Fifth National Population CensusDDI_CHN_2000_PHC_v01_M_v7.5_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSMay 21, 2024IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 7.5 October 2024. NEW FEATURES.
--Historical data from NAPP project now available from IPUMS-International.
--Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk.
--Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples.
--New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.
--IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures.
NEW SAMPLES.
--Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901.
--Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885)
--Labor force surveys from Spain and eight new labor force surveys from Italy added to the series.
Newly added countries:
Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe
New samples for:
Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe
SUPPLEMENTAL DATA.
Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system.
NEW VARIABLES.
--IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here.
--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here.
--IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.
--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.
--Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography.
--Added more detailed 3-digit industry and occupation variables for China 2000.
EDITED SAMPLES.
--Revised full-count data for Great Britain 1881
--Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets:
--Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS.
--Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE.
--A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute.
EDITED VARIABLES.
An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01.
AGEMARR was edited to add data for Hungary 1980 and 1990.
Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries.
Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000.
Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here.
The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education.
Errors affecting EDUCFJ for Fiji 2006 were corrected.
A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals.
MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers.
An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected.
An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed.
All the six Brazil samples in IPUMS International were replaced with higher density samples.
An edited version of the Chile 2017 sample was introduced to correct an error in household breaks.
Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected.
Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here.
An error in PERWT affecting Nepal 2001 was corrected.
Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household.
An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited.
Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.
An error in INCEARN affecting Brazil 1980 was corrected.
An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected.
A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit.
The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN.
An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed.
A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals.
Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.
Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.
An error affecting codes for COMPUTER for Senegal 2013 was corrected.
An error affecting labels available in IND for Peru 1993 was corrected.
An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected.
EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization.
HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province.
In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE.
Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected.
Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected.Fifth National Population Census - IPUMS SubsetPHC China 2000 (IPUMS Harmonized Subset)CHN_2000_PHC_v01_M_v7.5_A_IPUMSNational Census OfficeIPUMS(c) Copyright 2000, National Census Office and Minnesota Population CenterNational Census OfficePopulation and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.5Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONGeography: Global Variables -- HOUSEHOLDFertility and Mortality Variables -- PERSONNativity and Birthplace Variables -- PERSONTechnical Household Variables -- HOUSEHOLDWork Variables -- PERSONEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONEthnicity and Language Variables -- PERSONGeography: A-E Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDIncome Variables -- PERSONMigration: A-E Variables -- PERSONTechnical Person Variables -- PERSONOther Household Variables -- HOUSEHOLDOther Person Variables -- PERSONOther Person Variables -- PERSONNativity and Birthplace Variables -- PERSONMigration: Global Variables -- PERSONEducation Variables -- PERSONWork Variables -- PERSONWork: Industry Variables -- PERSONWork: Occupation Variables -- PERSONIncome Variables -- PERSONDemographic Variables -- PERSONFertility and Mortality Variables -- PERSONNovember 1, 2000From November 1, 2000 to November 10, 2000.ChinaCity/prefecturePersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: no
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: Not applicable
- Households: Individuals with family member relationships living together or single persons living alone.
- Group quarters: Individuals without family member relationships living in collective dormitories or other residences together.All individuals who have Chinese nationality and often reside in China Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: China 2000
MICRODATA SOURCE: National Census Office
SAMPLE SIZE (person records): 11804344.
SAMPLE DESIGN: Systematic sample of households.
Face-to-face [f2f]Four forms: A census short form, census long form, population mortality survey form, and census appendix form also known as the temporary resident survey form.de jure, CENSUS DAY: November 1, 2000Self-weighting (expansion factor = 10).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 Census Office. Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5
Researchers should also acknowledge the statistical agency that originally produced the data: China, National Census Office. Fifth 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.V7.5 Extract for cn2000a, 2024CHN2000_PHC-H-H.datHousehold records3,600,005asciiMinnesota Population CenterVersion 7.5, IPUMS sampleCHN2000_PHC-P-H.datPerson records11804344asciiMinnesota 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 Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Ivory Coast388Jamaica400Jordan404Kenya417Kyrgyz 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 2001348197001Hungary 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 LFS384198801Ivory Coast 1988384199801Ivory Coast 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008458197001Malaysia 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 2000504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007104201401Myanmar 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 2017608199001Philippines 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 -- 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 -- HOUSEHOLDUrban-rural statusURBAN indicates whether the household was located in a place designated as urban or as rural.1Rural2Urban9UnknownGeography: Global Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLD1st subnational geographic level, world [consistent boundaries over time]GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV1 is a 6-digit numeric variable.
GEOLEV1 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR.Geography: Global Variables -- HOUSEHOLD2nd subnational geographic level, world [consistent boundaries over time]GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV2 is a 9-digit numeric variable.
GEOLEV2 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR.Geography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV1 unit, in persons per square kilometerPOPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable.
The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer.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 string variable listing the population density in persons per square kilometer.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 string variable listing the area in square kilometers.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 string variable listing the area in square kilometers.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 2000 [Level 1, GIS]GEO1_CN2000 identifies the household's province within China in 2000. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CN2000 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 Mongolia021Liaoning022Jilin023Heilongjiang031Shanghai032Jiangsu033Zhejiang034Anhui035Fujian036Jiangxi037Shandong041Henan042Hubei043Hunan044Guangdong045Guangxi046Hainan050Chongqing051Sichuan052Guizhou053Yunnan054Tibet061Shaanxi062Gansu063Qinghai064Ningxia065XinjiangGeography: 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 2000 [Level 2, GIS]GEO2_CN2000 identifies the household's prefecture or city within China in 2000. Prefectures or cities are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_CN2000 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 city013003Qinhuangdao city013004Handan city013005Xingtai city013006Baoding city013007Zhangjiakou city013008Chengde city013009Cangzhou city013010Langfang city013011Hengshui city014001Taiyuan city014002Datong city014003Yangquan city014004Changzhi city014005Jincheng city014006Shuozhou city014007Jinzhong city014008Yuncheng city014009Xinzhou city014010Linfen city014023Luliang prefecture015001Hohhot city015002Baotou city015003Wuhai city015004Chifeng city015005Tongliao city015021Hulunbuir league015022Xing'an league015025Xilin Gol league015026Ulaan Chab league015027Yikezhao league015028Bayannur league015029Alxa prefecture021001Shenyang city021002Dalian city021003Anshan city021004Fushun city021005Benxi city021006Dandong city021007Jinzhou city021008Yingkou city021009Fuxin city021010Liaoyang city021011Panjin city021012Tieling city021013Chaoyang city021014Huludao city022001Changchun city022002Jilin city022003Siping city022004Liaoyuan city022005Tonghua city022006Baishan city022007Songyuan city022008Baicheng city022024Yanbian Korean autonomous prefecture023001Harbin city023002Qiqihar city023003Jixi city023004Hegang city023005Shuangyashan city023006Daqing city023007Yichun city023008Jiamusi city023009Qitaihe city023010Mudanjiang city023011Heihe city023012Suihua city023027Daxing'anling prefecture031000Shanghai municipality032001Nanjing city032002Wuxi city032003Xuzhou city032004Changzhou city032005Suzhou city032006Nantong city032007Lianyungang city032008Huaiyin city032009Yancheng city032010Yangzhou city032011Zhenjiang city032012Taizhou city032013Suqian city033001Hangzhou city033002Ningbo city033003Wenzhou city033004Jiaxing city033005Huzhou city033006Shaoxing city033007Jinhua city033008Quzhou city033009Zhoushan city033010Taizhou city033011Lishui city034001Hefei city034002Wuhu city034003Bengbu city034004Huainan city034005Ma'anshan city034006Huaibei city034007Tongling city034008Anqing city034010Huangshan city034011Chuzhou city034012Fuyang city034013Suzhou city034014Chaohu city034015Liu'an city034016Bozhou city034017Guichi city034018Xuancheng city035001Fuzhou city035002Xiamen city035003Putian city035004Sanming city035005Quanzhou city035006Zhangzhou city035007Nanping city035008Longyan city035009Ningde city036001Nanchang city036002Jingdezhen city036003Pingxiang city036004Jiujiang city036005Xinyu city036006Yingtan city036007Ganzhou city036008Ji'an city036009Yichun city036010Fuzhou city036011Shangrao city037001Jinan city037002Qingdao city037003Zibo city037004Zaozhuang city037005Dongying city037006Yantai city037007Weifang city037008Jining city037009Tai'an prefecture037010Weihai city037011Rizhao city037012Laiwu city037013Linyi city037014Dezhou city037015Liaocheng city037016Binzhou city037017Heze city041001Zhengzhou city041002Kaifeng city041003Luoyang city041004Pingdingshan city041005Anyang city041006Hebi city041007Xinxiang city041008Jiaozuo city041009Puyang city041010Xuchang city041011Luohe city041012Sanmenxia city041013Nanyang city041014Shangqiu city041015Xinyang city041016Zhoukou city041017Zhumadian city042001Wuhan city042002Huangshi city042003Shiyan city042005Yichang city042006Xiangfan city042007Ezhou city042008Jingmen city042009Xiaogan city042010Jingzhou city042011Huanggang city042012Xianning city042013Suizhou city042028Exi Tujia-Miao autonomous prefecture042090Hubei Province direct administrative area043001Changsha city043002Zhuzhou city043003Xiangtan city043004Hengyang city043005Shaoyang city043006Yueyang city043007Changde city043008Zhangjiajie city043009Yiyang city043010Chenzhou city043011Yongzhou city043012Huaihua city043013Loudi city043031Xiangxi Tujia-Miao autonomous prefecture044001Guangzhou city044002Shaoguan city044003Shenzhen city044004Zhuhai city044005Shantou city044006Foshan city044007Jiangmen city044008Zhanjiang city044009Maoming city044012Zhaoqing city044013Huizhou city044014Meizhou city044015Shanwei city044016Heyuan city044017Yangjiang city044018Qingyuan city044019Dongguan city044020Zhongshan city044051Chaozhou city044052Jieyang city044053Yunfu city045001Nanning city045002Liuzhou city045003Guilin city045004Wuzhou city045005Beihai city045006Fangchenggang city045007Qinzhou city045008Guigang city045009Yulin city045021Nanning prefecture045022Liuzhou prefecture045024Hezhou prefecture045026Baise prefecture045027Hechi prefecture046000Hainan Province direct administrative area046001Haikou city046002Sanya city050000Chongqing municipality051001Chengdu city051003Zigong city051004Panzhihua city051005Luzhou city051006Deyang city051007Mianyang city051008Guangyuan city051009Suining city051010Neijiang city051011Leshan city051013Nanchong city051014Meishan city051015Yibin city051016Guang'an city051017Dazhou city051018Ya'an city051019Bazhong city051020Ziyang city051032Ngawa Tibetan-Qiang autonomous prefecture051033Garze Tibetan autonomous prefecture051034Liangshan Yi prefecture052001Guiyang city052002Liupanshui city052003Zunyi city052004Anshun city052022Tongren prefecture052023Qianxinan Buyei-Miao autonomous prefecture052024Bijie prefecture052026Qiandongnan Miao-Dong autonomous prefecture052027Qiannan Buyei-Miao autonomous prefecture053001Kunming city053003Qujing city053004Yuxi city053021Zhaotong prefecture053023Chuxiong Yi autonomous autonomous prefecture053025Honghe Hani-Yi autonomous prefecture053026Wenshan Zhuang-Miao autonomous prefecture053027Simao prefecture053028Xishuangpanna Dai autonomous prefecture053029Dali Bai autonomous prefecture053030Baoshan prefecture053031Dehong Dai-Jingpo autonomous prefecture053032Lijiang prefecture053033Nujiang Lisu autonomous prefecture053034Diqing Tibetan autonomous prefecture053035Lincang prefecture054001Lhasa city054021Chamdo prefecture054022Shannan prefecture054023Shigatse prefecture054024Nagchu prefecture054025Ngari prefecture054026Nyingchi prefecture061001Xi'an city061002Tongchuan city061003Baoji city061004Xianyang city061005Weinan city061006Yan'an city061007Hanzhong city061008Yulin city061009Ankang city061025Shangluo prefecture062001Lanzhou city062002Jiayuguan city062003Jinchang city062004Baiyin city062005Tianshui city062021Jiuquan prefecture062022Zhangye prefecture062023Wuwei prefecture062024Dingxi prefecture062026Wudu prefecture062027Pingliang prefecture062028Qingyang prefecture062029Linxia Hui prefecture062030Gannan Tibetan autonomous prefecture063001Xining city063021Haidong prefecture063022Haibei Tibetan autonomous prefecture063023Huangnan Tibetan autonomous prefecture063025Hainan Tibetan autonomous prefecture063026Golog Tibetan autonomous prefecture063027Yushu Tibetan autonomous prefecture063028Haixi Mongol-Tibetan autonomous prefecture064001Yinchuan city064002Shizuishan city064003Wuzhong city064022Guyuan prefecture065001Urumuqi city065002Karamay city065021Turfan prefecture065022Hami prefecture065023Changji Hui prefecture065027Bortala Mongol autonomous prefecture065028Bayin'gholin Mongol autonomous prefecture065029Aksu prefecture065030Kizilsu Kirghiz autonomous prefecture065031Kashgar prefecture065032Khotan prefecture065040Yili Kazak autonomous prefecture065041Yili prefecture065042Tacheng prefecture065043Altay prefecture065090Shihezi cityGeography: A-E Variables -- HOUSEHOLDChina, County 2000 [Level 3, GIS (select urban areas)]GEO3_ CN2000 identifies the household's county within China in 2000. Counties are the third level administrative units of the country, after prefectures. A GIS map (in shapefile format), corresponding to selected urban areas in GEO3_ CN2000 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.011000101Dongcheng011000102Xicheng011000103Chongwen011000104Xuanwu011000105Chaoyang011000106Fengtai011000107Shijingshan011000108Haidian011000109Mentougou011000111Fangshan011000112Tongzhou011000113Shunyi011000114Changping011000224Daxing011000226Pinggu011000227Huairou011000228Miyun011000229Yanqing012000101Heping012000102Hedong012000103Hexi012000104Nankai012000105Hebei012000106Nongqiao012000107Tanggu012000108Hangu012000109Dagang012000110Dongli012000111Xiqing012000112Jinnan012000113Beichen012000114Wuqing012000221Ninghe012000223Jinghai012000224Baodi012000225Ji013001002Chang'an013001003Qiaodong013001004Qiaoxi013001005Xinhua013001006Shijiazhuang Suburbs013001007Jingjin mining013001021Jingjin013001023Zhengding013001024Luancheng013001025Xingtang013001026Lingshou013001027Gaoyi013001028Shenze013001029Zanhuang013001030Wuji013001031Pingshan013001032Yuanshi013001033Zhao013001081Xinji013001082Gaocheng013001083Jinzhou013001084Xinle013001085Luquan013002002Lunan013002003Lubei013002004Guzhi013002005Kaiping013002006Xinqu013002021Fengrun013002023Luan013002024Luannan013002025Yueting013002027Qianxi013002029Yutian013002030Tanghai013002081Zunhua013002082Fengnan013002083Qianan013003002Haigang013003003Shanhaiguan013003004Beidaihe013003021Qinglong013003022Changli013003023Funing013003024Lulong013004002Hanshan013004003Congtai013004004Fuxing013004006Fengfeng013004021Handan013004023Linzhang013004024Chengan013004025Daming013004026She013004027Ci013004028Feixiang013004029Yonnian013004030Qiu013004031Jize013004032Guangping013004033Guantao013004034Wei013004035Quzhou013004081Wuan013005002Qiaodong013005003Qiaoxi013005021Xingtai013005022Lincheng013005023Neiqiu013005024Baixiang013005025Longyao013005026Ren013005027Nanhe013005028Ningjin013005029Julu013005030Xinhe013005031Guangzong013005032Pingxiang013005033Wei013005034Qinghe013005035Linxi013005081Nangong013005082Shahe013006002Xinshi013006003Beishi013006004Nanshi013006021Mancheng013006022Qingyuan013006023Laishui013006024Fuping013006025Xushui013006026Dingxing013006027Tang013006028Gaoyang013006029Rongcheng013006030Laiyuan013006031Wangdu013006032Anxin013006033Yi013006034Quyang013006035Li013006036Shunping013006037Boye013006038Xiong013006081Zhuozhou013006082Dingzhou013006083Anguo013006084Gaobeidian013007002Qiaodong013007003Qiaoxi013007005Xuanhua013007006Xiahuayuan013007021Xuanhua013007022Zhangbei013007023Kangbao013007024Guyuan013007025Shangyi013007026Wei013007027Yangyuan013007028Huaian013007029Wanquan013007030Huailai013007031Zhuolu013007032Chicheng013007033Chongli013008002Shuangqiao013008003Shuangluan013008004Yingshouyingzi Mining013008021Chengde013008022Xinglong013008023Pingquan013008024Luanping013008025Longhua013008026Fengning013008027Kuancheng013008028Weichang013009002Xinhua013009003Yunhe013009021Cang013009022Qing013009023Dongguang013009024Haixing013009025Yanshan013009026Suning013009027Nanpi013009028Wuqiao013009029Xian013009030Mengcun013009081Botou013009082Renqiu013009083Huanghua013009084Hejian013010002Anci013010003Guangyang013010022Guan013010023Yongqing013010024Xianghe013010025Dacheng013010026Wenan013010028Dachang Hui Autonomous013010081Bazhou013010082Sanhe013011002Taocheng013011021Zaoqiang013011022Wuyi013011023Wuqiang013011024Raoyang013011025Anping013011026Gucheng013011027Jing013011028Fucheng013011081Jizhou013011082Shenzhou014001005Xiaodian014001006Yingze014001007Xinghualing014001008Jiancaoping014001009Wanbailin014001010Jinyuan014001021Qingxu014001022Yangqu014001023Loufan014001081Gujiao014002002Datong Urban014002003Datong Mining014002011Datong South Suburbs014002012Xinrong014002021Yanggao014002022Tianzhen014002023Guangling014002024Lingqiu014002025Hunyuan014002026Zuoyun014002027Datong County014003002Yangquan Urban014003003Yangquan Mining014003011Yangquan Suburbs014003021Pingding014003022Yu014004002Changzhi Urban014004011Changzhi Suburbs014004021Changzhi County014004023Xiangyuan014004024Tunliu014004025Pingshun014004026Licheng014004027Huguan014004028Changzi014004029Wuxiang014004030Qin014004031Qinyuan014004081Lucheng014005002Jincheng Urban014005021Qinshui014005022Yangcheng014005024Lingchuan014005025Zezhou014005081Gaoping014006002Shuocheng014006003Pinglu014006021Shanyin014006022Ying014006023Youyu014006024Huairen014007002Yuci014007021Yushe014007022Zuoquan014007023Heshun014007024Xiyang014007025Shouyang014007026Taigu014007027Qi014007028Pingyao014007029Lingshi014007081Jiexiu014008002Yanhu014008021Linyi014008022Wanrong014008023Wenxi014008024Jishan014008025Xinjiang014008026Jiang014008027Yuanqu014008028Xia014008029Pinglu014008030Bingcheng014008081Yongji014008082Hejin014009002Xinfu014009021Dingxiang014009022Wutai014009023Daixain014009024Fanshi014009025Ningwu014009026Jingle014009027Shenchi014009028Wuzhai014009029Kelan014009030Hequ014009031Baode014009032Pianguan014009081Yuanping014010002Yaodu014010021Quwo014010022Yicheng014010023Xiangfen014010024Hongtong014010025Gu014010026Anze014010027Fushan014010028Ji014010029Xiangning014010030Taining014010031Xi014010032Yonghe014010033Pu014010034Fenxi014010081Houma014010082Huozhou014023001Xiaoyi014023002Lishi014023003Fenyang014023022Wenshui014023023Jiaocheng014023025Xing014023026Lin014023027Liulin014023028Shilou014023029Lan014023030Fangshan014023032Zhongyang014023033Jiaokou015001002Xincheng015001003Huimin015001004Yuquan015001005Saihan015001021Tumed Left Banner015001022Togtoh015001023Horinger015001024Qingshuihe015001025Wuchuan015002002Donghe015002003Hondlon015002004Qingshan015002005Xiguit015002006Bayan'Obo Mining015002007Jiuyuan015002021Tumed Right Banner015002022Guyang015002023Darhan Muminggan United Banner015003002Haibowan015003003Hainan015003004Ud015004002Hongshan015004003Yuanbaoshan015004004Songshan015004021Ar Horqin Banner015004022Bairlin Left Banner015004023Bairin Right Banner015004024Linxi015004025Hexigten Banner015004026Ongniud Banner015004028Harqin Banner015004029Ningcheng015004030Aohan Banner015005002Horqin015005021Horqin Left Middle Banner015005022Horqin Left Back Banner015005023Kailu015005024Hure Banner015005025Naiman Banner015005026Jarud Banner015005081Holingol015021001Hailar015021002Manzhouli015021003Zalantun015021004Yakeshi015021005Genhe015021006Ergun015021022Arun Banner015021023Morin Dawa Daur Autonomous Banner015021027Oroqen Autonomous Banner015021028Ewenki Autonomous Banner015021029New Barag Right Banner015021030New Barag Left Banner015021031Old Barag Banner015022001Ulanhot015022002Arxan015022021Horqin Right Front Banner015022022Horqin Right Middle Banner015022023Jalaid Banner015022024Tuquan015025001Erenhot015025002Xilinhot015025022Abag Banner015025023Sonid Left Banner015025024Sonid Right Banner015025025East Ujimqin Banner015025026West Ujimqin Banner015025027Taibus Banner015025028Xianghuang Banner015025029Zhengxiangbai Banner015025030Zhenglan Banner015025031Duolun015026001Jining015026002Fengzhen015026024Zhuozi015026025Huade015026026Shangdu015026027Xinghe015026029Liangcheng015026030Qahar Right Front Banner015026031Qahar Right Middle Banner015026032Qahar Right Rear Banner015026034Dorbod Banner015027001Dongsheng015027022Dalad Banner015027023Jungar Banner015027024Otog Front Banner015027025Otog Banner015027026Hanggin Banner015027027Uxin Banner015027028Ejin Horo Banner015028001Linhe015028022Wuyuan015028023Dengkou015028024Urad Front Banner015028025Urad Middle Banner015028026Urad Rear Banner015028027Hanggin Rear Banner015029021Alxa Left Banner015029022Alxa Right Banner015029023Ejin Banner021001002Heping021001003Shenhe021001004Dadong021001005Huanggu021001006Tiexi021001011Sujiatun021001012Dongling021001013Xinchengzi021001014Yuhong021001022Liaozhong021001023Kanping021001024Faku021001081Xinmin021002002Zhongshan021002003Xigang021002004Shahekou021002011Ganjingzi021002012Lushunkou021002013Jinzhou021002024Changhai021002081Wafangdian021002082Pulandian021002083Zhuanghe021003002Tiedong021003003Tiexi021003004Lishan021003011Qianshan021003021Tai'An021003023Xiuyan021003081Haicheng021004002Xinfu021004003Dongzhou021004004Wanghua021004011Shuncheng021004021Fushun021004022Xinbin021004023Qingyuan021005002Pingshan021005003Xihu021005004Mingshan021005005Nanfen021005021Benxi021005022Huanren021006002Yuanbao021006003Zhenxing021006004Zhen'An021006024Kuandian021006081Donggang021006082Fengcheng021007002Guta021007003Linghe021007011Taihe021007026Heishan021007027Yi021007081Linghai021007082Beining021008002Zhanqian021008003Xishi021008004Bayuquan021008011Laobian021008081Gaizhou021008082Dashiqiao021009002Haizhou021009003Xinqiu021009004Taiping021009005Qinghemen021009011Xihe021009021Fuxin Mongolian021009022Zhangwu021010002Baita021010003Wensheng021010004Hongwei021010005Gongchangling021010011Taizihe021010021Liaoyang021010081Dengta021011002Shuangtaizi021011003Xinglongtai021011021Taiwa021011022Panshan021012002Yinzhou021012004Qinghe021012021Tieling021012023Xifeng021012024Changtu021012081Tiefa021012082Kaiyuan021013002Shuangta021013003Longcheng021013021Chaoyang021013022Jianping021013024Harqin Left 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Urban062003002Jinchuan062003021Yongchang062004002Baiyin062004003Pingchuan062004021Jingyuan062004022Huining062004023Jingtai062005002Qincheng062005003Beidao062005021Qingshui062005022Qin'An062005023Gangu062005024Wushan062005025Zhangjiachuan062021001Yumen062021002Jiuquan062021003Dunhuang062021023Jinta062021026Anxi, Subei, Aksay Kazakh062022001Zhangye062022022Sunan Yugur062022023Minle062022024Linze062022025Gaotai062022026Shandan062023001Wuwei062023022Minqin062023023Gulang062023026Tianzhu Tibetan062024021Dingxi062024024Tongwei062024025Longxi062024026Weiyuan062024027Lintao062024028Zhang062024029Min062026021Wudu062026023Dangchang062026024Cheng062026025Kang062026026Wen062026027Xihe062026028Li062026029Liangdang062026030Hui062027001Pingliang062027022Jingchuan062027023Lingtai062027024Chongxin062027025Huating062027026Zhuanglang062027027Jingning062028001Xifeng062028021Qingyang Prefecture062028022Huan062028023Huachi062028024Heshui062028025Zhengning062028026Ning062028027Zhenyuan062029001Linxia City062029021Linxia County062029022Kangle062029023Yongjing062029024Guanghe062029025Hezheng062029026Dong062029027Jishishan Bao'An062030001Hezuo062030021Lintan062030022Jone062030023Zhuqu062030024Tewo062030025Maqu062030026Luqu062030027Xiahe063001002Cheng-Dong063001003Cheng-Zhong063001004Cheng-Xi063001005Cheng-Bei063001021Datong Hui and Tu Autonomous County063001022Huangzhong063001023Huangyuan063021021Ping'An063021022Minhe063021023Ledu063021026Huzhou Tu063021027Hualong Hui063021028Xunhua Salar063022021Menyuan Hui063022022Qilian063022023Haiyan063022024Gangca063023021Tongren063023022Jainca063023023Zekog063023024Henan-Inner Mongolia063025021Gonghe063025022Tongde063025023Guide063025024Xinghai063025025Guinan063026021Maqen063026022Baima, Jigzhi063026023Gade063026024Darlag, Madoi063027021Yushu063027022Zadoi063027023Chindu063027024Zhidoi063027025Nangqen063027026Qumarleb063028001Golmud063028002Da Qaidam063028021Ulan, Tianjun063028022Dulan064001002Yinchuan Urban064001003Yinchuan New Urban064001011Yinchuan Suburb064001021Yongning064001022Helan064002002Dawukou064002003Shizuishan064002004Shitanjing064002021Pingluo064002022Taole064002023Huinong064003002Litong064003003Hongsibao064003021Zhongwei064003022Zhongning064003023Yanchi064003024Tongxin064003081Qingtongxia064003082Lingwu064022021Guyuan064022022Haiyuan064022023Xiji064022024Longde064022025Jingyuan064022026Pengyang065001002Tianshan065001003Saybag065001004Xinshi065001005Shuimogou065001006Toutunhe065001008Dongshan065001021Ürümqi, Nanquan065002002Dushanzi065002003Karamay065002004Baijiantan065002005Orku065021001Turpan065021022Shanshan065021023Toksun065022001Hami065022022Darkol Kazak065022023Yiwu065023001Changji065023002Fukang065023003Miquan065023023Hutubi065023024Manas065023025Qitai065023027Jimsar065023028Mori Kazakh Autonomous065027001Bole065027022Jinghe065027023Wenquan065028001Korla065028022Luntai065028023Weili065028024Ruoqiang065028025Qiemo065028026Yanqi Hui065028027Hejing065028028Heshuo065028029Bohu065029001Akesu065029022Wensu065029023Kuqa065029024Xayar065029025Xinhe065029026Baicheng065029027Wushi065029028Awat065029029Kalpin065030001Artux065030022Akto065030023Akqi065030024Wuqia065031001Kashgar065031021Shufu065031022Shule065031023Yengisar065031024Zepu065031025Shache065031026Yecheng065031027Matkit065031028Yopurga065031029Jiashi065031030Bachu065031031Tashkurgan065032001Hetian065032021Hotan065032022Moyu065032023Pishan065032024Lop065032025Qira065032026Yutian065032027Minfeng065040001Kuitun065041001Yining City065041021Yining County065041022Qapqal Xibe065041023Huocheng065041024Gongliu065041025Xinyuan065041026Zhaosu065041027Tekes065041028Nilka065042001Tacheng065042002Wusu065042021Emin065042023Shawan065042024Toli065042025Yumin065042026Hoboksar065043001Altay065043021Burqin065043022Fuyun065043023Fuhai065043024Habahe065043025Qinghe065043026Jeminay065090001ShiheziGeography: 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 2000: All recordsThis variable indicates the dwelling number.This is a 7-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDHousehold number (within dwelling)China 2000: All recordsThis variable indicates the household number (within dwelling).0110220330440550660770880991010111112121313Technical Household Variables -- HOUSEHOLDNumber of households in dwellingChina 2000: All recordsThis variable indicates the number of households in the dwelling.01102203304405506607708809910101313Technical Household Variables -- HOUSEHOLDNumber of persons in dwellingChina 2000: All recordsThis variable indicates the number of persons in the dwelling.0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636565666668687171Technical Household Variables -- HOUSEHOLDNumber of persons in householdChina 2000: All recordsThis variable indicates the number of persons in the household.0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272929303031313333343436363838393942424646505056566262Technical Household Variables -- HOUSEHOLDUrban location of householdChina 2000: All householdsThis variable indicates whether the household is defined as city, town, or county population.
City population: Total population of districts under the jurisdiction of city with district establishment and the population of street under the jurisdiction of city without district establishment. Town population: Total resident-committees population of towns under the jurisdiction of city without district establishment and the resident-committees population of towns under the jurisdiction of county. County population: Total population except city population and town population.1City2Town 3CountyGeography: A-E Variables -- HOUSEHOLDEthnicityChina 2000: All householdsThis variable indicates whether the household is of Han ethnicity.0Not Han1HanOther Household Variables -- HOUSEHOLDPerson numberPERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.PERNUM is a 4-digit numeric variable.Technical Person Variables -- PERSONPerson weightPERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Person Variables -- PERSONMother's location in householdMOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero.MOMLOC is a 3-digit numeric variable.
Codes0 = No mother of this person present in the household.
1 or higher = The person number of this person's motherConstructed Family Interrelationship Variables -- PERSONFather's location in householdPOPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero.POPLOC is a 3-digit numeric variable.
Codes0 = No father of this person present in the household.
1 or higher = The person number of this person's fatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdSPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology.SPLOC is a 3-digit numeric variable.
Codes0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouseConstructed Family Interrelationship Variables -- PERSONRule for linking parentPARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No parent of person in household11Link to head or spouse, unambiguous12Link to head or spouse, ambiguous21Child-Grandchild, within empirical child cap22Child-Grandchild, within constructed child cap23Child-Grandchild, exceeds child cap31Specified Other Relatives, within empirical child cap32Specified Other Relatives, within constructed child cap33Specified Other Relatives, exceeds child cap41Other Relatives, within empirical child cap42Other Relatives, within constructed child cap51Non-Relatives, within empirical child cap52Non-Relatives, within constructed child capConstructed Family Interrelationship Variables -- PERSONRule for linking spouseSPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.00No spouse present01Rule 1: strong relationship pairing, couple adjacent02Rule 2: strong relationship pairing, couple not adjacent03Rule 3: weak relationship pairing, couple adjacent04Rule 4: weak relationship pairing, couple not adjacent05Rule 5: weak consensual union pairings06Rule 6: sample-specific rules (usually child-to-child)Constructed Family Interrelationship Variables -- PERSONProbable stepmotherSTEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children born or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process.
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 -- PERSONAge at first marriage or unionAGEMARR indicates the person's age at first marriage or consensual union.00NIU (not in universe)1010 or younger111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636464656566666767686869697070717172727373747475757676777778787979808081818282838384848585868687878888898990909191929293939494959596969797989899UnknownDemographic Variables -- PERSONYear of first marriageMARRYR reports the year of first marriage.18871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209998Unknown9999NIU (not in universe)Demographic Variables -- PERSONYear of birthBIRTHYR gives the person's year of birth.0000NIU (not in universe)162816281629162916301630163116311634163416351635163616361637163716381638163916391640164016411641164216421643164316441644164516451646164616471647164816481649164916501650165116511652165216531653165416541655165516561656165716571658165816591659166016601661166116621662166316631664166416651665166616661667166716681668166916691670167016711671167216721673167316741674167516751676167616771677167816781679167916801680168116811682168216831683168416841685168516861686168716871688168816891689169016901691169116921692169316931694169416951695169616961697169716981698169916991700170017011701170217021703170317041704170517051706170617071707170817081709170917101710171117111712171217131713171417141715171517161716171717171718171817191719172017201721172117221722172317231724172417251725172617261727172717281728172917291730173017311731173217321733173317341734173517351736173617371737173817381739173917401740174117411742174217431743174417441745174517461746174717471748174817491749175017501751175117521752175317531754175417551755175617561757175717581758175917591760176017611761176217621763176317641764176517651766176617671767176817681769176917701770177117711772177217731773177417741775177517761776177717771778177817791779178017801781178117821782178317831784178417851785178617861787178717881788178917891790179017911791179217921793179317941794179517951796179617971797179817981799179918001800180118011802180218031803180418041805180518061806180718071808180818091809181018101811181118121812181318131814181418151815181618161817181718181818181918191820182018211821182218221823182318241824182518251826182618271827182818281829182918301830183118311832183218331833183418341835183518361836183718371838183818391839184018401841184118421842184318431844184418451845184618461847184718481848184918491850185018511851185218521853185318541854185518551856185618571857185818581859185918601860186118611862186218631863186418641865186518661866186718671868186818691869187018701871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209999UnknownDemographic Variables -- PERSONMonth of birthBIRTHMO indicates the person's month of birth.01January02February03March04April05May06June07July08August09September10October11November12December98Unknown99NIU (not in universe)Demographic Variables -- PERSONChildren ever bornCHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren survivingCHSURV reports the number of children born to a woman who were still living at the time of the census.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of female children ever bornCHBORNF indicates the number of female children ever born to a woman. Only live births are counted.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of male children ever bornCHBORNM indicates the number of male children ever born to a woman. Only live births are counted.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of female children survivingCHSURVF indicates the number of female children ever born to a woman still living at the time of the census.00No children011 child022 children03304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of male children survivingCHSURVM indicates the number of male children ever born to a woman still living at the time of the census.00No children011 child022 children03304405506607708809910101111121213131414151516161717181819192020+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 -- PERSONProvince of birth, ChinaBPLCN indicates the person's province of birth within China.11Beijing12Tianjin13Hebei14Shanxi15Inner Mongolia21Liaoning22Jilin23Heilongjiang31Shanghai32Jiangsu33Zhejiang34Anhui35Fujian36Jiangxi37Shandong41Henan42Hubei43Hunan44Guangdong45Guangxi46Hainan50Chongqing51Sichuan52Guizhou53Yunnan54Tibet61Shaanxi62Gansu63Qinghai64Ningxia65Xinjiang98Hong Kong, Macau, Taiwan, or foreign countryNativity and Birthplace Variables -- PERSONEthnicity, ChinaETHNICCN identifies the ethnic group to which the person claimed membership.01Han02Mongol03Hui04Tibetan05Ugur06Miao07Yi08Zhuang09Bouyi10Korean11Man12Dong13Yao14Bai15Tujia16Hani17Kazak18Dai19Li20Lisu21Va22She23Gaoshan24Lahu25Sui26Dongxiang27Naxi28Jingpo29Kirgiz30Tu31Daur32Mulam33Qiang34Bulang35Salar36Maonan37Gelao38Xibe39Achang40Pumi41Tajik42Nu43Uzbek44Russian45Ewenkei46Benglong47Baoan48Yugur49Gin50Tatar51Derung52Orogen53Hezhen54Monba55Lhoba56Jino99Other or unknownEthnicity and Language Variables -- PERSONSchool attendanceSCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.0NIU (not in universe)1Yes2No, not specified3No, attended in the past4No, never attended9Unknown/missingEducation Variables -- PERSONLiteracyLIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational attainment, international recode [general version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational attainment, international recode [detailed version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- 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 -- 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.
CodesArgentina 1970 - Spanish
Argentina 1980 - Spanish
Argentina 1991 - Spanish
Argentina 2001 - Spanish
Armenia 2011
Austria 1971-2001 - German
Belarus 1999 - Russian
Belarus 2009
Benin 1979
Benin 1992
Benin 2002
Benin 2013
Bolivia 1976
Bolivia 1992
Bolivia 2001
Bolivia 2012
Botswana 1981
Botswana 1991
Botswana 2001
Botswana 2011
Brazil 1960 - Portuguese
Brazil 1970 - Portuguese
Brazil 1980 - Portuguese
Brazil 1991 - Portuguese
Brazil 2000 - Portuguese
Brazil 2010
Burkina Faso 1985
Burkina Faso 1996
Cambodia 1998
Cambodia 2004
Cambodia 2008
Cambodia 2013
Cambodia 2019
Cameroon 1976
Cameroon 2005
Canada 1971
Canada 1981-1991
Canada 2001
Canada 2011
Chile 1960
Chile 1970
Chile 1982
Chile 1992
Chile 2002
China 1982
China 1990
China 2000
Colombia 1964
Colombia 1973 - Spanish
Costa Rica 1973
Costa Rica 1984
Costa Rica 2000
Costa Rica 2011
Cote d'Ivoire 1988
Cote d'Ivoire 1998
Cuba 2002
Cuba 2012
Denmark 1845
Denmark 1880
Denmark 1885
Dominican Republic 1960
Dominican Republic 1970
Dominican Republic 1981
Dominican Republic 2002
Dominican Republic 2010
Ecuador 1962
Ecuador 1974
Ecuador 1982
Ecuador 1990
Ecuador 2001
Ecuador 2010
Egypt 1986
Egypt 2006
El Salvador 1992
El Salvador 2007
Ethiopia 1984
Ethiopia 1994
Fiji 1976
Fiji 1986
Fiji 1996
Fiji 2007
Fiji 2014
Finland 2010
France 1962-1990 - French
France 1999
France 2006
France 2011
Germany 1970
Germany 1981
Germany 1987
Ghana 1984
Ghana 2000
Ghana 2010
Greece 1971-1991 - Greek
Greece 2001 - Greek
Greece 2011
Guatemala 1964
Guatemala 1973
Guatemala 1981
Guatemala 1994
Guatemala 2002
Guinea 1983
Guinea 1996
Guinea 2014
Haiti 1982
Haiti 2003
Honduras 1961
Honduras 1974
Honduras 1988
Honduras 2001
Hungary 1970-1990
Hungary 2001
Hungary 2011
India 1983-2004
India 2009
Indonesia 1971
Indonesia 1976
Indonesia 1980
Indonesia 1985
Indonesia 1990
Indonesia 1995
Indonesia 2005
Iran 2006
Iran 2011
Iraq 1997
Ireland 1901
Ireland 1911
Ireland 1971
Ireland 1981
Ireland 1986
Ireland 1991
Ireland 1996
Ireland 2002
Ireland 2006
Ireland 2011
Ireland 2016
Israel 1972
Israel 1983
Israel 1995
Israel 2008
Italy 2001
Italy 2011
Italy Surveys 2011-2020
Jamaica 1982
Jamaica 1991
Jamaica 2001
Jordan 2004
Kenya 1989
Kyrgyz Republic 1999
Laos 1995
Lesotho 1996
Lesotho 2006
Liberia 1974
Liberia 2008
Malawi 1987
Malawi 1998
Malawi 2008
Malaysia 1970
Malaysia 1980-1991
Malaysia 2000
Mali 1987
Mali 1998
Mali 2009
Mauritius 1990
Mauritius 2000
Mauritius 2011
Mexico 1960 - Spanish
Mexico 1970 - Spanish
Mexico 1990 - Spanish
Mexico 1995 - Spanish
Mexico 2000 - Spanish
Mexico 2010
Mexico 2015
Mexico 2020
Mexico Surveys 2005-2020
Mongolia 2000
Morocco 1982
Morocco 1994
Morocco 2004
Morocco 2014
Mozambique 1997
Mozambique 2007
Myanmar 2014
Nepal 2001
Nepal 2011
Netherlands 1960
Netherlands 1971
Netherlands 2001
Netherlands 2011
Nicaragua 1971
Nicaragua 1995
Nicaragua 2005
Nigeria 2008
Nigeria 2009
Nigeria 2010
Pakistan 1973
Palestine 1997
Palestine 2007
Palestine 2017
Panama 1960 - Spanish
Panama 1970 - Spanish
Panama 1980 - Spanish
Panama 1990 - Spanish
Panama 2000 - Spanish
Panama 2010
Papua New Guinea 1980
Papua New Guinea 1990
Papua New Guinea 2000
Paraguay 1962
Paraguay 1972
Paraguay 1982
Paraguay 1992
Paraguay 2002
Peru 1993
Peru 2007
Peru 2017
Philippines 1990
Philippines 2000
Philippines 2010
Poland 1978
Poland 1988
Poland 2002
Portugal 1981 - Portuguese
Portugal 1991 - Portuguese
Portugal 2001 - Portuguese
Portugal 2011
Puerto Rico 1970
Puerto Rico 1980
Puerto Rico 1990
Puerto Rico 2000-2005
Puerto Rico 2010
Puerto Rico 2015
Puerto Rico 2020
Romania 1977
Romania 1992
Romania 2002
Romania 2011
Rwanda 2002 - French
Rwanda 2012
Saint Lucia 1991
Senegal 1988
Senegal 2002
Senegal 2013
Slovak Republic 1991
Slovak Republic 2001
Slovak Republic 2011
Sierra Leone 2004
Sierra Leone 2015
Slovenia 2002
South Africa 1996
South Africa 2001
South Africa 2007
South Sudan 2008
Spain 1981 - Spanish
Spain 1991 - Spanish
Spain 2001 - Spanish
Spain 2011
Spain Surveys 2005-2020
Sudan 2008
Suriname 2004
Suriname 2012
Switzerland 1970
Switzerland 1980
Switzerland 1990
Switzerland 2000
Switzerland 2011
Tanzania 1988
Tanzania 2002
Tanzania 2012
Thailand 1970
Thailand 1980
Thailand 1990
Thailand 2000
Togo 1960
Togo 1970
Togo 2010
Trinidad and Tobago 1990
Trinidad and Tobago 2000
Trinidad and Tobago 2011
Turkey 1985
Turkey 1990
Turkey 2000
Uganda 1991
Uganda 2002
Uganda 2014
United Kingdom 1961
United Kingdom 1971
United Kingdom 1991
United Kingdom 2001
United States 1960
United States 1970
United States 1980
United States 1990
United States 2000-2005
United States 2010
United States 2015
United States 2020
Uruguay 1963
Uruguay 1975
Uruguay 1996
Uruguay 2006
Venezuela 1981
Venezuela 1990
Venezuela 2001 - Spanish
Vietnam 1989
Vietnam 1999
Vietnam 2009
Vietnam 2019
Zambia 1990
Zambia 2000
Zambia 2010
Zimbabwe 2012Work 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.
CodesArgentina 1970 - Spanish
Argentina 1980 - Spanish
Argentina 1991 - Spanish
Argentina 2001 - Spanish
Armenia 2001
Armenia 2011
Austria 1971-2001 - German
Austria 2011
Bangladesh 1991
Bangladesh 2001
Bangladesh 2011
Belarus 2009
Benin 1979
Benin 1992
Benin 2002
Benin 2013
Bolivia 1976
Bolivia 1992
Bolivia 2001
Bolivia 2012
Botswana 1981
Botswana 1991
Botswana 2001
Botswana 2011
Brazil 1960 - Portuguese
Brazil 1970 - Portuguese
Brazil 1980 - Portuguese
Brazil 1991 - Portuguese
Brazil 2000 - Portuguese
Brazil 2010
Burkina Faso 1996
Cambodia 1998
Cambodia 2004
Cambodia 2008
Cambodia 2013
Cambodia 2019
Cameroon 2005
Canada 1971
Canada 1981
Canada 1991-2001
Canada 2011
Chile 1960
Chile 1970
Chile 1982
Chile 1992
Chile 2002
Chile 2017
China 1982
China 1990
China 2000
Colombia 1964 - Spanish
Colombia 1973 - Spanish
Colombia 1993 - Spanish
Colombia 2005 - Spanish
Costa Rica 1963
Costa Rica 1973
Costa Rica 1984
Costa Rica 2000
Costa Rica 2011
Cote d’Ivoire 1988
Cote d’Ivoire 1998
Cuba 2002
Cuba 2012
Dominican Republic 1960
Dominican Republic 1970
Dominican Republic 1981
Dominican Republic 2002
Dominican Republic 2010
Ecuador 1962
Ecuador 1982
Ecuador 1990
Ecuador 2001
Ecuador 2010
Egypt 1986
Egypt 1996
Egypt 2006
El Salvador 1992
El Salvador 2007
Ethiopia 1984
Ethiopia 1994
Fiji 1966
Fiji 1976
Fiji 1986
Fiji 1996
Fiji 2007
Fiji 2014
Finland 2010
France 1962-1968 - French
France 1975-1982 - French
France 1990 - French
France 1999
France 2006
France 2011
Germany 1970
Germany 1971
Germany 1981
Germany 1987
Ghana 1984
Ghana 2000
Ghana 2010
Greece 1971
Greece 1981
Greece 1991-2001
Greece 2011
Guatemala 1964
Guatemala 1973
Guatemala 1981
Guatemala 1994
Guatemala 2002
Guinea 1983
Guinea 2014
Haiti 1971
Haiti 1982
Haiti 2003
Honduras 1961
Honduras 1974
Honduras 2001
Hungary 2001
Hungary 2011
India 1983
India 1987
India 1993
India 1999
India 2004
India 2009
Indonesia 1971
Indonesia 1976
Indonesia 1980
Indonesia 1985
Indonesia 1990
Indonesia 1995
Indonesia 2000
Indonesia 2005
Indonesia 2010
Iran 2006
Iran 2011
Iraq 1997
Ireland 1971
Ireland 1981
Ireland 1986
Ireland 1991
Ireland 1996
Ireland 2002
Ireland 2006
Ireland 2011
Ireland 2016
Israel 1972
Israel 1983
Israel 1995
Israel 2008
Italy 2001
Italy 2011
Italy Surveys 2011-2013
Italy Surveys 2014-2020
Jamaica 1982
Jamaica 1991
Jamaica 2001
Jordan 2004
Kyrgyz Republic 1999
Kyrgyz Republic 2009
Laos 1995
Laos 2005
Laos 2015
Lesotho 2006
Liberia 1974
Liberia 2008
Malawi 1987
Malawi 1998
Malawi 2008
Malaysia 1970
Malaysia 1980-1991
Malaysia 2000
Mali 1987
Mali 1998
Mali 2009
Mauritius 1990
Mauritius 2000
Mauritius 2011
Mexico 1960 - Spanish
Mexico 1970 - Spanish
Mexico 1990 - Spanish
Mexico 1995 - Spanish
Mexico 2000 - Spanish
Mexico 2010
Mexico 2015
Mexico 2020
Mexico surveys 2005-2019
Morocco 1982
Morocco 1994
Morocco 2004
Morocco 2014
Mozambique 1997
Mozambique 2007
Myanmar 2014
Nepal 2001
Nepal 2011
Netherlands 1960
Netherlands 1971
Netherlands 2001
Netherlands 2011
Nicaragua 1971
Nicaragua 1995
Nicaragua 2005
Nigeria 2006
Nigeria 2007
Nigeria 2008
Nigeria 2009
Nigeria 2010
Pakistan 1973
Palestine 1997
Palestine 2007
Palestine 2017
Panama 1960 - Spanish
Panama 1970-1980 - Spanish
Panama 1990-2000 - Spanish
Panama 2010
Papua New Guinea 1980
Papua New Guinea 2000
Paraguay 1962
Paraguay 1972
Paraguay 1982
Paraguay 1992
Paraguay 2002
Peru 1993
Peru 2007
Peru 2017
Philippines 1990
Philippines 1995
Philippines 2000
Philippines 2010
Poland 1978
Poland 2002
Portugal 1981 - Portuguese
Portugal 1991-2001 - Portuguese
Portugal 2011
Puerto Rico 1970-2005
Puerto Rico 2010
Puerto Rico 2015
Puerto Rico 2020
Romania 1977
Romania 1992
Romania 2002
Romania 2011
Rwanda 2002 - French
Rwanda 2012
Saint Lucia 1991
Senegal 1988
Senegal 2013
Sierra Leone 2004
South Africa 1996
South Africa 2001-2007
South Sudan 2008
Spain 1981 - Spanish
Spain 1991 - Spanish
Spain 2001 - Spanish
Spain 2011
Spain Surveys 2005-2020
Sudan 2008
Suriname 2004
Suriname 2012
Switzerland 1970-2000
Switzerland 2011
Tanzania 2002
Tanzania 2012
Thailand 1970
Thailand 1980
Thailand 1990
Thailand 2000
Togo 1970
Togo 2010
Trinidad and Tobago 1980
Trinidad and Tobago 1990
Trinidad and Tobago 2000
Turkey 1985
Turkey 1990
Turkey 2000
Uganda 2002
United Kingdom 1961
United Kingdom 1971
United Kingdom 1991
United Kingdom 2001
United States 1960
United States 1970
United States 1980
United States 1990
United States 2000-2005
United States 2010
United States 2015
United States 2020
Uruguay 1963
Uruguay 1985
Uruguay 1996
Uruguay 2006
Venezuela 1981
Venezuela 1990
Venezuela 2001 - Spanish
Vietnam 1989
Vietnam 1999
Vietnam 2009
Vietnam 2019
Zambia 1990
Zambia 2000
Zambia 2010Work Variables -- PERSONDays worked last weekDAYSWRK indicates the number of days worked by the person during the week preceding the enumeration.0Did not work11 day22 days33 days44 days55 days66 days77 days8Unknown9NIU (not in universe)Work Variables -- PERSONSource of livelihoodINCSRC indicates the respondent's primary source of livelihood, whether from work, benefits, or various other categories.01Work02Property or entrepreneurial income03Pension04Unemployment benefits05Illness or disability benefits06Other social support07Under state security or care08Scholarship09Apprenticeship10Credits, savings, or capital sale11Household support (dependent)12Assistance from relatives in country13Assistance from relatives, acquintances abroad14Multiple sources15Other98UnknownIncome Variables -- PERSONMigration status, 5 yearsMIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same major, different minor administrative unit20Different major administrative unit30Abroad99Unknown/missingMigration: Global Variables -- PERSON1st subnational geographic level of residence 5 years prior to survey, world [consistent boundaries over time]GEOMIG1_5 indicates the major administrative unit in which the person resided five years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence five years ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_5 match the geographic codes in GEOLEV1 (current place of residence).
For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_10. More on migration and geography can be found here.032002City of Buenos Aires [Province: Argentina]032006Buenos Aires province [Province: Argentina]032010Catamarca [Province: Argentina]032014Córdoba [Province: Argentina]032018Corrientes [Province: Argentina]032022Chaco [Province: Argentina]032026Chubut [Province: Argentina]032030Entre Ríos [Province: Argentina]032034Formosa [Province: Argentina]032038Jujuy [Province: Argentina]032042La Pampa [Province: Argentina]032046La Rioja [Province: Argentina]032050Mendoza [Province: Argentina]032054Misiones [Province: Argentina]032058Neuquén [Province: Argentina]032062Río Negro [Province: Argentina]032066Salta [Province: Argentina]032070San Juan [Province: Argentina]032074San Luis [Province: Argentina]032078Santa Cruz [Province: Argentina]032082Santa Fe [Province: Argentina]032086Santiago del Estero [Province: Argentina]032090Tucumán [Province: Argentina]032094Tierra del Fuego [Province: Argentina]032096Argentina, unknown [Province: Argentina]032097Foreign country [Province: Argentina]032098Unknown [Province: Argentina]032999NIU (not in universe) [Province: Argentina]068001Chuquisaca [Department: Bolivia]068002La Paz [Department: Bolivia]068003Cochabamba [Department: Bolivia]068004Oruro [Department: Bolivia]068005Potosí [Department: Bolivia]068006Tarija [Department: Bolivia]068007Santa Cruz [Department: Bolivia]068008Beni [Department: Bolivia]068009Pando [Department: Bolivia]068096Bolivia, province unknown [Department: Bolivia]068097Foreign country [Department: Bolivia]068098Unknown [Department: Bolivia]068099NIU (not in universe) [Department: Bolivia]072001Gaborone [District: Botswana]072002Francistown [District: Botswana]072003Lobatse [District: Botswana]072004Selebi Phikwe [District: Botswana]072007Central Tutume, Sowa [District: Botswana]072010Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana]072011Borolong [District: Botswana]072020South East [District: Botswana]072030Kweneng, Kweneng South, Kweneng North [District: Botswana]072040Kgatleng [District: Botswana]072050Central Serowe/Palapye [District: Botswana]072051Central Mahalapye [District: Botswana]072052Central Bobonong [District: Botswana]072053Central Boteti, Orapa [District: Botswana]072060North East [District: Botswana]072070Ngamiland East [District: Botswana]072071Ngamiland West, Delta [District: Botswana]072072Chobe [District: Botswana]072080Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana]072090Tshabong (Kgalagadi South) [District: Botswana]072091Hukunsti (Kgalagadi North) [District: Botswana]072092Botswana, district unknown [District: Botswana]072097Abroad [District: Botswana]072098Unknown [District: Botswana]072099NIU (not in universe) [District: Botswana]076011Rondônia [State: Brazil]076012Acre [State: Brazil]076013Amazonas [State: Brazil]076014Roraima [State: Brazil]076015Pará [State: Brazil]076016Amapá [State: Brazil]076021Maranhão [State: Brazil]076022Piauí [State: Brazil]076023Ceará [State: Brazil]076024Rio Grande do Norte [State: Brazil]076025Paraíba [State: Brazil]076026Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil]076027Alagoas [State: Brazil]076028Sergipe [State: Brazil]076029Bahia [State: Brazil]076031Minas Gerais [State: Brazil]076032Espírito Santo [State: Brazil]076033Rio de Janeiro, Guanabara [State: Brazil]076035São Paulo [State: Brazil]076036Serra dos Aimorés [State: Brazil]076041Paraná [State: Brazil]076042Santa Catarina [State: Brazil]076043Rio Grande do Sul [State: Brazil]076051Mato Grosso do Sul, Mato Grosso [State: Brazil]076052Goiás, Tocantins [State: Brazil]076053Distrito Federal [State: Brazil]076054Brazil, unspecified [State: Brazil]076097Abroad [State: Brazil]076098Unknown [State: Brazil]076099NIU (not in universe) [State: Brazil]120002Centre, Sud [Province: Cameroon]120003Est [Province: Cameroon]120004Nord, Adamoua, Extrème Nord [Province: Cameroon]120005Littoral [Province: Cameroon]120007Nord Ouest [Province: Cameroon]120008Ouest [Province: Cameroon]120010Sud Ouest [Province: Cameroon]120096Cameroon - unknown arrondissement [Province: Cameroon]120097Foreign country [Province: Cameroon]120098Unknown [Province: Cameroon]120099NIU (not in universe) [Province: Cameroon]124010Newfoundland and Labrador [Province: Canada]124011Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada]124012Nova Scotia [Province: Canada]124013New Brunswick [Province: Canada]124024Quebec [Province: Canada]124035Ontario [Province: Canada]124046Manitoba [Province: Canada]124047Saskatchewan [Province: Canada]124048Alberta [Province: Canada]124059British Columbia [Province: Canada]124099NIU (not in universe) [Province: Canada]152014Iquique, Tamarugal [Province: Chile]152021Antofagasta [Province: Chile]152022El Loa [Province: Chile]152023Tocopilla [Province: Chile]152031Copiapó [Province: Chile]152032Chañaral [Province: Chile]152033Huasco [Province: Chile]152041Elqui [Province: Chile]152042Choapa [Province: Chile]152043Limarí [Province: Chile]152051Valparaíso, Quillota, Marga Marga, Isla de Pascua [Province: Chile]152053Los Andes [Province: Chile]152054Petorca [Province: Chile]152056San Antonio [Province: Chile]152057San Felipe de Aconcagüa [Province: Chile]152061Cachapoal [Province: Chile]152062Cardenal Caro [Province: Chile]152063Colchagua [Province: Chile]152071Talca [Province: Chile]152072Cauquenes [Province: Chile]152073Curicó [Province: Chile]152074Linares [Province: Chile]152081Concepción [Province: Chile]152082Arauco [Province: Chile]152083Biobío [Province: Chile]152091Cautín [Province: Chile]152092Malleco [Province: Chile]152101Llanquihue [Province: Chile]152102Chiloé, Palena [Province: Chile]152103Osorno [Province: Chile]152111Coihaique [Province: Chile]152112Aisén, General Carrera, Capitan Prat [Province: Chile]152121Magallanes, Tierra del Fuego, Antártica Chilena [Province: Chile]152124Última Esperanza [Province: Chile]152131Santiago [Province: Chile]152132Cordillera [Province: Chile]152133Chacabuco [Province: Chile]152134Maipo [Province: Chile]152135Melipilla [Province: Chile]152136Talagante [Province: Chile]152141Valdivia, Ranco [Province: Chile]152151Arica, Parinacota [Province: Chile]152163Diguillín, Itata, Punilla [Province: Chile]152997Foreign country [Province: Chile]152998Unknown [Province: Chile]152999NIU (not in universe) [Province: Chile]156011Beijing [Province: China]156012Tianjin [Province: China]156013Hebei [Province: China]156014Shanxi [Province: China]156015Inner Mongolia [Province: China]156021Liaoning [Province: China]156022Jilin [Province: China]156023Heilongjiang [Province: China]156031Shanghai [Province: China]156032Jiangsu [Province: China]156033Zhejiang [Province: China]156034Anhui [Province: China]156035Fujian [Province: China]156036Jiangxi [Province: China]156037Shandong [Province: China]156041Henan [Province: China]156042Hubei [Province: China]156043Hunan [Province: China]156044Guangdong, Hainan [Province: China]156045Guangxi [Province: China]156051Sichuan, Chongqing [Province: China]156052Guizhou [Province: China]156053Yunnan [Province: China]156054Tibet [Province: China]156061Shaanxi [Province: China]156062Gansu [Province: China]156063Qinghai [Province: China]156064Ningxia [Province: China]156065Xinjiang [Province: China]156071Taiwan [China]156072Hong Kong [China]156073Macao [China]156097Other countries [Province: China]156099NIU (not in universe) [Province: China]170005Antioquia [Department: Colombia]170008Atlántico [Department: Colombia]170011Bogotá D.C., Cundinamarca [Department: Colombia]170013Bolívar, Sucre [Department: Colombia]170015Boyacá, Casanare [Department: Colombia]170018Caquetá [Department: Colombia]170019Cauca [Department: Colombia]170023Córdoba [Department: Colombia]170027Chocó [Department: Colombia]170041Huila [Department: Colombia]170044La Guajira [Department: Colombia]170050Meta [Department: Colombia]170052Nariño [Department: Colombia]170054Cesar, Norte De Santander, Magdalena [Department: Colombia]170066Caldas, Quindío, Risaralda [Department: Colombia]170068Santander [Department: Colombia]170073Tolima [Department: Colombia]170076Valle Del Cauca [Department: Colombia]170081Arauca [Department: Colombia]170086Putumayo [Department: Colombia]170088Archipiélago De San Andrés Y Providencia [Department: Colombia]170095Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia]170097Abroad, [Department: Colombia]170098Unknown, [Department: Colombia]170099NIU (not in universe), [Department: Colombia]188001San José [Province: Costa Rica]188002Alajuela [Province: Costa Rica]188003Cartago [Province: Costa Rica]188004Heredia [Province: Costa Rica]188005Guanacaste [Province: Costa Rica]188006Puntarenas [Province: Costa Rica]188007Limón [Province: Costa Rica]188097Foreign country [Province: Costa Rica]188098Unknown [Province: Costa Rica]188099NIU (not in universe) [Province: Costa Rica]214001Distrito Nacional, Santo Domingo [Province: Dominican Republic]214002Azua [Province: Dominican Republic]214003Baoruco, Barahona, Independencia [Province: Dominican Republic]214005Dajabón [Province: Dominican Republic]214006Duarte [Province: Dominican Republic]214007Elías Piña [Province: Dominican Republic]214008El Seibo, Hato Mayor [Province: Dominican Republic]214009Espaillat [Province: Dominican Republic]214011La Altagracia, La Romana [Province: Dominican Republic]214013Monseñor Nouel, La Vega [Province: Dominican Republic]214014María Trinidad Sánchez [Province: Dominican Republic]214015Monte Cristi [Province: Dominican Republic]214016Pedernales [Province: Dominican Republic]214017San José de Ocoa, Peravia [Province: Dominican Republic]214018Puerto Plata, Santiago [Province: Dominican Republic]214019Hermanas Mirabal [Province: Dominican Republic]214020Samaná [Province: Dominican Republic]214021San Cristóbal, Monte Plata [Province: Dominican Republic]214022San Juan [Province: Dominican Republic]214023San Pedro De Macorís [Province: Dominican Republic]214024Sánchez Ramírez [Province: Dominican Republic]214026Santiago Rodríguez [Province: Dominican Republic]214027Valverde [Province: Dominican Republic]214097Foreign country [Province: Dominican Republic]214098Unknown [Province: Dominican Republic]214099NIU (not in universe) [Province: Dominican Republic]218001Azuay [Province: Ecuador]218002Bolívar [Province: Ecuador]218004Carchi [Province: Ecuador]218005Cotopaxi [Province: Ecuador]218006Chimborazo [Province: Ecuador]218007El Oro [Province: Ecuador]218009Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador]218010Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador]218011Loja [Province: Ecuador]218014Morona Santiago [Province: Ecuador]218016Pastaza [Province: Ecuador]218018Tungurahua [Province: Ecuador]218019Zamora Chinchipe [Province: Ecuador]218021Napo, Orellana, Sucumbíos [Province: Ecuador]218097Foreign country [Province: Ecuador]218098Unknown and Disputed Zones [Province: Ecuador]218999NIU (not in universe) [Province: Ecuador]242001Central [Province: Fiji]242002Eastern [Province: Fiji]242003Northern [Province: Fiji]242004Western [Province: Fiji]242097Foreign country [Province: Fiji]242098Unknown [Province: Fiji]242999NIU (not in universe) [Province: Fiji]288001Western [Region: Ghana]288002Central [Region: Ghana]288003Greater Accra [Region: Ghana]288004Volta [Region: Ghana]288005Eastern [Region: Ghana]288006Ashanti [Region: Ghana]288007Brong Ahafo [Region: Ghana]288008Northern [Region: Ghana]288009Upper East [Region: Ghana]288010Upper West [Region: Ghana]288098Unknown [Region: Ghana]288099NIU (not in universe) [Region: Ghana]300001Etolia and Akarnania [Department: Greece]300003Viotia [Department: Greece]300004Evia [Department: Greece]300005Evrytania [Department: Greece]300006Fthiotida [Department: Greece]300007Fokida [Department: Greece]300011Argolida [Department: Greece]300012Arkadia [Department: Greece]300013Achaia [Department: Greece]300014Ilia [Department: Greece]300015Korinthia [Department: Greece]300016Lakonia [Department: Greece]300017Messinia [Department: Greece]300021Zakynthos [Department: Greece]300022Kerkyra [Department: Greece]300023Kefallinia [Department: Greece]300024Lefkada [Department: Greece]300031Arta [Department: Greece]300032Thesprotia [Department: Greece]300033Ioannina [Department: Greece]300034Preveza [Department: Greece]300041Karditsa [Department: Greece]300042Larissa [Department: Greece]300043Magnissia [Department: Greece]300044Trikala [Department: Greece]300051Grevena [Department: Greece]300052Drama [Department: Greece]300053Imathia [Department: Greece]300054Thessaloniki [Department: Greece]300055Kavala [Department: Greece]300056Kastoria [Department: Greece]300057Kilkis [Department: Greece]300058Kozani [Department: Greece]300059Pella [Department: Greece]300061Pieria [Department: Greece]300062Serres [Department: Greece]300063Florina [Department: Greece]300064Chalkidiki and Agion Oros [Department: Greece]300071Evros [Department: Greece]300072Xanthi [Department: Greece]300073Rodopi [Department: Greece]300081Dodekanissos [Department: Greece]300082Kyklades [Department: Greece]300083Lesvos [Department: Greece]300084Samos [Department: Greece]300085Chios [Department: Greece]300091Iraklio [Department: Greece]300092Lassithi [Department: Greece]300093Rethymno [Department: Greece]300094Chania [Department: Greece]300101Prefecture of Athens [Department: Greece]300102Prefecture of East Attiki [Department: Greece]300103Prefecture of West Attiki [Department: Greece]300104Prefecture of Pireas [Department: Greece]300996Foreign country [Department: Greece]300997Response suppressed [Department: Greece]300998Unknown [Department: Greece]300999NIU (not in universe) [Department: Greece]320001Guatemala [Department: Guatemala]320002El Progreso [Department: Guatemala]320003Sacatepéquez [Department: Guatemala]320004Chimaltenango [Department: Guatemala]320005Escuintla [Department: Guatemala]320006Santa Rosa [Department: Guatemala]320007Sololá [Department: Guatemala]320008Totonicapán [Department: Guatemala]320009Quetzaltenango [Department: Guatemala]320010Suchitepéquez [Department: Guatemala]320011Retalhuleu [Department: Guatemala]320012San Marcos [Department: Guatemala]320013Huehuetenango [Department: Guatemala]320014Quiché [Department: Guatemala]320015Baja Verapaz [Department: Guatemala]320016Alta Verapaz [Department: Guatemala]320017Petén [Department: Guatemala]320018Izabal [Department: Guatemala]320019Zacapa [Department: Guatemala]320020Chiquimula [Department: Guatemala]320021Jalapa [Department: Guatemala]320022Jutiapa [Department: Guatemala]320097Foreign Country [Department: Guatemala]320098Unknown [Department: Guatemala]320099NIU [Department: Guatemala]332003Nord (North) and Nord'est (North East) [Department: Haiti]332006Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]332007Grand'Anse, Nippes, Sud (South) [Department: Haiti]332009Nord'Ouest (North West) [Department: Haiti]332097Foreign Country [Department: Haiti]332098Unknown [Department: Haiti]332099NIU (not in universe) [Department: Haiti]340001Atlántida [Department: Honduras]340002Colón [Department: Honduras]340003Comayagua [Department: Honduras]340004Copán [Department: Honduras]340005Cortés [Department: Honduras]340006Choluteca [Department: Honduras]340007El Paraíso [Department: Honduras]340008Francisco Morazán [Department: Honduras]340009Gracias a Dios [Department: Honduras]340010Intibucá [Department: Honduras]340011Islas de la Bahía [Department: Honduras]340012La Paz [Department: Honduras]340013Lempira [Department: Honduras]340014Ocotepeque [Department: Honduras]340015Olancho [Department: Honduras]340016Santa Bárbara [Department: Honduras]340017Valle [Department: Honduras]340018Yoro [Department: Honduras]340097Abroad [Department: Honduras]340098Unknown [Department: Honduras]340999NIU (not in universe) [Department: Honduras]360011Nanggroe Aceh Darussalam [Province: Indonesia]360012Sumatera Utara [Province: Indonesia]360013Sumatera Barat [Province: Indonesia]360014Kepulauan Riau, Riau [Province: Indonesia]360015Jambi [Province: Indonesia]360016Bangka Belitung, Sumatera Selatan [Province: Indonesia]360017Bengkulu [Province: Indonesia]360018Lampung [Province: Indonesia]360031DKI Jakarta [Province: Indonesia]360032Banten, Jawa Barat [Province: Indonesia]360033Jawa Tengah [Province: Indonesia]360034DKI Yogyakarta [Province: Indonesia]360035Jawa Timur [Province: Indonesia]360051Bali [Province: Indonesia]360052Nusa Tenggara Barat [Province: Indonesia]360053Nusa Tenggara Timur [Province: Indonesia]360061Kalimantan Barat [Province: Indonesia]360062Kalimantan Tengah [Province: Indonesia]360063Kalimantan Selatan [Province: Indonesia]360064Kalimantan Timur [Province: Indonesia]360071Gorontalo, Sulawesi Utara [Province: Indonesia]360072Sulawesi Tengah [Province: Indonesia]360073Sulawesi Barat, Sulawesi Selatan [Province: Indonesia]360074Sulawesi Tenggara [Province: Indonesia]360081Maluku, Maluku Utara [Province: Indonesia]360094Papua, Papua Barat [Province: Indonesia]360097Abroad [Province: Indonesia]360098Unknown [Province: Indonesia]360099NIU (not in universe) [Province: Indonesia]360626East Timor [Province: Indonesia]376001Jerusalem [District: Israel]376002Northern [District: Israel]376003Haifa [District: Israel]376004Central [District: Israel]376005Tel-Aviv [District: Israel]376006Southern [District: Israel]376071Golan [District: Israel]376072Judea, Samaria and Gaza areas [District: Israel]376098Unknown [District: Israel]376099NIU (not in universe) [District: Israel]458001Johor [State: Malaysia]458002Kedah [State: Malaysia]458003Kelantan [State: Malaysia]458004Melaka [State: Malaysia]458005Negeri Sembilan [State: Malaysia]458006Pahang [State: Malaysia]458007Pulau Pinang [State: Malaysia]458008Perak [State: Malaysia]458009Perlis [State: Malaysia]458010Selangor, Kuala Lumpur Federal Territory [State: Malaysia]458011Terengganu [State: Malaysia]458012Sabah, Labuan Federal Territory [State: Malaysia]458013Sarawak [State: Malaysia]458097Other countries [State: Malaysia]458098Unknown [State: Malaysia]480011Port Louis [District: Mauritius]480012Pamplemousses [District: Mauritius]480013Rivière du Rempart [District: Mauritius]480014Flacq [District: Mauritius]480015Grand Port [District: Mauritius]480016Savanne [District: Mauritius]480017Plaines Wilhems [District: Mauritius]480018Moka [District: Mauritius]480019Black River [District: Mauritius]480020Rodrigues, Agaléga Islands, Saint Brandon [District: Mauritius]480097Abroad [District: Mauritius]480098Unknown [District: Mauritius]480099NIU [District: Mauritius]484001Aguascalientes [State: Mexico]484002Baja California [State: Mexico]484003Baja California Sur [State: Mexico]484004Campeche [State: Mexico]484005Coahuila de Zaragoza [State: Mexico]484006Colima [State: Mexico]484007Chiapas [State: Mexico]484008Chihuahua [State: Mexico]484009Distrito Federal [State: Mexico]484010Durango [State: Mexico]484011Guanajuato [State: Mexico]484012Guerrero [State: Mexico]484013Hidalgo [State: Mexico]484014Jalisco [State: Mexico]484015México [State: Mexico]484016Michoacán de Ocampo [State: Mexico]484017Morelos [State: Mexico]484018Nayarit [State: Mexico]484019Nuevo León [State: Mexico]484020Oaxaca [State: Mexico]484021Puebla [State: Mexico]484022Querétaro [State: Mexico]484023Quintana Roo [State: Mexico]484024San Luis Potosí [State: Mexico]484025Sinaloa [State: Mexico]484026Sonora [State: Mexico]484027Tabasco [State: Mexico]484028Tamaulipas [State: Mexico]484029Tlaxcala [State: Mexico]484030Veracruz de Ignacio de la Llave [State: Mexico]484031Yucatán [State: Mexico]484032Zacatecas [State: Mexico]484097Abroad [State: Mexico]484098Unknown [State: Mexico]484099NIU (not in universe) [State: Mexico]496001Arkhangai [Province: Mongolia]496002Bayan-Olgii [Province: Mongolia]496003Bayankhongor [Province: Mongolia]496004Bulgan [Province: Mongolia]496005Govi-Altai [Province: Mongolia]496006Dornogovi, Govisumber [Province: Mongolia]496007Dornod [Province: Mongolia]496008Dundgovi [Province: Mongolia]496009Zavkhan [Province: Mongolia]496010Ovorkhangai [Province: Mongolia]496011Omnogovi [Province: Mongolia]496012Sukhbaatar [Province: Mongolia]496013Selenge [Province: Mongolia]496014Tov [Province: Mongolia]496015Uvs [Province: Mongolia]496016Khovd [Province: Mongolia]496017Khovsgol [Province: Mongolia]496018Khentii [Province: Mongolia]496019Darkhan-Uul [Province: Mongolia]496020Ulaanbaatar [Province: Mongolia]496021Orkhon [Province: Mongolia]496097Abroad [Province: Mongolia]496098Unknown [Province: Mongolia]496099NIU (not in universe) [Province: Mongolia]508001Niassa [Province: Mozambique]508002Cabo Delgado [Province: Mozambique]508003Nampula [Province: Mozambique]508004Zambézia [Province: Mozambique]508005Tete [Province: Mozambique]508006Manica [Province: Mozambique]508007Sofala [Province: Mozambique]508008Inhambane [Province: Mozambique]508009Gaza [Province: Mozambique]508010Maputo province [Province: Mozambique]508011Maputo city [Province: Mozambique]508097Foreign Country [Province: Mozambique][Province: Mozambique]508098Unknown [Province: Mozambique]508099NIU (not in universe) [Province: Mozambique]524001Mechi [Administrative Zone: Nepal]524002Koshi [Administrative Zone: Nepal]524003Sagarmatha [Administrative Zone: Nepal]524004Janakpur [Administrative Zone: Nepal]524005Bagmati [Administrative Zone: Nepal]524006Narayani [Administrative Zone: Nepal]524007Gandaki [Administrative Zone: Nepal]524008Dhawalagiri [Administrative Zone: Nepal]524009Lumbini [Administrative Zone: Nepal]524010Rapti [Administrative Zone: Nepal]524011Bheri [Administrative Zone: Nepal]524012Karnali [Administrative Zone: Nepal]524013Seti [Administrative Zone: Nepal]524014Mahakali [Administrative Zone: Nepal]524097Foreign Country [Administrative Zone: Nepal]524098Unknown [Administrative Zone: Nepal]524099NIU [Administrative Zone: Nepal]558005Nueva Segovia, Jinotega [Department: Nicaragua]558020Madriz [Department: Nicaragua]558025Estelí, León [Department: Nicaragua]558030Chinandega [Department: Nicaragua]558040Matagalpa, Atlantico Norte, Atlantico Sur, Zelaya [Department: Nicaragua]558050Boaco [Department: Nicaragua]558055Managua, Masaya [Department: Nicaragua]558065Chontales [Department: Nicaragua]558070Granada [Department: Nicaragua]558075Carazo [Department: Nicaragua]558080Rivas [Department: Nicaragua]558085Río San Juan [Department: Nicaragua]558097Abroad [Department: Nicaragua]558098Unknown [Department: Nicaragua]558999NIU (not in universe) [Department: Nicaragua]598001Western [Province: Papua New Guinea]598002Gulf [Province: Papua New Guinea]598003Central [Province: Papua New Guinea]598004National Capital District [Province: Papua New Guinea]598005Milne Bay [Province: Papua New Guinea]598006Northern [Province: Papua New Guinea]598007Southern Highlands, Hela [Province: Papua New Guinea]598008Enga [Province: Papua New Guinea]598009Western Highlands, Jiwaka [Province: Papua New Guinea]598010Chimbu [Province: Papua New Guinea]598011Eastern Highlands [Province: Papua New Guinea]598012Morobe [Province: Papua New Guinea]598013Madang [Province: Papua New Guinea]598014East Sepik [Province: Papua New Guinea]598015West Sepik [Province: Papua New Guinea]598016Manus [Province: Papua New Guinea]598017New Ireland [Province: Papua New Guinea]598018East New Britain [Province: Papua New Guinea]598019West New Britain [Province: Papua New Guinea]598020Autonomous Region of Bougainville [Province: Papua New Guinea]598097Foreign country [Province: Papua New Guinea]598098Unknown [Province: Papua New Guinea]598099NIU (not in universe) [Province: Papua New Guinea]600001Concepción [Department: Paraguay]600002San Pedro [Department: Paraguay]600003Cordillera [Department: Paraguay]600004Guaira [Department: Paraguay]600005Caaguazú, Canindeyú, Alto Paraná [Department: Paraguay]600006Caazapá [Department: Paraguay]600007Itapúa [Department: Paraguay]600008Misiones, Ñeembucú [Department: Paraguay]600009Paraguarí [Department: Paraguay]600011Central [Department: Paraguay]600013Amambay [Department: Paraguay]600015Alto Paraguay, Boquerón, Presidente Hayes [Department: Paraguay]600019Asunción [Department: Paraguay]600097Foreign Country [Department: Paraguay]600098Unknown [Department: Paraguay]600999NIU (not in universe) [Department: Paraguay]604001Amazonas [Department: Peru]604002Ancash [Department: Peru]604003Apurímac [Department: Peru]604004Arequipa [Department: Peru]604005Ayacucho [Department: Peru]604006Cajamarca [Department: Peru]604007Callao [Department: Peru]604008Cusco [Department: Peru]604009Huancavelica [Department: Peru]604010Huánuco [Department: Peru]604011Ica [Department: Peru]604012Junín [Department: Peru]604013La Libertad [Department: Peru]604014Lambayeque [Department: Peru]604015Lima [Department: Peru]604016Loreto [Department: Peru]604017Madre de Dios [Department: Peru]604018Moquegua [Department: Peru]604019Pasco [Department: Peru]604020Piura [Department: Peru]604021Puno [Department: Peru]604022San Martín [Department: Peru]604023Tacna [Department: Peru]604024Tumbes [Department: Peru]604025Ucayali [Department: Peru]604097Abroad [Department: Peru]604099NIU (not in universe) [Department: Peru]608001Abra [Province: Philippines]608002Agusan del norte [Province: Philippines]608003Agusan del sur [Province: Philippines]608004Aklan [Province: Philippines]608005Albay [Province: Philippines]608006Antique [Province: Philippines]608007Basilan, City Of Isabela [Province: Philippines]608008Bataan [Province: Philippines]608010Batangas [Province: Philippines]608011Benguet [Province: Philippines]608012Bohol [Province: Philippines]608013Bukidnon [Province: Philippines]608014Bulacan [Province: Philippines]608015Cagayan, Batanes [Province: Philippines]608016Camarines norte [Province: Philippines]608017Camarines Sur [Province: Philippines]608018Camiguin [Province: Philippines]608019Capiz [Province: Philippines]608020Catanduanes [Province: Philippines]608021Cavite [Province: Philippines]608022Cebu [Province: Philippines]608023Davao (Davao del Norte) [Province: Philippines]608024Davao del Sur, Davao Occidental [Province: Philippines]608025Davao Oriental [Province: Philippines]608026Eastern Samar [Province: Philippines]608027Ifugao [Province: Philippines]608028Ilocos Norte [Province: Philippines]608029Ilocos Sur [Province: Philippines]608030Iloilo, Guimaras [Province: Philippines]608031Isabela [Province: Philippines]608032Kalinga-Apayao, Apayo, Kalinga [Province: Philippines]608033La Union [Province: Philippines]608034Laguna [Province: Philippines]608035Lanao del Norte [Province: Philippines]608036Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines]608037Leyte, Biliran [Province: Philippines]608039Manila [Province: Philippines]608040Marinduque [Province: Philippines]608041Masbate [Province: Philippines]608042Misamis Occidental [Province: Philippines]608043Misamis Oriental [Province: Philippines]608044Mountain Province [Province: Philippines]608045Negros Occidental [Province: Philippines]608046Negros Oriental [Province: Philippines]608047Cotabato (North Cotabato) [Province: Philippines]608048Northern Samar [Province: Philippines]608049Nueva Ecija [Province: Philippines]608050Nueva Vizcaya [Province: Philippines]608051Occidental Mindoro [Province: Philippines]608052Oriental Mindoro [Province: Philippines]608053Palawan [Province: Philippines]608054Pampanga [Province: Philippines]608055Pangasinan [Province: Philippines]608056Quezon [Province: Philippines]608057Quirino [Province: Philippines]608058Rizal [Province: Philippines]608059Romblon [Province: Philippines]608060Samar (Western Samar) [Province: Philippines]608061Siquijor [Province: Philippines]608062Sorsogon [Province: Philippines]608063South Cotabato, Sarangani [Province: Philippines]608064Southern Leyte [Province: Philippines]608065Sultan Kudarat [Province: Philippines]608066Sulu [Province: Philippines]608067Surigao Del Norte, Dinagat islands [Province: Philippines]608068Surigao del Sur [Province: Philippines]608069Tarlac [Province: Philippines]608070Tawi-Tawi [Province: Philippines]608071Zambales [Province: Philippines]608072Zamboanga Norte [Province: Philippines]608073Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines]608074Manila Metro, 2nd District [Province: Philippines]608075Manila Metro, 3rd District [Province: Philippines]608076Manila Metro, 4th District [Province: Philippines]608077Aurora [Province: Philippines]608097Foreign country [Province: Philippines]608098Unknown [Province: Philippines]608099NIU (not in universe) [Province: Philippines]620111Minho-Lima [Subregion (NUTS-3): Portugal]620112Cávado [Subregion (NUTS-3): Portugal]620113Ave [Subregion (NUTS-3): Portugal]620114Grande Porto [Subregion (NUTS-3): Portugal]620115Tâmega [Subregion (NUTS-3): Portugal]620116Entre Douro e Vouga [Subregion (NUTS-3): Portugal]620117Douro [Subregion (NUTS-3): Portugal]620118Alto Trás-os-Montes [Subregion (NUTS-3): Portugal]620150Algarve [Subregion (NUTS-3): Portugal]620161Baixo Vouga [Subregion (NUTS-3): Portugal]620162Baixo Mondego [Subregion (NUTS-3): Portugal]620163Pinhal Litoral [Subregion (NUTS-3): Portugal]620165Dão-Lafões [Subregion (NUTS-3): Portugal]620166Oeste [Subregion (NUTS-3): Portugal]620167Médio Tejo [Subregion (NUTS-3): Portugal]620169Other Center [Subregion (NUTS-3): Portugal]620171Grande Lisboa [Subregion (NUTS-3): Portugal]620172Península de Setúbal [Subregion (NUTS-3): Portugal]620185Lezíria do Tejo [Subregion (NUTS-3): Portugal]620189Other Alentejo [Subregion (NUTS-3): Portugal]620200Região Autónoma dos Açores [Subregion (NUTS-3): Portugal]620300Região Autónoma da Madeira [Subregion (NUTS-3): Portugal]620998Foreign country [Subregion (NUTS-3): Portugal]620999NIU (not in universe) [Subregion (NUTS-3): Portugal]686001Dakar [Region: Senegal]686002Ziguinchor [Region: Senegal]686003Diourbel [Region: Senegal]686004Saint Louis, Louga, Matam [Region: Senegal]686005Tambacounda, Kedougou [Region: Senegal]686006Kaolack, Fatick, Kaffrine [Region: Senegal]686007Thiès [Region: Senegal]686010Kolda, Sedhiou [Region: Senegal]686097Abroad [Region: Senegal]686098Unknown [Region: Senegal]686099NIU (not in universe) [Region: Senegal]694011Kailahun [District: Sierra Leone]694012Kenema [District: Sierra Leone]694013Kono [District: Sierra Leone]694021Bombali [District: Sierra Leone]694022Kambia [District: Sierra Leone]694023Koinadugu [District: Sierra Leone]694024Port Loko [District: Sierra Leone]694025Tonkolili [District: Sierra Leone]694031Bo [District: Sierra Leone]694032Bonthe [District: Sierra Leone]694033Moyamba [District: Sierra Leone]694034Pujehun [District: Sierra Leone]694041Western Rural [District: Sierra Leone]694042Western Urban [District: Sierra Leone]694097Abroad [District: Sierra Leone]694098Unknown [District: Sierra Leone]694099NIU [District: Sierra Leone]704001Th nh Phố H Nội, Vĩnh Phúc, Ho Bình, Phú Thọ [Province: Vietnam]704002H Giang, Tuyên Quang [Province: Vietnam]704003Cao Bằng, Bắc Kạn, Thái Nguyên [Province: Vietnam]704010L o Cai, Điện Biên, Lai Châu, Yên Bái [Province: Vietnam]704014Sơn La [Province: Vietnam]704020Lạng Sơn [Province: Vietnam]704022Quảng Ninh [Province: Vietnam]704024Bắc Giang, Bắc Ninh [Province: Vietnam]704030Hải Dương, Hưng Yên [Province: Vietnam]704031Th nh Phố Hải Phòng [Province: Vietnam]704034Thái Bình [Province: Vietnam]704035H Nam, Nam Định, Ninh Bình [Province: Vietnam]704038Thanh Hoá [Province: Vietnam]704040Nghệ An, H Tĩnh [Province: Vietnam]704044Quảng Bình [Province: Vietnam]704045Quảng Trị [Province: Vietnam]704046Thừa Thiên Huế [Province: Vietnam]704048Th nh Phố Đ Nẵng, Quảng Nam [Province: Vietnam]704051Quảng Ngãi [Province: Vietnam]704052Bình Định [Province: Vietnam]704054Phú Yên [Province: Vietnam]704056Khánh Ho [Province: Vietnam]704058Ninh Thuận, Bình Thuận [Province: Vietnam]704062Kon Tum, Gia Lai [Province: Vietnam]704066Đắk Lắk, Đắk Nông [Province: Vietnam]704068Lâm Đồng [Province: Vietnam]704070Bình Phước, Bình Dương [Province: Vietnam]704072Tây Ninh [Province: Vietnam]704075Đồng Nai, B Rịa - Vũng T u [Province: Vietnam]704079Th nh Phố Hồ Chí Minh [Province: Vietnam]704080Long An [Province: Vietnam]704082Tiền Giang [Province: Vietnam]704083Bến Tre [Province: Vietnam]704084Tr Vinh, Vĩnh Long [Province: Vietnam]704087Đồng Tháp [Province: Vietnam]704089An Giang [Province: Vietnam]704091Kiên Giang [Province: Vietnam]704092Th nh Phố Cần Thơ, Hậu Giang, Sóc Trăng [Province: Vietnam]704095Bạc Liêu, C Mau [Province: Vietnam]704097Foreign Country [Province: Vietnam]704098Unknown [Province: Vietnam]704099NIU [Province: Vietnam]710001Western Cape [Province: South Africa]710004Free State [Province: South Africa]710005Eastern Cape, KwaZulu-Natal [Province: South Africa]710007Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]710097Foreign country [Province: South Africa]710098Unknown [Province: South Africa]710099NIU (not in universe) [Province: South Africa]724011Galicia [Communities & autonomous city: Spain]724012Principado de Asturias [Communities & autonomous city: Spain]724013Cantabria [Communities & autonomous city: Spain]724021País Vasco [Communities & autonomous city: Spain]724022Comunidad Foral de Navarra [Communities & autonomous city: Spain]724023La Rioja [Communities & autonomous city: Spain]724024Aragón [Communities & autonomous city: Spain]724030Comunidad de Madrid [Communities & autonomous city: Spain]724041Castilla y León [Communities & autonomous city: Spain]724042Castilla-La Mancha [Communities & autonomous city: Spain]724043Extremadura [Communities & autonomous city: Spain]724051Cataluña [Communities & autonomous city: Spain]724052Comunidad Valenciana [Communities & autonomous city: Spain]724053Islas Baleares [Communities & autonomous city: Spain]724061Andalucía [Communities & autonomous city: Spain]724062Región de Murcia [Communities & autonomous city: Spain]724063Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain]724064Ciudad Autónoma de Melilla [Communities & autonomous city: Spain]724070Canarias [Communities & autonomous city: Spain]724097Foreign country [Communities & autonomous city: Spain]724999NIU [Communities & autonomous city: Spain]780010Port of Spain [Region: Trinidad and Tobago]780020San Fernando [Region: Trinidad and Tobago]780080Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago]Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago]780094St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago]780098Unknown [Region: Trinidad and Tobago]780099NIU (not in universe) [Region: Trinidad and Tobago]840001Alabama [State: United States]840002Alaska [State: United States]840004Arizona [State: United States]840005Arkansas [State: United States]840006California [State: United States]840008Colorado [State: United States]840009Connecticut [State: United States]840010Delaware [State: United States]840011District of Columbia [State: United States]840012Florida [State: United States]840013Georgia [State: United States]840015Hawaii [State: United States]840016Idaho [State: United States]840017Illinois [State: United States]840018Indiana [State: United States]840019Iowa [State: United States]840020Kansas [State: United States]840021Kentucky [State: United States]840022Louisiana [State: United States]840023Maine [State: United States]840024Maryland [State: United States]840025Massachusetts [State: United States]840026Michigan [State: United States]840027Minnesota [State: United States]840028Mississippi [State: United States]840029Missouri [State: United States]840030Montana [State: United States]840031Nebraska [State: United States]840032Nevada [State: United States]840033New Hampshire [State: United States]840034New Jersey [State: United States]840035New Mexico [State: United States]840036New York [State: United States]840037North Carolina [State: United States]840038North Dakota [State: United States]840039Ohio [State: United States]840040Oklahoma [State: United States]840041Oregon [State: United States]840042Pennsylvania [State: United States]840044Rhode Island [State: United States]840045South Carolina [State: United States]840046South Dakota [State: United States]840047Tennessee [State: United States]840048Texas [State: United States]840049Utah [State: United States]840050Vermont [State: United States]840051Virginia [State: United States]840053Washington [State: United States]840054West Virginia [State: United States]840055Wisconsin [State: United States]840056Wyoming [State: United States]840097Abroad [State: United States]840098Unknown [State: United States]840999NIU (not in universe) [State: United States]858001Montevideo [Department: Uruguay]858002Artigas [Department: Uruguay]858003Canelones [Department: Uruguay]858004Cerro Largo [Department: Uruguay]858005Colonia [Department: Uruguay]858006Durazno [Department: Uruguay]858007Flores [Department: Uruguay]858008Florida [Department: Uruguay]858009Lavalleja [Department: Uruguay]858010Maldonado [Department: Uruguay]858011Paysandú [Department: Uruguay]858012Río Negro [Department: Uruguay]858013Rivera [Department: Uruguay]858014Rocha [Department: Uruguay]858015Salto [Department: Uruguay]858016San Jose [Department: Uruguay]858017Soriano [Department: Uruguay]858018Tacuarembó [Department: Uruguay]858019Treinta Y Tres [Department: Uruguay]858097Abroad [Department: Uruguay]858098Unknown [Department: Uruguay]858999NIU (not in universe) [Department: Uruguay]862001Federal District, Vargas [State: Venezuela]862002Amazonas Federal Territory [State: Venezuela]862003Anzoátegui [State: Venezuela]862004Apure [State: Venezuela]862005Aragua [State: Venezuela]862007Bolívar [State: Venezuela]862008Carabobo [State: Venezuela]862009Cojedes [State: Venezuela]862010Amacuros Delta Federal Territory [State: Venezuela]862011Falcón [State: Venezuela]862012Guárico [State: Venezuela]862013Lara [State: Venezuela]862014Barinas, Mérida [State: Venezuela]862015Miranda [State: Venezuela]862016Monagas [State: Venezuela]862017Nueva Esparta, Federal Dependencies [State: Venezuela]862018Portuguesa [State: Venezuela]862019Sucre [State: Venezuela]862020Táchira [State: Venezuela]862021Trujillo [State: Venezuela]862022Yaracuy [State: Venezuela]862023Zulia [State: Venezuela]862097Foreign country [State: Venezuela]862098Unknown [State: Venezuela]862099NIU (not in universe) [State: Venezuela]Migration: Global Variables -- PERSONReason for migrationMIGCAUSE indicates the reason why the person moved from their previous place of residence.00NIU (not in universe)10Work11Seeking work12Job relocation13Job assignment14Opportunity15Proximity to work16Job loss19Other work20Family move21Follow household head22Follow spouse23Follow relative24Marriage of a family member25Divorce or separation of a family member26Healthcare or age of a family member27Death or birth of a family member29Other family30Education31Studies32End of education33Proximity to education34Other education40Marriage, divorce, widowhood41Marriage or union42Divorce or widowhood50Insecurity, disaster, or violence51War, conflict52Violence or insecurity53Domestic violence54Social or political problems, including security55Natural disaster56Refugee, reason not specified57Asylum seeker, reason not specified59Other insecurity, disaster, or violence60Personal61Age related reasons62Quality of life63Become independent69Other personal70Other reason71Health72Repatriation73Retirement74House or flat acquisition75Housing problems76Visiting77Ordination78Military or institutional housing79Other reason, not elsewhere classified99UnknownMigration: Global Variables -- PERSONProvince of residence 5 years ago, China; consistent boundaries, GISMIG1_5_CN indicates the person's province of residence five years ago in China.
Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.156011Beijing156012Tianjin156013Hebei156014Shanxi156015Inner Mongolia156021Liaoning156022Jilin156023Heilongjiang156031Shanghai156032Jiangsu156033Zhejiang156034Anhui156035Fujian156036Jiangxi156037Shandong156041Henan156042Hubei156043Hunan156044Guangdong, Hainan156045Guangxi156051Sichuan, Chongqing156052Guizhou156053Yunnan156054Tibet156061Shaanxi156062Gansu156063Qinghai156064Ningxia156065Xinjiang156097Abroad156099NIU (not in universe)Migration: A-E Variables -- PERSONPrefecture of previous residence, China; consistent boundaries, GISMIG2_P_CN indicates the person's prefecture of previous residence within China. Migration prefecture codes from MIG2_P_CN are compatible with codes from GEO2_CN.
Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison.156011001Beijing municipality156012001Tianjin municipality156013001Shijiazhuang city156013002Tangshan city, Qinhuangdao city, Chengde city156013003Handan city156013004Xingtai city156013005Baoding city156013006Zhangjiakou city156013007Cangzhou city156013008Langfang city156013009Hengshui city156013099Hebei province, unknown prefecture156014001Taiyuan city156014002Datong city, Shuozhou city156014003Yangquan city, Jinzhong city156014004Changzhi city, Jincheng city156014005Yuncheng city156014006Xinzhou city156014007Linfen city156014008Luliang prefecture156014099Shanxi province, unknown prefecture156015001Hohhot city, Baotou city, Ulaan Chab league156015002Wuhai city156015003Chifeng city156015004Tongliao city156015005Hulunbuir league156015006Xing'an league156015007Xilin Gol league156015008Yikezhao league156015009Bayannur league156015010Alxa prefecture156015099Inner Mongolia province, unknown prefecture156021001Shenyang city, Tieling city156021002Dalian city156021003Anshan city, Dandong city156021004Fushun city156021005Benxi city156021006Jinzhou city, Chaoyang city, Huludao city156021007Yingkou city, Panjin city156021008Fuxin city156021009Liaoyang city156021099Liaoning province, unknown prefecture156022001Changchun city156022002Jilin city156022003Siping city, Liaoyuan city156022004Tonghua city, Baishan city156022005Baicheng city, Songyuan city156022006Yanbian Korean autonomous prefecture156022099Jilin province, unknown prefecture156023001Hegang city, Jiamusi city, Qitaihe city, Shuangyashan city, Harbin city156023002Qiqihar city, Suihua city, Daqing city156023003Jixi city, Mudanjiang city156023004Yichun city156023005Heihe city156023006Daxing'anling prefecture156023099Heilongjiang province, unknown prefecture156031001Shanghai municipality156032001Nanjing city, Wuxi city, Changzhou city, Suzhou city, Zhenjiang city156032002Xuzhou city, Lianyungang city, Huaiyin city, Suqian city156032003Nantong city156032004Yancheng city156032005Yangzhou city, Taizhou city156032099Jiangsu province, unknown prefecture156033001Hangzhou city156033002Ningbo city156033003Wenzhou city156033004Jiaxing city, Huzhou city156033005Shaoxing city156033006Jinhua city, Quzhou city156033007Zhoushan city156033008Taizhou city156033009Lishui city156033099Zhejiang province, unknown prefecture156034001Hefei 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 city156034099Anhui province, unknown prefecture156035001Fuzhou city, Putian city, Ningde city156035002Xiamen city156035003Sanming city156035004Quanzhou city156035005Zhangzhou city156035006Nanping city156035007Longyan city156035099Fujian province, unknown prefecture156036001Nanchang city, Xinyu city, Ganzhou city, Yichun city, Fuzhou city156036002Jingdezhen city, Yingtan city, Shangrao city156036003Pingxiang city, Ji'an city156036004Jiujiang city156036099Jiangxi province, unknown prefecture156037001Jinan 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 city156037099Shandong province, unknown prefecture156041001Zhengzhou 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 city156041099Henan province, unknown prefecture156042001Wuhan 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 prefecture156042099Hubei prevoince, unknown 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 city156043099Hunan province, unknown prefecture156044001Guangzhou 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 area156044099Guangdong and Hainan provinces, unknown prefecture156045001Nanning prefecture, Nanning city156045002Liuzhou city, Liuzhou prefecture156045003Guilin city156045004Wuzhou city, Hezhou prefecture156045005Beihai city, Qinzhou city, Fangchenggang city156045006Yulin city, Guigang city156045007Baise prefecture156045008Hechi prefecture156045099Guangxi province, unknown 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 prefecture156051099Sichuan and Chongqing provinces, unknown prefecture156052001Guiyang city, Anshun city156052002Liupanshui city156052003Zunyi city156052004Tongren prefecture156052005Qianxinan Buyei-Miao autonomous prefecture156052006Bijie prefecture156052007Qiandongnan Miao-Dong autonomous prefecture156052008Qiannan Buyei-Miao autonomous prefecture156052099Guizhou province, unknown 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 prefecture156053099Yunnan province, unknown 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 prefecture156061099Shaanxi province, unknown prefecture156062001Lanzhou city156062002Jiayuguan city156062003Jinchang city156062004Baiyin city, Tianshui city, Wuwei prefecture, Dingxi prefecture, Wudu prefecture156062005Jiuquan prefecture156062006Zhangye prefecture156062007Pingliang prefecture156062008Qingyang prefecture156062009Linxia Hui prefecture156062010Gannan Tibetan autonomous prefecture156062099Gansu province, unknown prefecture156063001Haidong prefecture, Xining city156063002Haibei Tibetan autonomous prefecture156063003Huangnan Tibetan autonomous prefecture156063004Hainan Tibetan autonomous prefecture156063005Golog Tibetan autonomous prefecture156063006Yushu Tibetan autonomous prefecture, Haixi Mongol-Tibetan autonomous prefecture156063099Qinghai province, unknown 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 city156065099Xinjiang province, unknown prefecture156097097Abroad156098098Unknown156099099NIU (not in universe)Migration: A-E Variables -- PERSONPerson number (within household)China 2000: All recordsThis variable indicates the person number (within household).00Household record01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262Technical Person Variables -- PERSONPerson numberChina 2000: All personsThis variable indicates the person number.011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545Technical Person Variables -- PERSONRelationship to household head2. Relationship to the head of the household</p>
<div class="i1">[] 0 Self<br />[] 1 Spouse<br />[] 2 Children<br />[] 3 Parents<br />[] 4 Parents-in-law<br />[] 5 Grandparents<br />[] 6 Daughter (son)-in-law<br />[] 7 Grandchildren<br />[] 8 Brothers/sisters<br />[] 9 Other</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R2. Relation to the head of household</span>
<br />There are ten standard answers to this question. </p>
<div class="i1">1. Head of household - head according to family daily customs. During the census, determining the head of household is mainly for statistical purposes. Therefore, enumerator should avoid listing kids as head of households. In cases that one household has three generations or more, list someone from the middle generation as the head. Enumerator should ask for consent from the person to be listed as head.<br />2. Spouse of the head - wife or husband<br />3. Children of the head<br />4. Parents of the head - also include step parents or adaptive parents<br />5. Parents-in-law of the head - spouse's parents, step parents, or adaptive parents<br />6. Grandparents - grandparents of the head or his/her spouse<br />7. Son-in-law or daughter-in-law<br />8. Grandchildren or grandchildren-in-law<br />9. Siblings - sisters or brothers of the head or his/her spouse<br />10. Others</div>China 2000: All personsThis variable indicates the person's relationship to the household head.00Household head01Spouse02Child03Parent04Parent-in-law05Grandparent06Child-in-law07Grandchild08Sibling09Other99UnknownDemographic Variables -- PERSONSex3. Sex ____<span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R3. Gender</span>
<br />Mark 1 for male; 2 for femaleChina 2000: All personsThis variable indicates the person's sex.1Male2FemaleDemographic Variables -- PERSONYear of birth4. Please provide the age and the month and year of birth </p>
<div class="i1">____ Age<br />____ Month of birth<br />____ Year of birth</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R4. Age</span>
<br />Age should be based on Gregorian calendar instead of lunar calendar.
<br />For babies, if younger than ten months (including ten months), age = 2000 - birth year;
<br />If older than ten months (eleven or twelve), age = 2000 - birth year - 1.
<br />[omitted the details of age conversion between lunar and Gregorian calendar.]China 2000: All personsThis variable indicates the person's year of birth.18991899 or before1900190019011901190219021903190319041904190519051906190619071907190819081909190919101910191119111912191219131913191419141915191519161916191719171918191819191919192019201921192119221922192319231924192419251925192619261927192719281928192919291930193019311931193219321933193319341934193519351936193619371937193819381939193919401940194119411942194219431943194419441945194519461946194719471948194819491949195019501951195119521952195319531954195419551955195619561957195719581958195919591960196019611961196219621963196319641964196519651966196619671967196819681969196919701970197119711972197219731973197419741975197519761976197719771978197819791979198019801981198119821982198319831984198419851985198619861987198719881988198919891990199019911991199219921993199319941994199519951996199619971997199819981999199920002000Demographic Variables -- PERSONMonth of birth4. Please provide the age and the month and year of birth </p>
<div class="i1">____ Age<br />____ Month of birth<br />____ Year of birth</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R4. Age</span>
<br />Age should be based on Gregorian calendar instead of lunar calendar.
<br />For babies, if younger than ten months (including ten months), age = 2000 - birth year;
<br />If older than ten months (eleven or twelve), age = 2000 - birth year - 1.
<br />[omitted the details of age conversion between lunar and Gregorian calendar.]China 2000: All personsThis variable indicates the person's month of birth.01January02February03March04April05May06June07July08August09September10October11November12December99UnknownDemographic Variables -- PERSONEthnicity5. Please provide the name of the ethnic group ____<span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R5. Ethnicity</span>
<br />Do not use acronyms for ethnicity. Put down official names.
<br />[omitted details of writing convention of ethnic names]China 2000: All personsThis variable indicates the person's ethnicity.01Han02Mongolian03Hui04Tibetan05Uygur06Miao07Yi08Zhuang09Bouyei10Korean11Man12Dong13Yao14Bai15Tujia16Hani17Kazak18Dai19Li20Lisu21Va22She23Gaoshan24Lahu25Shui26Dongxiang27Naxi28Jingpo29Kirgiz30Tu31Daur32Mulam33Qiang34Blang35Salar36Maonan37Gelo38Xibe39Achang40Primi41Tajik42Nu43Uzbek44Russian45Ewenki46Deang47Baoan48Yugur49Jing50Tatar51Derung52Oroqen53Hezhen54Monba56Jino97Other unidentified ethnicity99UnknownEthnicity and Language Variables -- PERSONStatus of residential registration6. Status of residential registration</p>
<div class="i1">[] 1 Live in the current town/township/neighborhood, residential registration in also in the current town/township/neighborhood<br />[] 2 Live in the current town/township/neighborhood for at least more than 6 months, residential registration is outside of the current town/township/neighborhood<br />[] 3 Live in the current town/township/neighborhood for less than 6 months, residential registration is outside of the current town/township/neighborhood, in addition, has left the registered town/township/neighborhood for more than 6 months<br />[] 4 Live in the current town/township/neighborhood, the town/township/neighborhood is undetermined<br />[] 5 Originally lived in the current town/township/neighborhood, either studies or works abroad currently, no residential registration temporarily<br /><br />If either 2 or 3 were chosen, provide the area with residential registration:</div><div class="i2">[] 1 Current country (city), other township<br />[] 2 Current country (city), other town<br />[] 3 Current country (city), other neighborhood<br />[] 4 Current district, other township<br />[] 5 Current district, other town<br />[] 6 Current district, other neighborhood<br />[] 7 Current province, other country (city) or district<br />[] 8 Other province</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R6. Household Registration Status </span>
<br />This question includes two parts.</p>
<p>The first part is the household registration status. It includes five standard answers.</p>
<div class="i1">1. Reside in current village/town/neighborhood and household registration also located at the same place. <br />This applies to anyone as long as his/her household registration is from the current census location. Please note the following special cases:</div><div class="i2">Circle this answer if a person moved to current census location for six months or less, and has not obtained household registration here. <br />Do not circle this answer if a person moved out from the current census location for six months or less, despite the fact that he/she still had household registration here. <br />If a person's current residence location is different from his/her household registered location, circle this answer as long as the person is currently residing at the current census location.</div><div class="i1">2. Reside in current village/town/neighborhood for more than six months, yet household registration locates elsewhere. <br />3. Reside in current village/town/neighborhood for six months or less, yet away from household registered place for more than six months. <br />4. Reside in current village/town/neighborhood for more than six months, but unsure of household registration location. <br />5. Used to reside in current village/town/neighborhood, but no longer has local household registration due to working or studying abroad.</div>China 2000: All personsThis variable indicates the person's status of residential registration.1Live in current residential area; registered in same area2Live in current residential area more than 6 months; registered elsewhere3Live in current residential area less than 6 months; registered elsewhere, out of registration area more than 6 months4Live in current residential area; registration area undetermined5Originally lived in current residential area, studies or works abroad; temporarily without residential registrationOther Person Variables -- PERSONPlace of registration6. Status of residential registration</p>
<div class="i1">[] 1 Live in the current town/township/neighborhood, residential registration in also in the current town/township/neighborhood<br />[] 2 Live in the current town/township/neighborhood for at least more than 6 months, residential registration is outside of the current town/township/neighborhood<br />[] 3 Live in the current town/township/neighborhood for less than 6 months, residential registration is outside of the current town/township/neighborhood, in addition, has left the registered town/township/neighborhood for more than 6 months<br />[] 4 Live in the current town/township/neighborhood, the town/township/neighborhood is undetermined<br />[] 5 Originally lived in the current town/township/neighborhood, either studies or works abroad currently, no residential registration temporarily<br /><br />If either 2 or 3 were chosen, provide the area with residential registration:</div><div class="i2">[] 1 Current country (city), other township<br />[] 2 Current country (city), other town<br />[] 3 Current country (city), other neighborhood<br />[] 4 Current district, other township<br />[] 5 Current district, other town<br />[] 6 Current district, other neighborhood<br />[] 7 Current province, other country (city) or district<br />[] 8 Other province</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R6. Household Registration Status </span>
<br />This question includes two parts.</p>
<p>The second part is the household registered location.
<br />People who choose 2 or 3 in the first part will need to answer this question. There are eight standard answers.</p>
<div class="i1">1. Household registration is at a different village, but the same county, county-level city, or county-administered districts. <br />2. Household registration is at a different town but the same county, county-level city, or county-administered districts. <br />3. Household registration is at a different neighborhood but the same county, county-level city, or county-administered districts. <br />4. Household registration is at a different village but the same city district. <br />5. Household registration is at a different town but the same city district.<br />6. Household registration is at a different neighborhood but the same city district.<br />7. Household registration is at a different county (city) or city district but the same province. <br />8. Household registration is at a different province.</div>China 2000: Persons living in current residential area but registered elsewhere [discrepancies: none]This variable indicates the person's place of residential registration.1Current county (city), other township2Current county (city), other town3Current county (city), other neighborhood4Current district, other township5Current district, other town6Current district, other neighborhood7Current province, other country (city) or district8Other province9NIU (not in universe)Migration: Global Variables -- PERSONProvince of registration6. Status of residential registration</p>
<div class="i1">[] 1 Live in the current town/township/neighborhood, residential registration in also in the current town/township/neighborhood<br />[] 2 Live in the current town/township/neighborhood for at least more than 6 months, residential registration is outside of the current town/township/neighborhood<br />[] 3 Live in the current town/township/neighborhood for less than 6 months, residential registration is outside of the current town/township/neighborhood, in addition, has left the registered town/township/neighborhood for more than 6 months<br />[] 4 Live in the current town/township/neighborhood, the town/township/neighborhood is undetermined<br />[] 5 Originally lived in the current town/township/neighborhood, either studies or works abroad currently, no residential registration temporarily<br /><br />If either 2 or 3 were chosen, provide the area with residential registration:</div><div class="i2">[] 1 Current country (city), other township<br />[] 2 Current country (city), other town<br />[] 3 Current country (city), other neighborhood<br />[] 4 Current district, other township<br />[] 5 Current district, other town<br />[] 6 Current district, other neighborhood<br />[] 7 Current province, other country (city) or district<br />[] 8 Other province</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R6. Household Registration Status </span>
<br />This question includes two parts.</p>
<p>The second part is the household registered location.
<br />People who choose 2 or 3 in the first part will need to answer this question. There are eight standard answers.</p>
<div class="i1">1. Household registration is at a different village, but the same county, county-level city, or county-administered districts. <br />2. Household registration is at a different town but the same county, county-level city, or county-administered districts. <br />3. Household registration is at a different neighborhood but the same county, county-level city, or county-administered districts. <br />4. Household registration is at a different village but the same city district. <br />5. Household registration is at a different town but the same city district.<br />6. Household registration is at a different neighborhood but the same city district.<br />7. Household registration is at a different county (city) or city district but the same province. <br />8. Household registration is at a different province.</div>China 2000: Persons living in current residential area but registered elsewhere [discrepancies: type I none; type II 8.0%]This variable indicates the person's province of residential registration.11Beijing12Tianjin13Hebei14Shanxi15Inner Mongolia21Liaoning22Jilin23Heilongjiang31Shanghai32Jiangsu33Zhejiang34Anhui35Fujian36Jiangxi37Shandong41Henan42Hubei43Hunan44Guangdong45Guangxi46Hainan50Chongqing51Sichuan52Guizhou53Yunnan54Tibet61Shaanxi62Gansu63Qinghai64Ningxia65Xinjiang99NIU (not in universe)Migration: Global Variables -- PERSONRegistration type7. Type of registration</p>
<div class="i1">[] 1 Agriculture<br />[] 2 Non-agriculture</div><span class="h1">Part One. Personal records</span></p>
<p>All persons should respond to R1 through R7.</p>
<p><span class="em">R7. Type of registration</span>
<br />Person does not need to fill in this part if he or she chose 4 or 5 of the first part of R6.
<br />Farmers, who have moved to cities and obtained township household registration, will choose 2 (i.e. non-rural) in this question.China 2000: Persons with residential registration [discrepancies: none]This variable indicates the person's residential registration type.1Agriculture2Non-agriculture9NIU (not in universe)Other Person Variables -- PERSONBirthplace8. Place of birth</p>
<div class="i1">[] 1 Current country/city/district<br />[] 2 Current province, but other country/city/district<br />[] 3 Other province, please provide the name of the province ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R8. Birthplace</span>
<br />This should be the same as the permanent living place of a person's mother.
<br />There are three standard answers for this question.</p>
<div class="i1">1. The same county/city/district<br />2. A different county/city/district in the same province<br />3. A different province</div><p>A person's birthplace is usually the same as their mother's permanent living place. In cases that a person's birthplace is a hospital, put their mother's permanent living place.China 2000: All personsThis variable indicates the person's birthplace.1Current county, city, or district2Current province, other county, city, or district3Other provinceNativity and Birthplace Variables -- PERSONProvince of birth8. Place of birth</p>
<div class="i1">[] 1 Current country/city/district<br />[] 2 Current province, but other country/city/district<br />[] 3 Other province, please provide the name of the province ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R8. Birthplace</span>
<br />This should be the same as the permanent living place of a person's mother.
<br />There are three standard answers for this question.</p>
<div class="i1">1. The same county/city/district<br />2. A different county/city/district in the same province<br />3. A different province</div><p>A person's birthplace is usually the same as their mother's permanent living place. In cases that a person's birthplace is a hospital, put their mother's permanent living place.China 2000: All personsThis variable indicates the person's province of birth.11Beijing12Tianjin13Hebei14Shanxi15Inner Mongolia21Liaoning22Jilin23Heilongjiang31Shanghai32Jiangsu33Zhejiang34Anhui35Fujian36Jiangxi37Shandong41Henan42Hubei43Hunan44Guangdong45Guangxi46Hainan50Chongqing51Sichuan52Guizhou53Yunnan54Tibet61Shaanxi62Gansu63Qinghai64Ningxia65Xinjiang98Hong Kong, Macau, Taiwan, or abroadNativity and Birthplace Variables -- PERSONYear of migration to current residence9. When did you move to the current town/township/neighborhood?</p>
<div class="i1">[] 1 From the date born (Jump to 14)<br />[] 2 Before October 31st, 1995 (Jump to 14)<br />[] 3 Between November 1st, 1995 and December 31st, 1995<br />[] 4 In 1996<br />[] 5 In 1997<br />[] 6 In 1998<br />[] 7 In 1999<br />[] 8 In 2000</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R9. Date that moved in to the current village/town/neighborhood</span>
<br />This question asks the most recent date that a person moved to the current census location. There are eight standard answers to this question. </p>
<div class="i1">Since birth. This also includes people who have been away for less than six months consecutively. <br />Before Oct 31st 1995. This also includes people who have been away for less than six months consecutively since moving in.<br />Between Nov 1st 1995 and Dec 31st 1995. This also includes people who have been away for less than six months consecutively since moving in.<br />In 1996. This also includes people who have been away for less than six months consecutively since moving in.<br />In 1997. This also includes people who have been away for less than six months consecutively since moving in.<br />In 1998. This also includes people who have been away for less than six months consecutively since moving in.<br />In 1999. This also includes people who have been away for less than six months consecutively since moving in.<br />In 2000. This also includes people who have been away for less than six months consecutively since moving in.</div>China 2000: All personsThis variable indicates the year when the person migrated to the current residence.1Since birth2Before October 31st, 1995 3Between November 1st, 1995 and December 31st, 19954In 19965In 19976In 19987In 19998In 2000Migration: Global Variables -- PERSONPlace of last residence10. Where did you move from to the current town/township/neighborhood?</p>
<div class="i1">[] 1 Within current country/city/district<br />[] 2 Outside current country/city/district, please provide</div><div class="i2">[] Province: ____<br />[] Autonomous prefecture/city: ____<br />[] Country (city, district): ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R10. Previous residence</span>
<br />This question will only be filled in by persons who moved in to current census location during and after Nov 1995 (that is, persons who circled 3-8 in R9)China 2000: Persons who moved to current residence after November 1st, 1995 [discrepancies: none]This variable indicates the place of the person's last residence.1Within current country, city, or district2Outside current country, city, or district9NIU (not in universe)Migration: Global Variables -- PERSONProvince of last residence10. Where did you move from to the current town/township/neighborhood?</p>
<div class="i1">[] 1 Within current country/city/district<br />[] 2 Outside current country/city/district, please provide</div><div class="i2">[] Province: ____<br />[] Autonomous prefecture/city: ____<br />[] Country (city, district): ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R10. Previous residence</span>
<br />This question will only be filled in by persons who moved in to current census location during and after Nov 1995 (that is, persons who circled 3-8 in R9)China 2000: Persons who moved to current residence after November 1st, 1995 [discrepancies: type I none; type II 4.6%]This variable indicates the province where the person's last residence was located.11Beijing12Tianjin13Hebei14Shanxi15Inner Mongolia21Liaoning22Jilin23Heilongjiang31Shanghai32Jiangsu33Zhejiang34Anhui35Fujian36Jiangxi37Shandong41Henan42Hubei43Hunan44Guangdong45Guangxi46Hainan50Chongqing51Sichuan52Guizhou53Yunnan54Tibet61Shaanxi62Gansu63Qinghai64Ningxia65Xinjiang98Hong Kong, Macau, Taiwan, or abroad99NIU (not in universe)Migration: Global Variables -- PERSONPrefecture of last residence10. Where did you move from to the current town/township/neighborhood?</p>
<div class="i1">[] 1 Within current country/city/district<br />[] 2 Outside current country/city/district, please provide</div><div class="i2">[] Province: ____<br />[] Autonomous prefecture/city: ____<br />[] Country (city, district): ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R10. Previous residence</span>
<br />This question will only be filled in by persons who moved in to current census location during and after Nov 1995 (that is, persons who circled 3-8 in R9)China 2000: Persons who moved to current residence after November 1st, 1995 [discrepancies: type I none; type II 4.6%]This variable indicates the prefecture where the person's last residence was located.1101Beijing municipality (districts)1102Beijing municipality (counties)1199Beijing province, prefecture unknown1201Tianjin municipality (districts)1202Tianjin municipality (counties)1299Tianjin province, prefecture unknown1301Shijiazhuang city1302Tangshan city1303Qinhuangdao city1304Handan city1305Xingtai city1306Baoding city1307Zhangjiakou city1308Chengde city1309Cangzhou city1310Langfang city1311Hengshui city1399Hebei province, prefecture unknown1401Taiyuan city1402Datong city1403Yangquan city1404Changzhi city1405Jincheng city1406Shuozhou city1407Jinzhong city1408Yuncheng city1409Xinzhou city1410Linfen city1423Luliang prefecture1499Shanxi province, prefecture unknown1501Hohhot city1502Baotou city1503Wuhai city1504Chifeng city1505Tongliao city1521Hulunbuir league1522Xing'an league1525Xilin Gol league1526Ulaan Chab league1527Yikezhao league1528Bayannur league1529Alxa prefecture1599Inner Mongolia province, prefecture unknown2101Shenyang city2102Dalian city2103Anshan city2104Fushun city2105Benxi city2106Dandong city2107Jinzhou city2108Yingkou city2109Fuxin city2110Liaoyang city2111Panjin city2112Tieling city2113Chaoyang city2114Huludao city2199Liaoning province, prefecture unknown2201Changchun city2202Jilin city2203Siping city2204Liaoyuan city2205Tonghua city2206Baishan city2207Songyuan city2208Baicheng city2224Yanbian Korean autonomous prefecture2299Jilin province, prefecture unknown2301Harbin city2302Qiqihar city2303Jixi city2304Hegang city2305Shuangyashan city2306Daqing city2307Yichun city2308Jiamusi city2309Qitaihe city2310Mudanjiang city2311Heihe city2312Suihua city2327Daxing'anling prefecture2399Heilongjiang province, prefecture unknown3101Shanghai municipality (districts)3102Shanghai municipality (counties)3199Shanghai province, prefecture unknown3201Nanjing city3202Wuxi city3203Xuzhou city3204Changzhou city3205Suzhou city3206Nantong city3207Lianyungang city3208Huaiyin city3209Yancheng city3210Yangzhou city3211Zhenjiang city3212Taizhou city3213Suqian city3299Jiangsu province, prefecture unknown3301Hangzhou city3302Ningbo city3303Wenzhou city3304Jiaxing city3305Huzhou city3306Shaoxing city3307Jinhua city3308Quzhou city3309Zhoushan city3310Taizhou city3311Lishui city3399Zhejiang province, prefecture unknown3401Hefei city3402Wuhu city3403Bengbu city3404Huainan city3405Ma'anshan city3406Huaibei city3407Tongling city3408Anqing city3410Huangshan city3411Chuzhou city3412Fuyang city3413Suzhou city3414Chaohu city3415Liu'an city3416Bozhou city3417Guichi city3418Xuancheng city3499Anhui province, prefecture unknown3501Fuzhou city3502Xiamen city3503Putian city3504Sanming city3505Quanzhou city3506Zhangzhou city3507Nanping city3508Longyan city3509Ningde city3599Fujian province, prefecture unknown3601Nanchang city3602Jingdezhen city3603Pingxiang city3604Jiujiang city3605Xinyu city3606Yingtan city3607Ganzhou city3608Ji'an city3609Yichun city3610Fuzhou city3611Shangrao city3699Jiangxi province, prefecture unknown3701Jinan city3702Qingdao city3703Zibo city3704Zaozhuang city3705Dongying city3706Yantai city3707Weifang city3708Jining city3709Tai'an prefecture3710Weihai city3711Rizhao city3712Laiwu city3713Linyi city3714Dezhou city3715Liaocheng city3716Binzhou city3717Heze city3799Shandong province, prefecture unknown4101Zhengzhou city4102Kaifeng city4103Luoyang city4104Pingdingshan city4105Anyang city4106Hebi city4107Xinxiang city4108Jiaozuo city4109Puyang city4110Xuchang city4111Luohe city4112Sanmenxia city4113Nanyang city4114Shangqiu city4115Xinyang city4116Zhoukou city4117Zhumadian city4199Henan province, prefecture unknown4201Wuhan city4202Huangshi city4203Shiyan city4205Yichang city4206Xiangfan city4207Ezhou city4208Jingmen city4209Xiaogan city4210Jingzhou city4211Huanggang city4212Xianning city4213Suizhou city4228Exi Tujia-Miao autonomous prefecture4290Hubei Province direct administrative area4299Hubei province, prefecture unknown4301Changsha city4302Zhuzhou city4303Xiangtan city4304Hengyang city4305Shaoyang city4306Yueyang city4307Changde city4308Zhangjiajie city4309Yiyang city4310Chenzhou city4311Yongzhou city4312Huaihua city4313Loudi city4331Xiangxi Tujia-Miao autonomous prefecture4399Hunan province, prefecture unknown4401Guangzhou city4402Shaoguan city4403Shenzhen city4404Zhuhai city4405Shantou city4406Foshan city4407Jiangmen city4408Zhanjiang city4409Maoming city4412Zhaoqing city4413Huizhou city4414Meizhou city4415Shanwei city4416Heyuan city4417Yangjiang city4418Qingyuan city4419Dongguan city4420Zhongshan city4451Chaozhou city4452Jieyang city4453Yunfu city4499Guangdong province, prefecture unknown4501Nanning city4502Liuzhou city4503Guilin city4504Wuzhou city4505Beihai city4506Fangchenggang city4507Qinzhou city4508Guigang city4509Yulin city4521Nanning prefecture4522Liuzhou prefecture4524Hezhou prefecture4526Baise prefecture4527Hechi prefecture4599Guangxi province, prefecture unknown4600Hainan Province direct administrative area4601Haikou city4602Sanya city5001Chongqing municipality (districts)5002Chongqing municipality (counties)5003Chongqing administered cities5099Chongqing province, prefecture unknown5101Chengdu city5103Zigong city5104Panzhihua city5105Luzhou city5106Deyang city5107Mianyang city5108Guangyuan city5109Suining city5110Neijiang city5111Leshan city5113Nanchong city5114Meishan city5115Yibin city5116Guang'an city5117Dazhou city5118Ya'an city5119Bazhong city5120Ziyang city5132Ngawa Tibetan-Qiang autonomous prefecture5133Garze Tibetan autonomous prefecture5134Liangshan Yi prefecture5199Sichuan province, prefecture unknown5201Guiyang city5202Liupanshui city5203Zunyi city5204Anshun city5222Tongren prefecture5223Qianxinan Buyei-Miao autonomous prefecture5224Bijie prefecture5226Qiandongnan Miao-Dong autonomous prefecture5227Qiannan Buyei-Miao autonomous prefecture5299Guizhou province, prefecture unknown5301Kunming city5303Qujing city5304Yuxi city5321Zhaotong prefecture5323Chuxiong Yi autonomous autonomous prefecture5325Honghe Hani-Yi autonomous prefecture5326Wenshan Zhuang-Miao autonomous prefecture5327Simao prefecture5328Xishuangpanna Dai autonomous prefecture5329Dali Bai autonomous prefecture5330Baoshan prefecture5331Dehong Dai-Jingpo autonomous prefecture5332Lijiang prefecture5333Nujiang Lisu autonomous prefecture5334Diqing Tibetan autonomous prefecture5335Lincang prefecture5399Yunnan province, prefecture unknown5401Lhasa city5421Chamdo prefecture5422Shannan prefecture5423Shigatse prefecture5424Nagchu prefecture5426Nyingchi prefecture6101Xi'an city6102Tongchuan city6103Baoji city6104Xianyang city6105Weinan city6106Yan'an city6107Hanzhong city6108Yulin city6109Ankang city6125Shangluo prefecture6199Shaanxi province, prefecture unknown6201Lanzhou city6202Jiayuguan city6203Jinchang city6204Baiyin city6205Tianshui city6221Jiuquan prefecture6222Zhangye prefecture6223Wuwei prefecture6224Dingxi prefecture6226Wudu prefecture6227Pingliang prefecture6228Qingyang prefecture6229Linxia Hui prefecture6230Gannan Tibetan autonomous prefecture6299Gansu province, prefecture unknown6301Xining city6321Haidong prefecture6322Haibei Tibetan autonomous prefecture6323Huangnan Tibetan autonomous prefecture6325Hainan Tibetan autonomous prefecture6326Golog Tibetan autonomous prefecture6327Yushu Tibetan autonomous prefecture6328Haixi Mongol-Tibetan autonomous prefecture6399Qinghai province, prefecture unknown6401Yinchuan city6402Shizuishan city6403Wuzhong city6422Guyuan prefecture6501Urumuqi city6502Karamay city6521Turfan prefecture6522Hami prefecture6523Changji Hui prefecture6527Bortala Mongol autonomous prefecture6528Bayin'gholin Mongol autonomous prefecture6529Aksu prefecture6530Kizilsu Kirghiz autonomous prefecture6531Kashgar prefecture6532Khotan prefecture6540Yili Kazak autonomous prefecture6541Yili prefecture6542Tacheng prefecture6543Altay prefecture6590Shihezi city6599Xinjiang province, prefecture unknown9800Hong Kong, Macau, Taiwan, or abroad9998Unknown9999NIU (not in universe)Migration: Global Variables -- PERSONType of last residence11. Type of area you move from:</p>
<div class="i1">[] 1 Township<br />[] 2 Residents' committee in a town<br />[] 3 Village's committee in a town<br />[] 4 Neighborhood in a city</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R11. Type of previous residence</span>
<br />This question asks the rural/urban status of previous residence. There are four standard answers. </p>
<div class="i1">1. Village or rural-based<br />2. Township-level residential committee<br />3. Township-level village committee<br />4. Neighborhood</div><p>Type of previous residence should reflect rural/urban status at the time of moving. If a place changed type after the person moved, use the old type for this question.
<br />People from Hong Kong, Macau, Taiwan, or other foreign countries do not have to answer this question.China 2000: Persons who moved to current residence after November 1st, 1995 [discrepancies: type I none; type II trace]This variable indicates the type of place of the person's last residence.1Township2Residents' committee in a town3Village's committee in a town4Neighborhood in a city8Unknown9NIU (not in universe)Other Person Variables -- PERSONReason for migration to current residence12. Reasons for moving</p>
<div class="i1">[] 1 Working/business<br />[] 2 Job transfer<br />[] 3 Job arrangement (by school)<br />[] 4 Training, studying<br />[] 5 Due to regional development<br />[] 6 Due to marriage<br />[] 7 Accompanied family members<br />[] 8 Live with relatives/friends</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R12. Reasons for relocation</span>
<br />There are nine standard answers for this question.</p>
<div class="i1">1. Business or work-related - persons who are 15 years or older and relocated due to work reasons<br />2. Job transfer - persons who are 15 years or older and adopt different jobs. Retired military persons should choose this one.<br />3. Job arrangement - persons who are 15 years or older and were arranged to work here by school or recruitment agency.<br />4. Training - persons who are 6 years or older and attend schools or training sessions in current census location.<br />5. Demolition - persons who relocate after the old residence being demolished.<br />6. Marriage - persons who are 15 years or older and relocated after getting married.<br />7. Relocate with family- persons who relocate with family members who came to work in current census location<br />8. Live with relatives/friends<br />9. Others</div><p>If a person has more than one reason to relocate, choose the primary reason.China 2000: Persons who moved to current residence after November 1st, 1995 [discrepancies: none]This variable indicates the person's reason for migrating to the current residence.0NIU (not in universe)1Working or business2Job transfer3Job arrangement (by school)4Training, studying5Due to regional development6Due to marriage7Accompanied family members8Live with relatives or friends9OtherMigration: Global Variables -- PERSONPlace of residence 5 years ago13. Place stayed 5 years ago (before November 1st, 1995)</p>
<div class="i1">[] 1 Inside the province<br />[] 2 Outside the province (please provide the name) ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R13. Place of residence five years ago (that is, Nov 1st 1995)</span>
<br />R13 applies to persons who are 5 years or older.China 2000: Persons age 5+ who moved to current residence after November 1st, 1995 [discrepancies: none]This variable indicates the person's place of residence 5 years ago.1Inside the province2Outside the province 9NIU (not in universe)Migration: Global Variables -- PERSONProvince of residence 5 years ago13. Place stayed 5 years ago (before November 1st, 1995)</p>
<div class="i1">[] 1 Inside the province<br />[] 2 Outside the province (please provide the name) ____</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R13. Place of residence five years ago (that is, Nov 1st 1995)</span>
<br />R13 applies to persons who are 5 years or older.China 2000: Persons age 5+ who moved to current residence after November 1st, 1995 [discrepancies: type I none; type II 7.5%]This variable indicates the province where the person's residence 5 years ago was located.11Beijing12Tianjin13Hebei14Shanxi15Inner Mongolia21Liaoning22Jilin23Heilongjiang31Shanghai32Jiangsu33Zhejiang34Anhui35Fujian36Jiangxi37Shandong41Henan42Hubei43Hunan44Guangdong45Guangxi46Hainan50Chongqing51Sichuan52Guizhou53Yunnan54Tibet61Shaanxi62Gansu63Qinghai64Ningxia65Xinjiang98Hong Kong, Macau, Taiwan, or abroad99NIU (not in universe)Migration: Global Variables -- PERSONLiteracy14. Literate</p>
<div class="i1">[] 1 Yes<br />[] 2 No</div><span class="em">R8. Literacy </span>
<br />Literacy standard is set by the State Council, which refers to city residents and employees of village or township enterprises who are capable of reading 2,000 Chinese characters, and rural residents who are capable of reading 1,500 Chinese characters.
<br />All full-time primary school students should automatically be considered as literate.</p>
<p><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R14 through R16 apply to persons who are 6 years or older.</span></p>
<p><span class="em">R14. Literacy </span>
<br />Same as R8 of the short formChina 2000: Persons age 6+ [discrepancies: none]This variable indicates whether the person is able to read and write.1Yes2No9NIU (not in universe)Education Variables -- PERSONEducational attainment15. Education</p>
<div class="i1">[] 1 Never been to school<br />[] 2 With some basic training (semi-illiterate)<br />[] 3 Elementary school<br />[] 4 Middle school<br />[] 5 High school<br />[] 6 Special training school<br />[] 7 College (2-3 years) diploma<br />[] 8 College degree<br />[] 9 Graduate school</div><div class="i2">If 6-8, please indicate whether it is from continuing education: ____</div><span class="em">R9. Education level</span>
<br />According to national education system, education level refers to the highest obtained degree of a person. If a person obtained a degree and passed national standard tests by self-learning or adult education, they can also be categorized to corresponding education levels.
<br />The question has nine standard answers. </p>
<div class="i1">1. Never been to school - never received any education from national or other institutions.<br />2. Basic literacy class - has been to anti-illiteracy class or adult literacy class, but received no formal education. <br />3. Primary school - has been to primary school, regardless of completing the study or not <br />4. Junior high school - has been to junior high school or equivalent skills-training school, regardless of completing the study or not<br />5. Senior high school - has been to senior high school or equivalent skills-training school, regardless of completing the study or not<br />6. Secondary training school - has been to secondary training school, regardless of completing the study or not<br />7. College - has been to college, regardless of completing the study or not. People who obtained college degree and passed the national standard test by self-learning also applies to this category. People who obtained college degree by attending nationally recognized broadcast or TV university, employee university, distance-learning organized by universities, or other forms, all apply to this category. <br />8. University degree - has been to universities, regardless of completing the study or not. People who obtained bachelor degree by attending to nationally recognized broadcast or TV university, employee university, distance-learning organized by universities, or other forms, all apply to this answer. <br />9. Graduate degree - has been in school for master or doctoral degrees, regardless of completing the study or not. People who pursued on-job master or doctoral study but fail to obtain degrees do not apply to this category.</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R14 through R16 apply to persons who are 6 years or older.</span></p>
<p><span class="em">R15. Education level </span>
<br />This question has two parts. The first part is the same as R9 of the short form.
<br />The second part - if the person has completed adult education - refers to any education received outside the national standard educational system. This part only applies to persons who answered 5 - 8 in the first part of this question.China 2000: Persons age 6+ [discrepancies: none]This variable indicates the person's level of educational attainment.0NIU (not in universe)1Never been to school2With some basic training (semi-illiterate)3Elementary school4Middle school5High school6Special training school7College (2-3 years) diploma8College degree9Graduate schoolEducation Variables -- PERSONAttended adult school15. Education</p>
<div class="i1">[] 1 Never been to school<br />[] 2 With some basic training (semi-illiterate)<br />[] 3 Elementary school<br />[] 4 Middle school<br />[] 5 High school<br />[] 6 Special training school<br />[] 7 College (2-3 years) diploma<br />[] 8 College degree<br />[] 9 Graduate school</div><div class="i2">If 6-8, please indicate whether it is from continuing education: ____</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R14 through R16 apply to persons who are 6 years or older.</span></p>
<p><span class="em">R15. Education level </span>
<br />This question has two parts. The first part is the same as R9 of the short form.
<br />The second part - if the person has completed adult education - refers to any education received outside the national standard educational system. This part only applies to persons who answered 5 - 8 in the first part of this question.China 2000: Persons age 6+ with an educational attainment level of high school, special training school, a college diploma, or a college degree [discrepancies: none]This variable indicates whether the person has attended adult school.1Yes2No9NIU (not in universe)Education Variables -- PERSONSchool attendance16. Current education status</p>
<div class="i1">[] 1 Attending an educational institute<br />[] 2 Graduated<br />[] 3 Graduated with no diploma<br />[] 4 Terminated education<br />[] 5 Other</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R14 through R16 apply to persons who are 6 years or older.</span></p>
<p><span class="em">R16. School completion </span>
<br />Only persons who received higher than primary school degree will answer this question (that is, those who answered 3-9 in the first part of R15).
<br />There are five standard answers.</p>
<div class="i1">1. In school - currently attending schools and are full time students<br />2. Graduated - have completed all the school curricula and passed the graduation exam.<br />3. Incomplete - have completed all the school curricula but failed to pass the graduation exam.<br />4. Drop-off - have not completed all the school curricula.<br />5. Others - attend home-based schools, self-learning, or acquire education through other means.</div>China 2000: Persons age 6+ who ever attended school [discrepancies: type I none; type II trace]This variable indicates the person's school attendance.1Attending an educational institute2Graduated from school3Graduated with no diploma4Dropped out from school5Other8Unknown9NIU (not in universe)Education Variables -- PERSONWorked for income last week17. Current employment status. Please indicate whether or not worked for at least 1 hour with pay between October 25th and October 31st, 2000.</p>
<div class="i1">[] 1 Yes<br />[] 2 No, due to training, vacation, or seasonal holidays<br />[] 3 No, other reasons</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R17. If employed or not one week before the census (i.e. Oct 25 - 31, 2000)</span>
<br />Being employed means having conducted more than one hour of paid work.
<br /><span class="pg">[p44]</span>
<br />Paid work includes activities that come with salary, profit, or family-based income, both in monetary and material forms. Payment can be both received or pending (e.g. will actualize by the next pay period).
<br />This question has three standard answers.</p>
<div class="i1">1. Yes. It includes being employed for permanent, temporary, or part-time jobs. <br />2. No, due to training, vacation, or seasonal holidays. It also includes persons who are on sick leave, maternity leave, etc., who leave for full-time study, who cannot work due to weather or mechanical reasons, or who work on seasonal or rotational basis. People who choose this do not have to answer R18.<br />3. Not employed for other reasons. This category also includes those who have certain source of income but are not employed, e.g., those who receive money from investment, renting, patent royalty, or pensions. People who choose this do not have to answer R18 - 20.</div>China 2000: Persons age 15+ [discrepancies: none]This variable indicates whether or not the person worked for at least 1 hour with pay last week, between October 25th and October 31st, 2000.1Yes2No, due to training, vacation, or seasonal holidays3No, for other reasons9NIU (not in universe)Work Variables -- PERSONNumber of days worked last week18. Duration of work </p>
<div class="i1">[This question was asked of persons who worked for at least 1 hour with pay between October 25th and October 31st, 2000, per question 17 (who answered "yes" to question 17).]<br /><br />[] 1 day<br />[] 2 days<br />[] 3 days<br />[] 4 days<br />[] 5 days<br />[] 6 days<br />[] 7 days</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R18. Days of work</span>
<br />If a person worked for less than 24 hours, count it as one day.
<br />Please note:</p>
<div class="i1">If a person has multiple jobs, count the total working days.<br />If a person works in research institutions or other organizations that do not require fixed working hours, report the actual days they worked. <br />Rural persons, who do both household work and agricultural work, report only the days of work that come with payment.</div>China 2000: Persons age 15+ who worked for income last week [discrepancies: none]This variable indicates the number of days the person worked last week.11 day2233445566779NIU (not in universe)Work Variables -- PERSONIndustry (3-digit)19. Area of work, please provide the complete name for the work unit. ____
<br />List the major products/services. ____<span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R19. Industry </span>
<br />It refers to the type of production and business activities or social economic activities that a person engages with. It should be filled in with detailed company name, types of product or business domain. This question should be answered by persons who replied 1 or 2 for R17.
<br />China currently defines 16 industries that include 92 major categories. Each major category has sub-categories.
<br />The 5th Population Census Enumeration uses unit of industrial activity to distinguish different industries. Therefore, each census-registered unit should be a unit of industrial activity. Unit of industrial activity is defined by 1) a geographic location for the purpose of at least one economic activity; 2) independent organization of production, management, and business activities; and 3) independent accounting and evaluation - this is the most important criterion.
<br />If one geographic location has two or more types of economic activity, or the same economic activity happens at various locations, as long as each unit has accounting capacity, they should be considered as separate units of industrial activity.
<br />Closely associated to the unit of industrial activity is the notion of legal unit. A legal unit must demonstrate three characteristics: 1) established legally with a name, an organizational institution, and a geographic location, and capable of independently fulfilling civil responsibility; 2) independently possess and utilize (or being authorized to utilize) assets, capable of assuming outstanding debt and signing contracts; and 3) independent accounting and capable of compiling balance sheet - this is the most important criterion. The unit of industrial activity is interior to the legal unit.
<br />Persons who work for corporate, enterprise, government, social organizations, and their subsidiaries should report the full name of their employer organization or the primary domain of business. Please note:</p>
<div class="i1">Write down the full name of employer organization<br />Specify the domain of business <br />For confidential units, use their publicly-known names<br />For self-employed persons, use the types of business they engaged with<br />For individuals who do not have a fixed, regular job, put down the types of work they have done in the previous week. <br />For rural people, do not just put "agriculture", specify the types of agricultural work.<br />For rural people, as long as he/she has a relatively fixed job in town or village enterprise, put down that job.<br />If persons who work two or more different jobs in the previous work, choose the one with longer working days.<br />For persons who are unsure of their jobs or types of industry, be patient and help them to identify.</div><span class="pg"> [p46]</span>China 2000: Persons age 15+ who worked or had a job last week [discrepancies: none]This variable indicates the industry (3-digit) in which the person worked.000NIU (not in universe)011Crop farming019Other agriculture020Forestry031Livestock raising pasture husbandry032Poultry farming033Hunting039Other animal husbandry041Marine fishery042Freshwater fishery051Agricultural services052Forestry services053Animal husbandry and veterinary services054Fishery services059Other agriculture, forestry, animal husbandry, fishery061Coal mining062Coal washing and dressing071Natural crude oil extraction072Natural gas or shale oil extraction081Iron ore mining and dressing082Other ferrous metal mining and dressing091Heavy non-ferrous metal mining and dressing093Light non-ferrous metal mining and dressing095Precious metal mining and dressing096Rare rare earth metal mining and dressing101Soil and gravel mining102Chemical mining and dressing103Salt mining109Other non-metallic mining and dressing110Other mining and dressing121Wood logging and transportation122Bamboo logging and transportation131Grain and Feed Processing132Vegetable oil processing133Sugar production134Slaughtering and meat and egg processing135Aquatic products processing136Salt processing139Other food processing141Pastry and confectionery manufacturing142Dairy Manufacturing143Canned food manufacturing144Fermented products145Condiment manufacturing149Other food manufacturing151Alcohol and beverage liquor manufacturing152Soft drink manufacturing155Beverage, undocumented category159Other beverage161Tobacco redrying162Cigarette manufacturing169Other tobacco processing171Fiber raw material preliminary processing172Cotton textile174Wool textile176Hemp textile177Silk textile178Knitwear179Other textile181Apparel manufacturing182Hats183Shoes189Other fiber products manufacturing191Tanning192Leather products manufacturing193Fur tanning and products195Feather (down) processing and products199Leather, furs, down and feather products, unknown201Sawn timber and wood chip processing202Wood-based panel manufacturing203Wood products204Bamboo, rattan, palm and grass products209Products of wood, bamboo, cane, palm, straw, etc., unknown211Wooden furniture manufacturing212Bamboo and rattan furniture manufacturing213Metal furniture manufacturing214Plastic furniture manufacturing219Other furniture manufacturing221Paper pulp manufacturing222Paper making223Paper products231Printing232Reproduction of recording media241Stationery manufacturing242Sports supplies manufacturing243Musical instruments and other recreational products manufacturing244Toy manufacturing245Amusement device manufacturing249Cultural, educational and sports supplies manufacturing not included in other categories251Artificial crude oil production252Crude oil processing253Petroleum products257Coking261Basic chemical raw material manufacturing262Chemical fertilizer manufacturing263Chemical pesticide manufacturing265Organic chemical products manufacturing266Synthetic material manufacturing267Specialty chemical products manufacturing268Daily chemical products manufacturing271Chemical technical material manufacturing272Chemical agent manufacturing273Chinese herbal medicine and proprietary Chinese medicine processing274Animal medicine manufacturing275Biological products281Cellulose fiber manufacturing282Synthetic fiber manufacturing285Fishing gear and fishing gear materials manufacturing291Tire manufacturing292Rickshaw tire manufacturing293Rubber sheet, tube and tape manufacturing294Rubber parts295Recycled rubber manufacturing296Rubber boots and footwear manufacturing297Daily rubber products298Rubber products refurbishment299Other rubber products301Plastic film manufacturing302Plastic sheet, tube, bar manufacturing303Plastic wire, rope and braid manufacturing304Foam plastic and artificial leather, synthetic leather manufacturing305Plastic packaging box and container manufacturing306Plastic shoes manufacturing307Daily plastic sundries manufacturing308Plastic parts manufacturing309Other plastic products311Cement manufacturing312Cement products and asbestos cement products313Brick, lime and light building materials manufacturing314Glass and glass manufacturing315Ceramic products316Refractory products317Graphite and carbon products318Mineral fibers and their products319Non-metallic mineral products, not included in other categories or unknown321Ironmaking322Steelmaking324Steel rolling processing326Ferroalloy smelting329Ferrous metal smelting and processing, unknown331Heavy non-ferrous metal smelting332Light non-ferrous metal smelting333Precious metal smelting334Rare rare earth metal smelting336Non-ferrous metal alloy338Non-ferrous metal rolling processing339Non-ferrous metal smelting and processing, unknown341Metal structure manufacturing342Cast iron pipe manufacturing343Tool manufacturing344Containers and metal packaged goods manufacturing345Metal wire ropes and their products346Construction metal products347Metal surface treatment and heat treatment348Daily metal products349Other metal products351Boiler and prime mover manufacturing352Metalworking machinery manufacturing353General equipment manufacturing354Bearings and valves manufacturing356Other general parts manufacturing357Casting and forging manufacturing358General machinery repair359Other general machinery manufacturing361Manufacturing of special equipment for metallurgy, mining and electromechanical industries362Petrochemical and other industrial special equipment manufacturing363Manufacturing of special equipment for light textile364Agriculture, forestry, animal husbandry, fishery, hydraulic machinery manufacturing365Medical device manufacturing367Other special equipment manufacturing368Special machinery and equipment repair371Railway transportation equipment manufacturing372Automotive manufacturing373Motorcycle manufacturing374Bicycle manufacturing375Tram manufacturing376Shipbuilding377Aerospace vehicle manufacturing378Transportation equipment repair379Other transportation equipment manufacturing390Weapons and ammunition manufacturing401Electric motor manufacturing402Power transmission and distribution and control equipment manufacturing404Electrical device manufacturing406Daily electrical appliance manufacturing407Lighting fixtures manufacturing408Electrical machinery repair409Other electrical machinery manufacturing411Communication equipment manufacturing412Radar manufacturing413Radio and television equipment manufacturing414Electronic computer manufacturing415Electronic device manufacturing416Electronic component manufacturing417Daily electronic appliance manufacturing418Electronic device and communication device repair419Other electronic device manufacturing or unknown421General instrumentation manufacturing422Special instrumentation manufacturing423Electronic measuring instrument manufacturing424Metering instrument manufacturing425Culture, office machinery manufacturing426Watch manufacturing428Instrumentation and culture, office machinery repair429Other instrumentation manufacturing or unknown431Arts and crafts manufacturing435Daily sundries manufacturing439Other production and life supplies manufacturing441Electricity production442Electricity supply443Production and supply of steam and hot water451Gas production452Gas supply461Tap water production462Tap water supply471Housing construction472Mine construction473Railways, freeways, tunnels,474Dam, power station, wharf construction479Other civil engineering construction481Line and pipeline installation482Equipment arrangement490Remodeling and decoration501Regional geological exploration502Marine geological exploration503Mineral geological exploration504Engineering geological exploration505Environmental geological exploration506Geophysical and geochemical exploration509Geological engineering technology and other technical services510Hydraulic management520Rail transport531Auto transport539Other road transport or unknown540Pipeline transportation551Ocean transport552Coastal transportation553Inland river, inland lake transportation559Other water transport561Air passenger and cargo transportation562General aviation571Freeway management and maintenance572Port573Water transportation auxiliary574Airport and air transport auxiliary575Loading and unloading579Transportation not included in other categories580Other transportation590Warehousing601Postal service602Telecommunications603Post and telecommunications611Wholesale of food, beverages, tobacco and household goods, undocumented category612Wholesale of food, beverages, tobacco and household goods, undocumented category613Wholesale of food, beverages, tobacco and household goods, undocumented category614Wholesale of food, beverages, tobacco and household goods, undocumented category615Wholesale of food, beverages, tobacco and household goods, undocumented category616Wholesale of food, beverages, tobacco and household goods, undocumented category617Wholesale of food, beverages, tobacco and household goods, undocumented category619Wholesale of food, beverages, tobacco and household goods, undocumented category621Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category622Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category623Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category624Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category625Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category626Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category627Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category628Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category629Wholesale of power resources, materials, and machinery and electronics equipments, undocumented category631Wholesale of other products, undocumented category632Wholesale of other products, undocumented category633Wholesale of other products, undocumented category639Wholesale of other products, undocumented category641Retail trade, undocumented category642Retail trade, undocumented category643Retail trade, undocumented category644Retail trade, undocumented category645Retail trade, undocumented category647Retail trade, undocumented category648Retail trade, undocumented category649Retail trade, undocumented category650Commercial brokerage and agency671Restaurants, undocumented category672Restaurants, undocumented category679Restaurants, undocumented category681Central bank682Finance, undocumented category683Finance, undocumented category684Finance, undocumented category685Finance, undocumented category686Finance, undocumented category687Finance, undocumented category700Insurance720Real estate development and management730Real estate management740Real estate brokerage and agency751Public facilities services, undocumented category752Public facilities services, undocumented category753Public facilities services, undocumented category754Public facilities services, undocumented category755Public facilities services, undocumented category756Public facilities services, undocumented category759Public facilities services, undocumented category761Resident services, undocumented category762Resident services, undocumented category763Resident services, undocumented category764Resident services, undocumented category765Resident services, undocumented category766Resident services, undocumented category767Resident services, undocumented category768Resident services, undocumented category769Resident services, undocumented category780Hotel790Leasing services800Tourism810Entertainment services821Information and consultancy services, undocumented category822Information and consultancy services, undocumented category829Information and consultancy services, undocumented category831Software development consulting832Data processing833Database services834Computer equipment maintenance consulting841Other social services, undocumented category849Other social services, undocumented category851Health services, undocumented category852Health services, undocumented category853Health services, undocumented category854Health services, undocumented category855Health services, undocumented category856Health services, undocumented category859Health services, undocumented category860Sports871Social welfare and social security, undocumented category872Social welfare and social security, undocumented category879Social welfare and social security, undocumented category891Education, undocumented category892Education, undocumented category893Education, undocumented category894Education, undocumented category895Education, undocumented category899Education, undocumented category901Arts902Publication903Cultural relics protection904Library905Archives906Mass culture907News908Culture and art brokerage and agency909Other culture and art911Radio912Film913Television919Radio, television and films, unknown921Natural science research922Social science research923Other scientific research931Meteorological932Earthquake933Mapping934Technical supervision935Marine environment936Environmental protection937Technology promotion and technology exchange services938General technical services, undocumented category939Other general technical services or unknown940State organizations950Political party organizations960Social groups971Neighborhood committee972Village committee991Enterprise management agency999Industries not included in other categoriesWork: Industry Variables -- PERSONIndustry (2-digit)19. Area of work, please provide the complete name for the work unit. ____
<br />List the major products/services. ____<span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R19. Industry </span>
<br />It refers to the type of production and business activities or social economic activities that a person engages with. It should be filled in with detailed company name, types of product or business domain. This question should be answered by persons who replied 1 or 2 for R17.
<br />China currently defines 16 industries that include 92 major categories. Each major category has sub-categories.
<br />The 5th Population Census Enumeration uses unit of industrial activity to distinguish different industries. Therefore, each census-registered unit should be a unit of industrial activity. Unit of industrial activity is defined by 1) a geographic location for the purpose of at least one economic activity; 2) independent organization of production, management, and business activities; and 3) independent accounting and evaluation - this is the most important criterion.
<br />If one geographic location has two or more types of economic activity, or the same economic activity happens at various locations, as long as each unit has accounting capacity, they should be considered as separate units of industrial activity.
<br />Closely associated to the unit of industrial activity is the notion of legal unit. A legal unit must demonstrate three characteristics: 1) established legally with a name, an organizational institution, and a geographic location, and capable of independently fulfilling civil responsibility; 2) independently possess and utilize (or being authorized to utilize) assets, capable of assuming outstanding debt and signing contracts; and 3) independent accounting and capable of compiling balance sheet - this is the most important criterion. The unit of industrial activity is interior to the legal unit.
<br />Persons who work for corporate, enterprise, government, social organizations, and their subsidiaries should report the full name of their employer organization or the primary domain of business. Please note:</p>
<div class="i1">Write down the full name of employer organization<br />Specify the domain of business <br />For confidential units, use their publicly-known names<br />For self-employed persons, use the types of business they engaged with<br />For individuals who do not have a fixed, regular job, put down the types of work they have done in the previous week. <br />For rural people, do not just put "agriculture", specify the types of agricultural work.<br />For rural people, as long as he/she has a relatively fixed job in town or village enterprise, put down that job.<br />If persons who work two or more different jobs in the previous work, choose the one with longer working days.<br />For persons who are unsure of their jobs or types of industry, be patient and help them to identify.</div><span class="pg"> [p46]</span>China 2000: Persons age 15+ who worked or had a job last week [discrepancies: none]This variable indicates the industry (2-digit) in which the person worked.00NIU (not in universe)01Crop cultivation02Forestry03Livestock and livestock products04Fishery05Services for crop cultivation, forestry, livestock and livestock products, fishery06Coal mining and processing07Crude petroleum and natural gas products08Ferrous ore mining09Non-ferreous ore mining10Non-metal mineral mining11Other mining12Logging and transport of timber and bamboo 13Food products14Manufacture of food products15Beverage16Tobacco products17Textiles18Wearing apparel and related products19Leather, furs, down and feather products20Products of wood, bamboo, cane, palm, straw,etc.21Furniture22Paper and paper products23Printing and replication of recording media24Cultural, educational and sports products25Petroleum refining and coking26Chemical materials and products27Medical and pharmaceutical products28Chemical fibers29Rubber products30Plastic products31Non-metal mineral products32Ferrous metal smelting and processing33Non-ferrous metal smelting and processing34Metal products35Common equipment and machinery36Special equipment37Transport equipment39Weapon and ammunition manufacturing40Electric equipment and machinery41Electronic and communication equipment42Instruments, meters, cultural and office machinery43Other machinery44Electricity, steam and hot water production and supply45Gas production and supply46Water production and supply47House and civil engineering construction48Cable, pipe and equipment installation49Construction and ornamentation50Geological prospecting51Water conservancy52Railway transport53Highway transport54Pipeline transport55Water transport56Air transport57Transport auxiliary58Other transport59Warehousing60Post and telecommunication61Wholesale of food, beverages, tobacco and household goods62Wholesale of power resources, materials, and machinery and electronics equipments63Wholesale of other products64Retail trade65Commercial brokerage and agency services67Restaurants68Finance70Insurance72Real estate development and operation73Real estate management74Real estate broker and agent75Public facilities services76Resident services78Hotels79Lease services80Tour services81Recreational services82Information and consultancy services83Computer application services84Other social services85Health services86Sports87Social welfare and social security89Education90Culture and arts91Radio, television and films92Scientific research93General technical services94State administrations95Political party administrations96Social organizations97Mass organizations99Other industries not listed aboveWork: Industry Variables -- PERSONOccupation (3-digit)20. Please list the specific duty at work. ____<span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R20. Occupation</span>
<br />It refers to any kinds of paid social activities a person undertakes. Need to fill in the detailed work. This question should be answered by persons who chose 1 or 2 in R17.
<br />Categorization of occupation follows the principle of "uniformity" of the nature of work. Uniformity means persons who conduct uniform types of work, regardless of their economic sectors, contract terms, or industrial focuses, should be put in the same category. The census defines 8 major categories, 65 secondary categories, and 410 minor categories for occupation.
<br />Filling in this question should pay attention to the following things:</p>
<div class="i1">Fill in the detailed work. For example, avoid using general terms such as "worker", but be specific about the types of work such as "locksmith", "mine worker", etc. Persons work in government agencies also need to specify the detailed work content, such as "typist" and "statistician" rather than simply putting them as "cadre". For technical staff, write down their fields of expertise instead of putting them as "researcher" or "engineer". <br />For persons who take senior positions of technical or administrative rank, include their specific titles and posts in the answers.<br />If a person's work duties are not yet decided or a person is not undertaking any specific tasks, put "undecided" in the answer.<br />If a person does not have a regular or permanent job, record the work he or she undertook during the week prior to the census. <br />If a person engages in agricultural work, as long as he or she has a relatively stable job in village- or township- enterprises, put down the enterprise job (even if the person works on farmland a week prior to the census).<br />If a person engaged in more than one types of work the week prior to the census, record the one that he or she worked for the longest period of time. If time is unknown, record the one with the highest pay. If a person engages in different jobs at the same workplace, record the one that is more "technically advanced". <br />If encountering a person who is unfamiliar with types of occupation or is illiterate, ask carefully before recording his or her answers.<br />If encountering a person who does not know his or her or their family member's occupation, ask carefully before recording answers.</div><p>This question is the last one asking about economic activities of employed persons. Those who answered this question can skip R21 and R22 and go directly to R23.China 2000: Persons age 15+ who worked or had a job last week [discrepancies: none]This variable indicates the person's occupation (3-digit).000NIU (not in universe)010Heads of the Central Committee of the Communist Party of China and local organizations at all levels021Heads of state power organs and their working institutions022Heads of People's Political Consultative Conference and its working bodies023Heads of the People's Courts024Heads of the People's Procuratorates025Heads of state administrative organs and their working bodies029Heads of other state organs and their working bodies031Heads of democratic parties032Heads of trade unions, the Communist Youth League, the Women's Federation, other people's organizations and their working institutions033Heads of grassroots mass self-governing organizations039Heads of other social groups and their working institutions041Heads of education and teaching units042Heads of health units043Heads of scientific research units049Heads of other institutions050Heads of enterprises111Philosophy researchers112Economics researchers113Law researchers114Sociology researchers115Educational science researchers116Literature and art researchers117Library science and information science researchers118Historical researchers119Management science researchers121Math researchers122Physics researchers123Chemical researchers125Earth science researchers126Biological science researchers127Agricultural science researchers128Medical researchers129Other scientific researchers131Geological exploration engineering technicians132Surveying and mapping engineering technicians133Mine engineering technicians134Petroleum engineering technicians135Metallurgical engineering technicians136Chemical engineering technicians137Mechanical engineering technicians138Ordnance engineering technicians139Aeronautical engineering technicians141Aerospace engineering technicians142Electronic engineering technicians143Communication engineering technicians144Computer and application engineering technicians145Electrical engineering technicians146Power engineering technicians147Postal engineering technicians148Radio, film and television engineering technicians149Transportation engineering technicians151Civil aviation engineering technicians152Railway engineering technicians153Construction engineering technicians154Building materials engineering technicians155Forestry engineering technicians156Hydraulic engineering technicians157Marine engineering technicians158Aquatic engineering technicians159Textile engineering technicians161Food engineering technicians162Meteorological engineering technicians163Earthquake engineering technicians164Environmental protection engineering technicians165Security engineering technicians166Standardization, metering and quality engineering technicians167Management (industry) engineering technicians169Engineering technicians, unknown171Soil and fertilizer technicians172Plant protection technicians173Gardening technicians174Crop genetics, breeding and cultivation technicians175Veterinarians, veterinary technicians176Animal husbandry and grass technicians179Other agricultural technicians181Flight crew and pilots182Ship commanders and pilots189Other aircraft and marine technicians191Western medicine physicians192Traditional Chinese medicine physicians193Integrative Chinese and western medicine physicians194Ethnic physicians195Public health physicians196Pharmacy personnel197Medical technicians198Nursing personnel199Other professional health technicians211Economic planner212Statistician213Accounting personnel214Auditors215International business people219Other economic professionals or unknown221Bank business personnel222Insurance business personnel223Securities business personnel229Other financial professionals or unknown231Judges232Prosecutors233Lawyers234Notaries235Judicial identification personnel236Clerks239Other legal professionals or unknown241Higher education teachers242Secondary vocational education teachers243High school teachers244Elementary school teachers245Kindergarten teachers246Special education teachers249Other teaching personnel or unknown251Literary writers and critics252Choreographers and music conductors253Actors or actresses254Instrumentalists255Film, television production and stage professionals256Arts professionals257Arts and crafts professionals259Other literary and art workers, or unknown260Sports staff271Reporters272Editors273Proofreaders274Announcers and presenters275Translators and interpreters276Libraries and archives business personnel277Archaeology and cultural relics protection staff279Other press, publication and cultural staff280Religious professionals290Other professional technicians311Administrative business personnel312Administrative affairs personnel319Other administrative office staff or unknown321People's police322Security guards323Firefighters329Other security officers, police, and firefighters, or unknown331Postal business personnel332Telecommunication business personnel333Telecommunications and communication transmission business personnel339Other postal and telecommunications services workers or unknown390Other office staff and related personnel411Operating personnel412Sales personnel413Procurement personnel414Auction, pawn and leasing personnel415Recycling of waste materials personnel416Grain and oil management personnel417Commodity surveillance and market management personnel419Other commercial staff or unknown421Custodians422Storage and transportation personnel429Other warehouse staff or unknown431Chinese cooking personnel432Western cooking personnel433Bartender and tea art personnel434Nutritious meals personnel435Restaurant service personnel439Other attendants in restaurants or unknown441Hotel service personnel442Tourist and public tour place service personnel443Fitness and recreation place service personnel449Other hotel, tourism and fitness entertainment service personnel451Freeway and road transportation service personnel452Railway passenger and freight transportation service personnel453Air transportation service personnel454Water transportation service personnel459Other transportation service personnel460Auxiliary health service personnel471Social intermediary service personnel472Property management personnel473Water, heating and domestic fuel supply service personnel474Beauty salon personnel475Photography service personnel476Optometry and glasses personnel477Dyeing and darning personnel478Bath service personnel479Seal lettering personnel481Daily mechanical and electrical product maintenance personnel482Office equipment maintenance personnel483Childcare, family service personnel484Environmental sanitation personnel485Funeral service personnel489Other social services and residential domestic service personnel490Other commercial and service personnel511Field crop production personnel512Agricultural experiment personnel513Horticultural crop production personnel514Tropical crop production personnel515Chinese herbal medicine production personnel516Agricultural,sideline and forestry products processing personnel519Other plant production personnel521Forestry personnel522Forest resource management and protection personnel523Wildlife protection and nature reservation personnel524Wood logging and transportation personnel529Other forestry production and wildlife protection personnel531Livestock breeders532Poultry breeders533Bee breeders534Laboratory animal breeders535Animal disease control personnel536Grass production personnel539Other animal husbandry production personnel541Aquaculture personnel542Aquatic fishing and related personnel543Fishery production staff, undocumented category549Other fishery production personnel551River and reservoir maintenance personnel552Farmland irrigation and drainage engineering construction management and maintenance personnel553Soil and water conservation operating personnel554Hydrographic survey operating personnel559Other water conservancy facilities management and maintenance workers591Agricultural and forestry machinery operators592Rural energy development and utilization personnel598Other agriculture, forestry, animal husbandry, fisheries and water conservancy production personnel, unknown611Geological exploration personnel612Mapping personnel613Mineral mining personnel614Mineral processing personnel615Drilling personnel616Oil and gas extraction personnel617Salt production personnel619Other exploration and mineral mining personnel621Ironmaking personnel622Steelmaking personnel623Ferroalloy smelting personnel624Heavy non-ferrous metal smelting personnel625Light non-ferrous metal smelting personnel626Precious metal smelting personnel627Semiconductor material preparation personnel628Metal rolling personnel629Cast iron pipe personnel631Carbon product production personnel632Carbide production personnel639Other metal smelting and rolling personnel641General technical personnel for chemical product production642Petroleum refining production personnel643Coal chemical production personnel644Chemical fertilizer production personnel645Inorganic chemical products production personnel646Basic organic chemical products production personnel647Synthetic resin production personnel648Synthetic rubber production personnel649Chemical fiber production personnel651Synthetic leather production personnel652Fine chemical products production personnel653Information recording material production personnel654Gunpowder and explosive production personnel655Forestry chemical products production personnel656Composite material processing personnel657Daily chemical production personnel659Other chemical products production personnel661Mechanical cold processing personnel662Mechanical hot processing personnel663Special processing equipment operators664Cold sheet metal processing personnel665Workpiece surface treatment processing personnel666Abrasive and tool manufacturing and processing personnel667Aerospace device processing and molding personnel669Other machinery manufacturing and processing personnel671Basic part and component assembly personnel672Mechanical equipment assembly personnel673Power equipment assembly personnel674Electrical components and equipment assembly personnel675Special electronic equipment assembly and debugging personnel676Instrumentation assembly personnel677Transportation vehicle assembly personnel678Membrane water treatment equipment manufacturing personnel679Medical device assembly and prosthetics and orthotics production personnel681Daily machinery and electrical appliances manufacturing and assembly personnel682Hardware production and assembly personnel683Armored vehicle assembly and test personnel684Gun manufacturing personnel685Bomb manufacturing personnel687Pyrotechnics manufacturing personnel688Anti-chemical device manufacturing personnel689Shipbuilding personnel691Aviation product assembly and debugging personnel699Other electromechanical product assembly personnel711Mechanical equipment maintenance personnel712Instrumentation repairer personnel713Civil aircraft maintenance personnel719Other mechanical equipment maintenance personnel721Power equipment installation personnel722Power generation operation duty personnel723Power transmission, distribution and substation equipment duty personnel724Power equipment service personnel725Power supply and consumption personnel726Life and production power equipment installation, operation and repair personnel729Other power equipment installation, operation, service and power supply personnel731Electronic component manufacturing personnel732Electronic element manufacturing personnel733Battery manufacturing personnel734Electronic equipment assembly and debugging personnel735Electronic product maintenance personnel739Other electronic components and equipment manufacturing, assembly, debugging and maintenance personnel741Rubber products production personnel742Plastic products processing personnel749Other rubber and plastic products production personnel751Fiber Pretreatment personnel752Spinning personnel753Weaving personnel754Knitting personnel755Printing and dyeing personnel759Other textile, knitting, printing and dyeing personnel761Cutting and sewing personnel762Shoe and hat production personnel763Leather and fur processing personnel764Sewing products reprocessing personnel769Other production personnel for cutting, sewing and processing of leather and fur products771Grain and oil production and processing personnel772Sugar production and sugar products processing personnel773Dairy, cold food and canned food, beverage production personnel774Brewing, food additives and condiments production personnel775Grain, oil and food production personnel776Slaughter and processing personnel777Meat and egg food processing personnel778Feed production and processing personnel779Other grain and oil, food, beverage production and processing and feed production and processing personnel781Original Tobacco redrying personnel782Cigarette production personnel783Tobacco acetate fiber tow rod production personnel789Other tobacco and its products processing personnel791Synthetic medicine manufacturing personnel792Biotechnology pharmaceutical (product) personnel793Pharmaceutical agent personnel794Chinese herbal medicine pharmaceutical personnel799Other pharmaceutical production personnel811Wood processing personnel812Wood-based panel production personnel813Wood products production personnel814Pulping personnel815Paper making personnel816Paper products production personnel819Other wood processing, wood-based panel production, wood product production and pulping, paper making and paper products production and processing personnel821Cement and cement products production and processing personnel822Wall and roofing materials production personnel823Waterproof and sealing building materials production personnel824Building insulation and sound-absorbing materials production personnel825Decorative stone production personnel826Non-metallic minerals and their products production and processing personnel827Refractory materials production personnel829Other building materials production and processing personnel831Glass melting and production personnel832Fiberglass and its products production personnel833Quartz glass products processing personnel834Ceramic products production personnel835Enamel products production personnel839Other glass, ceramics, enamel and their products production and processing personnel841Film and television products production personnel842Audio-visual products production and reproduction personnel843Installation, commissioning and operation operators of radio, film and television stage equipment844Film projection personnel845Cultural relics protection operating personnel849Other radio, film and television products production and broadcasting personnel, cultural relics protection operating personnel851Pre-printing processing personnel852Printing operators853Post-printing production personnel859Other printing personnel861Jewelry processing and production personnel862Carpet production personnel863Toy production personnel864Lacquer handicrafts production personnel865Drawnwork and embroidery handicrafts production personnel866Metal handicrafts production personnel867Carving handicrafts production personnel868Crafts production personnel869Other arts and crafts production personnel871Cultural and educational supplies production personnel872Sports supplies production personnel873Musical instruments production personnel879Other cultural, educational and sports supplies production personnel881Earthwork construction personnel882Masonry personnel883Concrete preparation and products processing personnel884Steel reinforcing bar processing personnel885Construction shelf erection personnel886Engineering waterproofing personnel887Decoration and remodeling personnel888Ancient building repair and building personnel889Road construction, maintenance, repair personnel891Engineering equipment installation personnel899Other engineering construction personnel911Freeway (road) transportation machinery and equipment operators and related personnel912Railway and subway transportation machinery and equipment operators and related personnel913Civil aviation equipment operators and related personnel914Water transportation equipment operators and related personnel915Lifting and unloading machinery operators and related personnel919Other transportation equipment operators and related personnel921Environmental monitoring and waste disposal workers, undocumented category922Environmental monitoring and waste disposal workers, undocumented category923Environmental monitoring and waste disposal workers, undocumented category929Environmental monitoring and waste disposal workers, undocumented category931Inspection personnel932Aviation product inspection personnel933Spacecraft inspection and test personnel934Metering personnel939Other inspection and metering personnel991Package worker992Pump operators993Simple physical work labors999Other production, transport equipment operators and related workers, unknownWork: Occupation Variables -- PERSONOccupation (2-digit)20. Please list the specific duty at work. ____<span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R20. Occupation</span>
<br />It refers to any kinds of paid social activities a person undertakes. Need to fill in the detailed work. This question should be answered by persons who chose 1 or 2 in R17.
<br />Categorization of occupation follows the principle of "uniformity" of the nature of work. Uniformity means persons who conduct uniform types of work, regardless of their economic sectors, contract terms, or industrial focuses, should be put in the same category. The census defines 8 major categories, 65 secondary categories, and 410 minor categories for occupation.
<br />Filling in this question should pay attention to the following things:</p>
<div class="i1">Fill in the detailed work. For example, avoid using general terms such as "worker", but be specific about the types of work such as "locksmith", "mine worker", etc. Persons work in government agencies also need to specify the detailed work content, such as "typist" and "statistician" rather than simply putting them as "cadre". For technical staff, write down their fields of expertise instead of putting them as "researcher" or "engineer". <br />For persons who take senior positions of technical or administrative rank, include their specific titles and posts in the answers.<br />If a person's work duties are not yet decided or a person is not undertaking any specific tasks, put "undecided" in the answer.<br />If a person does not have a regular or permanent job, record the work he or she undertook during the week prior to the census. <br />If a person engages in agricultural work, as long as he or she has a relatively stable job in village- or township- enterprises, put down the enterprise job (even if the person works on farmland a week prior to the census).<br />If a person engaged in more than one types of work the week prior to the census, record the one that he or she worked for the longest period of time. If time is unknown, record the one with the highest pay. If a person engages in different jobs at the same workplace, record the one that is more "technically advanced". <br />If encountering a person who is unfamiliar with types of occupation or is illiterate, ask carefully before recording his or her answers.<br />If encountering a person who does not know his or her or their family member's occupation, ask carefully before recording answers.</div><p>This question is the last one asking about economic activities of employed persons. Those who answered this question can skip R21 and R22 and go directly to R23.China 2000: Persons age 15+ who worked or had a job last week [discrepancies: none]This variable indicates the person's occupation (2-digit).00NIU (not in universe)01Head of Central Committee and local organizations of the Communist Party of China 02Head of government offices and related agencies03Head of democratic parties, social organizations and related agencies04Head of public institutions05Managers of enterprises11Science researchers13Engineers17Agricultural technicians18Ships and aircraft technicians19Health professionals21Economic professionals22Financial professionals23Legal professionals24Teachers25Literary and art workers26Sports workers27Journalism, publishing, and culture workers28Religious professionals29Other professionals and technicians31Administrative office staff32Security officers, police, and firefighters33Postal and telecommunications services workers39Other administrative staff and office workers41Commercial staff42Warehouse staff43Attendants in restaurants 44Attendants in hotels, tourism, sports, and entertainment clubs45Transportation service46Health support services staff47Social services and living service personnel49Other commercial and service personnel51Farmers52Forestry and wildlife protection workers53Livestock production staff54Fishery production staff55Water conservancy facilities management and maintenance workers59Other agriculture, forestry, animal husbandry, fisheries and water conservancy production personnel61Mineral exploration and mining workers62Metal smelting and rolling workers64Chemical products production workers66Machinery manufacturing and processing workers67Mechanical and electrical products assembler71Machinery and equipment repair workers72Electrical equipment installation, operation, maintenance and supply workers73Electronic components and equipments manufacturing, assembly, commissioning and maintenance workers74Rubber and plastic products production workers75Textile, knitting, dyeing and printing workers76Workers for cutting, sewing and leather and fur manufacturing77Workers for oil, food, beverage, and forage production and processing78Tobacco and related products processing workers79Drug manufacturing workers81Wood processing, plywood production, pulp and wood products, paper and paper products production and processing workers82Building materials production and processing workers83Glass, ceramics, enamel products production and processing workers84Radio and television producers, broadcast and heritage conservation workers85Printing staff86Art and handicraft article manufacturing workers87Education and sport related article manufacturing workers88Construction workers91Transportation equipment operators and related workers92Environmental monitoring and waste disposal workers93Experiment and testing staff99Other production, transport equipment operators and related workersWork: Occupation Variables -- PERSONActivity status (last week)21. Status for the unemployed</p>
<div class="i1">[] 1 Attending an educational institute<br />[] 2 Performing household duties<br />[] 3 Retired<br />[] 4 Lost the ability of work<br />[] 5 Had never worked before and is looking for a job<br />[] 6 Lost last job and is looking for a job, please provide the previous occupation: ____<br />[] 7 Other</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R21. Status of the unemployed persons</span>
<br />This question should be answered by people who chose 3 in R17. There are seven standard answers to this question. </p>
<div class="i1">Students, meaning those enrolled and receiving education at different types of schools at different levels. <br />Household work, meaning those engaged in unpaid household work in their own households. In rural families, persons who do both household work and agricultural work are considered working persons and should answer R20. Those who are on the job market and about to be employed should also answer R20. <br />Retired, meaning those who are retired workers or cadres and those depending on retirement pension. Those retired persons who return to engage in social works and receiving reimbursement (or payment) are considered employed persons and should answer R20.<br />Disabled, meaning those who lost their ability to work due to mental, physical, or health reasons. Those who receive retirement pensions do not apply to this category. <br />Never employed but on the job market, meaning those who are never employed but capable to work, and are actively looking for jobs.<br />Unemployed but on the job market, meaning those who lost their previous jobs but are capable to work. They are not employed during the week prior to the census but are actively looking for jobs. Persons who chose this answer also need to report their previous occupation. <br />Others, meanings any status that are not captured by the above categories.</div>China 2000: Persons age 15+ who did not work last week [discrepancies: none]This variable indicates the person's unemployment status.1Attending an educational institute2Performing household duties3Retired4Lost the ability of work5Had never worked before and is looking for a job6Lost last job and is looking for a job7Other9NIU (not in universe)Work Variables -- PERSONOccupation for the unemployed (2-digit)21. Status for the unemployed</p>
<div class="i1">[] 1 Attending an educational institute<br />[] 2 Performing household duties<br />[] 3 Retired<br />[] 4 Lost the ability of work<br />[] 5 Had never worked before and is looking for a job<br />[] 6 Lost last job and is looking for a job, please provide the previous occupation: ____<br />[] 7 Other</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R21. Status of the unemployed persons</span>
<br />This question should be answered by people who chose 3 in R17. There are seven standard answers to this question. </p>
<div class="i1">Students, meaning those enrolled and receiving education at different types of schools at different levels. <br />Household work, meaning those engaged in unpaid household work in their own households. In rural families, persons who do both household work and agricultural work are considered working persons and should answer R20. Those who are on the job market and about to be employed should also answer R20. <br />Retired, meaning those who are retired workers or cadres and those depending on retirement pension. Those retired persons who return to engage in social works and receiving reimbursement (or payment) are considered employed persons and should answer R20.<br />Disabled, meaning those who lost their ability to work due to mental, physical, or health reasons. Those who receive retirement pensions do not apply to this category. <br />Never employed but on the job market, meaning those who are never employed but capable to work, and are actively looking for jobs.<br />Unemployed but on the job market, meaning those who lost their previous jobs but are capable to work. They are not employed during the week prior to the census but are actively looking for jobs. Persons who chose this answer also need to report their previous occupation. <br />Others, meanings any status that are not captured by the above categories.</div>China 2000: Persons age 15+ who experienced unemployment and are looking for work [discrepancies: none]This variable indicates an unemployed person's occupation (2-digit) for the previous job.00NIU (not in universe)01Head of Central Committee and local organizations of the Communist Party of China 02Head of government offices and related agencies03Head of democratic parties, social organizations and related agencies04Head of public institutions05Managers of enterprises11Science researchers13Engineers17Agricultural technicians18Ships and aircraft technicians19Health professionals21Economic professionals22Financial professionals23Legal professionals24Teachers25Literary and art workers27Journalism, publishing, and culture workers29Other professionals and technicians31Administrative office staff32Security officers, police, and firefighters33Postal and telecommunications services workers39Other administrative staff and office workers41Commercial staff42Warehouse staff43Attendants in restaurants 44Attendants in hotels, tourism, sports, and entertainment clubs45Transportation service46Health support services staff47Social services and living service personnel49Other commercial and service personnel51Farmers52Forestry and wildlife protection workers53Livestock production staff54Fishery production staff55Water conservancy facilities management and maintenance workers59Other agriculture, forestry, animal husbandry, fisheries and water conservancy production personnel61Mineral exploration and mining workers62Metal smelting and rolling workers64Chemical products production workers66Machinery manufacturing and processing workers67Mechanical and electrical products assembler71Machinery and equipment repair workers72Electrical equipment installation, operation, maintenance and supply workers73Electronic components and equipments manufacturing, assembly, commissioning and maintenance workers74Rubber and plastic products production workers75Textile, knitting, dyeing and printing workers76Workers for cutting, sewing and leather and fur manufacturing77Workers for oil, food, beverage, and forage production and processing78Tobacco and related products processing workers79Drug manufacturing workers81Wood processing, plywood production, pulp and wood products, paper and paper products production and processing workers82Building materials production and processing workers83Glass, ceramics, enamel products production and processing workers84Radio and television producers, broadcast and heritage conservation workers85Printing staff86Art and handicraft article manufacturing workers87Education and sport related article manufacturing workers88Construction workers91Transportation equipment operators and related workers92Environmental monitoring and waste disposal workers93Experiment and testing staff99Other production, transport equipment operators and related workersWork: Occupation Variables -- PERSONSource of income for the unemployed22. Please indicate the sources for the living expenses</p>
<div class="i1">[] 1 Retirement pension<br />[] 2 Receiving stipend for living<br />[] 3 Supported by other family members<br />[] 4 Income from properties owned<br />[] 5 From insurance<br />[] 6 Other</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="h3">The following questions reflect economic characteristics of the population. </span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R22. Sources of living expenses for unemployed persons</span>
<br />The question has six standard answers. If a person has multiple sources of income, record the one that is his or her major income source. </p>
<div class="i1">Retirement pensions, meaning those retired and live on pensions. Those retired persons who return to engage in social works and receiving reimbursement (or payment) are considered employed persons and should answer R20.<br />Receiving basic stipend for living, meaning receiving support according to basic living necessities (not to the salary standard). This includes stipend offered by closed-down enterprises or social security funds offered to laid-off workers, disabled persons, families of martyrs, or families who qualified as "five guarantees". <br />Supports from family members, meaning the person receives subsidies from other family members. <br />Property-related incomes, meaning the person lives on interests, dividends, or rents from savings, loans, stock shares, property rentals, etc. <br />Insurance, meaning the person lives on insurance provided by insurance companies. <br />Others, meanings any status that are not captured by the above categories.</div>China 2000: Persons age 15+ who did not work last week [discrepancies: none]This variable indicates the source of income for an unemployed person.1Retirement pension2Receiving stipend for living3Supported by other family members4Income from properties owned5From insurance6Other9NIU (not in universe)Income Variables -- PERSONMarital status23. Marital status</p>
<div class="i1">[] 1 Single<br />[] 2 First marriage<br />[] 3 Remarried<br />[] 4 Divorced<br />[] 5 Widow</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R23. Marital status</span>
<br />This question asks a person's "actual" marital status rather than legal marital status at the time of census. Those who are below the legal marital age but in marital relations should answer according to their real status. </p>
<div class="i1">1. Single. Those who are in domestic partnership, if they reject to report themselves as married, choose single. <br />2. First-time married with spouse.<br />3. Re-married with spouse. It also covers those who married for more than twice.<br />4. Divorced, meaning those who already divorced or in the process of filing divorce. <br />5. Widowed, meaning those who lost their spouse but not yet re-married.</div>China 2000: Persons age 15+ [discrepancies: none]This variable indicates the person's marital status.1Single2First marriage3Remarried4Divorced5Widowed9NIU (not in universe)Demographic Variables -- PERSONYear of first marriage24. Age of the first marriage, please provide date of marriage also: ____<span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R24. Date of first marriage</span>
<br />It asks about the year and month of a person's first marriage. Those who chose 2 to 5 in R23 should answer this question.China 2000: Persons age 15+ who were ever married [discrepancies: none]This variable indicates the year of the person’s first marriage.19151915 or before191619161917191719181918191919191920192019211921192219221923192319241924192519251926192619271927192819281929192919301930193119311932193219331933193419341935193519361936193719371938193819391939194019401941194119421942194319431944194419451945194619461947194719481948194919491950195019511951195219521953195319541954195519551956195619571957195819581959195919601960196119611962196219631963196419641965196519661966196719671968196819691969197019701971197119721972197319731974197419751975197619761977197719781978197919791980198019811981198219821983198319841984198519851986198619871987198819881989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020009998Unknown9999NIU (not in universe)Demographic Variables -- PERSONMale children ever bornFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>25. Number of liveborns</p>
<div class="i1">_ _ Male<br />_ _ Female</div><p>Number of living children</p>
<div class="i1">_ _ Male<br />_ _ Female</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R25. Number of children born to the respondents </span>
<br />Fill in the number of children ever born to the female respondents by the time of census. Record the number of boys and girls separately.</p>
<p><span class="em">Number of live-born children</span> records the number of live new-born children the female respondent gave birth to. It includes those born alive but died soon after. Fill in the number of females and males separately. Live-born means: at the time of delivery (no matter how long the duration of pregnancy was), the baby had breath, heartbeat, umbilical pulse, voluntary muscle contraction, or other signals of life.
<br /><span class="em">Number of living children </span>records the number of living females and males that the respondent gave birth to. It includes those who live in the household as well as those who do not.
<br />This question asks about only the biological children and do not include those of husband's ex-wife, step children, and in principle adopted children. For some women who keep the adoptive relationship confidential, the adoptee can be considered as biological children and living children.China 2000: Females age 15 to 50 [discrepancies: type I 0.6%; type II 6.5%]This variable indicates the number of male children ever born to the respondent.00None01102203304405506607708809999NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children ever bornFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>25. Number of liveborns</p>
<div class="i1">_ _ Male<br />_ _ Female</div><p>Number of living children</p>
<div class="i1">_ _ Male<br />_ _ Female</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R25. Number of children born to the respondents </span>
<br />Fill in the number of children ever born to the female respondents by the time of census. Record the number of boys and girls separately.</p>
<p><span class="em">Number of live-born children</span> records the number of live new-born children the female respondent gave birth to. It includes those born alive but died soon after. Fill in the number of females and males separately. Live-born means: at the time of delivery (no matter how long the duration of pregnancy was), the baby had breath, heartbeat, umbilical pulse, voluntary muscle contraction, or other signals of life.
<br /><span class="em">Number of living children </span>records the number of living females and males that the respondent gave birth to. It includes those who live in the household as well as those who do not.
<br />This question asks about only the biological children and do not include those of husband's ex-wife, step children, and in principle adopted children. For some women who keep the adoptive relationship confidential, the adoptee can be considered as biological children and living children.China 2000: Females age 15 to 50 [discrepancies: type I 0.6%; type II 6.5%]This variable indicates the number of female children ever born to the respondent.00None01102203304405506607708809999NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children surviving<span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R25. Number of children born to the respondents </span>
<br />Fill in the number of children ever born to the female respondents by the time of census. Record the number of boys and girls separately.</p>
<p><span class="em">Number of live-born children</span> records the number of live new-born children the female respondent gave birth to. It includes those born alive but died soon after. Fill in the number of females and males separately. Live-born means: at the time of delivery (no matter how long the duration of pregnancy was), the baby had breath, heartbeat, umbilical pulse, voluntary muscle contraction, or other signals of life.
<br /><span class="em">Number of living children </span>records the number of living females and males that the respondent gave birth to. It includes those who live in the household as well as those who do not.
<br />This question asks about only the biological children and do not include those of husband's ex-wife, step children, and in principle adopted children. For some women who keep the adoptive relationship confidential, the adoptee can be considered as biological children and living children.China 2000: Females age 15 to 50 [discrepancies: type I 0.6%; type II 6.5%]This variable indicates the number of male children born to the respondent that are still surviving.00None011022033044055066077+99NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children surviving<span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R25. Number of children born to the respondents </span>
<br />Fill in the number of children ever born to the female respondents by the time of census. Record the number of boys and girls separately.</p>
<p><span class="em">Number of live-born children</span> records the number of live new-born children the female respondent gave birth to. It includes those born alive but died soon after. Fill in the number of females and males separately. Live-born means: at the time of delivery (no matter how long the duration of pregnancy was), the baby had breath, heartbeat, umbilical pulse, voluntary muscle contraction, or other signals of life.
<br /><span class="em">Number of living children </span>records the number of living females and males that the respondent gave birth to. It includes those who live in the household as well as those who do not.
<br />This question asks about only the biological children and do not include those of husband's ex-wife, step children, and in principle adopted children. For some women who keep the adoptive relationship confidential, the adoptee can be considered as biological children and living children.China 2000: Females age 15 to 50 [discrepancies: type I 0.6%; type II 6.5%]This variable indicates the number of female children born to the respondent that are still surviving.00None011022033044055066077088+99NIU (not in universe)Fertility and Mortality Variables -- PERSONBirths in the last 12 monthsFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>26. Fertility between November 1st, 1999 and October 31st, 2000</p>
<div class="i1">[] 1 Never pregnant and never give birth<br />[] 2 Had given birth(s) before, please provide the date of the babies are born and the gender of the baby. ____</div><div class="i2">If more than one pregnancy occurred during this period, please provide the date of the birth due to the 2nd pregnancy and the gender of the baby. ____</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R26. Fertility between Nov 1, 1999 and Oct 31, 2000</span>
<br />This question asks if the female respondents have given birth to children during the 12 months before the census. </p>
<div class="i1">No birth.<br />If the respondent has given birth during the 12 month period, record the months of birth and the gender of the children. Those who gave birth twice or to twins, record information of the second child to the right. The census does not record information for the third or later children.</div>China 2000: Females age 15 to 50 [discrepancies: type I 0.6%; type II 6.7%]This variable indicates whether the respondent ever gave birth in the last 12 months.1No2Yes8Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONMonth of birth of first child born in the last 12 monthsFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>26. Fertility between November 1st, 1999 and October 31st, 2000</p>
<div class="i1">[] 1 Never pregnant and never give birth<br />[] 2 Had given birth(s) before, please provide the date of the babies are born and the gender of the baby. ____</div><div class="i2">If more than one pregnancy occurred during this period, please provide the date of the birth due to the 2nd pregnancy and the gender of the baby. ____</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R26. Fertility between Nov 1, 1999 and Oct 31, 2000</span>
<br />This question asks if the female respondents have given birth to children during the 12 months before the census. </p>
<div class="i1">No birth.<br />If the respondent has given birth during the 12 month period, record the months of birth and the gender of the children. Those who gave birth twice or to twins, record information of the second child to the right. The census does not record information for the third or later children.</div>China 2000: Females age 15 to 50 who gave birth in the last 12 months [discrepancies: none]This variable indicates the month of birth of the first child born to the respondent in the last 12 months.01January02February03March04April05May06June07July08August09September10October11November12December98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONSex of first child born in the last 12 monthsFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>26. Fertility between November 1st, 1999 and October 31st, 2000</p>
<div class="i1">[] 1 Never pregnant and never give birth<br />[] 2 Had given birth(s) before, please provide the date of the babies are born and the gender of the baby. ____</div><div class="i2">If more than one pregnancy occurred during this period, please provide the date of the birth due to the 2nd pregnancy and the gender of the baby. ____</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R26. Fertility between Nov 1, 1999 and Oct 31, 2000</span>
<br />This question asks if the female respondents have given birth to children during the 12 months before the census. </p>
<div class="i1">No birth.<br />If the respondent has given birth during the 12 month period, record the months of birth and the gender of the children. Those who gave birth twice or to twins, record information of the second child to the right. The census does not record information for the third or later children.</div>China 2000: Females age 15 to 50 who gave birth in the last 12 months [discrepancies: none]This variable indicates the sex of the first child born to the respondent in the last 12 months.1Male2Female9NIU (not in universe)Fertility and Mortality Variables -- PERSONMonth of birth of second child born in the last 12 monthsFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>26. Fertility between November 1st, 1999 and October 31st, 2000</p>
<div class="i1">[] 1 Never pregnant and never give birth<br />[] 2 Had given birth(s) before, please provide the date of the babies are born and the gender of the baby. ____</div><div class="i2">If more than one pregnancy occurred during this period, please provide the date of the birth due to the 2nd pregnancy and the gender of the baby. ____</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R26. Fertility between Nov 1, 1999 and Oct 31, 2000</span>
<br />This question asks if the female respondents have given birth to children during the 12 months before the census. </p>
<div class="i1">No birth.<br />If the respondent has given birth during the 12 month period, record the months of birth and the gender of the children. Those who gave birth twice or to twins, record information of the second child to the right. The census does not record information for the third or later children.</div>China 2000: Females age 15 to 50 who gave birth to two or more children in the last 12 months [discrepancies: unverifiable]This variable indicates the month of birth of the second child born to the respondent in the last 12 months.01January 02February03March04April05May06June07July08August09September10October11November12December98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONSex of second child born in the last 12 monthsFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>26. Fertility between November 1st, 1999 and October 31st, 2000</p>
<div class="i1">[] 1 Never pregnant and never give birth<br />[] 2 Had given birth(s) before, please provide the date of the babies are born and the gender of the baby. ____</div><div class="i2">If more than one pregnancy occurred during this period, please provide the date of the birth due to the 2nd pregnancy and the gender of the baby. ____</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R26. Fertility between Nov 1, 1999 and Oct 31, 2000</span>
<br />This question asks if the female respondents have given birth to children during the 12 months before the census. </p>
<div class="i1">No birth.<br />If the respondent has given birth during the 12 month period, record the months of birth and the gender of the children. Those who gave birth twice or to twins, record information of the second child to the right. The census does not record information for the third or later children.</div>China 2000: Females age 15 to 50 who gave birth to two or more children in the last 12 months [discrepancies: none]This variable indicates the sex of the second child born to the respondent in the last 12 months.1Male2Female9NIU (not in universe)Fertility and Mortality Variables -- PERSONUsual residence typeChina 2000: All personsThis variable indicates whether the person belongs to city, town, or county population.
City population: Total population of districts under the jurisdiction of city with district establishment and the population of street under the jurisdiction of city without district establishment. Town population: Total resident-committees population of towns under the jurisdiction of city without district establishment and the resident-committees population of towns under the jurisdiction of county. County population: Total population except city population and town population.1City2Town 3CountyMigration: Global Variables -- PERSONHousehold type2. Type of household</p>
<div class="i1">[] 1 Family<br />[] 2 Collective</div><span class="h1">Part Two. Household records</span></p>
<p><span class="em">Every household should fill in items H1 through H8. </span></p>
<p><span class="em">H2. Type of household: family-based household or collective household</span>
<br />Collective household is defined by individuals sharing a same room. For example, a company has 30 employees that each of them holds a collective household registration. They live in five rooms of the same building. Therefore, each room is a collective household. The 30 employees form five collective households (rather than one).China 2000: All personsThis variable indicates the type of household in which the person lives.1Family2CollectiveOther Person Variables -- PERSONAge at first marriage24. Age of the first marriage, please provide date of marriage also: ____<span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R17 through R24 apply to persons who are 15 years or older. </span></p>
<p><span class="em">R24. Date of first marriage</span>
<br />It asks about the year and month of a person's first marriage. Those who chose 2 to 5 in R23 should answer this question.China 2000: Persons age 15+ ever married [discrepancies: type I none; type II trace]This variable indicates the person's age at first marriage.000NIU (not in universe)01313 or younger01414015150161601717018180191902020021210222202323024240252502626027270282802929030300313103232033330343403535036360373703838039390404004141042420434304444045450464604747048480494905050051510525205353054540555505656057570585805959060600616106262063630646406565066660676706868069690707007171072720737307474075750767607777078780797908080081810828208383084840858508686 or older999UnknownDemographic Variables -- PERSONChildren ever bornFor women aged between 15 and 50.
<br />[Questions 25 and 26.]</p>
<p>25. Number of liveborns</p>
<div class="i1">_ _ Male<br />_ _ Female</div><p>Number of living children</p>
<div class="i1">_ _ Male<br />_ _ Female</div><span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R25. Number of children born to the respondents </span>
<br />Fill in the number of children ever born to the female respondents by the time of census. Record the number of boys and girls separately.</p>
<p><span class="em">Number of live-born children</span> records the number of live new-born children the female respondent gave birth to. It includes those born alive but died soon after. Fill in the number of females and males separately. Live-born means: at the time of delivery (no matter how long the duration of pregnancy was), the baby had breath, heartbeat, umbilical pulse, voluntary muscle contraction, or other signals of life.
<br /><span class="em">Number of living children </span>records the number of living females and males that the respondent gave birth to. It includes those who live in the household as well as those who do not.
<br />This question asks about only the biological children and do not include those of husband's ex-wife, step children, and in principle adopted children. For some women who keep the adoptive relationship confidential, the adoptee can be considered as biological children and living children.China 2000: Females age 15 to 50 [discrepancies: type I none; type II 7.6%]This variable indicates the number of children ever born to the respondent.00None011022033044055066077088099101011111212+99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren surviving<span class="h2">Part One. Personal Records</span></p>
<p><span class="em">R25 and R26 only apply to female between age 15 and 50.</span></p>
<p><span class="em">R25. Number of children born to the respondents </span>
<br />Fill in the number of children ever born to the female respondents by the time of census. Record the number of boys and girls separately.</p>
<p><span class="em">Number of live-born children</span> records the number of live new-born children the female respondent gave birth to. It includes those born alive but died soon after. Fill in the number of females and males separately. Live-born means: at the time of delivery (no matter how long the duration of pregnancy was), the baby had breath, heartbeat, umbilical pulse, voluntary muscle contraction, or other signals of life.
<br /><span class="em">Number of living children </span>records the number of living females and males that the respondent gave birth to. It includes those who live in the household as well as those who do not.
<br />This question asks about only the biological children and do not include those of husband's ex-wife, step children, and in principle adopted children. For some women who keep the adoptive relationship confidential, the adoptee can be considered as biological children and living children.China 2000: Females age 15 to 50 who ever gave birth [discrepancies: type I none; type II 0.1%]This variable indicates the number of children born to the respondent that are still surviving.00None0110220330440550660770880991010+99NIU (not in universe)Fertility and Mortality Variables -- PERSONAge4. Please provide the age and the month and year of birth </p>
<div class="i1">____ Age<br />____ Month of birth<br />____ Year of birth</div><span class="h2">Part One. Personal Records</span></p>
<p>All persons should report R1 - R12.</p>
<p><span class="em">R8. Birthplace</span>
<br />This should be the same as the permanent living place of a person's mother.
<br />There are three standard answers for this question.</p>
<div class="i1">1. The same county/city/district<br />2. A different county/city/district in the same province<br />3. A different province</div><p>A person's birthplace is usually the same as their mother's permanent living place. In cases that a person's birthplace is a hospital, put their mother's permanent living place.China 2000: All personsThis variable indicates the person's age.000Less than 1001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101+Demographic Variables -- PERSON