Third National Population Census 1982DDI_CHN_1982_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.
Third National Population Census - IPUMS Subset 1982PHC cn1982a (IPUMS Harmonized Subset)CHN_1982_PHC_v01_M_v7.6_A_IPUMSNational Bureau of StatisticsIPUMS(c) Copyright 1982, National Bureau of Statistics and Minnesota Population CenterNational Bureau of StatisticsPopulation 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 -- PERSONTechnical Household Variables -- HOUSEHOLDEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONWork Variables -- PERSONEthnicity and Language Variables -- PERSONGeography: A-E Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDTechnical Person Variables -- PERSONOther Household Variables -- HOUSEHOLDOther Person Variables -- PERSONWork: Industry Variables -- PERSONWork: Occupation Variables -- PERSONAt 0:00 on July 1, 1982Census registration from July 1 to July 10, 1982; Census review from July 11 to July 15, 1982; Census quality evaluation survey from July 16 to July 31, 1982.China (Peoples Republic of China)City/prefecturePersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: No
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: Not applicable
- Households: Domestic household: A group of individuals who are either relatives or non-relatives, live in one residential unit and are registerered as one household. Collective household: A group of individuals who live in the same dormitory in a college (or school) or in the same living quarters for staff and workers in a factory or other organization.
- Group quarters: Collective dorms of work units (including their branch units) such as organs, groups, schools, factories, mines, construction sites, farms, companies, shops, hospitals, nurseries, old people's homes, monasteries, churches, prisons, places for reform through labor and reeducation.All individuals who have Chinese nationality and reside in China, personnel of embassies, consulates and other missions in foreign countries and staff, experts, students and trainees abroad. Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: China 1982
MICRODATA SOURCE: National Bureau of Statistics
SAMPLE SIZE (person records): 10039191.
SAMPLE DESIGN: Systematic sample
Face-to-face [f2f]A single questionnaire for regular and collective households.de jure, CENSUS DAY: At 0:00 on July 1, 1982Self-weighting. Expansion factor = 100.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.National Bureau of StatisticsSteven 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: China (Peoples Republic of China), National Bureau of Statistics. Third National Population Census
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 cn1982a, 2025CHN1982_PHC-H-H.datHousehold records2,428,658asciiMinnesota Population CenterVersion 7.5, IPUMS sampleCHN1982_PHC-P-H.datPerson records10039191asciiMinnesota 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 -- HOUSEHOLDDonated householdHHDONATE identifies households that were donated during the IPUMS data editing process.0Not donated1DonatedTechnical Household Variables -- HOUSEHOLDStrata identifierThis variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.STRATA is a 12-digit numeric variable.Technical Household Variables -- HOUSEHOLDGroup quarters (collective dwelling) statusGQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.
Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.00Vacant10Households20Group quarters (collective), n.s.21Institutions22Other group quarters291-person unit created by splitting large household99Unknown/group quarters not identifiedGroup Quarters Variables -- HOUSEHOLDNumber of unrelated personsUNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE.00112233445566778899+Group Quarters Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLD1st subnational geographic level, world [consistent boundaries over time]GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV1 is a 6-digit numeric variable.
GEOLEV1 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR.Geography: Global Variables -- 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 -- HOUSEHOLDChina, Province 1982 - 2000 [Level 1; consistent boundaries, GIS]GEO1_CN identifies the household's province within China in all sample years. Provinces are the first level administrative units of the country. GEO1_CN 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_CN can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for China 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.156011Beijing156012Tianjin156013Hebei156014Shanxi156015Inner Mongolia156021Liaoning156022Jilin156023Heilongjiang156031Shanghai156032Jiangsu156033Zhejiang156034Anhui156035Fujian156036Jiangxi156037Shandong156041Henan156042Hubei156043Hunan156044Guangdong, Hainan156045Guangxi156051Sichuan, Chongqing156052Guizhou156053Yunnan156054Tibet156061Shaanxi156062Gansu156063Qinghai156064Ningxia156065XinjiangGeography: A-E Variables -- HOUSEHOLDChina, Province 1982 [Level 1, GIS]GEO1_CN1982 identifies the household's province within China in 1982. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CN1982 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for China 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.011Beijing012Tianjin013Hebei014Shanxi015Inner Mongolia021Liaoning022Jilin023Heilongjiang031Shanghai032Jiangsu033Zhejiang034Anhui035Fujian036Jiangxi037Shandong041Henan042Hubei043Hunan044Guangdong045Guangxi051Sichuan052Guizhou053Yunnan054Tibet061Shaanxi062Gansu063Qinghai064Ningxia065XinjiangGeography: A-E Variables -- HOUSEHOLDChina, Prefectures or cities 1982 - 2000 [Level 2; consistent boundaries, GIS]GEO2_CN identifies the household's prefecture or city within China in all sample years. Prefectures or cities are the second level administrative units of the country, after provinces. GEO2_CN 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_CN can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for China 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.156011001Beijing municipality156012001Tianjin municipality156013001Shijiazhuang city156013002Tangshan city, Qinhuangdao city, Chengde city156013003Handan city156013004Xingtai city156013005Baoding city156013006Zhangjiakou city156013007Cangzhou city156013008Langfang city156013009Hengshui city156014001Taiyuan city156014002Datong city, Shuozhou city156014003Yangquan city, Jinzhong city156014004Changzhi city, Jincheng city156014005Yuncheng city156014006Xinzhou city156014007Linfen city156014008Luliang prefecture156015001Hohhot city, Baotou city, Ulaan Chab league156015002Wuhai city156015003Chifeng city156015004Tongliao city156015005Hulunbuir league156015006Xing'an league156015007Xilin Gol league156015008Yikezhao league156015009Bayannur league156015010Alxa prefecture156021001Shenyang city, Tieling city156021002Dalian city156021003Anshan city, Dandong city156021004Fushun city156021005Benxi city156021006Jinzhou city, Chaoyang city, Huludao city156021007Yingkou city, Panjin city156021008Fuxin city156021009Liaoyang city156022001Changchun city156022002Jilin city156022003Siping city, Liaoyuan city156022004Tonghua city, Baishan city156022005Baicheng city, Songyuan city156022006Yanbian Korean autonomous prefecture156023001Hegang city, Jiamusi city, Qitaihe city, Shuangyashan city, Harbin city156023002Qiqihar city, Suihua city, Daqing city156023003Jixi city, Mudanjiang city156023004Yichun city156023005Heihe city156023006Daxing'anling prefecture156031001Shanghai municipality156032001Nanjing city, Wuxi city, Changzhou city, Suzhou city, Zhenjiang city156032002Xuzhou city, Lianyungang city, Huaiyin city, Suqian city156032003Nantong city156032004Yancheng city156032005Yangzhou city, Taizhou city156033001Hangzhou city156033002Ningbo city156033003Wenzhou city156033004Jiaxing city, Huzhou city156033005Shaoxing city156033006Jinhua city, Quzhou city156033007Zhoushan city156033008Taizhou city156033009Lishui city156034001Hefei city, Liu'an city, Chaohu city156034002Wuhu city, Ma'anshan city, Anqing city, Huangshan city, Xuancheng city, Guichi city156034003Bengbu city, Suzhou city156034004Huainan city156034005Huaibei city156034006Tongling city156034007Chuzhou city156034008Fuyang city, Bozhou city156035001Fuzhou city, Putian city, Ningde city156035002Xiamen city156035003Sanming city156035004Quanzhou city156035005Zhangzhou city156035006Nanping city156035007Longyan city156036001Nanchang city, Xinyu city, Ganzhou city, Yichun city, Fuzhou city156036002Jingdezhen city, Yingtan city, Shangrao city156036003Pingxiang city, Ji'an city156036004Jiujiang city156037001Jinan city, Tai'an prefecture, Dezhou city, Laiwu city156037002Qingdao city, Zibo city, Dongying city, Yantai city, Weifang city, Weihai city, Rizhao city, Binzhou city, Linyi city156037003Zaozhuang city, Jining city, Heze city156037004Liaocheng city156041001Zhengzhou city, Kaifeng city156041002Luoyang city, Pingdingshan city, Xuchang city, Luohe city, Sanmenxia city156041003Anyang city, Hebi city, Xinxiang city, Jiaozuo city, Puyang city156041004Nanyang city156041005Shangqiu city156041006Xinyang city156041007Zhoukou city156041008Zhumadian city156042001Wuhan city, Xiangfan city, Ezhou city, Huanggang city, Xiaogan city, Suizhou city156042002Huangshi city, Xianning city156042003Shiyan city, Jingzhou city, Jingmen city, Hubei Province direct administrative area156042004Yichang city156042006Exi Tujia-Miao autonomous prefecture156043001Changsha city, Zhuzhou city, Yiyang city156043002Xiangtan city156043003Hengyang city, Shaoyang city, Loudi city, Chenzhou city, Yongzhou city156043004Yueyang city156043005Changde city, Zhangjiajie city, Xiangxi Tujia-Miao autonomous prefecture156043006Huaihua city156044001Guangzhou city, Shaoguan city, Huizhou city, Heyuan city, Qingyuan city, Dongguan city156044002Shenzhen city156044003Zhuhai city, Zhongshan city156044004Shanwei city, Jieyang city, Shantou city, Chaozhou city156044005Foshan city, Jiangmen city156044006Zhanjiang city, Maoming city, Yangjiang city156044007Zhaoqing city, Yunfu city156044008Meizhou city156044009Haikou city, Sanya city, Hainan Province direct administrative area156045001Nanning prefecture, Nanning city156045002Liuzhou city, Liuzhou prefecture156045003Guilin city156045004Wuzhou city, Hezhou prefecture156045005Beihai city, Qinzhou city, Fangchenggang city156045006Yulin city, Guigang city156045007Baise prefecture156045008Hechi prefecture156051001Chongqing municipality156051002Chengdu city, Deyang city, Mianyang city, Guangyuan city, Suining city, Nanchong city, Dazhou city, Ngawa Tibetan-Qiang autonomous prefecture, Bazhong city, Guang'an city156051003Zigong city, Luzhou city, Yibin city156051004Panzhihua city156051005Ziyang city, Neijiang city156051006Leshan city, Meishan city156051007Ya'an city156051008Garze Tibetan autonomous prefecture156051009Liangshan Yi prefecture156052001Guiyang city, Anshun city156052002Liupanshui city156052003Zunyi city156052004Tongren prefecture156052005Qianxinan Buyei-Miao autonomous prefecture156052006Bijie prefecture156052007Qiandongnan Miao-Dong autonomous prefecture156052008Qiannan Buyei-Miao autonomous prefecture156053001Kunming city, Qujing city, Chuxiong Yi autonomous autonomous prefecture156053002Yuxi city156053003Zhaotong prefecture156053004Honghe Hani-Yi autonomous prefecture156053005Wenshan Zhuang-Miao autonomous prefecture156053006Simao prefecture156053007Xishuangpanna Dai autonomous prefecture156053008Dali Bai autonomous prefecture156053009Baoshan prefecture156053010Dehong Dai-Jingpo autonomous prefecture156053011Lijiang prefecture156053012Nujiang Lisu autonomous prefecture156053013Diqing Tibetan autonomous prefecture156053014Lincang prefecture156054001Lhasa city, Chamdo prefecture, Shannan prefecture, Nyingchi prefecture156054002Shigatse prefecture156054003Nagchu prefecture156054004Ngari prefecture156061001Xi'an city, Tongchuan city, Baoji city, Xianyang city, Weinan city, Yan'an city156061002Hanzhong city156061003Yulin city156061004Ankang city156061005Shangluo prefecture156062001Lanzhou city156062002Jiayuguan city156062003Jinchang city156062004Baiyin city, Tianshui city, Wuwei prefecture, Dingxi prefecture, Wudu prefecture156062005Jiuquan prefecture156062006Zhangye prefecture156062007Pingliang prefecture156062008Qingyang prefecture156062009Linxia Hui prefecture156062010Gannan Tibetan autonomous prefecture156063001Haidong prefecture, Xining city156063002Haibei Tibetan autonomous prefecture156063003Huangnan Tibetan autonomous prefecture156063004Hainan Tibetan autonomous prefecture156063005Golog Tibetan autonomous prefecture156063006Yushu Tibetan autonomous prefecture, Haixi Mongol-Tibetan autonomous prefecture156064001Yinchuan city, Wuzhong city, Guyuan prefecture156064002Shizuishan city156065001Urumuqi city156065002Karamay city156065003Turfan prefecture156065004Hami prefecture156065005Changji Hui prefecture156065006Bortala Mongol autonomous prefecture156065007Bayin'gholin Mongol autonomous prefecture156065008Aksu prefecture156065009Kizilsu Kirghiz autonomous prefecture156065010Kashgar prefecture156065011Khotan prefecture156065012Yili Kazak autonomous prefecture, Yili prefecture156065013Tacheng prefecture156065014Altay prefecture156065015Shihezi city156099001Disputed islandsGeography: A-E Variables -- HOUSEHOLDChina, Prefectures or cities 1982 [Level 2, GIS]GEO2_CN1982 identifies the household's prefecture or city within China in 1982. Prefectures or cities are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_CN1982 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for China 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.011000Beijing municipality012000Tianjin municipality013001Shijiazhuang city013002Tangshan city013021Handan prefecture013022Xingtai prefecture013023Shijiazhuang prefecture013024Baoding prefecture013025Zhangjiakou prefecture013026Chengde prefecture013027Tangshan prefecture013028Langfang prefecture013029Cangzhou prefecture013030Hengshui prefecture014001Taiyuan city014002Datong city014003Yangchuan city014004Changzhi city014021Yanbei prefecture014022Xinxian prefecture014023Luliang prefecture014024Jinzhong prefecture014025Jindongnan prefecture014026Linfen prefecture014027Yuncheng prefecture015001Hohhot city015002Baotou city015003Wuhai city015021Hulunbuir league015022Xing'an league015023Zhelimu league015024Zhaowuda League015025Xilin Gol league015026Ulaan Chab league015027Yikezhao league015028Bayannur league015029Alxa league021001Shenyang city021002Dalian city021003Anshan city021004Fushun city021005Benxi city021006Dandong city021007Jinzhou city021008Yingkou city021009Fuxin city021010Liaoyang city021021Tieling prefecture021022Chaoyang prefecture022001Changchun city022002Jilin city022021Siping prefecture022022Tonghua prefecture022023Baicheng prefecture022024Yanbian Korean prefecture023001Harbin city023002Qiqihar city023003Jixi city023004Hegang city023005Shuangyashan city023006Daqing city023007Yichun city023021Songhuajiang prefecture023022Nenjiang prefecture023023Suihua prefecture023024Hejiang prefecture023025Mudanjiang prefecture023026Heihe prefecture023027Daxing'anling prefecture031000Shanghai municipality032001Nanjing city032002Wuxi city032003Xuzhou city032004Changzhou city032005Suzhou city032006Nantong city032007Lianyungang city032021Xuzhou prefecture032022Huaiyin prefecture032023Yancheng prefecture032024Yangzhou prefecture032025Nantong prefecture032026Zhenjiang prefecture032027Suzhou prefecture033001Hangzhou city033002Ningbo city033003Wenzhou city033021Jiaxing prefecture033022Ningbo prefecture033023Shaoxing prefecture033024Jinhua prefecture033025Lishui prefecture033026Taizhou prefecture033027Zhoushan prefecture034001Hefei city034002Wuhu city034003Bengbu city034004Huainan city034005Ma'anshan city034006Huaibei city034007Tongling city034008Anqing city034021Fuyang prefecture034022Suxian prefecture034023Chuxian prefecture034024Liu'an prefecture034025Xuancheng prefecture034026Chaohu prefecture034027Huizhou prefecture034028Anqing prefecture035001Fuzhou city035002Xiamen city035021Jianyang prefecture035022Ningde prefecture035023Putian prefecture035024Jinjiang prefecture035025Longxi prefecture035026Longyan prefecture035027Sanming prefecture036001Nanchang city036002Jingdezhen city036003Pingxiang city036004Jiujiang city036021Ganzhou prefecture036022Yichun prefecture036023Shangrao prefecture036024Ji'an prefecture036025Fuzhou prefecture036026Jiujiang prefecture037001Jinan city037002Qingdao city037003Zibo city037004Zaoshuang city037021Yantai prefecture037022Weifang prefecture037023Huimin prefecture037024Dezhou prefecture037025Liaocheng prefecture037026Tai'an prefecture037027Jining prefecture037028Linyi prefecture037029Heze prefecture041001Zhengzhou city041002Kaifeng city041003Luoyang city041004Pingdingshan city041005Anyang city041006Hebi city041007Xinxiang city041008Jiaozuo city041021Anyang prefecture041022Xinxiang prefecture041023Shangqiu prefecture041024Kaifeng prefecture041025Luoyang prefecture041026Xuchang prefecture041027Zhoukou prefecture041028Zhumadian prefecture041029Nanyang prefecture041030Xinyang prefecture042001Wuhan city042002Huangshi city042003Shiyan city042004Shashi city042005Yichang city042006Xiangfan city042021Huanggang prefecture042022Xiaogan prefecture042023Xianning prefecture042024Jinzhou prefecture042025Xiangyang prefecture042026Yunyang prefecture042027Yichang prefecture042028Enshi prefecture043001Changsha city043002Zhuzhou city043003Shaoyang city043004Xiangtan city043005Hengyang city043021Xiangtan prefecture043022Yueyang prefecture043023Yiyang prefecture043024Changde prefecture043025Lianyuan prefecture043026Shaoyang prefecture043027Hengyang prefecture043028Chenzhou prefecture043029Lingling prefecture043030Huaihua prefecture043031Xiangxi Tujia-Miao autonomous prefecture044001Guangzhou city044002Shaoguan city044003Shenzhen city044004Zhuhai city044021Hainan prefecture044022Hainan Li-Miao autonomous prefecture044023Shantou prefecture044024Meixian prefecture044025Huiyang prefecture044026Shaoguan prefecture044027Foshan prefecture044028Zhaoqing prefecture044029Zhanjiang prefecture045001Nanning city045002Liuzhou city045003Guilin city045004Wuzhou city045021Nanning prefecture045022Liuzhou prefecture045023Guilin prefecture045024Wuzhou prefecture045025Yulin prefecture045026Bose prefecture045027Hechi prefecture045028Qinzhou prefecture051001Chengdu city051002Chongqing city051003Zhingong city051004Dukou city051005Luzhou city051006Deyang city051022Wangxian prefecture051023Fuling prefecture051024Neijiang prefecture051025Yibin prefecture051026Leshan prefecture051028Mianyang prefecture051029Nanchong prefecture051030Daxian prefecture051031Ya'an prefecture051032Aba Tibetan prefecture051033Garze Tibetan prefecture051034Liangshan Yi prefecture052001Guiyang city052002Liupanshui city052021Zunyi prefecture052022Tongren prefecture052023Jinxina Bouyei-Miao autonomous prefecture052024Bijie prefecture052025Anshun prefecture052026Qiangdongnan Miao-Dong autonomous prefecture052027Qiannan Buyei-Miao autonomous prefecture053001Kunming city053002Dongchuan city053021Zhaotong prefecture053022Qujin prefecture053023Chuxiong Yi prefecture053024Yuxi prefecture053025Honghe Hani-Yi prefecture053026Wenshan Zhuang-Maio autonomous prefecture053027Simao prefecture053028Xishuangpanna Dai autonomous prefecture053029Dali Bai prefecture053030Baoshan prefecture053031Dehong Dai-Jingpo autonomous prefecture053032Lijiang prefecture053033Nujiang Lisu autonomous prefecture053034Diqing Tibetan autonomous prefecture053035Lincang prefecture054001Lhasa city054021Qamdo prefecture054022Shannan prefecture054023Xigaze prefecture054024Nagqu prefecture054025Ali prefecture061001Xi'an city061002Tongchuan city061003Baoji city061021Weinan prefecture061022Xianyang prefecture061023Hanzhong prefecture061024Ankang prefecture061025Shangluo prefecture061026Yan'an prefecture061027Yulin prefecture062001Lanzhou city062002Jiayuguan city062003Jinchang city062021Jiuquan prefecture062022Changye prefecture062023Wuwei prefecture062024Dingxi prefecture062025Tianshui prefecture062026Wudu prefecture062027Pingliang prefecture062028Qingyang prefecture062029Linxia Hui prefecture062030Ganann Tibetan prefecture063001Xining city063021Haidong prefecture063022Haibei Tibetan prefecture063023Huangnan Tibetan prefecture063024Special Administrative District prefecture063025Hainan Tibetan prefecture063026Guoluo Tibetan prefecture063027Yushu Tibetan prefecture063028Haixi Mongol-Tibetan autonomous prefecture064001Yinchuan city064002Shizuishan city064021Yinnan prefecture064022Guyuan prefecture065001Urumqi city065002Karamay city065003Shihezi city065021Turfan prefecture065022Hami prefecture065023Changyji Hui autonomous prefecture065024Yili Kazak autonomous prefecture065025Tacheng prefecture065026Altay prefecture065027Bortala Mongol autonomous prefecture065028Bayin'gholin Mongol autonomous prefecture065029Aksu prefecture065030Kezlesu Kirgiz autonomous prefecture065031Kashi prefecture065032Hotan prefectureGeography: A-E Variables -- HOUSEHOLDChina, County 1982 [Level 3]GEO3_ CN1982 identifies the household's county within China in 1982. Counties are the third level administrative units of the country, after prefectures.
The full set of geography variables for China 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.011000101Dongcheng011000102Xicheng011000103Congwen011000104Chaoyang011000105Xuanwu011000106Fengtai011000107Shijingshan011000108Haidian011000109Mentougou011000110Yanshan011000221Changping011000222Shunyi011000223Tongxian011000224Daxing011000225Fangshan011000226Pinggu011000227Huairou011000228Miyun011000229Yanqing012000101Heping012000102Hedong012000103Hexi012000104Nankai012000105Hebei012000106Hongqiao012000107Tanggu012000108Hangu012000109Dagang012000110East Suburbs012000111West Suburbs012000112South Suburbs012000113North Suburbs012000221Ninghe012000222Wuqing012000223Jinghai012000224Baodi012000225Jxian013001001Chang'An013001002Qiaodong013001003Qiaoxi013001004Xinhua013001005Shijiazhuang City Suburbs013001006Jingjin013002001Lunan013002002Lubei013002003Dongkuang013002004Kaiping013002005Xinqu013021001Handan013021021Daming013021022Weixian013021023Quzhou013021024Qiuxian013021025Jize013021026Feixiang013021027Guangping013021028Cheng'An013021029Linchang013021030Cixian013021031Wu'An013021032Shexian013021033Yongnian013021034Handan013021035Guantao013022001Xingtai013022021Xingtai013022022Shahe013022023Lincheng013022024Neiqiu013022025Baixiang013022026Longyao013022027Renxian013022028Nanhe013022029Ningjin013022030Nangong013022031Julu013022032Xinhe013022033Guangzong013022034Pingxiang013022035Weixian013022036Qinghe013022037Linxi013023021Shulu013023022Jinxian013023023Shenze013023024Wuji013023025Gaocheng013023026Zhaoxian013023027Luancheng013023028Zhengding013023029Xinle013023030Gaoyi013023031Yuanshi013023032Zanhuang013023033Jingxing013023034Huolu013023035Pingshan013023036Lingshou013023037Xingtang013024001Baoding013024021Yixian013024022Mancheng013024023Xushui013024024Laiyuan013024025Dingxing013024026Wanxian013024027Tangxian013024028Wangdu013024029Laishui013024030Zhuoxian013024031Qingyuan013024032Gaoyang013024033Anxin013024034Xiongxian013024035Rongcheng013024036Xincheng013024037Quyang013024038Fuping013024039Dingxian013024040Anguo013024041Boye013024042Lixian013025001Zhangjiakou Prefecture013025021Zhangbei013025022Kangbao013025023Guyuan013025024Shangyi013025025Yuxian013025026Yangyuan013025027Huai'An013025028Wanquan013025029Huailai013025030Zhuolu013025031Xuanhua013025032Chicheng013025033Chongli013026001Chengde013026021Qinglong013026022Kuancheng013026023Xinglong013026024Pingquan013026025Chengde013026026Luanping013026027Fengning013026028Longhua013026029Weichang013027001Qinhuangdao013027021Fengrun013027022Fengnan013027023Luanxian013027024Luannan013027025Leting013027026Changli013027027Funing013027028Lulong013027029Qian'An013027030Qianxi013027031Zunhua013027032Yutian013028001Langfang013028021Sanhe013028022Dachang Hui013028023Xianghe013028024Anci013028025Yongqing013028026Gu'An013028027Baxian013028028Wen'An013028029Dacheng013029001Cangzhou013029021Cangxian013029022Hejian013029023Suning013029024Xianxian013029025Jiaohe013029026Wuqiao013029027Dongguang013029028Nanpi013029029Yanshan013029030Huanghua013029031Menchun Hui013029032Qingxian013029033Renqiu013029034Haixing013030001Hengshui013030021Hengshui013030022Jixian013030023Zaoqiang013030024Wuyi013030025Shenxian013030026Wuqiang013030027Raoyang013030028Anping013030029Gucheng013030030Jingxian013030031Fucheng014001001Nancheng014001002Beicheng014001003Hexi014001011Gujiao014001012South Suburbs014001013North Suburbs014001021Qingxu014001022Yangqu014001023Loufan014002001Datong City Urban014002002Mining014002011South Suburbs014002012Xinrong014003001Yangchuan City Urban014003002Mining014003011Yangchuan City Suburbs014004001Changzhi City Urban014004011Changzhi City Suburbs014021021Yanggao014021022Tianzhen014021023Guangling014021024Lingqiu014021025Hunyuan014021026Yingxian014021027Shanyin014021028Shuoxian014021029Pinglu014021030Zuoyun014021031Youyu014021032Datong014021033Huairen014022021Xinxian014022022Dingxian014022023Wutai014022024Yuanping014022025Daixian014022026Fanshi014022027Ningwu014022028Jingle014022029Shenchi014022030Wuzhai014022031Kelan014022032Hequ014022033Baode014022034Pianguan014023021Fenyang014023022Wenshui014023023Jiaocheng014023024Xiaoyi014023025Xingxian014023026Linxian014023027Liulin014023028Shilou014023029Lanxian014023030Fangshan014023031Lishi014023032Zhongyang014023033Liaokou014024001Yuci014024021Yushe014024022Zuoquan014024023Heshan014024024Xiyang014024025Pingding014024026Yuxian014024027Shouyang014024028Yuci014024029Taigu014024030Qixian014024031Pingyao014024032Jiexiu014024033Lingshi014025021Changzhi014025022Lucheng014025023Tunliu014025024Zhangzi014025025Qingshui014025026Yangcheng014025027Jincheng014025028Gaoping014025029Lingchuan014025030Huguan014025031Pingshun014025032Licheng014025033Wuxiang014025034Xiangyuan014025035Qinxian014025036Qinyuan014026001Linfen014026002Huoma014026021Quwo014026022Yicheng014026023Xiangfen014026024Linfen014026025Hongtong014026026Huoxian014026027Guxian014026028Anze014026029Fushan014026030Jixian014026031Xiangning014026032Puxian014026033Daning014026034Yonghe014026035Xixian014026036Fenxi014027021Yuncheng014027022Yongli014027023Ruicheng014027024Linyi014027025Wangrong014027026Xinjiang014027027Jishan014027028Hejin014027029Wenxi014027030Xiaxian014027031Jiangxian014027032Pinglu014027033Yuanqu015001001Xincheng015001002Hui015001003Yuquan015001004Hohhot City Suburbs015001021Tumd015001022Togtoh015002001Donghe015002002Kundulun015002003Qingshan015002004Shiguai Md015002005Biayun'E Md015002006Baotou City Suburbs015002021Tumd015002022Guyang015003001Haibuowan015003002Hainan015003003Wuda015021001Hailar015021002Manzhouli015021021Butha015021022Arun015021023Morin Dawa Daur015021024Xuguit015021025Ergun015021026Ergun015021027Oroqen015021028Ewenki015021029Xin Barag015021030Xin Barag015021031Chen Barag015022001Ulan Hot015022021Horqin015022022Horqin015022023Jalaid015022024Tuquan015023001Tongliao015023021Tongliao015023022Horqin015023023Horqin015023024Kailu015023025Hure015023026Haiman015023027Jarud015024001Chifeng015024021Ar Horqin015024022Bairin015024023Biairin015024024Linxi015024025Hexiten015024026Ongniud015024027Chifeng015024028Harqin015024029Ningcheng015024030Aohan015025021Abagnar015025022Abag015025023Sonid Left015025024Sonid Right, Erenhot015025025Dong Ujimqin015025026Xi Ujimqin015025027Taibus015025028Xianghuang015025029Zhengxiangbai015025030Zhenglan015025031Duolun015026001Jining015026021Wuchuan015026022Horinger015026023Qingshuihe015026024Zhuozi015026025Huade015026026Shangdu015026027Xinghe015026028Fengzhen015026029Liangcheng015026030Qahar015026031Qahar015026032Qahar015026033Darhan Muminggan015026034Siziwang015027021Dongsheng015027022Dalad015027023Jungar015027024Otog015027025Otog015027026Hanggin015027027Uxin015027028Ejin Horo015028021Linhe015028022Wuyuan015028023Dengkou015028024Urad015028025Urad015028026Urad015028027Hanggin015029021Alxa015029022Alxa015029023Ejin021001002Heping021001003Shenhe021001004Dadong021001005Huanggu021001006Tiexi021001011Sujiatun021001012Dongling021001013Xinchengzi021001014Yuhong021001021Xinmin021001022Liaozhong021002002Zhongshan021002003Xigang021002004Hahekou021002011Ganjingzi021002012Lushunkou021002021Jinxian021002022Xinjin021002023Fuxian021002024Changhai021002025Zhuanghe021003002Tiedong021003003Tiexi021003004Lishan021003011Jiubao021003021Tai'An021003022Haicheng021004002Xinfu021004003Lutian021004004Wanghua021004011Fushun City Suburbs021004021Fushun021004022Xinbin021004023Qingyuan021005002Benxi City Urban 1021005003Benxi City Urban 2021005011Benxi City Urban 3021005021Benxi021005022Huanren021006002Yuanbao021006003Zhenxing021006004Zhen'An021006021Fengcheng021006022Xiuyan021006023Dongguo021006024Kuandian021007002Jinzhou City Urban 1021007003Jinzhou City Urban 2021007011Jinzhou City Suburbs021007021Jinxi021007022Xingcheng021007023Suizhong021007024Jinxian021007025Beizhen021007026Heishan021007027Yixian021008002Yingkou City Urban 1021008003Yingkou City Urban 2021008011Yingkou City Suburbs021008021Yingkou021008022Panshan021008023Dawa021008024Gaixian021009002Fuxin City Urban 1021009003Fuxin City Urban 2021009004Fuxin City Urban 3021009011Fuxin City Suburbs021009021Fuxin Mongolian021009022Zhangwu021010002Liaoyang City Urban 1021010003Liaoyang City Urban 2021010004Liaoyang City Urban 3021010011Liaoyang City Suburbs021010021Liaoyang021010022Dengta021021001Tieling021021002Tiefa021021021Tieling021021022Kaiyuan021021023Xifeng021021024Changtu021021025Kangping021021026Faku021022001Chaoyang021022021Chaoyang021022022Jianping021022023Lingyuan021022024Harqin Mongolian021022025Jianchang021022026Beipiao022001001Nanguan022001002Kuancheng022001003Chaoyang022001004Erdaohezi022001011Changchun City Suburbs022001021Yushu022001022Nong'An022001023Jiutai022001024Dehui022001025Shuangyang022002001Changyi022002002Longtan022002003Chuanying022002011Jilin City Suburbs022002021Yongji022002022Shulan022002023Panshi022002024Jiaohe022002025Huadian022021001Siping022021002Liaoyuan022021021Huaide022021022Lishu022021023Yitong022021024Dongfeng022021025Shuangliao022022001Tonghua022022002Hunjiang022022021Hailong022022022Tonghua022022023Liuhe022022024Huinan022022025Ji'An022022026Fusong022022027Jingyu022022028Changbai Korean022023001Baicheng022023021Fuyu022023022Tao'An022023023Changling022023024Qian Corlos Mongolian022023025Da'An022023026Zhenlai022023027Tongyu022023028Qian 'An022024001Yanji022024002Tumen022024021Yanji022024022Dunhua022024023Helong022024024Wangqing022024025Hunchun022024026Antu023001001Daoli023001002Nangang023001003Daowai023001004Taiping023001005Xiangfang023001006Dongli023001007Pingfang023002001Longsha023002002Jianhua023002003Tiefeng023002004Ang'Angxi023002005Fularji023002006Hua'An023002007Meilisi023003001Jiguan023003002Hengshan023003003Didao023003004Lishu023003005Chenghezi023003006Mashan023004001Xiangyang023004002Gongnong023004003Nanshan023004004Xing'An023004005Dongshan023004006Xingshan023004099Hegang City, unknown county023005001Jianshan023005002Lingdong023005003Lingxi023005004Shifangtai023005005Baoshan023006001Sartu023006002Longfeng023006003Ranghu023006004Honggang023006005Datong023007001Yichun023007002Nancha023007003Youhao023007004Xilin023007005Chuiluan023007006Xinqibg023007007Meixi023007008Dafeng023007009Wuying023007010Wuminhe023007011Dongfeng023007012Dailing023007013Wuyiling023007014Hongxing023007015Shangganling023007021Tieli023007022Jiayin023021021Acheng023021022Binxian023021023Hulan023021024Shuangcheng023021025Wuchang023021026Bayan023021027Mulan023021028Tonghe023021029Shangzhi023021030Fangzhen023021031Yanshou023022021Longjiang023022022Nahe023022023Yi'An023022024Tailai023022025Gannan023022026Dorbod Mongolian023022027Fuyu023022028Lindian023022029Keshan023022030Kedong023022031Baiquan023023021Hailun023023022Zhaodong023023023Suihua023023024Wangkui023023025Lanxi023023026Qinggang023023027Anda023023028Zhaoyuan023023029Zhaozhou023023030Qing'An023023031Mingshui023023032Suiling023024001Jiamusi023024002Qitaihe023024021Fujin023024022Huanan023024023Yilan023024024Boli023024025Jijian023024026Huachuan023024027Baoqing023024028Tangyuan023024029Suibin023024030Luobei023024031Tongjiang023024032Yaohe023024033Fuyuan023025001Mudanjiang023025002Suifenhe023025021Ning'An023025022Hailin023025023Mulling023025024Dongning023025025Linkou023025026Jidong023025027Mishan023025028Hulin023026001Heihe023026021Bei'An023026022Nenjiang023026023Dedu023026024Aihui023026025Xunke023026026Sunwu023027001Jagedaqi023027002Songling023027003Xinling023027004Huzhong023027021Huma023027022Tahe023027023Muohe031000101Huangpu031000102Nanshi031000103Luwan031000104Xuhui031000105Changning031000106Jin'An031000107Putuo031000108Zhabei031000109Hongkou031000110Yangpu031000111Wusong031000112Minhang031000221Shanghai031000222Jiading031000223Baoshan031000224Chuansha031000225Nanhui031000226Fengxian031000227Songjiang031000228Jinchuan031000229Qingpu031000230Congming032001001Xuanwu032001002Baixia032001003Qinhuai032001004Jianye032001005Gulou032001006Xiaguan032001011Pukou032001012Dachang032001013Qixia032001014Yuhuatai032001021Jiangning032001022Jiangpu032001023Luhe032002001Cong'An032002002Nanchang032002003Beitang032002011Wuxi City Suburbs032003001Gulou032003002Yunlong032003003Mining032003004Jiawang032003018Xuzhou City Suburbs032004001Tianning032004002Guanghua032004003Zhonglou032004004Qishuyan032004011Changzhou City Suburbs032005001Changlang032005002Pingjiang032005003Jingchang032005011Suzhou City Suburbs032006001Nantong City Urban032006002Nantong City Rural032006011Nantong City Suburbs032007001Lianyun032007002Yuntai032007003Xinpu032007004Haizhou032007018Lianyungang City Suburbs032021021Fengxian032021022Peixian032021023Tongshan032021024Suining032021025Pixian032021026Xinyi032021027Donghai032021028Ganyu032022001Jingjiang032022021Huaiyin032022022Guanyun032022023Guannan032022024Muyang032022025Xuqian032022026Siyang032022027Lianshui032022028Shihong032022029Huai'An032022030Hongze032022031Xuyi032022032Jinhu032023021Xiangshui032023022Binhai032023023Funing032023024Sheyang032023025Jianhu032023026Yancheng032023027Dafemg032023028Dongtai032024001Yangzhou032024002Taizhou032024021Xinghua032024022Gaoyou032024023Baoying032024024Jingjiang032024025Taixing032024026Jiangdu032024027Hanjiang032024028Taixian032024029Yizheng032025021Hai'An032025022Rugao032025023Rudong032025024Nantong032025025Haimen032025026Qidong032026001Zhenjiang032026021Dantu032026022Wujin032026023Danyang032026024Jurong032026025Jintan032026026Lishui032026027Gaochun032026028Liyang032026029Yizhong032026030Yangzhong032027021Jiangyin032027022Wuxi032027023Shazhou032027024Changshu032027025Taichang032027026Kunshan032027027Wuxian032027028Wujiang033001001Shangcheng033001002Xiacheng033001003Jianggan033001004Gongshu033001005Xihu033001006Panshan033001021Xiaoshan033001022Tonglu033001023Fuyang033001024Lin'An033001025Yuhang033001026Jiande033001027Chun'An033002001Haishu033002002Jiangdong033002003Jiangbei033002004Binhai033002011Zhenhai033002021Zhenhai033003001Wenzhou City Urban 1033003002Wenzhou City Urban 2033003003Wenzhou City Urban 3033003011Wenzhou City Suburbs033003021Ouhai033003022Dongtou033003023Leqing033003024Yongjia033003025Rui'An033003026Pingyang033003027Chang'An033003028Wencheng033003029Taishun033021001Huzhou033021002Jiaxing033021021Jiashan033021022Pinghu033021023Haining033021024Haiyan033021025Tongxiang033021026Deqing033021027Changxing033021028Anjin033022021Cixi033022022Yuyao033022023Fenghua033022024Xiangshan033022025Ninghai033022026Yinxian033023001Shaoxing033023021Shangyu033023022Shengxian033023023Xinchang033023024Zhuji033024001Jinhua033024002Quzhou033024021Lanxi033024022Yongkang033024023Wuyi033024024Dongyang033024025Yiwu033024026Pujiang033024027Changshan033024028Jiangshan033024029Kaihua033025021Lishu033025022Qingtian033025023Yunhe033025024Longquan033025025Qingyuan033025026Jinyun033025027Suichang033025028Songyang033026001Shujiang033026021Linhai033026022Huangyan033026023Wenlin033026024Xianju033026025Tiantai033026026Sanmen033026027Yuhuan033027021Dinghai033027022Putuo033027023Daishan033027024Shengsi034001001Dongshi034001002Zhongshi034001003Xishi034001011Hefei City Suburbs034001021Changfeng034002001Jinghu034002002Matang034002003Xinwu034002004Yuxi034002005Shiheshan034002011Wuhu City Suburbs034002021Wuhu034003001Dongshi034003002Zhongshi034003003Xishi034003011Bengbu City Suburbs034004001Datong034004002Tianjia'An034004003Xiejiaji034004004Bagongshan034004005Panji034004021Fengtai034005001Jinjiazhuang034005002Huashan034005003Yushan034005004Xiangshan034006001Duji034006002Xiangshan034006003Lieshan034006011Huaibei City Suburbs034006021Suixi034007001Tongguansha034007002Shizishan034007003Tongshan034007011Tongling City Suburbs034007021Tongling034008001Yingjiang034008002Daguan034008011Anqing City Suburbs034021001Fuyang034021021Fuyang034021022Linquan034021023Taihe034021024Guoyang034021025Mengcheng034021026Haoxian034021027Funan034021028Yingshang034021029Jieshuo034021030Lixin034022001Suzhou034022021Dangshan034022022Xiaoxian034022023Suxian034022024Lingbi034022025Shixian034022026Huaiyuan034022027Wuhe034022028Guzhen034023021Tianchang034023022Lai'An034023023Chuxian034023024Quanjiao034023025Dingyuan034023026Fengyang034023027Jiashan034024001Lu'An034024021Lu'An034024022Shouxian034024023Huoqiu034024024Feixi034024025Shucheng034024026Jinzhai034024027Huoshan034025021Xuancheng034025022Langxi034025023Guangde034025024Ningguo034025025Dangtu034025026Fangchang034025027Nanling034025028Qingyang034025029Jingxian034026021Feidong034026022Lujiang034026023Wuwei034026024Chaoxian034026025Hanshan034026026Hexian034027001Tunxi034027021Jixi034027022Jingde034027023Shexian034027024Xiuning034027025Yixian034027026Qimen034027027Taiping034027028Shitai034028021Huaining034028022Tongcheng034028023Zongyang034028024Qianshan034028025Taihu034028026Susong034028027Wangjiang034028028Yuexi034028029Dongzhi034028030Cuichi035001001Gulou035001002Taijiang035001003Changshan035001004Mawei035001011Fuzhou City Suburbs035001021Minhou035002001Gulangyu035002002Shiming035002003Kaiyuan035002004Xinglin035002011Xiamen City Suburbs035002021Tong'An035021001Nanping035021021Shunchang035021022Jianyang035021023Jian'Ou035021024Pucheng035021025Shaowu035021026Cong'An035021027Guangze035021028Songxi035021029Zhenhe035022021Ningde035022022Lianjiang035022023Luoyuan035022024Fuding035022025Xiapu035022026Fu'An035022027Gutian035022028Pingnan035022029Shouning035022030Zhouning035022031Zherong035023021Minqing035023022Yongtai035023023Changle035023024Fuqing035023025Pingtan035023026Putian035023027Xianyou035024001Quanzhou035024021Hui'An035024022Jinjiang035024023Nana'An035024024Anxi035024025Yongchun035024026Dehua035025001Zhangzhou035025021Longhai035025022Yunxiao035025023Zhangpu035025024Zhao'An035025025Changhai035025026Dongshan035025027Nanjing035025028Pinghe035025029Hua'An035026001Longyan035026021Changting035026022Yongding035026023Shanghang035026024Wuping035026025Changping035026026Liancheng035027001Sanming035027021Mingxi035027022Yong'An035027023Qingliu035027024Ninghua035027025Datian035027026Youxi035027027Shaxian035027028Jiangle035027029Taining035027030Jianning036001001Donghu036001002Xihu036001003Qingyunpu036001004Wanli036001011Surburbs036001021Nanchang036001022Xinjian036002001Changjiang036002002Zhushan036002011Ehu036002012Wentan036003001Chengguan036003011Shangli036003012Luxi036003013Xiangdong036004001Lushan036004002Xunyang036004011Jiujiang Surburbs036021001Ganzhou036021021Ganxian036021022Nankang036021023Xinfeng036021024Dayu036021025Shangyou036021026Congyi036021027Anyuan036021028Longnan036021029Dingnan036021030Quannan036021031Ningdu036021032Yudu036021033Xingguo036021034Ruijin036021035Huichang036021036Xunwu036021037Shicheng036021038Guangchang036022001Yichun036022021Fengcheng036022022Gao'An036022023Qingjiang036022024Xinyu036022025Yichun036022026Fengxin036022027Wanzai036022028Shanggao036022029Yifeng036022030Fenyi036022031Anyi036022032Jing'An036022033Tonggu036023001Shangrao036023002Yingtan036023021Shangrao036023022Guamgfeng036023023Yushan036023024Jianshan036023025Hengfeng036023026Geyang036023027Guixi036023028Yujiang036023029Yugan036023030Boyang036023031Wannian036023032Leping036023033Dexing036023034Wuyuan036024001Ji'An036024021Ji'An036024022Jishui036024023Xiajiang036024024Xingan036024025Yongfeng036024026Taihe036024027Suichuan036024028Wan'An036024029Anfu036024030Yongxin036024031Lianhua036024032Ninggang036024033Jingganshan036025001Fuzhou036025021Linchun036025022Nancheng036025023Lichun036025024Nanfeng036025025Congren036025026Le'An036025027Yihuang036025028Jinxi036025029Zixi036025030Jinxian036025031Dongxiang036026021Jiujiang036026022Ruichang036026023Wuning036026024Xiushui036026025Yongxiu036026026De'An036026027Xingzi036026028Duchang036026029Hukou036026030Pengzu037001001Lixia037001002Shizhong037001003Huaiyin037001004Tianqiao037001011Jinan City Suburbs037001021Licheng037001022Changqiu037001023Changqing037002001Shinan037002002Shibei037002003Taidong037002004Sifang037002005Changkou037002006Huangdao037002021Laoshan037002022Jimuo037002023Jiaonan037002024Jiaxian037003001Zichuan037003002Changdian037003003Puoshan037003004Linzi037003005Zhoucai037004001Shizhong037004002Xuecheng037004003Fengcheng037004004Tai'Erzhuang037004005Shanting037004021Tengxian037021001Yantai037021002Weihai037021021Fushan037021022Penglai037021023Huangxian037021024Zhaoyuan037021025Yexian037021026Laixi037021027Laiyang037021028Qixia037021029Haiyang037021030Rushan037021031Mouping037021032Wendeng037021033Rongcheng037021034Changdao037022001Weifang037022021Yidu037022022Anqiu037022023Shouguang037022024Linqu037022025Changle037022026Changyi037022027Gaomi037022028Zhucheng037022029Wulian037022030Pingdu037022031Weixian037023021Huimin037023022Binxian037023023Yangxin037023024Wudi037023025Zhanhua037023026Lijin037023027Guangrao037023028Boxing037023029Huanlai037023030Zouping037023031Gaoqing037023032Kenli037024001Dezhou037024021Lingxian037024022Pingyuan037024023Xiajin037024024Wucheng037024025Qihe037024026Yucheng037024027Leling037024028Linyi037024029Shanghe037024030Jiyang037024031Ningjin037024032Qingyun037025021Liaocheng037025022Yanggu037025023Shenxian037025024Chiping037025025Dong'E037025026Guanxian037025027Gaotang037025028Linqing037026001Tai'An037026022Laiwu037026023Xintai037026024Ningyang037026025Feicheng037026026Dongping037026027Pingying037026028Xinwen037027001Jining037027021Jining037027022Yanzhou037027023Qufu037027024Shishui037027025Zouxian037027026Weishan037027027Yutai037027028Jinxiang037027029Jiaxiang037027030Wenshang037028021Linyi037028022Tancheng037028023Cangshan037028024Junan037028025Rizhao037028026Juxian037028027Yishui037028028Yiyuan037028029Mengyin037028030Pingyi037028031Feixian037028032Yinan037028033Linshu037029021Heze037029022Caoxian037029023Dingtao037029024Chengwu037029025Shanxian037029026Juye037029027Liangshan037029028Yuncheng037029029Juancheng037029030Dongming041001001Zhongyuan041001002Erqi041001003Guancheng041001004Jinshui041001005Shangjie041001009Xinmi041001011Jinhai041001012Zhengzhou City Suburbs041001021Xingyang041002001Longting041002002Shunhe Hui041002003Gulou041002004Nanguan041002011Kaifeng City Suburbs041003001Laocheng041003002Xigong041003003Chanhe Hui041003004Jianxi041003009Jili041003011Luoyang City Suburbs041004001Xinhua041004002Weidong041004011Pingdingshan City Suburbs041005001Wenfeng041005002Beiguan041005003Tiexi041005011Anyang City Suburbs041006001Heshan041006002Shancheng041006011Hebi City Suburbs041007001Hongqi041007002Xinhua041007003Beizhan041007011Xinxiang City Suburbs041008001Jiaozuo City Urban 1041008002Jiaozuo City Urban 2041008003Jiaozuo City Urban 3041008011Jiaozuo City Suburbs041021021Linxian041021022Anyang041021023Tangyin041021024Qixian041021025Xunxian041021026Puyang041021027Huaxian041021028Qingfeng041021029Nanle041021030Neihuang041021031Changyuan041021032Fanxian041021033Taiqian041022021Qinyang041022022Bo'Ai041022023Jiyuan041022024Mengxian041022025Wenxian041022026Wuzhi041022027Xiuwu041022028Huojia041022029Xinxiang041022030Huixian041022031Jixian041022032Yuanyang041022033Yanjin041022034Fengqiu041023001Shangqiu041023021Yucheng041023022Shangqiu041023023Minquan041023024Ningling041023025Suixian041023026Xiayi041023027Zhecheng041023028Yongcheng041024021Qixian041024022Tongxu041024023Weishi041024024Kaifeng041024025Zhongmou041024026Xinzheng041024027Gongxian041024028Dengfeng041024029Mixian041024030Lankao041025001Sanmengxia041025002Yima041025021Yanshi041025022Mengjin041025023Xin'An041025024Mianchi041025025Shanxian041025026Lingbao041025027Yichuan041025028Ruyang041025029Songxian041025030Luoning041025031Lushi041025032Luanchuan041025033Linru041025034Yiyang041026001Xuchang041026002Luohe041026021Changge041026022Yuxian041026023Yanling041026024Xuchang041026025Jiaxian041026026Linying041026027Xiangcheng041026028Baofeng041026029Yancheng041026030Yexian041026031Lushan041026032Wuyang041026098Tieshan041027001Zhoukou041027021Fugou041027022Xihua041027023Shangshui041027024Taikang041027025Luyi041027026Hancheng041027027Huaiyang041027028Shenqiu041027029Xiangcheng041028001Zhumadian041028021Queshan041028022Biyang041028023Suiping041028024Xiping041028025Shangcai041028026Runan041028027Pingyu041028028Xincai041028029Zhnegyang041029001Nanyang041029021Nanzhao041029022Fangcheng041029023Xixia041029024Nanyang041029025Zhenping041029026Neixiang041029027Zhechuan041029028Duqi041029029Tanghe041029030Dengxian041029031Xinye041029032Tonghai041030001Xinyang041030021Xixian041030022Huaibin041030023Xinyang041030024Huangchuan041030025Guangshan041030026Gushi041030027Shangcheng041030028Luoshan041030029Xinxian042001001Jiang'An042001002Jianghan042001003Qiaokou042001004Hanyang042001005Wuchang042001006Qingshan042001011Hongshan042001012Dongxihu042001018Hannan042001021Hanyang042001022Wuchang042002001Huangshigang042002002Shihuiyao042002003Xialu042002004Tieshan042002011Huangshi City Suburbs042002021Daye042003000Shiyan City042004000Shashi City042005000Yichang City042006000Xiangfan City042021001Echng042021021Huanggang042021022Xinzhou042021023Hong'An042021024Macheng042021025Luotian042021026Yingshan042021027Xishui042021028Qichun042021029Guangji042021030Huangmei042021031Echeng042022021Xiaogan042022022Huangpi042022023Dawu042022024Yingshan042022025Anlu042022026Yunmeng042022027Yingcheng042022028Hanchuan042023021Xianning042023022Jiayu042023023Puqi042023024Tongcheng042023025Chongyang042023026Tongshan042023027Yangxin042024001Jinmen042024021Jiangling042024022Songzi042024023Gong'An042024024Shishou042024025Jianli042024026Honghu042024027Mianyang042024028Tianmen042024029Qianjiang042024030Jingmen042024031Zhongxiang042024032Jingshan042025001Suizhou042025002Laohekou042025021Xiangyang042025022Zaoyang042025023Suixian042025024Yicheng042025025Nanchag042025026Guanhua042025027Gucheng042025028Baokang042026021Junxian042026022Yunxian042026023Yunxian042026024Zhushan042026025Zhuxi042026026Fangxian042026027Shennongjia042027021Yichang042027022Yidu042027023Zhijiang042027024Dangyang042027025Yuan'An042027026Xingshan042027027Zigui042027028Changyang042027029Wufeng042028001Enshi042028021Enshi042028022Jianshi042028023Badong042028024Lichuan042028025Xuan'En042028026Xiangfeng042028027Laifeng Tujia Ac042028028Hefeng Tujia Ac043001001Dongqu043001002Nanqu043001003Xiqu043001004Beiqu043001011Changsha City Suburbs043001021Changca043001022Wangcheng043002001Dongqu043002002Beiqu043002003Nanqu043002011Zhuzhou City Suburbs043002021Zhuzhou043003000Shaoyang City043004000Xiangtan City043005000Hengyang City043021021Xiangtan043021022Xiangxiang043021023Liling043021024Liuyang043021025Youxian043021026Chaling043021027Lingxian043022001Yueyang043022022Pingjiang043022023Xiangyin043022024Miluo043022025Linxin043022026Huarong043023001Yiyang043023021Yiyang043023022Nanxian043023023Yuanjiang043023024Ningxiang043023025Taojiang043023026Anhua043024001Changde043024002Jinshi043024021Changde043024022Anxiang043024023Hanshou043024024Lixian043024025Linli043024026Taoyuan043024027Shimen043024028Cili043025001Luodi043025002Lengshuijiang043025021Lianyuan043025022Shuangfeng043025023Shaodong043025024Xinhua043025025Xinshao043026021Shaoyang043026022Longhui043026023Wugang043026024Dongkou043026025Xinning043026026Suining043026027Chenbu Miao043027021Hengyang043027022Hengnan043027023Hengshan043027024Hengdong043027025Changning043027026Qidong043027027Qiyang043028001Chenzhou043028021Chenxian043028022Guiyang043028023Yongxing043028024Yizhang043028025Zixing043028026Jiahe043028027Linwu043028028Rucheng043028029Guidong043028030Laiyang043028031Anren043029001Yongzhou043029021Lingling043029022Dong'An043029023Daoxian043029024Ningyuan043029025Jiangyong043029026Jianghua Yao043029027Lanshan043029028Xintian043029029Suangpai043030001Huaihua043030002Hongjiang043030021Qiangyang043030022Yuanling043030023Chenxian043030024Xupu043030025Mayang043030026Xinhuang Dong043030027Zhijiang043030028Huaihua043030029Huitong043030030Jingxian043030031Tongdao Dong043031021Jishou043031022Luxi043031023Fenghuang043031024Huayuan043031025Baojing043031026Guchang043031027Yongshun043031028Dayong043031029Sangzhi043031030Longshan044001001Dongshan044001002Liwan044001003Yuexiu044001004Haizhu044001011Guangzhou City Suburbs044001012Huangpu044001021Huaxian044001022Conghua044001023Xinfeng044001024Longmen044001025Zencheng044001026Panyu044002020Shaoguan City Urban044002021Qujiang044003020Shenzhen City Urban044003021Bao'An044004000Zhuhai City044021001Haikou044021021Qiongshan044021022Wenchang044021023Qionghai044021024Waninig044021025Ding'An044021026Tunchang044021027Chengmai044021028Lingao044021029Danxian044022021Yaxian044022022Dongfang044022023Ledong044022024Qiongzhong044022025Baoting044022026Lingshui044022027Baisha044022028Changjiang044023001Shantou044023002Chaozhou044023021Chao'An044023022Chenghai044023023Raoping044023024Nan'Ao044023025Chaoyang044023026Jieyang044023027Jiexi044023028Puning044023029Huilai044023030Lufeng044023031Haifeng044024001Meizhou044024021Meixian044024022Dabu044024023Fengshun044024024Wuhua044024025Xingning044024026Pingyang044024027Jiaoling044025001Huizhou044025021Huiyang044025022Zijin044025023Heping044025024Lianping044025025Heyuan044025026Boluo044025027Dongguan044025028Huidong044025029Longchuan044026021Shixian044026022Nanxiong044026023Renhua044026024Lechang044026025Lianxian044026026Yangshan044026027Yingde Qingyuan044026028Fogang044026029Wenyuan044026030Lianshan044026031Zhuang-Yao044026032Liannan Yao044026033Ruyuan Yao044027001Foshan044027002Jiangmen044027021Sanshui044027022Nanhai044027023Shunde044027024Zhongshan044027025Doumen044027026Xinhui044027027Taishan044027028Enping044027029Kaiping044027031Heshan044027032Gaoming044028001Zhaoqing044028021Gaoyao044028022Sihui044028023Guangning044028024Huaiji044028025Fengkai044028026Deqing044028027Yunfu044028028Xinxing044028029Yunan044028030Luoding044029001Zhanjiang044029002Maoming044029021Yangjiang044029022Yangchun044029023Xinyi044029024Gaozhou044029025Dianbai044029026Wuchuan044029027Huazhou044029028Liangjiang044029029Suixi044029030Haikang044029031Xuwen045001001Xingning045001002Xincheng045001003Chengbei045001004Jiangnan045001005Yongxin045001011Nanning City Suburbs045002001Chengzhong045002002Yufeng045002003Liunan045002004Liubei045002011Liuzhou City Suburbs045003001Xiufeng045003002Diecai045003003Xiangshan045003004Qixing045003011Guilin City Suburbs045003021Yangshuo045004001Baiyun045004002Wanxiu045004003Dieshan045004004Yuanjiang045004011Wuzhou City Suburbs045021001Pingxiang045021021Yongning045021022Hengxian045021023Binyang045021024Shanglin045021025Wuming045021026Long'An045021027Mashan045021028Fusui045021029Chongzou045021030Daxin045021031Tiandeng045021032Ningming045021033Longzhou045022001Heshan045022021Liujiang045022022Liucheng045022023Luzhai045022024Xiangzhou045022025Wuxuan045022026Laibin045022027Rong'An045022028Sanjiang Dong045022029Rongshui Miao045022030Jinxiu Yao045022031Xincheng045023021Lingui045023022Lingchuan045023023Quanzhou045023024Xing'An045023025Yongfu045023027Guanyang045023028Longsheng045023029Ziyuan045023030Pingle045023031Lipu045023032Gongcheng045024021Cenxi045024022Cangwu045024023Tengxian045024024Zhaoping045024025Mengshan045024026Hexian045024027Zhongshan045024028Fuchuan045025021Yulin045025022Guixian045025023Guiping045025024Pingnan045025025Rongxian045025026Beiliu045025027Luchuan045025028Bobai045026021Bose045026022Tianyang045026023Tiandong045026024Pingguo045026025Debao045026026Jingxi045026027Napo045026028Lingyun045026029Leye045026030Tianlin045026031Longlin045026032Xlin045027021Hechi045027022Yishan045027023Luocheng045027024Huangjiang045027025Nandan045027026Tian'E045027027Fengshan045027028Donglan045027029Bama Yao045027030Du'An Yao045028001Beihai045028021Shangsi045028022Fangcheng045028023Qinzhou045028024Linshan045028025Hepu045028026Pubei051001001Chengdu city Urban 1051001002Chengdu city Urban 2051001003Chengdu city Urban 3051001011Jinniu051001012Longquanyi051001013Qingbaijiang051001021Jintang051001022Shuangliu051001023Wenjiang051001024Pixian051001025Xindu051001026Pengxian051001027Guanxian051001028Congqing051001029Dayi051001030Qionglai051001031Pujiang051001032Xinjin051002001Shizhong051002011Dadukou051002012Jiangbei051002013Shapingba051002014Jiulongpo051002015Nan'An051002016Beibei051002017Nantong051002018Shuangqiao051002021Changshou051002022Baxian051002023Qijiang051002024Jiangbei051002025Jiangjin051002026Hechuan051002027Tongnan051002028Tongliang051002029Yongchuan051002030Dazu051002031Rongchang051002032Bishan051003001Zhiliiujing051003002Gongjing051003003Da'An051003011Yantan051003021Rongxian051003022Fushun051004001Dongqu051004002Xiqu051004011Renhe051004021Miyi051004022Yanbian051005001Shizhong051005021Luxian051005022Hejiang051005023Naxi051006001Shizhong051006021Mianzhu051006022Zhongjiang051006023Guanghan051006024Shifang051022001Wanxian051022021Wanxian051022022Kaixian051022023Zhongxian051022024Liangping051022025Yunyang051022026Fengjie051022027Wushan051022028Wuxi051022029Chengkou051023001Fuling051023022Dianjiang051023023Nanchuan051023024Fengdu051023025Shizhu051023026Wulong051023027Pengshui051023028Qianjiang051023029Youyang051023030Xiushan051024001Neijiang051024021Neijiang051024022Zizhong051024023Ziyang051024024Jiangyang051024025Weiyuan051024026Longchang051024027Anyue051024028Lezhi051025001Yibin051025025Xuyong051025026Gulin051025027Yibin051025028Nanxi051025029Jiang'An051025030Changning051025031Gaoxian051025032Junlian051025033Gongxian051025034Xingwen051025035Pingshan051026001Leshan051026021Rentou051026022Meishan051026023Qianwei051026024Jingyan051026025Emei051026026Jiajiang051026027Hongya051026028Pengshan051026029Muchuan051026030Qingshen051026031Danleng051026032Ebian051026033Mabian051026034Jinkouhe051028001Mianyang051028023Anxian051028024Jiangyou051028025Zitong051028026Jiange051028027Guangyuan051028028Wangcang051028029Qingchuan051028030Pingwu051028031Beichuan051028032Suining051028033Santai051028035Pengxi051028036Shehong051028037Yanting051029001Nanchong051029021Nanchong051029022Nanbu051029023Yuechi051029024Yingshan051029025Guang'An051029026Peng'An051029027Yilong051029028Wusheng051029029Xichong051029030Langzhong051029031Cangxi051029032Huayuan051030001Daxian051030021Daxian051030022Xuanhan051030023Kaijiang051030024Wanyuan051030025Tongjiang051030026Nanjiang051030027Bazhong051030028Pingchang051030029Dazhu051030030Quxian051030031Linshui051030032Baisha051031021Yan'An051031022Mingshan051031023Yingjing051031024Hanyuan051031025Shimian051031026Tianquan051031027Lushan051031028Baoxing051032021Wenchuan051032022Lixian051032023Maowen Qiang051032024Songpan051032025Nanping051032026Jinchuan051032027Xiaojin051032028Heishui051032029Markam051032030Aba051032031Zoige051032032Hongyuan051032033Zamthang051033021Kangding051033022Luding051033023Danba051033024Jiulong051033025Yajiang051033026Dawu051033027Luhuo051033028Garze051033029Xinlong051033030Dege051033031Baiyu051033032Serxu051033033Sertar051033034Litar051033035Batang051033036Xiangcheng051033037Daocheng051033038Derong051034001Xichang051034021Xichang051034022Muli Tibetan051034023Yanyuan051034024Dechang051034025Huili051034026Huidong051034027Ningnan051034028Puge051034029Butuo051034030Jinyang051034031Zhaojue051034032Xide051034033Mianning051034034Yuexi051034035Ganluo051034036Meigu051034037Leibo052001001Nanming052001002Yunyan052001011Huaxi052001012Wudang052001013Baiyun052002001Shuicheng052002002Panxian052002003Liuzhi052021001Zunyi052021021Zunyi052021022Tongzi052021023Suiyang052021024Zheng'An052021025Daozhen052021026Wuchuan052021027Fenggang052021028Meitian052021029Yuqing052021030Renhuai052021031Chishui052021032Xishui052022021Tongren Prefecture052022022Jiangkou052022023Yuping052022024Shiqian052022025Sinan052022026Yinjiang052022027Dejiang052022028Yanhe052022029Songtao Miao052022030Wanshan052023021Xingyi052023022Xingren052023023Pu'An052023024Qinglong052023025Zhenfeng052023026Wangmo052023027Ceheng052023028Anlong052024021Bijie052024022Dafang052024023Qianxi052024024Jinsha052024025Zhijin052024026Nayong052024027Weining Yi-Hui Miao052024028Hezhang052025001Anshun052025021Anshun052025022Kaiyang052025023Xifeng052025024Xiuwen052025025Qingzhen052025026Pingba052025027Puding052025028Guanling Bouyei-Miao052025029Zhenning Bouyei-Miao052025030Ziyun Bouyei-Miao052026021Kaili052026022Huangping052026023Shibing052026024Sansui052026025Zhengyuan052026026Cengong052026027Tianzhu052026028Jinping052026029Jianhe052026030Taijiang052026031Liping052026032Rongjiang052026033Congjiang052026034Leishan052026035Majiang052026036Danzhai052027001Dunyun052027021Duyun052027022Libo052027023Guiding052027024Fuquan052027025Weng'An052027026Dushan052027027Pingtang052027028Luodian052027029Changshun052027030Longli052027031Huishui052027032Sandu Shui053001001Wuhua053001002Panlong053001011Guandu053001012Xishan053001013[no label]053001021Chenggong053001022Jinning053001023Anning053001024Fumin053002000Dongchuan053021001Zhaotong053021021Zhaotong053021022Ludian053021023Qiaojia053021024Yanjin053021025Daguan053021026Yongshan053021027Suijiang053021028Zhenxiong053021029Yiliang053021030Weixin053021031Shuifu053022021Qujing053022022Zhanyi053022023Malong053022024Xuanwei053022025Fuyuan053022026Luoping053022027Shizong053022028Luliang053022029Yiliang053022030Lunan Yi053022031Xundian Hui-Yi053022032Songming053022033Huize053023021Chuxiong053023022Shuangbai053023023Mouding053023024Nanhua053023025Yao'An053023026Dayao053023027Yongren053023028Yuanmou053023029Wuding053023030Luquan053023031Lufeng053024021Yuxi053024022Jiangchuan053024023Chengjiang053024024Tonghai053024025Huaning053024026Yimen053024027Eshan Yi053024028Xinping Yi-Dai053024029Yuanjiang Hani-Yi-Dai053025001Gejiu053025002Kaiyuan053025022Mengzi053025023Pingbian Miao053025024Jianshui053025025Shiping053025026Mile053025027Luxi053025028Yuanyang053025029Honghe053025030Jinping053025031Luchun053025032Hekou Yao053026021Wenshan053026022Yanshan053026023Xichou053026024Malipo053026025Maguan053026026Qiubei053026027Guangnan053026028Funing053027021Simao053027022Pu'Er053027023Mojiang Hani053027024Jingdong053027025Jinggu053027026Zhenyuan053027027Jiangcheng Dai-Lahu-Va053027028Menglian Dai-Lahu-Va053027029Lancang Lahu053027030Ximeng Va053028021Jinghong053028022Menghai053028023Mengla053029001Xiaguan053029021Dali053029022Yangbi053029023Xiangyun053029024Binchuan053029025Midu053029026Nanjian Yi053029027Weishan Yi-Hui053029028Yongping053029029Yunlong053029030Eryuan053029031Jianchuan053029032Heqing053030021Baoshan053030022Shidian053030023Tengchong053030024Longling053030025Changning053031021Luxi053031022Lianghe053031023Yingjiang053031024Longchuan053031025Ruili, Wandingzhen053032021Lijiang Nanxi053032022Yongsheng053032023Huaping053032024Ninglang Yi053033021Lushui053033022Bijiang053033023Fugong053033024Gongshan053033025Derung-Nu053034021Zhongdian053034022Deqen053034023Weixi053035021Lincang053035022Fengqing053035023Yunxian053035024Yongde053035025Zhenkang053035026Shungjiang053035027Gengma Dai-Va053035028Cangyuan Va054001020Lhasa City Urban054001021Lhunzhub054001022Damxung054001023Nyemo054001024Quxu054001025Doilungdeqen054001026Dagze054001027Maizhokunggar054001028Gongbo'Gyamda054001029Nyingchi054001030Mainling054021021Qamdo054021022Qomda054021023Gonjo054021024Riwoqe054021025Dengqen054021026Zhagyab054021027Baxoi054021028Zogang054021029Markam054021030Bomi054021031Zayu054021032Lhorong054021033Banbar054022021Nedong054022022Zhanang054022023Gonggar054022024Sangri054022025Qonggyai054022026Qusum054022027Comai054022028Lhozhag054022029Gyaca054022030Nagxian054022031Lhunze054022032Cona054022033Nagarze054023021Xigaze054023022Namlin054023023Gyangze054023024Tingri054023025Sa'Gya054023026Lhaze054023027Ngamring054023028Xaitongmoin054023029Bainang054023030Rinbugn054023031Kangmar054023032Dinggye054023036Nyalam054023037Saga054023999Xigaze prefecture, counties under 20,000 population054024021Nanqu054024022Lhari054024023Biru054024024Nyainrong054024025Ando054024026Xainza054024027Sog054024028Baingoin054024029Baqen054025026Gerze054025999Ali prefecture, counties under 20,000 population061001001Xincheng061001002Peilin061001003Lianhu061001011Baqiao061001012Muoyang061001013Yanta061001014Yanliang061001021Chang'An061002001Tongchuan City Urban061002011Tongchuan City Suburbs061002021Yaoxian061003001Weibin061003002Jintai061003021Baoji061003022Fengxian061003023Qishan061003024Fufeng061003025Wugong061003026Meixian061003027Longxian061003028Qianyang061003029Linyou061003030Fengxian061003031Taibai061021021Lantian061021022Lingtong061021023Weinan061021024Huaxian061021025Huayin061021026Tongguan061021027Dali061021028Pucheng061021029Chengcheng061021030Baishui061021031Hancheng061021032Heyang061021033Fuping061022001Xianyang061022021Xingping061022022Zhouzhi061022023Huxian061022024Sanyuan061022025Jingyang061022026Gaoling061022027Qianxian061022028Liquan061022029Yongshou061022030Binxian061022031Changwu061022032Xuniyi061022033Chunhua061023001Hanzhong061023021Nanzhen061023022Chenggu061023023Yangxian061023024Xixiang061023025Mianxian061023026Ningqiang061023027Lueyang061023028Zhenba061023029Liuba061023030Foping061024021Ankang061024022Hanyin061024023Shiquan061024024Ningshan061024025Ziyang061024026Langao061024027Pingli061024028Zhenping061024029Xunyang061024030Baihe061025021Shangxian061025022Luonan061025023Danfeng061025024Shangnan061025025Shanyang061025026Zhen'An061025027Zhashui061026001Yan'An061026021Yanchang061026022Yanchuan061026023Zichang061026024Ansai061026025Zhidan061026026Wuqi061026027Guangquan061026028Fuxian061026029Luochuan061026030Yichuan061026031Huanglong061026032Huangling061026033Yinjun061027021Yulin061027022Shenmu061027023Fugu061027024Hengshan061027025Jingbian061027026Dingbian061027027Suide061027028Mizhi061027029Jiaxian061027030Wubu061027031Qingjian061027032Zizhou062001001Chengguan062001002Qilihe062001003Xigu062001004Anning062001011Honggu062001012Yongdeng062001021Gaolan062001022Yuzhong062001023Lanzhou city, unknown county062002000Jiayuguan062003001Jinchang City Urban062003021Jinchang062021001Yumen062021021Jiuquan062021022Dunhuang062021023Jinta062021026Anxi062021999Jiuquan prefecture, counties under 20,000 population062022021Zhangye062022022Sunan Yugur062022023Minle062022024Linze062022025Gaotai062022026Shandan062023021Wuwei062023022Minqin062023023Gulang062023024Jintai062023026Tianzhu Tibetan062024021Dingxi062024022Jingyuan062024023Huining062024024Tongwei062024025Longxi062024026Weiyuan062024027Lintao062025001Tianshui062025021Zhangjiangchuan Hui062025022Tianshui062025023Qingshui062025024Huixian062025025Liangdang062025026Lixian062025027Xihe062025028Wushan062025029Gangu062025030Qin'An062025031Zhangxian062026021Wudu062026022Minxian062026023Dangchang062026024Chengxian062026025Kangxian062026026Wenxian062027021Pingliang062027022Jingchuan062027023Lingtai062027024Chongxin062027025Huating062027026Zhuanglang062027027Jingning062028021Qingyang Prefecture062028022Huanxian062028023Huachi062028024Heshui062028025Zhengning062028026Ningxian062028027Zhenyuan062029021Linxia062029022Kangle062029023Yongjing062029024Guanghe062029025Hezheng062029026Dongxian062029027Jishishan Bao'An062030021Lintan062030022Jone062030023Zhuqu062030024Tewo062030025Maqu062030026Luqu062030027Xiahe063001001Cheng-Dong063001002Cheng-Xi063001003Cheng-Zhong063001011Xining City Suburbs063001021Datong063001098Qinghai063021021Ping'An063021022Minhe063021023Ledu063021024Huangzhong063021025Huangyuan063021026Huzhou Tu063021027Hualong Hui063021028Xunhua Salar063022021Menyuan Hui063022022Qilian063022023Haiyan063022024Gangca063023021Tongren063023022Jainca063023023Zekog063024021Nenan Mongolian063025021Gonghe063025022Tongde063025023Guide063025024Xinghai063025025Guinan063026021Maqen063026022Baima063026023Gade063026024Darlag, Madoi063026025Jigzhi063027021Yushu063027022Zadoi063027023Chindu063027024Zhidoi063027025Nangqen063027026Qumarleb063028001Golmud063028002Da Qaidam063028003Lenghu063028004Mangnai063028021Ulan063028022Dulan063028023Tianjun064001001Yinchuan City Urban064001002Xincheng064001011Yinchuan City Suburbs064001021Yongning064001022Helan064002001Dawukou064002002Shizuishan064002003Shihuijing064002011Shizuishan City Suburbs064002021Pingluo064002022Taole064021021Wuzhong064021022Qingtongxia064021023Zhongwei064021024Zhongning064021025Lingwu064021026Yanchi064021027Tongxin064022021Guyuan064022022Haiyuan064022023Xiji064022024Longde064022025Jingyuan065001001Tianshan065001002Shayibak065001003Xinshi065001004Shuimuoguo065001005Tuotunhe065001006Nanshan065001021Urumqi065002000Karamay065003000Shihezi065021021Turpan065021022Shanshan065021023Doksun065022001Hami065022021Hami065022022Darkol Kazak065022023Yiwu065023021Changji065023022Miquan065023023Hutubi065023024Manas065023025Qitai065023026Fukang065023027Jinsa065023028Mori Kazak065024001Yining065024002Kuytun065024021Yining065024022Qapqal Xibe065024023Huocheng065024024Gongliu065024025Xinyuan065024026Zhaosu065024027Tekes065024028Nilka065025021Tacheng065025022Emin065025023Usu065025024Shawan065025025Toli065025026Yumin065025027Hoboksar Mongolian065026021Altay065026022Burqin065026023Fuyun065026024Fuhai065026025Habahe065026026Qinghe065026027Jeminay065027021Bole065027022Jinghe065027023Wenquan065028001Korla065028021Korla065028022Luntai065028023Weili065028024Ruoqiang065028025Qiemo065028026Yanqi Hui065028027Hejing065028028Hoxud065028029Bohu065029021Aksu065029022Wensu065029023Kuqa065029024Xayar065029025Xinhe065029026Baicheng065029027Wushi065029028Awat065029029Kalpin065030021Artux065030022Akto065030023Akqi065030024Wuqia065031001Kashi065031021Shufu065031022Shule065031023Yengisar065031024Zepu065031025Shache065031026Yecheng065031027Matkit065031028Yopurga065031029Jiashi065031030Bachu065031031Takorgan Tajik065032021Hotan065032022Moyu065032023Pishan065032024Lop065032025Qira065032026Yutian065032027MinfengGeography: A-E 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 numberChina 1982: All householdsThis variable indicates the dwelling number of the household within the sample.This is a 7-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdChina 1982: All householdsNumber of persons in the household.011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030Technical Household Variables -- HOUSEHOLDDwelling created by splitting apart a large dwelling or householdChina 1982: All householdsHousehold created by splitting apart a large 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 splitChina 1982: All householdsNumber of persons in large household before it was split.00Not split3131323233333434353536363737393940404343444445454747494950508080Technical Household Variables -- HOUSEHOLDDonated dwellingChina 1982: All householdsDonated dwelling.0No problem1DonatedTechnical Household Variables -- HOUSEHOLDDonation strata: strata numberChina 1982: All householdsDonation strata: strata number.01102203304405506607708809910101111Technical Household Variables -- HOUSEHOLDNumber of births in household in 1981<svar v="CN82A006" a="all"><span class="h3">IV. No. of births in the household in 1981</span><br /><div class="i1">____ Total<br />____ Male<br />____ Female<br />_ _</div><br /></svar><svar v="CN82A006" a="all"><span class="h3">(4) Number of births in the household in 1981</span>. The number and sex of the babies born alive between O hour of January 1st, 1981 and 24 hours of December 31st, 1981 should be registered. Attention must be paid not to omit those live-born babies who died immediately after birth during this period; particularly those born that died immediately in hospitals. For the enumeration of the newly born population, attention must be paid to clearly demarcate the end of 1980 from the beginning of 1981 and the end of 1981 from the beginning of 1982. Try to avoid any confusion. Households without new born babies in 1981 should have "0" marked in the column of "Number of births in the household in 1981". There should be no omission. The figure should also be checked with the enumeration under "Bore the following in 1981" to avoid duplications and omissions.<br /></svar>China 1982: All householdsThis variable indicates the number of births in 1981.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434545464648484949505051515353545455556060616162626565707078787979808090909999Other Household Variables -- HOUSEHOLDNumber of deaths in household in 1981<svar v="CN82A007" a="all"><span class="h3">V. No. of deaths in the household in 1981</span><br /><div class="i1">____ Total<br />____ Male<br />____ Female<br />_ _</div><br /></svar><svar v="CN82A007" a="all"><span class="h3">(5) Number of deaths in the household in 1981.</span> Number of deaths occurring in the household between O hour of January 1st, 1981 to 24 hours of December 31st, 1981 and sex of the deceased should be written down in the questionnaire. If there is no death in the household mark a "0" in the column of "Number of deaths in the household". There should be no omission.<br /><br />With cases of birth or death that occurred in 1981 in this locality, but the family has moved to another place, then the births and deaths should be enumerated at the new residence.<br /><br />For the purpose of calculating the life expectancy of China's population, infant mortality rate and conduct population forecast, information on <span class="pg">[pg. 29]</span> death occurring between O hour of January 1st, 1981 to 24 hours of December 31st, 1981, should be recorded in the "Registration Form for Deaths in the Year of 1981" attached to the questionnaire, with production team or residents' group as a unit. The name, sex, age at death, date of birth, date of death and name of the head of the household should all be entered. An infant that died without a name should be put down as "not been given a name". When filling the attached form, the enumerators should make investigations among heads of production team or residents' group. Attention should be paid not to omit collective households here.<br /><br />In cases of death in a single person household and of a whole family that occurred in 1981, the production team or the residents' group should be held responsible for registering. Such died-out households should not be calculated in the tabulation of the total number of households. These forms should be placed at the end of the volume bound with production team or residents' group as a unit. Mind any omission of the recorded death figure in tabulation.<br /></svar>China 1982: All householdsThis variable indicates the number of deaths in the household in 1981.0000110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444448484949505051515353545456565959606063636969707075757777808081818282909096969797Other Household Variables -- HOUSEHOLDNumber of persons who had registered but were not living in the household in 1981<svar v="CN82A008" a="all"><span class="h3">VI. No. of registered persons absent over one year</span><br /><div class="i1">____ Total<br />____ Male<br />____ Female<br />_ _ _</div><br /></svar><svar v="CN82A008" a="all"><span class="h3">(6) Number of people with the permanent household registration but away for more than one year.</span> This refers to those who have permanent household registrations in the local county/city but have been away for more than one year. In addition to the number, their name and sex should also be entered in the column "annex: registration of persons with permanent household registration but absent over one year" on the right-hand side of the questionnaire. If there are more than four persons of this kind, fill in the "Continuation Form for Population with Permanent Household Registration but Away for More Than One Year", and glue it onto the questionnaire. If there are no such case in the household an "0" should be put down after the printed character of "total" under this topic.<br /><br />A household with all its members away for more than one year (i.e. "empty household") cannot be counted as one household in the tabulation. When bound into a volume with production team or residents' group as a unit, these questionnaires should be bound at the last pages. Take care not to omit the recorded number of people with permanent household registration but away for more than one year.<br /></svar>China 1982: All householdsThis variable indicates the number of persons who had registered but were not living in the household in 1981.0000001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126128128130130131131132132133133135135136136139139140140141141142142143143144144145145146146148148149149151151152152153153156156160160162162163163166166167167169169172172173173175175178178179179181181182182183183184184185185186186189189190190192192194194196196200200208208209209211211212212213213217217219219221221224224226226229229231231233233234234238238240240241241247247249249254254257257261261266266269269275275278278280280284284288288294294300300308308318318320320341341342342346346351351355355370370395395399399402402404404407407413413419419430430439439441441442442448448470470476476484484500500514514545545548548581581611611625625640640689689704704804804824824840840845845863863891891904904935935958958Other Household Variables -- HOUSEHOLDType of dwelling<svar v="CN82A009" a="all"><span class="h3">I. Household Type</span><br /><div class="i1">[] 1. Domestic HH.<br />[] 2. Collective HH.</div><br /></svar><svar v="CN82A009" a="all"><span class="h3">(1) Type of household.</span> Choose either domestic household or collective household accordingly. People living together in one family should be registered as one household and should not be looked upon as two, disregarding the fact that certain members might be working in a government <span class="pg">[pg. 28]</span> organization, an enterprise or an institution, or other members might be counted as rural population, or some members have commodity grain while other members have not. It is up to the public security organ to decide on the filling of the household registration booklet. For a collective household, a circle should be drawn on "2", the name of the collective household should also be written on the upper right-hand corner of the questionnaire following the "name of collective household".<br /></svar>China 1982: All householdsThis variable indicates the type of household record, domestic or collective.1Domestic household2Collective householdGroup Quarters Variables -- HOUSEHOLDStrataChina 1982: All householdsThis variable is the strata identifier for the sample. Strata is a constructed variable that captures the 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 -- 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 -- PERSONEthnicity, ChinaETHNICCN identifies the ethnic group to which the person claimed membership.01Han02Mongol03Hui04Tibetan05Ugur06Miao07Yi08Zhuang09Bouyi10Korean11Man12Dong13Yao14Bai15Tujia16Hani17Kazak18Dai19Li20Lisu21Va22She23Gaoshan24Lahu25Sui26Dongxiang27Naxi28Jingpo29Kirgiz30Tu31Daur32Mulam33Qiang34Bulang35Salar36Maonan37Gelao38Xibe39Achang40Pumi41Tajik42Nu43Uzbek44Russian45Ewenkei46Benglong47Baoan48Yugur49Gin50Tatar51Derung52Orogen53Hezhen54Monba55Lhoba56Jino99Other or unknownEthnicity and Language Variables -- PERSONLiteracyLIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational attainment, international recode [general version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational attainment, international recode [detailed version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- PERSONEducational attainment, ChinaThis variable indicates the highest educational level in China that the person had attended or completed.00Illiterate or semi-literate10Primary school11Primary, attending12Primary, did not graduate13Primary, completed19Primary, unknown20Junior middle school21Junior middle, attending22Junior middle, did not graduate23Junior middle, completed24Junior middle school, others29Junior middle, unknown30Secondary school31Academic secondary, attending32Academic secondary, did not graduate33Academic secondary, completed34Academic secondary, unknown35Technical secondary, attending36Technical secondary, did not graduate37Technical secondary, completed38Technical/special training others39Technical secondary, unknown40Some college/university (associate, bachelor, master, PhD)41Attending two-year college42Did not complete two-year college43Attending college/university44Did not complete college/university50Graduated from college/university51Completed two-year degree52Completed degree (bachelor, master, PhD)58College/diploma, others60Unknown level of college/university study61Unknown, two-year college62Unknown, college/university98Unknown99NIU (not in universe)Education Variables -- PERSONActivity status (employment status) [general version]EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".0NIU (not in universe)1Employed2Unemployed3Inactive9Unknown/missingWork Variables -- PERSONActivity status (employment status) [detailed version]EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".000NIU (not in universe)100Employed, not specified110At work111At work, and 'student'112At work, and 'housework'113At work, and 'seeking work'114At work, and 'retired'115At work, and 'no work'116At work, and other situation117At work, family holding, not specified118At work, family holding, not agricultural119At work, family holding, agricultural120Have job, not at work in reference period130Armed forces131Armed forces, at work132Armed forces, not at work in reference period133Military trainee140Marginally employed200Unemployed, not specified201Unemployed 6 or more months202Worked fewer than 6 months, permanent job203Worked fewer than 6 months, temporary job210Unemployed, experienced worker220Unemployed, new worker230No work available240Inactive unemployed300Inactive (not in labor force)301Unavailable jobseekers302Available potential jobseekers310Housework320Health reasons, unable to work, or disabled321Permanent disability322Temporary illness323Disabled or imprisoned330In school340Retirees and living on rent341Living on rents342Living on rents or pension343Retirees/pensioners344Retired345Pensioner346Non-retirement pension347Disability pension348Retired without benefits350Elderly351Elderly or disabled360Institutionalized361Prisoner370Intermittent worker371Not working, seasonal worker372Not working, occasional worker380Other income recipient390Inactive, other reasons391Too young to work392Dependent999Unknown/missingWork Variables -- PERSONLabor force participationLABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period.
For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor.1No, not in the labor force2Yes, in the labor force8Unknown9NIU (not in universe)Work Variables -- PERSONOccupation, ISCO generalOCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.01Legislators, senior officials and managers02Professionals03Technicians and associate professionals04Clerks05Service workers and shop and market sales06Skilled agricultural and fishery workers07Crafts and related trades workers08Plant and machine operators and assemblers09Elementary occupations10Armed forces11Other occupations, unspecified or n.e.c.97Response suppressed98Unknown99NIU (not in universe)Work Variables -- PERSONOccupation, unrecodedOCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit]
Argentina 1980 - see Variable: AR1980A_OCC - Occupation
Argentina 1991 - see Variable: AR1991A_OCC - Occupation
Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits)
Armenia 2011 - see Variable: AM2011A_OCC - Occupation
Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups
Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups
Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups
Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups
Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits
Belarus 2009 - see Variable: BY2009A_OCC - Occupation
Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits)
Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits)
Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits)
Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit)
Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits
Bolivia 1992 - see Variable: BO1992A_OCC - Occupation
Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits
Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit)
Botswana 1981 - see Variable: BW1981A_OCC - Occupation
Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days)
Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit
Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits
Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation
Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation
Brazil 1980 - see Variable: BR1980A_OCC - Occupation
Brazil 1991 - see Variable: BR1991A_OCC - Occupation
Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits
Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010
Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation
Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation
Cambodia 1998 - see Variable: KH1998A_OCC - Occupation
Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits)
Cambodia 2008 - see Variable: KH2008A_OCC - Occupation
Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits)
Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit
Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits)
Cameroon 2005 - see Variable: CM2005A_OCC - Occupation
Canada 1971 - see Variable: CA1971A_OCC - Occupation
Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis)
Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis)
Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics)
Canada 2011 - see Variable: CA2011A_OCC - Occupation
Chile 1960 - see Variable: CL1960A_OCC - Occupation
Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit)
Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit)
Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit)
Chile 2002 - see Variable: CL2002A_OCC - Occupation
China 1982 - see Variable: CN1982A_OCC - Occupation
China 1990 - see Variable: CN1990A_OCC - Occupation
China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit)
Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits)
Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week
Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits
Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits
Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits
Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit
Cuba 2002 - see Variable: CU2002A_OCC - Occupation
Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit)
Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation
Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation
Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation
Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation
Ecuador 1962 - see Variable: EC1962A_OCC - Occupation
Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits
Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits
Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits
Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits
Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08)
Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit)
Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit
El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit)
El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit)
Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit)
Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation
Fiji 1976 - see Variable: FJ1976A_OCC - Occupation
Fiji 1986 - see Variable: FJ1986A_OCC - Occupation
Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits)
Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits
Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits)
Finland 2010 - see Variable: FI2010A_OCC - Occupation
France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation
France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation
France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation
France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation
France 1990 - see Variable: FR1990A_SOCC - Saphir occupation
France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO
France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit)
France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories
Germany 1970 - see Variable: DE1970A_OCC - Occupation
Germany 1981 - see Variable: DE1981A_OCC - Occupation
Germany 1987 - see Variable: DE1987A_OCC - Occupation
Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits
Ghana 2000 - see Variable: GH2000A_OCC - Occupation
Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups)
Greece 1971 - see Variable: GR1971A_OCC - Occupation
Greece 1981 - see Variable: GR1981A_OCC - Occupation
Greece 1991 - see Variable: GR1991A_OCC - Occupation
Greece 2001 - see Variable: GR2001A_OCC - Occupation
Greece 2011 - see Variable: GR2011A_OCC - Occupation
Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits)
Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits)
Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits)
Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit)
Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits)
Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits
Guinea 1996 - see Variable: GN1996A_OCC - Occupation
Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit)
Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession
Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits
Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits)
Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits)
Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits)
Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit)
Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit)
Hungary 1970 - see Variable: HU1970A_OCC - Occupation
Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity
Hungary 1990 - see Variable: HU1990A_OCC - Occupation
Hungary 2001 - see Variable: HU2001A_OCC - Occupation
Hungary 2011 - see Variable: HU2011A_OCC - Occupation
Indonesia 1971 - see Variable: ID1971A_OCC - Occupation
Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week
Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version)
Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation
Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week
Indonesia 1995 - see Variable: ID1995A_OCC - Occupation
Indonesia 2005 - see Variable: ID2005A_OCC - Occupation
Iran 2006 - see Variable: IR2006A_OCC4 - Occupation
Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit)
Iraq 1997 - see Variable: IQ1997A_OCC - Occupation
Ireland 1971 - see Variable: IE1971A_OCC - Occupation
Ireland 1981 - see Variable: IE1981A_OCC - Occupation
Ireland 1986 - see Variable: IE1986A_OCC - Occupation group
Ireland 1991 - see Variable: IE1991A_OCC - Occupation group
Ireland 1996 - see Variable: IE1996A_OCC - Occupation
Ireland 2002 - see Variable: IE2002A_OCC - Occupation
Ireland 2006 - see Variable: IE2006A_OCC - Occupation group
Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled)
Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups)
Israel 1972 - see Variable: IL1972A_OCC - Occupation
Israel 1983 - see Variable: IL1983A_OCC - Occupation
Israel 1995 - see Variable: IL1995A_OCC - Occupation
Israel 2008 - see Variable: IL2008A_OCC - Occupation
Italy 2001 - see Variable: IT2001A_OCC - Occupation
Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work
Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job
Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job
Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit
Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit)
Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits
Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit)
Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity
Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit)
Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits)
Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits)
Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit)
Liberia 2008 - see Variable: LR2008A_OCC - Occupation
Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit
Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit
Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits)
Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit)
Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week
Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits)
Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits
Mali 1987 - see Variable: ML1987A_OCC - Occupation last month
Mali 1998 - see Variable: ML1998A_OCC - Main occupation
Mali 2009 - see Variable: ML2009A_OCC - Principal occupation
Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit)
Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit)
Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit)
Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits
Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit
Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits
Mexico 1995 - see Variable: MX1995A_OCC - Occupation
Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits
Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade
Mexico 2015 - see Variable: MX2015A_OCC - Occupation
Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits)
Mongolia 2000 - see Variable: MN2000A_OCC - Occupation
Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008)
Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit)
Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit)
Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit
Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit)
Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit)
Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit
Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation
Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008)
Myanmar 2014 - see Variable: MM2014A_OCC - Occupation
Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation
Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit)
Netherlands 1960 - see Variable: NL1960A_OCC - Occupation
Netherlands 1971 - see Variable: NL1971A_OCC - Occupation
Netherlands 2001 - see Variable: NL2001A_OCC - Occupation
Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit)
Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation
Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits)
Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation
Palestine 1997 - see Variable: PS1997A_OCC - Main occupation
Palestine 2007 - see Variable: PS2007A_OCC - Main occupation
Palestine 2017 - see Variable: PS2017A_OCC - Occupation
Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit)
Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit
Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit)
Panama 1990 - see Variable: PA1990A_OCC - Occupation
Panama 2000 - see Variable: PA2000A_OCC - Occupation
Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits
Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits
Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation
Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit)
Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit)
Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits)
Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits
Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits
Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits)
Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits)
Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits)
Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week)
Philippines 1990 - see Variable: PH1990A_OCC - Occupation
Philippines 2000 - see Variable: PH2000A_OCC - Occupation
Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit)
Poland 1978 - see Variable: PL1978A_OCC - Occupation
Poland 1988 - see Variable: PL1988A_OCC - Main occupation
Poland 2002 - see Variable: PL2002A_OCC - Occupation
Portugal 1981 - see Variable: PT1981A_OCC - Main occupation
Portugal 1991 - see Variable: PT1991A_OCC - Main occupation
Portugal 2001 - see Variable: PT2001A_OCC - Main occupation
Portugal 2011 - see Variable: PT2011A_OCC - Main occupation
Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation
Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation
Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation
Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation
Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation
Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation
Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week
Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis
Romania 1992 - see Variable: RO1992A_OCC - Occupation
Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits
Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded)
Rwanda 2002 - see Variable: RW2002A_OCC - Occupation
Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation
Senegal 1988 - see Variable: SN1988A_OCC - Occupation
Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits
Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation
Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months
Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit)
Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit)
Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit)
Slovenia 2002 - see Variable: SI2002A_OCC - Occupation
South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits
South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit
South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits
South Sudan 2008 - see Variable: SS2008A_OCC - Occupation
Spain 1981 - see Variable: ES1981A_OCC - Occupation
Spain 1991 - see Variable: ES1991A_OCC - Occupation
Spain 2001 - see Variable: ES2001A_OCC - Occupation
Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits
Sudan 2008 - see Variable: SD2008A_OCC - Occupation
Suriname 2004 - see Variable: SR2004A_OCC - Occupation
Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups)
Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO)
Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM)
Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08)
Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation
Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week
Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation
Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year
Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year
Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year
Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits
Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits)
Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits)
Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits)
Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits)
Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit)
Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits)
Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit
Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits
Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits
Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits)
United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation
United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation
United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification
United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor
United States 1960 - see Variable: US1960A_OCC - Occupation
United States 1970 - see Variable: US1970A_OCC - Occupation
United States 1980 - see Variable: US1980A_OCC - Occupation
United States 1990 - see Variable: US1990A_OCC - Occupation
United States 2000 - see Variable: US2000A_OCC - Occupation
United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment
United States 2010 - see Variable: US2010A_OCC - Occupation
United States 2015 - see Variable: US2015A_OCC - Occupation last week
United States 2020 - see Variable: US2020A_OCC - Occupation last week
Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit]
Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits)
Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week
Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits)
Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits)
Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits
Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits
Venezuela 2001 - see Variable: VE2001A_OCC - Occupation
Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits
Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit
Vietnam 2009 - see Variable: VN2009A_OCC - Occupation
Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit
Zambia 1990 - see Variable: ZM1990A_OCC - Occupation
Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits
Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits
Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits)
Work Variables -- PERSONIndustry, general recodeINDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.000NIU (not in universe)010Agriculture, fishing, and forestry020Mining and extraction030Manufacturing040Electricity, gas, water and waste management050Construction060Wholesale and retail trade070Hotels and restaurants080Transportation, storage, and communications090Financial services and insurance100Public administration and defense110Services, not specified111Business services and real estate112Education113Health and social work114Other services120Private household services130Other industry, n.e.c.998Response suppressed999UnknownWork Variables -- PERSONIndustry, unrecoded"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit]
Argentina 1980 - see Variable: AR1980A_IND - Industry
Argentina 1991 - see Variable: AR1991A_IND - Industry
Argentina 2001 - see Variable: AR2001A_IND - Industry
Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work
Armenia 2011 - see Variable: AM2011A_IND - Industry
Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch
Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch
Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch
Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch
Austria 2011 - see Variable: AT2011A_IND - Industry
Bangladesh 1991 - see Variable: BD1991A_IND - Industry
Bangladesh 2001 - see Variable: BD2001A_IND - Main work field
Bangladesh 2011 - see Variable: BD2011A_IND - Industry
Belarus 2009 - see Variable: BY2009A_ECONACT - Industry
Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit)
Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits)
Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits)
Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit)
Bolivia 1976 - see Variable: BO1976A_IND - Industry
Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits
Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits
Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit)
Botswana 1981 - see Variable: BW1981A_IND - Industry
Botswana 1991 - see Variable: BW1991A_IND - Industry
Botswana 2001 - see Variable: BW2001A_IND - Industry
Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits
Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry
Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry
Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry
Brazil 1991 - see Variable: BR1991A_IND - Industry
Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits
Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010
Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity
Cambodia 1998 - see Variable: KH1998A_IND - Industry
Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits)
Cambodia 2008 - see Variable: KH2008A_IND - Industry
Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits)
Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit)
Cameroon 2005 - see Variable: CM2005A_IND - Industry
Canada 1971 - see Variable: CA1971A_IND - Industry
Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification)
Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification)
Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification)
Canada 2011 - see Variable: CA2011A_IND - Industry
Chile 1960 - see Variable: CL1960A_IND - Industry
Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit)
Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit)
Chile 1992 - see Variable: CL1992A_IND - Industry
Chile 2002 - see Variable: CL2002A_IND - Industry
Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit)
China 1982 - see Variable: CN1982A_INDUSTRY - Industry
China 1990 - see Variable: CN1990A_IND - Industry
China 2000 - see Variable: CN2000A_IND - Industry (2-digit)
Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits
Colombia 1973 - see Variable: CO1973A_IND - Industry
Colombia 1993 - see Variable: CO1993A_IND - Industry
Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit)
Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits
Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits
Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits
Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits
Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit
Cuba 2002 - see Variable: CU2002A_IND - Industry
Cuba 2012 - see Variable: CU2012A_IND - Industry
Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed)
Dominican Republic 1960 - see Variable: DO1960A_IND - Industry
Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit)
Dominican Republic 2002 - see Variable: DO2002A_IND - Industry
Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business
Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits
Ecuador 1982 - see Variable: EC1982A_IND3 - Industry
Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits
Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits
Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4)
Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit)
Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC)
Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit
El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit)
El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit)
Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry
Ethiopia 1994 - see Variable: ET1994A_IND - Industry
Fiji 1966 - see Variable: FJ1966A_IND - Industry
Fiji 1976 - see Variable: FJ1976A_IND - Industry
Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits
Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits)
Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits
Fiji 2014 - see Variable: FJ2014A_IND - Industry
Finland 2010 - see Variable: FI2010A_IND - Industry
France 1962 - see Variable: FR1962A_IND - Industry
France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories
France 1975 - see Variable: FR1975A_INDUN - Industry, UNO
France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature
France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories
France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC
France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode
France 2011 - see Variable: FR2011A_IND - Industry, 732 categories
Germany 1970 - see Variable: DE1970A_IND - Industry
Germany 1971 - see Variable: DE1971A_IND - Industry
Germany 1981 - see Variable: DE1981A_IND - Industry
Germany 1987 - see Variable: DE1987A_IND - Industry
Ghana 2000 - see Variable: GH2000A_IND - Industry
Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups)
Greece 1971 - see Variable: GR1971A_IND - Industry
Greece 1981 - see Variable: GR1981A_IND - Industry
Greece 1991 - see Variable: GR1991A_IND - Industry
Greece 2001 - see Variable: GR2001A_IND - Industry
Greece 2011 - see Variable: GR2011A_IND - Industry
Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits)
Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits)
Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits)
Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits)
Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit)
Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits
Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit)
Haiti 1982 - see Variable: HT1982A_IND - Branch of work
Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits
Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits)
Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits)
Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit)
Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit)
Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy
Hungary 2011 - see Variable: HU2011A_IND - Industry
Indonesia 1971 - see Variable: ID1971A_IND - Industry
Indonesia 1976 - see Variable: ID1976A_IND - Industry
Indonesia 1980 - see Variable: ID1980A_IND - Industry
Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation
Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week
Indonesia 1995 - see Variable: ID1995A_IND - Industry
Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation
Indonesia 2005 - see Variable: ID2005A_IND - Industry
Indonesia 2010 - see Variable: ID2010A_IND - Industry
Iran 2006 - see Variable: IR2006A_IND4 - Industry
Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit)
Iraq 1997 - see Variable: IQ1997A_IND - Industry
Ireland 1971 - see Variable: IE1971A_IND - Industry
Ireland 1981 - see Variable: IE1981A_IND - Industry class
Ireland 1986 - see Variable: IE1986A_IND - Industry class
Ireland 1991 - see Variable: IE1991A_IND - Industry class
Ireland 1996 - see Variable: IE1996A_IND - Industry class
Ireland 2002 - see Variable: IE2002A_IND - Industry class
Ireland 2006 - see Variable: IE2006A_IND - Industry class
Ireland 2011 - see Variable: IE2011A_IND - Industry
Ireland 2016 - see Variable: IE2016A_IND - Industry
Israel 1972 - see Variable: IL1972A_IND - Industry
Israel 1983 - see Variable: IL1983A_IND - Industry
Israel 1995 - see Variable: IL1995A_IND - Industry
Israel 2008 - see Variable: IL2008A_IND - Branch of economy
Italy 2001 - see Variable: IT2001A_IND - Industry
Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity
Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job
Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits
Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit
Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment
Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section
Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in
Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization
Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit)
Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit)
Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4)
Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits)
Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit)
Liberia 2008 - see Variable: LR2008A_IND - Industry
Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit
Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit
Malawi 2008 - see Variable: MW2008A_IND2 - Main industry
Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit)
Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week
Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits)
Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits
Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month
Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity
Mali 2009 - see Variable: ML2009A_IND - Industry
Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit)
Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit)
Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit)
Mexico 1960 - see Variable: MX1960A_IND - Industry
Mexico 1970 - see Variable: MX1970A_IND - Industry
Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits
Mexico 1995 - see Variable: MX1995A_IND - Industry
Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits
Mexico 2010 - see Variable: MX2010A_IND - Industry
Mexico 2015 - see Variable: MX2015A_IND - Industry
Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits)
Mongolia 2000 - see Variable: MN2000A_IND - Industry
Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4)
Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit)
Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit)
Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits)
Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit)
Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit)
Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry
Mozambique 2007 - see Variable: MZ2007A_IND - Industry
Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2)
Myanmar 2014 - see Variable: MM2014A_IND - Industry
Nepal 2001 - see Variable: NP2001A_IND - Usual industry
Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit)
Netherlands 1960 - see Variable: NL1960A_IND - Industry
Netherlands 1971 - see Variable: NL1971A_IND - Industry
Netherlands 2001 - see Variable: NL2001A_IND - Industry
Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit)
Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits
Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits))
Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit
Palestine 1997 - see Variable: PS1997A_IND - Industry
Palestine 2007 - see Variable: PS2007A_IND - Industry
Palestine 2017 - see Variable: PS2017A_IND - Industry
Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit)
Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit]
Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit
Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits
Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits
Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits
Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits
Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit)
Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits)
Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits)
Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits
Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits
Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits)
Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits)
Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits)
Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week)
Philippines 1990 - see Variable: PH1990A_IND - Industry
Philippines 1995 - see Variable: PH1995A_IND - Industry
Philippines 2000 - see Variable: PH2000A_IND - Industry
Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit)
Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support)
Poland 2002 - see Variable: PL2002A_IND - Industry (main employer)
Portugal 1981 - see Variable: PT1981A_IND - Industry
Portugal 1991 - see Variable: PT1991A_IND - Industry
Portugal 2001 - see Variable: PT2001A_IND - Industry
Portugal 2011 - see Variable: PT2011A_IND - Industry
Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis
Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis
Puerto Rico 1990 - see Variable: PR1990A_IND - Industry
Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis
Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis
Puerto Rico 2010 - see Variable: PR2010A_IND - Industry
Puerto Rico 2015 - see Variable: PR2015A_IND - Industry
Puerto Rico 2020 - see Variable: PR2020A_IND - Industry
Romania 1977 - see Variable: RO1977A_IND - Industry of supporter
Romania 1977 - see Variable: RO1977A_WKACT - Activity category
Romania 1992 - see Variable: RO1992A_IND - Industry
Romania 2002 - see Variable: RO2002A_IND - Industry
Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories)
Rwanda 2002 - see Variable: RW2002A_IND - Industry
Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit
Senegal 1988 - see Variable: SN1988A_IND - Industry
Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_IND - Industry
Slovenia 2002 - see Variable: SI2002A_IND - Industry
South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits
South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit
South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit
South Sudan 2008 - see Variable: SS2008A_IND - Industry
Spain 1981 - see Variable: ES1981A_IND - Industry
Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment
Spain 2001 - see Variable: ES2001A_IND - Industry
Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits
Sudan 2008 - see Variable: SD2008A_IND - Industry
Suriname 2004 - see Variable: SR2004A_IND - Industry
Suriname 2012 - see Variable: SR2012A_IND - Industry (groups)
Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry)
Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry)
Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry)
Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry)
Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit)
Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week
Tanzania 2012 - see Variable: TZ2012A_IND - Industry
Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year
Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year
Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits
Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits
Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit)
Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry
Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits)
Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit)
Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits)
Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit
Uganda 2002 - see Variable: UG2002A_IND - Industry
United Kingdom 1961 - see Variable: UK1961A_IND - Industry
United Kingdom 1971 - see Variable: UK1971A_IND - Industry
United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification
United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification
United States 1960 - see Variable: US1960A_IND - Industry
United States 1970 - see Variable: US1970A_IND - Industry
United States 1980 - see Variable: US1980A_IND - Industry
United States 1990 - see Variable: US1990A_IND - Industry
United States 2000 - see Variable: US2000A_IND - Industry
United States 2005 - see Variable: US2005A_IND - Industry
United States 2010 - see Variable: US2010A_IND - Industry
United States 2015 - see Variable: US2015A_IND - Industry
United States 2020 - see Variable: US2020A_IND - Industry
Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit]
Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week
Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits)
Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits)
Venezuela 1981 - see Variable: VE1981A_IND - Industry
Venezuela 1990 - see Variable: VE1990A_IND - Industry
Venezuela 2001 - see Variable: VE2001A_IND - Industry
Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits
Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit
Vietnam 2009 - see Variable: VN2009A_IND - Industry
Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit
Zambia 1990 - see Variable: ZM1990A_IND - Industry
Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits
Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits
Work Variables -- PERSONPerson number (within household)China 1982: All personsPerson number within the household.00Household record011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030Technical Person Variables -- PERSONRelationship to household head<svar v="CN82A401" a="all"><span class="h3">II. Relationship to head of household</span><br /><div class="i1">[] 1. Head of household<br />[] 2. Spouse<br />[] 3. Child<br />[] 4. Grandchild<br />[] 5. Parent<br />[] 6. Grandparent<br />[] 7. Other relative<br />[] 8. Other non-relative</div><br /></svar><svar v="CN82A401" a="all"><span class="em">2. Relationship to the head of household</span>: Draw a circle on the code before "head of household" for the first person recorded in the family. Other members are identified according to their respective relationship to the head of household. When the respondent is not the head of household, remember not to make such a mistake as recording the relationship from the standpoint of the respondent. That is, if the respondent is the son of the head of household, be sure not to circle "parent" to identify the relationship of the spouse of the head of household from the standpoint of the respondent instead of from the head of household.<br /><br />In the answer categories under this topic, "child" includes son-in-law/ daughter-in-law. "Grandchild" includes grandson-in-law/granddaughter-in-law, great-grandson/great-granddaughter and great-grandson-in-law/ great-granddaughter-in-law. "Parent" includes father-in-law/mother-in-law. "Grandparent" includes grandparent and great-grandparent-in-law. Circle "7" for brother, sister, aunt, cousin and other relatives. Circle "8" for housekeeper, colleague, schoolmate and other non-relatives. The relationship to each other in a collective household is to be circled as non-relatives.<br /><br />When the head of household has been away for more than one year, another person should be appointed by this family to replace him/her, and recorded at the number one person's place. The relationship of other members to the new head of household should be identified accordingly. For the convenience of circling, the order of categories and their codes under this topic are not arranged by the seniority in family, but in the light of the structure of most families (generally, it is formed by the head of household, his/her spouse and their children, there are not many cases in which three/four generations live together). Explanation should be given if somebody misunderstands it as disrespect to elders.<br /></svar>China 1982: All personsThis variable indicates the person's relationship to the head of the household.1Head of household2Spouse3Child4Grandchild5Parent6Grandparent7Other relative8Non-relativeDemographic Variables -- PERSONSex<svar v="CN82A402" a="all"><span class="h3">III. Sex</span><br /><div class="i1">[] 1. Male<br />[] 2. Female</div><br /></svar><svar v="CN82A402" a="all"><span class="em">3. Sex</span>. Circle "male" or "female" as appropriate. "1" for male, "2" for female.<br /></svar>China 1982: All personsThis variable indicates the person's gender.1Male2FemaleDemographic Variables -- PERSONAge<svar v="CN82A403" a="all"><span class="h3">IV. Age</span><br /><div class="i1">Date of birth<br />____ Year<br />____ Month<br />____ Day<br />____ Years of Age<br />_ _ _</div><br /></svar><svar v="CN82A403" a="all"><span class="em">4. Age</span>. With regard to the date, month and year of birth, the Gregorian calendar is recommended. If it is recorded in Lunar calendar, fill in the questionnaire as it is, and conversion is not needed. Complete years of age is counted from the date of birth to the reference time. Just write down the number of years as counted, leave out the months. For example, for a child who is two years, eleven months and twenty-nine days old, "2" should be placed preceding the printed characters of "years of age"; for an eight-month-old baby, "0" is put before the printed characters of "years of age". Those who only know their nominal age <span class="pg">[pg. 22]</span> or zodiac sign or the sexagenary cycle may work out their complete years of age in reference to the "Age Conversion Table". The date of birth and the complete years of age should be written in Arabic numerals.<br /></svar>China 1982: All personsThis variable indicates the age of the individual.000Less than 1001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999998UnknownDemographic Variables -- PERSONEthnicity<svar v="CN82A404" a="all"><span class="h3">V. Nationality</span><br /><div class="i1">____<br />_ _</div><br /></svar><svar v="CN82A404" a="all"><span class="em">5. Nationality [Ethnicity]</span>. Consult the "List of Nationalities" and record the answer. Take the name of the nationality the person belongs to. If one belongs to Hui nationality, put a "Hui" before the printed character of "nationality". Follow the name given in the list even if there is a different name locally. For those nationalities not included in the list, just record the name popular among themselves. Abbreviations should not be used here. For instance [Chinese characters shown] (Ewenki) nationality should not be shortened into [Chinese characters shown] nationality, because there is another nationality called [Chinese characters] (Oroqen).<br /><br />If the parents are not of the same nationality, it is up to them to decide the nationality of their child under age 18. Persons above 18 are to choose their father's or their mother's nationality by themselves. According to the stipulations in the "Circular Concerning the Principle for Handling the Cases of Resuming and Changing Nationality" issued by the State Commission on Nationalities Affairs, the Population Census Leading Group Under the State Council and the Ministry of Public Security on November 28, 1981, those who want to resume or change their nationalities should go through the formalities at the household registration organs before June 30, 1982. A foreigner who has acquired Chinese citizenship, if his/her original nationality is the same as one of ours, should fill out this column with this one. For example, a Korean having acquired Chinese citizenship should put down Korean nationality in the questionnaire. Otherwise, just fill it with "acquired citizenship", a short form for a foreigner having acquired Chinese citizenship.<br /></svar>China 1982: All personsThis variable indicates the ethnicity of the person.01Han02Mongol03Hui04Tibetan05Uygur06Miao07Yi08Zhuang09Bouyi10Korean11Man12Dong13Yao14Bai15Tujia16Hani17Kazak18Dai19Li20Lisu21Va22She23Gaoshan24Lahu25Sui26Dongxiang27Naxi28Jingpo29Kirgiz30Tu31Daur32Mulam33Qiang34Bulang35Salar36Maonan37Gelao38Xibe39Achang40Pumi41Tajik42Nu43Uzbek44Russian45Ewenkei46Benglong47Baoan48Yugur49Gin50Tatar51Derung52Orogen53Hezhen54monba55Lhoba56Jino96Other Unidentified97Naturalized Foreigners98UnknownEthnicity and Language Variables -- PERSONRegistration status<svar v="CN82A405" a="all"><span class="h3">VI. Registration Status</span><br /><div class="i1">[] 1. Residing and registered here<br />[] 2. Residing here over 1 year but registered elsewhere<br />[] 3. Residing here less than 1 year absent from the registration place over 1 year<br />[] 4. Living here with registration unsettled<br />[] 5. Used to reside here; is abroad with no registration</div><br /></svar><svar v="CN82A405" a="all"><span class="em">6. Household registration status of the permanent residence</span>. Circle the answer as applicable. Part I of the Instructions gives the explanation for what each of the five answer categories under this topic refers to.<br /></svar>China 1982: All personsThis variable indicates the relationship between registration status (permanent residence) and the enumeration place.1Residing and registered here2Residing here over 1 year, but registered elsewhere.3Residing here less than 1 year, absent from the registration place 1 year or more.4Living here with registration unsettled5Used to reside here; is now abroad with no local registrationOther Person Variables -- PERSONEducation level<svar v="CN82A406" a="all"><span class="h1">Persons aged 6 and above</span><br /><span class="h3">VII. Educational level</span><br /><div class="i1">[] 1. College graduate<br />[] 2. Undergraduate<br />[] 3 Senior middle school<br />[] 4. Junior middle school<br />[] 5. Primary school<br />[] 6. Illiterate or semi-literate</div><br /></svar><svar v="CN82A406" a="all"><span class="em">7. Educational level</span>. People age 6 and above should provide the information on the topic according to their last record of formal schooling at the reference time, or their schooling equivalent to their present educational level. University level is divided into two categories: graduate and undergraduate. Undergraduate refers to one who once studied at university but did not finish. Postgraduates should draw a circle on "Graduate". Make no distinction between "graduate" and "undergraduate" when the educational level involved is senior middle school and <span class="pg">[pg. 23]</span> below. For instance, people who have graduated from, or studied, or are studying at the senior middle school, all circle on "Senior middle school".<br /><br />"University" includes colleges and junior colleges. People who have passed examination and obtained a certificate through self-study and taken advanced courses of a university curriculum can also be considered as "Graduate". Radio and television university, factory-run university, correspondence and night courses, and courses of other forms run by university can be regarded as universities only if they follow the teaching plan or programme (full course) of the college; those which follow the teaching plan or programme of the secondary vocational or technical school are regarded as secondary vocational schools or secondary technical schools. Those who take a single radio, T.V. or correspondence course should not be marked down as having a university education. Those who are studying or have graduated from secondary technical school should be classified in senior middle school. Those of vocational school at junior middle school level should be classified in junior middle school and vocational school of senior middle school level should be classified in senior middle school. Those who are studying in or have graduated from secondary technical school after having graduated from senior middle school still mark themselves down as senior middle school. The enumerator may choose a certain educational level for those who studied under private tutors according to his or her own declaration.<br /><br />People age 6 and above who are illiterate or know less than 1,500 words with which they cannot read simple language books and newspapers or write a simple message, should circle on "illiterate or semi-literate". People who know more than 1,500 words and can read simple language books and newspapers and write simple message, are considered as having reached non-illiterate level. They may be put down as having primary school level.<br /><br />According to state stipulations, people age 12 years and above who declare themselves to be "illiterate or know only a few words" should be counted as illiterate or semi-literate. Some people between age 6 and 11, who mark themselves down as "illiterate or semi-literate", would not be counted as such in tabulations.<br /></svar>China 1982: Persons age 6+ [discrepancies: none]This variable indicates the person's education level.0NIU (not in universe)1College/university graduate2Some college/university3Senior middle school (secondary)4Junior middle school5Primary school6Illiterate or semi-literate9UnknownEducation Variables -- PERSONIndustry<svar v="CN82A407 CN82A408 CN82A409 CN82A410" a="all"><span class="h1">Persons aged 15 and above</span><br />[Applies to questions VIII - XI]<br /></svar></p>
<p><svar v="CN82A407" a="all"><span class="h3">VIII. Industry</span><br /><div class="i1">____<br />_ _ _</div><br /></svar><svar v="CN82A407" a="all"><span class="em">8. Industry</span>. People who are fully 15 years old or above with an occupation should declare the industry he/she is engaged in. The working population refers to those who derive an income from a certain kind of social labor or business. China's employment policy is one of <span class="pg">[pg. 24]</span> "combining employment through the introduction of labor department, employment through voluntary organization, and self -employment under the state's overall planning and guidance". Anybody who gets a job through any of the three means, whether he/she is employed in a unit of the state or collective ownership or self-employed and whether the job is a regular or a temporary one, should be considered as employed persons. They include:<br /><br /><div class="i1">(1) Those people who hold a regular job at the census reference time. They may be working at their posts, being away from work due to illness or injury, away on holiday, temporarily recuperating, doing temporary study, undergoing labor-reform, or being temporarily prevented from working as a result of bad weather, technical trouble, seasonal work stoppage or enterprise readjustment, However, they do not include such person who left work to study full time at institutions of higher learning, radio and television universities. Retired workers and staff who still participate in social labor one month before the reference time and earn an extra income which together with his/her pension makes up to 100% of the original pay should be regarded as working people. Retired cadres should circle number 6 "retired or resigned" under the topic of non-working people.<br /><br />(2) Those who do not have a regular job. Anyone with a temporary job on June 30th, 1982, and have participated in social labor for an accumulative period of 16 days in June should be regarded as employed. Their occupations may be qualified with the word "temporary" when filling in the form. For example, temporary bricklayers, etc.</div><br /><br />Under the topic of industry, employees should fill in the full name of his/her establishment (including private ones). The name of the establishment should be an independent accounting unit whether of state ownership or collective ownership. When referring to a state-owned complex or large scale factory/mine (e.g. a company, an associated plant etc.), the name of the secondary unit (e.g. a factory, an affiliated factory etc.) should be made clear. For instance, X X Iron Works of X X Iron and Steel Company, X X Poultry/Eggs Department of X X Agriculture-Industry-Commerce Joint Enterprise. For commune members, the industry should be recorded as: X X Agricultural Production Team, X X Forestry Production Team and X X Animal Husbandry Production Team. Self-employed laborer should put down the same name marked on their signboard, e.g. "Wang's Teahouse". If there is not a signboard, the form should be filled in with the business they are engaging in, e.g. "private teastand", "private vegetable <span class="pg">[pg. 25]</span> vendor", etc. In the case of an individual or an enterprise doing two or more kinds of work concurrently, the work on which most of the time is spent is accepted as the industry.<br /></svar>China 1982: Employed persons age 15+ [discrepancies: none]This variable indicates the person's industry of employment.000NIU (not in universe)011Food crops012Cash crops013Vegetables, gourd and melons014Pomiculture015Special crops016Agricultural services019Other agricultural sectors021Livestock raising022Poultry raising023Livestock raising services029Small animal raising, hunting and others030Forestry041Aquatic animal and plant raising042Fishing for aquatic animals and plants060Coal mining and dressing070Petroleum and natural gas industry081Ferrous metal mining082Non-ferrous metal mining 083Non-ferrous metal mining (2)084Rare metal mining and rare earth mining091Earth, sand and stone mining092Chemical ores mining093Salt mining098Other non-metal mining 099Other non-metal mining (2)120Logging and transportation141Production and supply of electric power142Production supply of steam and hot water150Production and supply of gas160Production and supply of pipewater181Grain processing182Vegetable oil processing183Pastry and candy184Sugar production185Animal slaughtering and meat processing186Egg products187Dairy188Undocumented191Canned food192Salt processing193Undocumented199Production of other kinds of food201Alcoholic beverages202Soft drinks203Tea processing210Tobacco231Raw fiber material processing232Cotton spinning and weaving 233Cotton spinning and weaving (2)234Wool spinning and weaving235Flax spinning and weaving236Silk237Knitting239Other textile manufacturing241Garments242Headwear243Shoes249Repair services and others251Hide tanning252Leather products253Fur tanning and fur products259Leather and fur products repair261Lumber milling262Wood composition products263Other timber manufacturing270Furniture industry281Pulp Production282Paper production283Other paper products291Cultural and educational supplies and sporting goods292Arts and crafts 293Arts and crafts (2)294Printing industry311Primary chemical materials312Chemical fertilizers313Pesticides314Organic chemical industry315Chemical fiber industry316Chemical products for daily use319Others (chemical industry)331Primary chemical materials332Chemical medicine333Traditional Chinese medicine334Veterinary medicine341Rubber products342Plastic products361Crude oil processing362Artificial petroleum363Coal products369Other petroleum and coal products371Cement372Brick, tile and stone for construction373Glass products374Ceramics375Refractory materials379Other non-metal mineral products391Ferrous metal metallurgy and processing392Non-ferrous metal metallurgy and processing393Metallurgy and processing (undocumented)394Rare metal and rare earth metal, metallurgy and processing401Metal structures and metal structural components402Clamping and punching products403Metal wiring404Small farm tolls405Metal products for construction406Enamel products407Hardware for daily use408Metal surface treatments and heat treatments419Other metal products and repair services421Boiler and their motors422Metal processing machinery423Special industrial equipment 424Special industrial equipment (2)425Machinery for agriculture, forestry, animal husbandry and fishery426Construction machinery427Special geological equipment428General equipment 429General equipment (2)430Cast semi-finished products431Machinery for making daily use articles439Other kinds of machinery and repair services441Electrical power generators, distributors and electric machinery442Communication equipment443Home appliances444Miscellaneous electrical appliances445Radar446Broadcasting and telecasting equipment447Televisions, tape recorders and audio amplifiers448Computers449Electronic components450Electronics (undocumented)451Miscellaneous electronic appliances459Repair services for electric and electronic products471Railway transportation machinery472Automobiles473Trolley buses474Boats and ships475Aircrafts479Other transport machinery481Measuring tools and instruments482Balances483Timers484Testers and flaw detectors485Medical apparatus486Optical apparatus and instruments487Movie apparatus and cameras488Industrial automation meters489Electric instruments490Electronic and wireless measuring instruments491Analytical instrument492Testing instruments and apparatus493Special instruments499Other precision machinery and instruments and repair services500Other manufacturing industries and repair services511Mineral geological survey512Petroleum geological survey513Marine geological survey514Hydrological, construction, and environmental geological survey515Regional geological survey516Geophysics and chemical mineral prospecting517Geological mapping518Technical services for mineral prospecting520Civil engineering530Installation of utility distribution systems and equipment540Survey design550Construction preparation581Railway transportation582Highway transportation583Pipe transportation584Water transportation585Air transportation586Porterage591Postal services592Telecommunications593Postal and telecommunications services601Domestic trade602Foreign trade610Food services620Material and commodity supply services630Storage services640Real estate services651Landscaping and management of public parks and national monuments652Cleaning and sanitary services653Sewage discharge and treatments654Funeral, crematoria and mortuary services659Others public facilities661Hotels662Tourism663Barber shops664Public baths665Residential services (undocumented)669Others691Hospitals692Sanitarium693Clinics694Public health infection control units695Vaccination and health inspection stations696Maternal and child health care centers697Medical examination centers699Other health services700Sports710Social welfare services751Higher education752Middle-level education753Elementary-level education754Preschool-level education755Special educational programs756Educational programs for working staff members or farmers759Other (education)761Movies762Arts763Libraries764Mass culture765Broadcasting and telecasting766News767Publishing768Cultural relics779Other culture and arts801Natural science research802Social science research803Integrated scientific research810Integrated technical services840Finance850Insurance880State organs890Political party organs900Mass organizations910Management agencies of enterprises998Other enterprises999UnknownWork: Industry Variables -- PERSONOccupation<svar v="CN82A407 CN82A408 CN82A409 CN82A410" a="all"><span class="h1">Persons aged 15 and above</span><br />[Applies to questions VIII - XI]<br /></svar></p>
<p><svar v="CN82A408" a="all"><span class="h3">IX. Occupation</span><br /><div class="i1">____<br />_ _ _</div><br /></svar><svar v="CN82A408" a="all"><span class="em">9. Occupation</span>. Working people age 15 and above should report their occupation. Under this topic, specific types of work these people are doing should be written down. For example, workers should register as "spinner", "fitter", "typesetter", "driver", etc. Peasants should register as "grain grower", "cotton grower", "pig breeder", "poultry raiser", etc. Commercial and service trades personnel may be identified as "shop assistant", "chef", "conductor", etc. Government staff may be classified as "X X section chief", "typist", etc. The answer should not be in such general terms as "workers", "peasants", or "cadres".<br /><br />When a person is holding two or more jobs, the one he/she spends most of his/her time on counts. If their responsibilities are inconsistent with their titles, describe their present jobs. For example, for a worker who is released from production to do administrative work, fill in this column with "workshop statistician", "clerk of X X section" etc. Those who are not at their post presently on account of illness, injury, holiday-leave, being released from work to study, enterprise readjustment, labor-reform, etc., should register under the original work. Apprentices should register under the trade they are learning to do. If his/her trade is still undecided, the person can put down "type of work undecided".<br /></svar>China 1982: Employed persons age 15+ [discrepancies: none]This variable indicates the person's occupation.000NIU (not in universe)011Philosophical researchers012Sociological researchers013Economic researchers014Juridical researchers015Pedagogical researchers016Researchers of literature and the arts017Librarians and staff for information science018Historical researchers019Mathematicians, physicists and chemists020Researchers of engineering021Agronomic researchers022Medical researchers029Other scientific researchers not elsewhere classified031Architects and town planners032Civil engineering technicians033Electrical and electronics engineering technicians034Mechanical engineering technicians035Chemical engineering technicians036Metallurgical engineering technicians037Mining engineering technicians038Industrial engineering technicians039Surveying, drawing and hydrographic technicians040Meteorological and seismic technicians041Geology engineering technicians042Light industry and textile industry technicians043Agricultural technicians044Forestry technicians049Other engineering technicians051Staff for management of scientific technology052Auxiliary staff for scientific technology061Aircraft pilots and navigators062Flight engineers063Deck officers and pilots on ships064Engineers on ships069Other technicians for aircrafts and ships071Doctors of traditional Chinese medicine072Doctors of western medicine073Doctors of combined traditional chinese and western medicine074Pharmacy staff075Head nurses and nurses076Health technicians and assistants077Epidemic prevention health care and medical personnel078Health technicians for neighborhoods (urban areas) and brigades (rural areas)079Veterinary surgeons089Other health technicians not elsewhere classified091Economic planners092Statisticians093Finance and accounting staff094Payroll clerk095Dispatchers096Administrative personnel for taxation, industry and commerce097Banking personnel098Customs inspection officers099Other staff for the economy not elsewhere specified101Judicial affairs102Public prosecutors103Lawyers109Other staff for legal affairs111University and higher teachers112Secondary school teachers113Primary school teachers114Pre-primary school teachers115Teachers in schools for the blind and deaf-mute persons116Assistant teachers119Other teachers121Authors and critics122Writers, musical directors and conductors123Actors124Musical players125Photographers126Film and television cameramen127Art workers128Stage designers129Coaches and referees130Sportsmen139Other staff for literature, arts and sports141Newsmen142Editors143Announcers144Translators145Librarians146Archivists147Archaeologists and cultural relic staffs148Exhibition guides149Other staff for culture150Staff for religion211Managers of government agencies and related working units at the national level212Managers of government agencies and related working units at the provincial level213Managers of government agencies and related working units at the level of prefectures, cities and counties221Managers at all levels of the communist party of china222Managers of the communist youth league of china, labor union and the women's federation223Managers of democratic parties and people's organizations231Managers of subdistrict offices in cities232Managers of neighborhood committees in cities233Managers of people's communes in countryside241Managers of enterprises and institutions242Mangers of work units under enterprises and institutions311Administrative staff of vocational work312Secretaries313Dispatchers and reporters314Typists and copyists319Other administrative staff and office workers321Staff for political affairs322Staff for personnel administration323Political and public security personnel324Firefighters329Other staff for political and security affairs331Staff for posts332Telephone and telegraph operators339Other staff for post and telecommunication399Other clerical and related staff411Shop employees and salesmen419Other salesmen421Buyers422Traveling salespersons and suppliers431Procurement staff in trust companies432Procurement staff for waste and old materials433Other procurement staff499Other commercial staff511Attendants in restaurants and dining halls512Attendants in inns and hotels513Attendants in cinemas, theaters, gymnasiums, playgrounds, public places and parks514Bathroom attendants515Attendants on ship, bus and aircraft516Ticket sellers517Childcare workers518Housekeepers519Barbers520Washers, dyers and darning workers521Fuel supply workers522Cleaners523Odd-job employees524Funeral and interment workers529Other attendants530Cook and kitchen workers540Guides551Staff for repairing household electrical equipment559Staff for repairing other daily necessities599Others in service trade600Production brigade leaders for farming, forestry, animal husbandry and fishery611Grain growers612Cotton growers613Vegetable growers614Tea and fruit growers619Other agricultural workers621Forestation workers622Lumberjacks623Forest rangers624Workers for wood transportation by water629Other forestry workers631Livestock growers632Domestic fowl and animal growers633Growers of animals for special use639Other animal husbandry workers641Aquatic product breeders642Fishermen643Natural aquatic animal and plant gatherers644Fishing boat drivers649Other fishery workers650Hunters661Tractor drivers669Other operators of agricultural machines699Other workers in farming, forestry, animal husbandry and fishery711Mining and stone cutting workers712Mineral and stone processing workers713Oil and natural gas extraction workers714Geological prospecting workers715Salt mining workers719Other mining. quarrying, exploring, well drilling and salt mining workers721Metal smelting workers722Metal rolling and mechanical operators workers723Foundry workers724Metal hot processing workers725Metal drawing and extruding workers726Outside processing of metals workers729Other metal smelting and processing worker731Workers for production of basic chemical raw materials732Workers making chemical fertilizer733Workers making agricultural chemicals734Workers for dairy chemistry735Workers for production of chemical fibers736Oil refining workers737Workers for coking coal738Pharmaceutical workers739Other chemical workers741Rubber machine operators742Plastic machine operators743Tire makers and sulphur suppliers749Other workers for production of rubber and plastic products751Workers for fiber pretreatment752Spinners, silk reeling workers and twisting workers753Workers for installation and maintenance of textile, sewing and dying equipment754Weavers755Knitting workers756Textile and dying workers759Other workers for textiles, knitting and dying761Workers for production of both leather and fur762Workers for leather products763Workers for fur products769Other workers for production of leather and fur771Workers for drawing and cutting out garments772Workers for sewing garments773Workers for production of shoes and caps774Embroidery workers779Other tailoring and sewing workers781Workers who husk rice, mill flour and extract oil782Workers who refine sugar783Butchers and workers for meat products784Workers for food pickling, tinning and preservation785Workers for dairy products786Bakers and workers for candy products787Workers for tea making788Brewers789Other workers for the food and drink industry790Workers for tobacco industry801Workers for wood processing802Workers for wood products803Workers for wood furniture804Carpenters805Workers for products of bamboo, hemp, cane, palm, and straw809Other workers for products of bamboo, hemp, cane, palm and straw811Workers for paper making812Workers for manufacture of paper products819Other workers for manufacture of paper products821Workers for character selection and compositors822Workers for plate making823Printers824Bookbinders825Workers for photocomposition829Other printing and the related workers831Workers for stone cutting832Workers for stone carving839Other stone workers841Forgers and forging press operators842Bench workers843Workers for installation of machine tools844Metal cutting machine operators and blade grinding workers849Other forgers, tool manufacturing workers and machine tool installation workers851Machine assemblers852Workers for machine repair853Workers for manufacture of clocks, watches and precision instruments859Other machine assemblers and workers for manufacture of precision instruments861Workers for installation and repair of electric equipment862Workers for installation and repair of electronic equipment863Workers for assembly of electric and electronic equipment864Electricians865Installation, repair and teletype and telephone equipment assembly workers869Other installation, repair and electronic equipment assembly and related workers871Operators for transmitting equipment872Operators for recording equipment873Projectionists881Plumbers and piping workers882Welders883Workers for cold-working metal components884Workers for installation of metal components891Workers for manufacture of glass products892Workers for manufacture of ceramic products893Workers for manufacture of enamel products901Painters909Other painters911Workers for production of cement and its products912Workers for production of asbestos and its products913Workers for production of lime, bricks and tiles914Workers for production of refractory materials915Workers for production of other non-metallic minerals and products916Workers for production related to culture, education and sports917Workers for pearl, jewel, gold and silver processing918Workers for production and carving of handicraft articles919Other production and related workers921Bricklayers and plasterers922Concrete workers923Reinforcing workers924Scaffolding925Unskilled laborers in construction929Other workers for construction931Operators of electric generating equipment932Operators on duty for power grids933Boiler workers939Other operators of power plants941Loaders942Operators of cranes943Operators of civil engineering, mechanical and related equipment949Other loaders and operators of related equipment951Ships crew952Railway engine drivers and stokers953Railway transportation workers954Bus drivers955Other motor vehicle drivers956Animal-drawn vehicle drivers957Two-wheeled vehicle drivers959Other operators of transportation equipment related staff961Examiners and inspectors962Metrologists963Surveyors964Laboratory technicians991Underwater operation workers992Surveying and drawing workers993Packing workers994Warehouse workers997Other production, transportation and related workers998Other workers not classified elsewhere999UnknownWork: Occupation Variables -- PERSONStatus of non-working person<svar v="CN82A407 CN82A408 CN82A409 CN82A410" a="all"><span class="h1">Persons aged 15 and above</span><br />[Applies to questions VIII - XI]<br /></svar></p>
<p><svar v="CN82A409" a="all"><span class="h3">X. Status of non-working person</span><br /><div class="i1">[] 1. Student<br />[] 2. Housekeeping<br />[] 3. Awaiting school enrollment<br />[] 4. Awaiting state employment<br />[] 5. Awaiting job assignment in city/town<br />[] 6. Retired or resigned<br />[] 7. Other</div><br /></svar><svar v="CN82A409" a="all"><span class="em">10. Status of non-working people</span>. Non-working people age 15 and above, should circle one answer category accordingly.<br /><br />For student now studying at school, draw a circle on "student at school".<br /><br />Those who are doing mostly housework belong to "doing housework". Those people who engage in sideline production at home as their major means of upkeep should fill in under the employed population and should write down their industry and occupation and should not mark down as "doing housework".<br /><br />Young people attending continuation courses or studying on their own in preparation for entering a school of a higher grade may circle on "awaiting school enrollment" if they so wish.<br /><br />Graduates from institutions of higher learning, technical and vocational middle school as well as demobilized soldiers in city/town who are <span class="pg">[pg. 26]</span> waiting for state assignment, should be identified as "awaiting state employment".<br /><br />Jobless people living in urban areas who are of working age and are capable of and willing to work, (the definition of working population is given in item 8 of Chapter III in the Instructions), draw a circle on "awaiting job assignment in city/town".<br /><br />The difference between "awaiting school enrollment" and "awaiting job assignment in city/town" lies in the fact that the former do not want a job while the latter has applied for a job. To differentiate between the two, the answer categories under the topic should be circled according to the respondent's statement.<br /><br />Retired cadres, workers and staff and those who have quit the work, as well as peasants living on pension, should be recorded as "retired or resigned", their industry or occupation before retirement should not be taken. Neither should they circle "doing housework" even though they do look after the house. Retired workers and staff who participate in a kind of social labor at the census time and earn a supplementary income making up his/her pension to become 100% of the original pay should fill in their industry and occupation rather than circling on "retired or resigned". Those who do not belong to any of the above-mentioned categories, for instance, someone incapable of work due to deformity, should circle on "other"; people being arrested and serving a sentence are dealt with in the same way as well.<br /></svar>China 1982: Persons age 15+ who are not employed [unverifiable]This variable indicates the status of a non-working person.0NIU (not in universe)1Student2Housekeeping3Awaiting school enrollment4Awaiting government job-assignment5Urban unemployed6Retired or resigned7OtherWork Variables -- PERSONMarital status<svar v="CN82A407 CN82A408 CN82A409 CN82A410" a="all"><span class="h1">Persons aged 15 and above</span><br />[Applies to questions VIII - XI]<br /></svar></p>
<p><svar v="CN82A410" a="all"><span class="h3">Marital Status</span><br /><div class="i1">[] 1. Never Married<br />[] 2. Married<br />[] 3. Widowed<br />[] 4. Divorced</div><br /></svar><svar v="CN82A410" a="all"><span class="em">11. Marital status</span>. People age 15 and above should register their marital status. Those who are not married at the census time should be recorded as "never married"; whoever has a spouse at the census time including those who remarried after being bereaved or divorced should be classified as "married". Those who remain single since bereavement or divorce at the census time, should be identified as "widowed" or "divorced" accordingly.<br /><br />The real marital status should be reflected in the form, notwithstanding the illegal status of the marriage.<br /></svar>China 1982: Persons age 15+ [discrepancies: none]This variable indicates the person's marital status.0NIU (not in universe)1Never married2Married3Widowed4Divorced9UnknownDemographic Variables -- PERSONNumber of children ever born<svar v="CN82A411 CN82A412" a="all"><span class="h1">Women aged 15 to 64</span><br /><span class="h3">XII. No. of children ever born and currently alive</span><br /><div class="i1">____ Children born alive<br />____ Children living at present<br />_ _ _ _</div><br /></svar><svar v="CN82A411 CN82A412" a="all"><span class="em">12. The total number of children born and the number remaining<br />alive</span>. All females of child-bearing age between 15 to 64 should be inquired of. The topic includes two questions: Firstly how many children ever born alive to the woman, namely the total number of live-born children (including children who died shortly after birth); and secondly the number of children <span class="pg">[pg. 27]</span> living at the reference time, irrespective of whether they are living together with their mother or not; but the children who are dead at the reference time should be excluded. The total number of children born and the number remaining alive refer only to the children the woman bore herself, not including those left behind by a previous wife or adopted from a relative. Generally speaking, adopted children are not included either. However, with some women who have kept adoption a secret she can register her adopted child as her own-born and presently alive child. The upper age limit for this topic is fixed at 64 to acquire fertility information of pre-liberation days for comparison's sake. The women above 65 years old need not be asked.<br /></svar>China 1982: Females age 15 to 64 [discrepancies: none]This variable indicates the number of children ever born alive to the person.0000110220330440550660770880991010111112121313141415151616171718181919202099NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of children now living<svar v="CN82A411 CN82A412" a="all"><span class="h1">Women aged 15 to 64</span><br /><span class="h3">XII. No. of children ever born and currently alive</span><br /><div class="i1">____ Children born alive<br />____ Children living at present<br />_ _ _ _</div><br /></svar><svar v="CN82A411 CN82A412" a="all"><span class="em">12. The total number of children born and the number remaining<br />alive</span>. All females of child-bearing age between 15 to 64 should be inquired of. The topic includes two questions: Firstly how many children ever born alive to the woman, namely the total number of live-born children (including children who died shortly after birth); and secondly the number of children <span class="pg">[pg. 27]</span> living at the reference time, irrespective of whether they are living together with their mother or not; but the children who are dead at the reference time should be excluded. The total number of children born and the number remaining alive refer only to the children the woman bore herself, not including those left behind by a previous wife or adopted from a relative. Generally speaking, adopted children are not included either. However, with some women who have kept adoption a secret she can register her adopted child as her own-born and presently alive child. The upper age limit for this topic is fixed at 64 to acquire fertility information of pre-liberation days for comparison's sake. The women above 65 years old need not be asked.<br /></svar>China 1982: Females age 15 to 64 [discrepancies: none]This variable indicates the person's number of children still alive.000011022033044055066077088099101011111212131314141515202099NIU (not in universe)Fertility and Mortality Variables -- PERSONOrder of birth in 1981<svar v="CN82A413" a="all"><span class="h1">Women of childbearing age - 15 to 49</span><br /><span class="h3">XIII. Bore the following in 1981</span><br /><div class="i1">[] 0. No birth<br />[] 1. First child<br />[] 2. Second<br />[] 3. Third<br />[] 4. Fourth<br />[] 5. Fifth or more</div><br /></svar><svar v="CN82A413" a="all"><span class="em">13. Bore the following in 1981.</span> Women of child-bearing age between 15 and 49 (their completed years of age at reference time) should give an answer to this topic. It means this woman should declare the order of live birth (including the birth of a baby that died shortly afterwards) given by her (in or out of wedlock) in 1981. Twins, triplets or even more babies born at a single birth should be counted as one birth order. All child-bearing age women, married or unmarried, who did not give birth in 1981 should mark down "0" in the form.<br /><br />Live-borns are babies who breathed or had other phenomenon of life such as heart-beats, umbilical cord throbbing or voluntary muscle systole after leaving its mother's womb (disregarding the number of months of pregnancy).<br /></svar>China 1982: Females age 15 to 49 [discrepancies: none]This variable indicates the birth order of a 1981 birth for the person.0No birth1First birth2Second birth3Third birth4Fourth birth5Fifth or more9NIU (not in universe)Fertility and Mortality Variables -- PERSON