical specialization973Bosses in auxiliary processes for service providing, in an operative specialization979Bosses in auxiliary processes for service providing, in an unknown specialization981Workers in the installation and maintenance of machinery and equipment for service providing, in a professional specialization982Workers in the installation and maintenance of machinery and equipment for service providing, in a technical specialization983Workers in the installation and maintenance of machinery and equipment for service providing, in an operative specialization984Workers in the installation and maintenance of machinery and equipment for service providing, non-specialized989Workers in the installation and maintenance of machinery and equipment for service providing, in an unknown specialization991Unknown occupation, in a professional specialization992Unknown occupation, in a technical specialization993Unknown occupation, in an operative specialization994Unknown occupation, non-specialized995Occupations with insufficient information996Not necessary to code occupation997No response998Unknown999NIU (not in universe)Work: Occupation Variables -- PERSONDeducted retirement<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A426" a="all">24. In this work, do you contribute to a retirement fund?<br /><div class="i1">[] Yes<br />[] No<br />[] Unanswered</div><br /></svar>Argentina 1991: Persons age 14+ who had a job last week [discrepancies: none]This variable indicates deducted retirement availability.0NIU (not in universe)1Yes, deducted retirement2No, deducted retirement9UnknownIncome Variables -- PERSONMarital status<svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426 AR91A427">For all women and men fourteen years of age or older.<br />[Questions 17-25 were asked of persons age 14 years +.]<br /></svar></p>
<p><svar v="AR91A419 AR91A421 AR91A422 AR91A423 AR91A424 AR91A426">[Questions 21-24 were asked of persons age 14+ who had a job last week (did formal or informal work or did not work due to sickness, vacation, etc.), per questions 17-19.]<br /></svar></p>
<p><svar v="AR91A427" a="all">25. [Marital status]<br /><div class="i1">Currently, you are:<br /><br />[] In a consensual union<br />[] Married in a legal union<br />[] Separated from a union or marriage<br />[] Divorced from a marriage<br />[] Widowed from a consensual union or marriage<br />[] Single, never formed a union or married<br />[] Unanswered</div><br /></svar><svar v="AR91A419 AR91A420 AR91A421 AR91A422 AR91A423 AR91A424 AR91A427">The next questions (from 17 to 25) are asked to all women and men 14 years old or older<br /></svar></p>
<p><svar v="AR91A427" a="all"><span class="em">25. Currently, you are?</span><br /><br /><div class="i1">Here we mark the de facto conjugal situations at the moment of the Census, not the civil state.<br />If an enumerated person is male, with this question we end the interview.</div><br /></svar>Argentina 1991: Persons age 14+ [discrepancies: none]This variable indicates the person's marital status.0NIU (not in universe)1United2Married3Separated4Divorced5Widowed6Single 9UnknownDemographic Variables -- PERSONChildren born alive<svar v="AR91A428 AR91A429 AR91A430">For women 14 years old and older (do not forget the single women).<br />[Questions 26-28 were asked of women 14 years of age and older.]<br /></svar></p>
<p><svar v="AR91A428" a="all">26. How many children have you had born alive?<br /><div class="i1">[] None [end of questions for this person]<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10<br />[] 11<br />[] 12<br />[] 13<br />[] 14<br />[] 15<br />[] 16 or more<br />[] Unanswered [end of questions for this person]</div><br /></svar><svar v="AR91A428 AR91A429 AR91A430">The last questions of the Document are about fertility. As the sign indicates, we ask them to all women 14 years old or older (do not forget single women)<br /></svar></p>
<p><svar v="AR91A428" a="all"><span class="em">26. How many have children you had born alive?</span><br /><br /><div class="i1">Here we register all children born alive, whether they are currently alive or not. And also those who had been given up for adoption.</div><br /></svar>Argentina 1991: Females age 14+ [discrepancies: none]This variable indicates the number of children born alive.00None011022033044055066077088099101011111212131314141515161698Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren currently living<svar v="AR91A428 AR91A429 AR91A430">For women 14 years old and older (do not forget the single women).<br />[Questions 26-28 were asked of women 14 years of age and older.]<br /></svar></p>
<p><svar v="AR91A429" a="all">27. How many are currently alive?<br /><div class="i1">[Question 27 was asked of women age 14+ who ever had children born alive, per question 26.]<br /><br />[] None<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10<br />[] 11<br />[] 12<br />[] 13<br />[] 14<br />[] 15<br />[] 16 or more<br />[] Unanswered [end of questions for this person]</div><br /></svar><svar v="AR91A428 AR91A429 AR91A430">The last questions of the Document are about fertility. As the sign indicates, we ask them to all women 14 years old or older (do not forget single women)<br /></svar></p>
<p><svar v="AR91A429" a="all"><span class="em">27. How many are currently alive?</span><br /><br /><div class="i1">We should include all children who are born alive of all unions, legal or de facto, and also of those had outside of union if she had them, and they live with the woman of not at the moment of the Census.</div><br /></svar>Argentina 1991: Females age 14+ who had children born alive [discrepancies: none]This variable indicates the number of children currently living.00None011022033044055066077088099101011111212131314141515161698Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren born alive last year<svar v="AR91A428 AR91A429 AR91A430">For women 14 years old and older (do not forget the single women).<br />[Questions 26-28 were asked of women 14 years of age and older.]<br /></svar></p>
<p><svar v="AR91A430" a="all">28. Have you had any children born alive in the past twelve months?<br /><div class="i1">Only for women ages 14 to 49.<br />[Question 28 was asked of women of age 14-49 who ever had children born alive, per question 26.]<br /><br />[] Yes, 1<br />[] Yes, 2 or more<br />[] No<br />[] Unanswered</div><br /></svar><svar v="AR91A428 AR91A429 AR91A430">The last questions of the Document are about fertility. As the sign indicates, we ask them to all women 14 years old or older (do not forget single women)<br /></svar></p>
<p><svar v="AR91A430" a="all"><span class="em">28. Have you had any children born alive in the past twelve months?</span><br /><br /><div class="i1">We ask this question only to women of 14 to 49 years of age who have had children born alive.</div><br /></svar>Argentina 1991: Females age 14 to 49 who had children born alive [discrepancies: none]This variable indicates the number of children born alive last year.0NIU (not in universe)1122+3No children9UnknownFertility and Mortality Variables -- PERSONContribution to retirement fundArgentina 1991: All personsThis variable indicates the type of health coverage.1Social plan 2Medical plan3Social plan and medical plan4Without social plan or medical plan5With social plan "I" medical plan6With medical plan "I" social plan7Without social plan "I" medical plan8Without medical plan "I" social plan9UnknownOther Person Variables -- PERSONPerson weightArgentina 1991: All personsThis variable indicates weight.01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626282830303232343436365050606027272929313138384040424244444848707080809090Technical Person Variables -- PERSONPerson weight for occ, ind, migrationArgentina 1991: All personsA number of important variables were never fully coded in the microdata. Approximately half of the persons in the sample lack information for any of the variables listed below. AR1991A_0434 is an alternative weight variable that corrects for the missing data. This variable -- not PERWT (person weight) -- should be applied to any analyses that use one of the affected variables.
When pooling 1991 Argentina with other samples, users will need to recode PERWT to equal AR1991A_0434.
The affected variables requiring the special weight are:
OCC -- OccupationOCCISCO -- Occupation, ISCO recodeIND -- IndustryINDGEN -- Industry, general recodeBPLAR -- Province of birthBPLCOUNTRY -- Country of birthNATIVITY -- Nativity statusMIGRATE5 -- Migration status, 5 yearsAR1991A_0405 (AR1991A_RESH) -- Place of current residenceAR1991A_0407 (AR1991A_RESPRH) -- Residence 5 years agoAR1991A_0409 (AR1991A_BORNH) -- Place of birthAR1991A_0410 (AR1991A_BORN) -- Province or country of birthAR1991A_0423 (AR1991A_IND) -- IndustryAR1991A_0424 (AR1991A_OCC) -- OccupationNote: Six provinces actually have full information for all variables, and analyses confined to those provinces require no special treatment: 2 Capital Federal, 4 Buenos Aires, 58 Del Nequen, 62 Rio Negro, 78 Santa Cruz, and 94 Tierra del Fuego.000000110022003300440055006600770088009901010011110121201313014140151501616017170181801919020200212102222023230242402525026260272702828029290303003131032320333303434035350363603737038380393904040041410424204343044440454504646047470484804949050500515105252059590606006262068680707007676078780797908080081810848409090100100110110120120130130140140150150160160170170180180190190200200210210230230240240260260290290Technical Person Variables -- PERSON