General Population Census of Cambodia, 1998 DDI_KHM_1998_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. General Population Census of Cambodia, 1998 - IPUMS Subset PHC kh1998a (IPUMS Harmonized Subset) KHM_1998_PHC_v01_M_v7.6_A_IPUMS National Institute of Statistics, Ministry of Planning IPUMS (c) Copyright 1998, National Institute of Statistics, Ministry of Planning and Minnesota Population Center National Institute of Statistics, Ministry of Planning Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Ethnicity and Language Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Fertility and Mortality Variables -- PERSON March 3, 1998 March 3 to 12, 1998 Cambodia Districts with 20,000+ population; combined as necessary by IPUMS. Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A building is generally a single structure on the ground. It is covered by a roof and usually enclosed within external walls or with common dividing walls with adjacent buildings. In some areas the very nature of construction of houses is such that there may not be any wall. For example a conical roof almost touches the ground and an entrance is also provided and there will not be any wall as such. Such structures should be treated as buildings. - Households: A household is a group of persons who commonly live together and would take their meals from a common kitchen unless the exigencies of work prevented any of them from doing so. - Group quarters: An institutional household is a household of unrelated persons like boarding houses, messes, hostels, residential hotels, rescues homes, jails, pagodas etc. It should be noted that if a group of persons who are unrelated to each other live in a building/structure, but do not have their meals from a common kitchen, then they would not constitute an Institutional household. Persons living in boats which are on the move are referred to as boat population. Transient population includes the following: (i) persons who stayed on Census Night in airports, railway stations, bus stands, harbours, ferries and in carts (as travellers) (ii) nomadic population who camped on Census Night in a village (iii) persons who on Census Night stayed in ships within the Cambodian territorial waters and (iv) persons who stayed on Census Night at international border posts. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Cambodia 1998 MICRODATA SOURCE: National Institute of Statistics, Ministry of Planning SAMPLE SIZE (person records): 1141254. SAMPLE DESIGN: Stratified systematic sample. Persons living in boats which are on the move are referred to as boat population. Transient population includes the following: (i) persons who stayed on Census Night in airports, railway stations, bus stands, harbours, ferries and in carts (as travellers) (ii) nomadic population who camped on Census Night in a village (iii) persons who on Census Night stayed in ships within the Cambodian territorial waters and (iv) persons who stayed on Census Night at international border posts. Face-to-face [f2f] Form A: Houselist and Form B: Household Questionnaire. The latter for the information used here. de facto, CENSUS DAY: March 3, 1998 Self-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 Institute of Statistics, Ministry of Planning Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Cambodia, National Institute of Statistics, Ministry of Planning. General Population Census of Cambodia, 1998 The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for kh1998a, 2025 KHM1998_PHC-H-H.dat Household records 223,513 ascii Minnesota Population Center Version 7.5, IPUMS sample KHM1998_PHC-P-H.dat Person records 1141254 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE 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. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY 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). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR 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. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE 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). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL 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 -- HOUSEHOLD Number of person records in the household PERSONS 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 -- HOUSEHOLD Household weight HHWT 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 -- HOUSEHOLD Subsample number SUBSAMP 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. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ 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. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st 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 -- HOUSEHOLD 2nd 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 -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Cambodia, Province 1998 - 2019 [Level 1; consistent boundaries, GIS] GEO1_KH identifies the household's province (khêt) or autonomous municipalities (krong) within Cambodia in all sample years. Provinces are the first level administrative units of the country. GEO1_KH 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_KH can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cambodia 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. 116001 Banteay Meanchey 116002 Battambang 116003 Kampong Cham, Tbong Khmum 116004 Kampong Chhnang 116005 Kampong Speu 116006 Kampong Thom 116007 Kampot 116008 Phnom Penh, Kandal 116009 Koh Kong, Preah Sihanouk 116010 Kratie 116011 Mondul Kiri 116013 Preah Vihear 116014 Prey Veng 116015 Pursat 116016 Ratanak Kiri 116017 Siem Reap, Otdar Meanchey 116019 Stung Treng 116020 Svay Rieng 116021 Takeo 116023 Kep 116024 Pailin Geography: A-E Variables -- HOUSEHOLD Cambodia, Province 1998 [Level 1, GIS] GEO1_KH1998 identifies the household's province within Cambodia in 1998. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_KH1998 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cambodia 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. 001 Banteay Mean Chey 002 Bat Dambang 003 Kampong Cham 004 Kampong Chhnang 005 Kampong Spueu 006 Kampong Thum 007 Kampot 008 Kandal 009 Kaoh Kong 010 Kracheh 011 Mondol Kiri 012 Phnom Penh 013 Preah Vihear 014 Prey Veaeng 015 Pousat 016 Rotanak Kiri 017 Siem Reab 018 Krong Preah Sihanouk 019 Stueng Traeng 020 Svay Rieng 021 Takaev 022 Otdar Mean Chey 023 Krong Kaeb 024 Krong Pailin Geography: A-E Variables -- HOUSEHOLD Cambodia, District 1998 - 2019 [Level 2; consistent boundaries, GIS] GEO2_KH identifies the household's district within Cambodia in all sample years. Districts are the second level administrative units of the country, after provinces. GEO2_KH is spatially harmonized accounting 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_KH can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cambodia 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. 116001001 Preah Netr Preah, Krong Serei Saophoan 116001002 Mongkol Borei 116001003 Ou Chrov, Krong Paoy Paet 116001004 Svay Chek 116001005 Thma Puok 116001006 Phnum Srok 116001007 Malai 116001098 Banteay Meanchey province, district unknown 116002001 Koas Krala, Moung Ruessei, Rukhak Kiri 116002002 Krong Battambang 116002003 Sangkae 116002004 Thma Koul 116002005 Bavel 116002006 Banan 116002007 Rotonak Mondol, Samlout 116002008 Aek Phnum 116002009 Kamrieng, Phnom Proek 116002011 Sampov Lun 116002098 Battambang province, district unknown 116003001 Tboung Khmum, Krong Suong 116003002 Memot 116003003 Ponhea 116003004 Prey Chhor 116003005 Batheay 116003006 Stueng Trang 116003007 Chamkar Leu 116003008 Kampong Siem 116003009 Cheung Prey 116003010 Dambae 116003011 Kang Meas 116003012 Krouch Chhmar 116003013 Srei Santhor 116003014 Ou Reang Ov 116003015 Kaoh Soutin 116003016 Krong Kampong Cham 116003098 Kampong Cham and Tbong Khmum province, district unknown 116004001 Rolea B'ier 116004002 Kampong Tralach 116004003 Sameakki Mean Chey 116004004 Tuek Phos 116004005 Baribor 116004006 Kampong Leaeng 116004007 Krong Kampong Chhnang 116004008 Chol Kiri 116005001 Samraong Tong 116005002 Kong Pisei 116005003 Odongk 116005004 Basedth 116005005 Phnum Sruoch, Aoral 116005006 Thpong 116005007 Krong Chbar Mon 116006001 Baray, Taing Kouk 116006002 Stoung 116006003 Santuk 116006004 Kampong Svay 116006005 Sandan 116006006 Krong Stueng Saen 116006007 Prasat Ballangk 116006008 Prasat Sambour 116007001 Chum Kiri, Tuek Chhou, Chhuk 116007002 Kampong Trach 116007003 Banteay Meas 116007004 Angkor Chey 116007005 Dang Tong 116007006 Krong Kampot 116008001 Angk Snuol, Kambol, Kandal Stueng, Mukh Kampul, Ponhea Lueu, Chrouy Changvar, Dangkao, Sen Sok, Ruessei Kaev, Preaek Phnov, Pou Senchey 116008002 Kien Svay, Chhbar Ampov, Mean Chey 116008003 S'ang 116008004 Doun Penh 116008005 Tuol Kouk 116008006 Khsach Kandal 116008007 Boeng Keng Kang, Chamkar Mon 116008008 Kaoh Thum 116008009 Krong Ta Khmau 116008010 Lvea Aem 116008011 Prampir Meakkakra 116008012 Leuk Daek 116008098 Phnom Penh and Kandal provinces, district unknown 116009001 Prey Nob 116009002 Srae Ambel, Stueng Hav, Kampong Seila 116009003 Krong Preah Sihanouk 116009004 Botum Sakor, Kaoh Kong, Mondol Seima, Thma Bang, Kiri Sakor 116009005 Krong Khemarak Phoumin 116009098 Koh Kong and Preah Sihanouk provinces, district unknown 116010001 Snuol 116010002 Krong Kracheh, Chitr Borie 116010003 Sambour 116010004 Preaek Prasab 116010005 Chhloung 116010098 Kratie province, district unknown 116011001 Kaev Seima, Krong Saen Monourom 116011002 Ou Reang, Pech Chreada, Kaoh Nheaek 116013001 Choam Khsant 116013002 Rovieng 116013003 Tbaeng Mean Chey, Krong Preah Vihear, Kuleaen 116013005 Chey Saen 116013006 Chhaeb 116013007 Sangkum Thmei 116013098 Preah Vihear province, district unknown 116014001 Pou Rieng, Pea Reang, Krong Prey Veng 116014002 Preah Sdach 116014003 Kampong Trabaek 116014004 Svay Antor 116014005 Me Sang 116014006 Kamchay Mear 116014007 Ba Phnum 116014008 Sithor Kandal 116014009 Kanhchriech 116014010 Peam Ro 116014011 Peam Chor 116014098 Prey Veng province, district unknown 116015001 Bakan, Phnum Kravanh, Ta Lou 116015002 Kandieng, Krong Pursat 116015003 Krakor 116015004 Veal Veaeng 116016001 Andoung Meas, Koun Mom, Ou Chum 116016002 Ta Veaeng, Veun Sai 116016003 Krong Ban Lung 116016004 Bar Kaev 116016005 Lumphat 116016006 Ou Ya Dav 116017001 Prasat Bakong, Puok, Krong Siem Reab 116017002 Anlong Veaeng, Chong Kal, Svay Leu, Trapeang Prasat, Varin 116017003 Chi Kraeng 116017004 Soutr Nikom 116017005 Krong Samraong 116017006 Angkor Chum 116017007 Banteay Ampil 116017008 Kralanh 116017009 Banteay Srei 116017010 Srei Snam 116017011 Angkor Thum 116019001 Sesan, Siem Pang, Borei O'Svay Sen Chey, Thala Barivat, Krong Stueng Traeng 116019002 Siem Bouk 116020001 Chantrea, Kampong Rou, Svay Chrum, Krong Svay Rieng, Svay Teab, Krong Bavet 116020002 Romeas Haek 116020003 Rumduol 116020098 Svay Rieng province, district unknown 116021001 Tram Kak 116021002 Bati 116021003 Samraong 116021004 Treang 116021005 Prey Kabbas 116021006 Kiri Vong 116021007 Krong Doun Kaev 116021008 Kaoh Andaet 116021009 Angkor Borei 116021010 Borei Cholsar 116023001 Damnak Chang'aeur, Krong Kaeb 116024001 Krong Pailin, Sala Krau Geography: A-E Variables -- HOUSEHOLD Cambodia, District 1998 [Level 2, GIS] GEO2_KH1998 identifies the household's district within Cambodia in 1998. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_KH1998 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cambodia 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. 001001 Mongkol Borei 001002 Ou Chrov 001003 Serei Saophoan 001004 Preah Netr Preah 001005 Thma Puok 001006 Svay Chek 001007 Phnum Srok 001008 Malai 002001 Svay Pao 002002 Moung Ruessei 002003 Bat Dambang 002004 Sangkae 002005 Banan 002006 Bavel 002007 Aek Phnum 002008 Kamrieng, Phnom Proek, Sampov Lun 002009 Rotonak Mondol 002010 Samlout 003001 Tboung Khmum 003002 Prey Chhor 003003 Chamkar Leu 003004 Ponhea Kraek 003005 Memot 003006 Stueng Trang 003007 Krouch Chhmar 003008 Kampong Siem 003009 Srei Santhor 003010 Batheay 003011 Kang Meas 003012 Ou Reang Ov 003013 Cheung Prey 003014 Kaoh Soutin 003015 Dambae 003016 Kampong Cham 004001 Rolea B'ier 004002 Kampong Tralach 004003 Sameakki Mean Chey 004004 Baribour 004005 Tuek Phos 004006 Kampong Chhnang 004007 Kampong Leaeng 004008 Chol Kiri 005001 Samraong Tong 005002 Basedth 005003 Odongk 005004 Kong Pisei 005005 Phnum Sruoch 005006 Thpong 005007 Chbar Mon 005008 Aoral 006001 Baray 006002 Stoung 006003 Kampong Svay 006004 Stueng Saen 006005 Santuk 006006 Prasat Balangk 006007 Sandan 006008 Prasat Sambour 007001 Kampot 007002 Banteay Meas 007003 Kampong Trach 007004 Chhuk 007005 Angkor Chey 007006 Dang Tong 007007 Chum Kiri 007008 Kampong Bay 008001 S'ang 008002 Kien Svay 008003 Kaoh Thum 008004 Khsach Kandal 008005 Ponhea Lueu 008006 Angk Snuol 008007 Mukh Kampul 008008 Kandal Stueng 008009 Lvea Aem 008010 Ta Khmau 008011 Leuk Daek 009001 Srae Ambel, Kampong Seila 009002 Kaoh Kong, Mondol Seima, Thma Bang, Kiri Sakor 009003 Smach Mean Chey 009004 Botum Sakor 010001 Kracheh 010002 Preaek Prasab 010003 Chhloung 010004 Sambour 010005 Snuol 011001 Kaoh Nheaek, Ou Reang, Pech Chenda 011002 Kaev Seima, Saen Monourom 012001 Chamkar Mon 012002 Russei Kaev 012003 Mean Chey 012004 Tuol Kouk 012005 Doun Penh 012006 Prampir Meakkakra 012007 Dangkao 013001 Chey Saen, Rovieng, Sangkom Thmei 013002 Chhaeb, Choam Khsant, Kuleaen 013003 Tbaeng Mean Chey 014001 Pea Reang 014002 Preah Sdach 014003 Kampong Trabaek 014004 Me Sang 014005 Prey Veaeng 014006 Ba Phnum 014007 Kamchay Mear 014008 Peam Chor 014009 Peam Ro 014010 Sithor Kandal 014011 Kanhchriech 014012 Kampong Leav 015001 Bakan 015002 Krakor 015003 Sampov Meas 015004 Kandieng 015005 Phnum Kravanh 015006 Veal Veaeng 016001 Bar Kaev, Ou Chum 016002 Koun Mom, Lumphat 016003 Andoung Meas, Ou Ya Dav 016004 Ban Lung 016005 Ta Veaeng, Veun Sai 017001 Siem Reab 017002 Puok 017003 Chi Kraeng 017004 Soutr Nikom 017005 Kralanh 017006 Prasat Bakong 017007 Angkor Chum 017008 Svay Leu, Varin 017009 Banteay Srei 017010 Srei Snam 017011 Angkor Thum 018001 Stueng Hav, Prey Nob 018002 Mittakpheap 019001 Siem Bouk, Thala Barivat 019002 Sesan, Siem Pang 019003 Stueng Traeng 020001 Svay Chrum 020002 Romeas Haek 020003 Kampong Rou 020004 Svay Teab 020005 Rumduol 020006 Chantrea 020007 Svay Rieng 021001 Tram Kak 021002 Bati 021003 Samraong 021004 Treang 021005 Kiri Vong 021006 Prey Kabbas 021007 Angkor Borei 021008 Kaoh Andaet 021009 Doun Kaev 021010 Borei Cholsar 022001 Banteay Ampil 022002 Samraong 022003 Chong Kal 022004 Anlong Veaeng 023001 Damnak Chang'aeur, Kaeb 024001 Pailin, Sala Krau Geography: A-E Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE 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. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS 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. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES 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). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS 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). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS 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). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC 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 -- HOUSEHOLD Dwelling number Cambodia 1998: All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Cambodia 1998: All households The variable indicates the number of persons in a household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Cambodia 1998: All households This variable indicates whether the dwelling created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Urban rural Cambodia 1998: All households This variable indicates whether the household is located in urban or rural area. 1 Urban 2 Rural Geography: A-E Variables -- HOUSEHOLD Household type <svar v="KH98A027" a="all"><span class="em">Type of Household / Population (Give appropriate code in the box below)</span><br /><div class="i1">1 Normal or Regular Household<br />2 Institutional household *<br />3 Homeless Household *<br />4 Boat Population *<br />5 Transient Population * ___ (Specify location)<br /><br />* In these cases [], fill-in only Identification Particulars. Population Particulars in Statements 1.1, 1.2 and 1.3 are not to be collected in these cases.</div><br /></svar> <svar v="KH98A027"><span class="h3">Household</span><br /><br />27. A household is a group of persons who commonly live together and would take their meals from a common kitchen unless the exigencies of work prevented any of them from doing so. There may be a household of persons related by blood or a household of unrelated persons or having a mix of both. Examples of unrelated households are boarding houses, messes, hostels, residential hotels, rescue homes, jails, pagodas, etc. These are called "Institutional Households". There may be one- member households, two-member households or multi-member households. For census purposes each one of these types is regarded as a "Household".<br />28. If a group of persons who are unrelated to each other live in a building/structure, but do not have their meals from a common kitchen, then they would not constitute an Institutional household. Each such person should be treated as a separate household. The important link in finding out whether there is a household or not, is the existence of a common kitchen.<br /><br /><div class="i1">28.1 Each household in a building will be allotted numbers like 01, 02 etc., and will be listed according to the instructions that follow. As each household will be related to the physical structure of a building, the household number as such may not be painted (or marked on a sticker) on the door of each building. In case there are several households in a building (e.g. flats) household numbers may be painted on the door (or marked on a sticker) for easy identification.</div><br /></svar></p> <p><svar v="KH98A027" a="all"><span class="em">Type of Household / Population</span><br /><br />57. Give suitable code in the box provided for this purpose. For a normal household, give Code 1.<br /></svar></p> <p><svar v="KH98A027"><span class="h3">Homeless Household</span><br /><br />129. This type of household includes households who do not live in a building or structure (e.g. those who live on the road side, pavements, park, in open space outside a pagoda or market etc.). Such population in your EA should be enumerated around midnight of March 3, 1998 i.e. on Census Night itself. In order to do this you will have to take note of the possible places where such population normally live in your EA. You can do this during House listing. Please, however, note that since such population live in the open, without a building or structure, they will not be listed in the House list (Form A). You will have to cover all such homeless households and enumerate them in Form B on the Census Night. If there is likely to be a large number of homeless persons in your EA., you may not be able to enumerate single-handed in one night. You should report this fact to your supervisor in advance so that one or more extra enumerators can be appointed to assist you in the one-night enumeration of such homeless persons. Beggars, vagrants and persons of unsound mind who live without a shelter have to be enumerated as homeless population and should not be missed.<br /></svar></p> <p><svar v="KH98A027"><span class="em">Boat Population</span><br /><br />131. Persons living in boats which are on the move are referred to as boat population. They will be enumerated on Census Night. Before enumeration, boats found in a EA will be given separate three digit numbers as follows:- B001, B002 etc. The letter B before the number indicates it is a Boat number. This number will be prominently written on the boat with chalk piece or on the sticker affixed. Please note that Form A House list will not be filled-in for boats. Separate Form B should be filled-in for people in boats treating each boat as a separate building or structure. In identification particulars in Part 1 of Form B boat number should be written under building number. Give Code 4 in the box under "Type of household/ Population". Instructions for enumerating the boat population will be the same as for normal households except that (1) Statements 1:1, 1:2 and 1:3 and Total Statements in Part 1 of Form B will not be filled in and (2) Part 4 of Form B will also not be filled in.<br /><br /><span class="em">Transient Population</span><br /><br />132. This category of population includes the following: (i) persons who stayed on Census Night in airports, railway stations, bus stands, harbours, ferries and in carts (as travellers) (ii) nomadic population who camped on Census Night in a village (iii) persons who on Census Night stayed in ships within the Cambodian territorial waters and (iv) persons who stayed on Census Night at international border posts.<br /><br />Enumeration of transient population will be done in Form B following the same instructions as given for homeless households. However, please note that in the case of transient population, you have to give Code 5 in the box under "Type of Household/Population" in Part 1. You should also indicate on the dotted line above the box, the place where such population is found (e.g. Phnom Penh Railway Station, Ship Sorya in the harbour). Special arrangements will be made to enumerate transient population on Census Night.<br /></svar> Cambodia 1998: All households This variable indicates the type of household. 1 Regular 2 Institutional 3 Homeless 4 Boat population 5 Transient Group Quarters Variables -- HOUSEHOLD Ownership <span class="h1">Form B Household Questionnaire Part 4: Housing Conditions and Facilities** (Enter Code in the box below)</span></p> <p>**Part 4 need not be filled-in for Institutional and Homeless Households and for Boat and Transient Population.</p> <p><svar v="KH98A029" a="all"><span class="em">1 On what basis does the household occupy this dwelling?</span><br /><div class="i1">1 Owner occupied<br />2 Rent<br />3 Not owner, but rent free<br />4 ___ Other (specify)<br />[ ]</div><br /></svar> <svar v="KH98A029" a="all"><span class="em">Column 1: On what basis do you occupy this dwelling?</span><br /><br />119. Four code numbers have been provided for recording the answers to this question. Dwelling here refers to the room or the set of rooms occupied by the household.<br /><br /><div class="i1">119.1 Owner occupied: Give Code 1 if the household has a dwelling belonging to either the head or a member of the household for which no rent is being paid. Note that this group includes persons occupying houses or buildings on hire purchase basis or living in houses or buildings built with loan from financial institutions for which full payments have not been made. Note also that even if the head or a member of household owns part of a family house which was occupied by the household you should give Code 1.<br /><br />119.2 Rent: Give Code 2 if the household has been paying rent for its accommodation. Remember that rent here implies the payment of money at the end of a specified period.<br /><br />119.3 Not owner, but rent-free: Give Code 3 if the household has an accommodation free of charge although the house or building is not the property of the head or any member of this household. For example, households staying in family houses free of rent.<br /><br />119.4 Other, (specify): Give Code 4 for any answer not fitting in any of the three categories specified above and specify the basis on which the household occupies the dwelling.</div><br /></svar> Cambodia 1998: Regular households [discrepancies: none] This variable indicates the occupancy status of a regular household. 1 Owner 2 Rent 3 Rent free 4 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Light <span class="h1">Form B Household Questionnaire Part 4: Housing Conditions and Facilities** (Enter Code in the box below)</span></p> <p>**Part 4 need not be filled-in for Institutional and Homeless Households and for Boat and Transient Population.</p> <p><svar v="KH98A030" a="all"><span class="em">2 Main source of light</span><br /><div class="i1">1 City power<br />2 Generator<br />3 Both city power and generator<br />4 Kerosene<br />5 Candle <br />6 Battery<br />7 ___ Other (specify)<br />[ ]</div><br /></svar> <svar v="KH98A030" a="all"><span class="em">Column 2: Main Source of Light</span><br /><br />120. Determine the type of lighting used in the household most of the time and give the appropriate code. The types of lighting and their codes are as follows:<br /><br /><div class="i1">1. City power<br />2. Generator<br />3. Both city power and generator<br />4. Kerosene<br />5. Candle<br />6. Battery<br />7. ___ Other, (specify)</div><br /><br />Please note that City Power (Code 1) means electricity supplied by Electricity Department or any Agency. Generator (Code 2) refers to private generator used by household.<br /></svar> Cambodia 1998: Regular households [discrepancies: none] This variable indicates the main source of lighting used in the household. 1 City power 2 Generator 3 City + generator 4 Kerosene 5 Candle 6 Battery 7 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Cooking fuel <span class="h1">Form B Household Questionnaire Part 4: Housing Conditions and Facilities** (Enter Code in the box below)</span></p> <p>**Part 4 need not be filled-in for Institutional and Homeless Households and for Boat and Transient Population.</p> <p><svar v="KH98A031" a="all"><span class="em">3 Main cooking fuel</span><br /><div class="i1">1 Firewood<br />2 Charcoal <br />3 Kerosene<br />4 Liquefied Petroleum Gas (LPG) <br />5 Electricity<br />6 None<br />7 ___ Other (specify)<br />[ ]</div><br /></svar> <svar v="KH98A031" a="all"><span class="em">Column 3: Main Cooking Fuel</span><br /><br />121. Find out from respondent the kind of fuel used by the household most of the time for cooking. Give the code for the appropriate item. If two or more kinds of cooking fuel are used, e.g. electricity and LPG; LPG and wood; kerosene and charcoal; etc. give code for the fuel which is used most of the time for cooking.<br />The codes for the kind of fuel used for cooking are as follows:<br /><br /><div class="i1">1. Firewood<br />2. Charcoal<br />3. Kerosene<br />4. Liquefied Petroleum Gas (LPG)<br />5. Electricity<br />6. None<br />7. ___ Other, (specify)</div><br /></svar> Cambodia 1998: Regular households [discrepancies: none] This variable indicates the main cooking fuel used by the household. 1 Firewood 2 Charcoal 3 Kerosene 4 Lpg 5 Electricity 6 None 7 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Toilet <span class="h1">Form B Household Questionnaire Part 4: Housing Conditions and Facilities** (Enter Code in the box below)</span></p> <p>**Part 4 need not be filled-in for Institutional and Homeless Households and for Boat and Transient Population.</p> <p><svar v="KH98A032" a="all"><span class="em">4 Toilet facility within premises</span><br /><div class="i1">1 Available<br />2 Not available<br />[ ]</div><br /></svar> <svar v="KH98A032" a="all"><span class="em">Column 4: Toilet Facility within Premises</span><br /><br />122. Only one of the Codes (1 for available and 2 for not available) should be recorded. Note that toilet here refers to any installation which is used for the disposal of human excreta. Premises refers to the house or building in which household is living and not to the household. If there is no toilet in the house or building in which household is living, you should give Code 2.<br /></svar> Cambodia 1998: Regular households [discrepancies: none] This variable indicates the availability of toilet facility within household premises. 1 Yes 2 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Water <span class="h1">Form B Household Questionnaire Part 4: Housing Conditions and Facilities** (Enter Code in the box below)</span></p> <p>**Part 4 need not be filled-in for Institutional and Homeless Households and for Boat and Transient Population.</p> <p><svar v="KH98A033" a="all"><span class="em">5 Main source of drinking water supply</span><br /><div class="i1">1 Piped water <br />2 Tube / pipe well<br />3 Dug well<br />4 Spring, river, stream, lake / pond, rain<br />5 Bought<br />6 ___ Other (specify)<br />[ ]</div><br /></svar> <svar v="KH98A033" a="all"><span class="em">Column 5: Main Source of Drinking Water Supply</span><br /><br />123. Give appropriate code for the household's main source of drinking water supply. If there are two or more sources of drinking water supply, give the code of the source used most of the times. Following are the codes for different sources of drinking water supply:<br /><br /><div class="i1">1. Piped water<br />2. Tube / pipe well<br />3. Dug well<br />4. Spring, river, stream, lake/pond, rain<br />5. Bought<br />6. ___ Other, (specify)</div><br /><br />Please note that Bought (Code 5) refers to buying water from shops or from street vendors. In that case, give Code 5. If a household gets drinking water through pipe for which payment is made, the Code to be given is 1 and not 5.<br /></svar> Cambodia 1998: Regular households [discrepancies: none] This variable indicates the main source of drinking water supply. 1 Piped water 2 Tube or piped well 3 Dug well 4 Spring, river 5 Bought 6 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Rooms <span class="h1">Form B Household Questionnaire Part 4: Housing Conditions and Facilities** (Enter Code in the box below)</span></p> <p>**Part 4 need not be filled-in for Institutional and Homeless Households and for Boat and Transient Population.</p> <p><svar v="KH98A034" a="all"><span class="em">6 No. of rooms occupied by household (exclude kitchen, bathroom, toilet and storeroom)</span><br /><div class="i1">1 One Room<br />2 Two Rooms<br />3 Three Rooms<br />4 Four Rooms<br />5 Five Rooms<br />6 Six Rooms<br />7 Seven Rooms<br />8 Eight Rooms and above<br /><br />[ ]</div><br /></svar> <svar v="KH98A034" a="all"><span class="em">Column 6: No. of rooms occupied by Household</span><br /><br />124. Record in the square provided in this column, the number of rooms occupied by the household as indicated in the column itself. If a household is in occupation of more than eight rooms you have to record only 8.<br /><br /><div class="i1">124.1 A room should have four walls with a roof and a doorway. It should be wide and long enough for a person to sleep in. In giving the number of rooms occupied by household you should exclude kitchen, store room, bathroom and toilet, which are not normally usable for living or sleeping. A room which is shared by more than one household will not be counted by any of them.</div><br /></svar> Cambodia 1998: Regular households [discrepancies: none] This variable indicates the number of rooms occupied by household. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 Not reported Dwelling Characteristics Variables -- HOUSEHOLD Strata Cambodia 1998: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places Geography: A-E Variables -- HOUSEHOLD Person number PERNUM 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 -- PERSON Person weight PERWT 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 -- PERSON Mother's location in household MOMLOC 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 mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC 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 father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC 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 spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE 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. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE 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. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP 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. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL 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. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND 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. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT 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 -- PERSON Number of own family members in household FAMSIZE 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). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital 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. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital 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. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Children ever born CHBORN 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. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, Cambodia; [Level1: consistent boundaries, GIS] BPL1_KH indicates the person's province of birth within Cambodia. Birthplace province codes for BPL1_KH are compatible with codes for GEO1_KH. 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. 116001 Banteay Meanchey 116002 Battambang 116003 Kampong Cham, Tbong Khmum 116004 Kampong Chhnang 116005 Kampong Speu 116006 Kampong Thom 116007 Kampot 116008 Phnom Penh, Kandal 116009 Koh Kong, Preah Sihanouk 116010 Kratie 116011 Mondul Kiri 116013 Preah Vihear 116014 Prey Veng 116015 Pursat 116016 Ratanak Kiri 116017 Siem Reap, Otdar Meanchey 116019 Stung Treng 116020 Svay Rieng 116021 Takeo 116023 Kep 116024 Pailin 116097 Foreign country 116098 Unknown 116099 NIU (not in universe) Nativity and Birthplace Variables -- PERSON District of birth, Cambodia; [Level 2; consistent boundaries, GIS] BPL2_KH indicates the person's district of birth within Cambodia. Birthplace district codes for BPL2_KH are compatible with codes for GEO2_KH. 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. 116001001 Preah Netr Preah, Krong Serei Saophoan 116001002 Mongkol Borei 116001003 Ou Chrov, Krong Paoy Paet 116001004 Svay Chek 116001005 Thma Puok 116001006 Phnum Srok 116001007 Malai 116001098 Banteay Meanchey province, district unknown 116002001 Koas Krala, Moung Ruessei, Rukhak Kiri 116002002 Krong Battambang 116002003 Sangkae 116002004 Thma Koul 116002005 Bavel 116002006 Banan 116002007 Rotonak Mondol, Samlout 116002008 Aek Phnum 116002009 Kamrieng, Phnom Proek 116002011 Sampov Lun 116002098 Battambang province, district unknown 116003001 Tboung Khmum, Krong Suong 116003002 Memot 116003003 Ponhea 116003004 Prey Chhor 116003005 Batheay 116003006 Stueng Trang 116003007 Chamkar Leu 116003008 Kampong Siem 116003009 Cheung Prey 116003010 Dambae 116003011 Kang Meas 116003012 Krouch Chhmar 116003013 Srei Santhor 116003014 Ou Reang Ov 116003015 Kaoh Soutin 116003016 Krong Kampong Cham 116003098 Kampong Cham and Tbong Khmum province, district unknown 116004001 Rolea B'ier 116004002 Kampong Tralach 116004003 Sameakki Mean Chey 116004004 Tuek Phos 116004005 Baribor 116004006 Kampong Leaeng 116004007 Krong Kampong Chhnang 116004008 Chol Kiri 116004098 Kampong Chhnang province, district unknown 116005001 Samraong Tong 116005002 Kong Pisei 116005003 Odongk 116005004 Basedth 116005005 Phnum Sruoch, Aoral 116005006 Thpong 116005007 Krong Chbar Mon 116005098 Kampong Speu province, district unknown 116006001 Baray, Taing Kouk 116006002 Stoung 116006003 Santuk 116006004 Kampong Svay 116006005 Sandan 116006006 Krong Stueng Saen 116006007 Prasat Ballangk 116006008 Prasat Sambour 116006098 Kampong Thom province, district unknown 116007001 Chum Kiri, Tuek Chhou, Chhuk 116007002 Kampong Trach 116007003 Banteay Meas 116007004 Angkor Chey 116007005 Dang Tong 116007006 Krong Kampot 116007098 Kampot province, district unknown 116008001 Angk Snuol, Kambol, Kandal Stueng, Mukh Kampul, Ponhea Lueu, Chrouy Changvar, Dangkao, Sen Sok, Ruessei Kaev, Preaek Phnov, Pou Senchey 116008002 Kien Svay, Chhbar Ampov, Mean Chey 116008003 S'ang 116008004 Doun Penh 116008005 Tuol Kouk 116008006 Khsach Kandal 116008007 Boeng Keng Kang, Chamkar Mon 116008008 Kaoh Thum 116008009 Krong Ta Khmau 116008010 Lvea Aem 116008011 Prampir Meakkakra 116008012 Leuk Daek 116008098 Phnom Penh and Kandal provinces, district unknown 116009001 Prey Nob 116009002 Srae Ambel, Stueng Hav, Kampong Seila 116009003 Krong Preah Sihanouk 116009004 Botum Sakor, Kaoh Kong, Mondol Seima, Thma Bang, Kiri Sakor 116009005 Krong Khemarak Phoumin 116009098 Koh Kong and Preah Sihanouk provinces, district unknown 116010001 Snuol 116010002 Krong Kracheh, Chitr Borie 116010003 Sambour 116010004 Preaek Prasab 116010005 Chhloung 116010098 Kratie province, district unknown 116011001 Kaev Seima, Krong Saen Monourom 116011002 Ou Reang, Pech Chreada, Kaoh Nheaek 116011098 Mondul Kiri province, district unknown 116013001 Choam Khsant 116013002 Rovieng 116013003 Tbaeng Mean Chey, Krong Preah Vihear, Kuleaen 116013005 Chey Saen 116013006 Chhaeb 116013007 Sangkum Thmei 116013098 Preah Vihear province, district unknown 116014001 Pou Rieng, Pea Reang, Krong Prey Veng 116014002 Preah Sdach 116014003 Kampong Trabaek 116014004 Svay Antor 116014005 Me Sang 116014006 Kamchay Mear 116014007 Ba Phnum 116014008 Sithor Kandal 116014009 Kanhchriech 116014010 Peam Ro 116014011 Peam Chor 116014098 Prey Veng province, district unknown 116015001 Bakan, Phnum Kravanh, Ta Lou 116015002 Kandieng, Krong Pursat 116015003 Krakor 116015004 Veal Veaeng 116015098 Pursat province, district unknown 116016001 Andoung Meas, Koun Mom, Ou Chum 116016002 Ta Veaeng, Veun Sai 116016003 Krong Ban Lung 116016004 Bar Kaev 116016005 Lumphat 116016006 Ou Ya Dav 116016098 Ratanak Kiri province, district unknown 116017001 Prasat Bakong, Puok, Krong Siem Reab 116017002 Anlong Veaeng, Chong Kal, Svay Leu, Trapeang Prasat, Varin 116017003 Chi Kraeng 116017004 Soutr Nikom 116017005 Krong Samraong 116017006 Angkor Chum 116017007 Banteay Ampil 116017008 Kralanh 116017009 Banteay Srei 116017010 Srei Snam 116017011 Angkor Thum 116017098 Odtar Meanchey and Siem Reap provinces, unknown district 116019001 Sesan, Siem Pang, Borei O'Svay Sen Chey, Thala Barivat, Krong Stueng Traeng 116019002 Siem Bouk 116019098 Stung Treng province, unknown district 116020001 Chantrea, Kampong Rou, Svay Chrum, Krong Svay Rieng, Svay Teab, Krong Bavet 116020002 Romeas Haek 116020003 Rumduol 116020098 Svay Rieng province, district unknown 116021001 Tram Kak 116021002 Bati 116021003 Samraong 116021004 Treang 116021005 Prey Kabbas 116021006 Kiri Vong 116021007 Krong Doun Kaev 116021008 Kaoh Andaet 116021009 Angkor Borei 116021010 Borei Cholsar 116021098 Takeo province, district unknown 116023001 Damnak Chang'aeur, Krong Kaeb 116024001 Krong Pailin, Sala Krau 116097097 Abroad 116098098 Unknown 116099099 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language Variables -- PERSON Mother tongue, Cambodia MTONGKH indicates the respondent's mother tongue: the language spoken in childhood. 00 NIU (not in universe) 01 Khmer 02 Vietnamese 03 Chinese 04 Lao 05 Thai 06 French 07 English 08 Korean 09 Japanese 10 Chaaraay 11 Chaam 12 Kaaveat 13 Klueng 14 Kuoy 15 Krueng 16 Lon 17 Phnong 18 Proav 19 Tumpoon 20 Stieng 21 Ro ong 22 Kraol 23 Raadear 24 Thmoon 25 Mel 26 Khogn 27 Por 28 Suoy 29 S'ouch 30 Kchruk 31 Mon 32 Kchak 40 Other 99 Unknown Ethnicity and Language Variables -- PERSON School attendance SCHOOL 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. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT 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. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational 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. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational 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. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Cambodia EDUCKH indicates the person's educational attainment in Cambodia in terms of the level of schooling completed and the years within that level, for primary and secondary education. 00 NIU (not in universe) 10 None 11 Preschool 21 Grade 1 (primary) 22 Grade 2 (primary) 23 Grade 3 (primary) 24 Grade 4 (primary) 25 Grade 5 (primary) 26 Grade 6 (primary) 30 Lower secondary 31 Grade 7 (lower secondary) 32 Grade 8 (lower secondary) 33 Grade 9 (lower secondary) 34 Lower secondary completed 40 Upper secondary 41 Grade 10 (upper secondary) 42 Grade 11 (upper secondary) 43 Grade 12 (upper secondary) 44 Upper secondary completed 50 Secondary technical/vocational 61 Post-secondary technical/vocational 62 Bachelor, incomplete 63 Bachelor, graduate 64 Graduate program 70 Other 99 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO 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. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Occupation, ISCO-1988, 3-digit ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Industry, general recode INDGEN 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. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Months worked last year WRKMTHS gives the number of months that the respondent worked for profit, pay, or as an unpaid family worker during the previous year. 00 Less than one month 01 1 month 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months 98 Not reported/unknown 99 NIU (not in universe) Work Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, 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] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 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] 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] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Reason for migration MIGCAUSE indicates the reason why the person moved from their previous place of residence. 00 NIU (not in universe) 10 Work 11 Seeking work 12 Job relocation 13 Job assignment 14 Opportunity 15 Proximity to work 16 Job loss 19 Other work 20 Family move 21 Follow household head 22 Follow spouse 23 Follow relative 24 Marriage of a family member 25 Divorce or separation of a family member 26 Healthcare or age of a family member 27 Death or birth of a family member 29 Other family 30 Education 31 Studies 32 End of education 33 Proximity to education 34 Other education 40 Marriage, divorce, widowhood 41 Marriage or union 42 Divorce or widowhood 50 Insecurity, disaster, or violence 51 War, conflict 52 Violence or insecurity 53 Domestic violence 54 Social or political problems, including security 55 Natural disaster 56 Refugee, reason not specified 57 Asylum seeker, reason not specified 59 Other insecurity, disaster, or violence 60 Personal 61 Age related reasons 62 Quality of life 63 Become independent 69 Other personal 70 Other reason 71 Health 72 Repatriation 73 Retirement 74 House or flat acquisition 75 Housing problems 76 Visiting 77 Ordination 78 Military or institutional housing 79 Other reason, not elsewhere classified 99 Unknown Migration: Global Variables -- PERSON Province of previous residence, Cambodia; consistent boundaries, GIS MIG1_P_KH indicates the person's province of previous residence within Cambodia. 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. 116001 Banteay Meanchey 116002 Battambang 116003 Kampong Cham, Tbong Khmum 116004 Kampong Chhnang 116005 Kampong Speu 116006 Kampong Thom 116007 Kampot 116008 Phnom Penh, Kandal 116009 Koh Kong, Preah Sihanouk 116010 Kratie 116011 Mondul Kiri 116013 Preah Vihear 116014 Prey Veng 116015 Pursat 116016 Ratanak Kiri 116017 Siem Reap, Otdar Meanchey 116019 Stung Treng 116020 Svay Rieng 116021 Takeo 116023 Kep 116024 Pailin 116097 Foreign country 116098 Unknown 116099 NIU (not in universe) Migration: A-E Variables -- PERSON District of previous residence, Cambodia; consistent boundaries, GIS MIG2_P_KH indicates the person's district of previous residence within Cambodia. Migration district codes for MIG2_P_KH are compatible with codes for GEO2_KH. 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. 116001001 Preah Netr Preah, Krong Serei Saophoan 116001002 Mongkol Borei 116001003 Ou Chrov, Krong Paoy Paet 116001004 Svay Chek 116001005 Thma Puok 116001006 Phnum Srok 116001007 Malai 116001098 Banteay Meanchey province, district unknown 116002001 Koas Krala, Moung Ruessei, Rukhak Kiri 116002002 Krong Battambang 116002003 Sangkae 116002004 Thma Koul 116002005 Bavel 116002006 Banan 116002007 Rotonak Mondol, Samlout 116002008 Aek Phnum 116002009 Kamrieng, Phnom Proek 116002011 Sampov Lun 116002098 Battambang province, district unknown 116003001 Tboung Khmum, Krong Suong 116003002 Memot 116003003 Ponhea 116003004 Prey Chhor 116003005 Batheay 116003006 Stueng Trang 116003007 Chamkar Leu 116003008 Kampong Siem 116003009 Cheung Prey 116003010 Dambae 116003011 Kang Meas 116003012 Krouch Chhmar 116003013 Srei Santhor 116003014 Ou Reang Ov 116003015 Kaoh Soutin 116003016 Krong Kampong Cham 116003098 Kampong Cham and Tbong Khmum province, district unknown 116004001 Rolea B'ier 116004002 Kampong Tralach 116004003 Sameakki Mean Chey 116004004 Tuek Phos 116004005 Baribor 116004006 Kampong Leaeng 116004007 Krong Kampong Chhnang 116004008 Chol Kiri 116004098 Kampong Chhnang province, district unknown 116005001 Samraong Tong 116005002 Kong Pisei 116005003 Odongk 116005004 Basedth 116005005 Phnum Sruoch, Aoral 116005006 Thpong 116005007 Krong Chbar Mon 116005098 Kampong Speu province, district unknown 116006001 Baray, Taing Kouk 116006002 Stoung 116006003 Santuk 116006004 Kampong Svay 116006005 Sandan 116006006 Krong Stueng Saen 116006007 Prasat Ballangk 116006008 Prasat Sambour 116006098 Kampong Thom province, district unknown 116007001 Chum Kiri, Tuek Chhou, Chhuk 116007002 Kampong Trach 116007003 Banteay Meas 116007004 Angkor Chey 116007005 Dang Tong 116007006 Krong Kampot 116007098 Kampot province, district unknown 116008001 Angk Snuol, Kambol, Kandal Stueng, Mukh Kampul, Ponhea Lueu, Chrouy Changvar, Dangkao, Sen Sok, Ruessei Kaev, Preaek Phnov, Pou Senchey 116008002 Kien Svay, Chhbar Ampov, Mean Chey 116008003 S'ang 116008004 Doun Penh 116008005 Tuol Kouk 116008006 Khsach Kandal 116008007 Boeng Keng Kang, Chamkar Mon 116008008 Kaoh Thum 116008009 Krong Ta Khmau 116008010 Lvea Aem 116008011 Prampir Meakkakra 116008012 Leuk Daek 116008098 Phnom Penh and Kandal provinces, district unknown 116009001 Prey Nob 116009002 Srae Ambel, Stueng Hav, Kampong Seila 116009003 Krong Preah Sihanouk 116009004 Botum Sakor, Kaoh Kong, Mondol Seima, Thma Bang, Kiri Sakor 116009005 Krong Khemarak Phoumin 116009098 Koh Kong and Preah Sihanouk provinces, district unknown 116010001 Snuol 116010002 Krong Kracheh, Chitr Borie 116010003 Sambour 116010004 Preaek Prasab 116010005 Chhloung 116010098 Kratie province, district unknown 116011001 Kaev Seima, Krong Saen Monourom 116011002 Ou Reang, Pech Chreada, Kaoh Nheaek 116013001 Choam Khsant 116013002 Rovieng 116013003 Tbaeng Mean Chey, Krong Preah Vihear, Kuleaen 116013005 Chey Saen 116013006 Chhaeb 116013007 Sangkum Thmei 116013098 Preah Vihear province, district unknown 116014001 Pou Rieng, Pea Reang, Krong Prey Veng 116014002 Preah Sdach 116014003 Kampong Trabaek 116014004 Svay Antor 116014005 Me Sang 116014006 Kamchay Mear 116014007 Ba Phnum 116014008 Sithor Kandal 116014009 Kanhchriech 116014010 Peam Ro 116014011 Peam Chor 116014098 Province of Prey Veng, district unknown 116015001 Bakan, Phnum Kravanh, Ta Lou 116015002 Kandieng, Krong Pursat 116015003 Krakor 116015004 Veal Veaeng 116015098 Pursat province, district unknown 116016001 Andoung Meas, Koun Mom, Ou Chum 116016002 Ta Veaeng, Veun Sai 116016003 Krong Ban Lung 116016004 Bar Kaev 116016005 Lumphat 116016006 Ou Ya Dav 116017001 Prasat Bakong, Puok, Krong Siem Reab 116017002 Anlong Veaeng, Chong Kal, Svay Leu, Trapeang Prasat, Varin 116017003 Chi Kraeng 116017004 Soutr Nikom 116017005 Krong Samraong 116017006 Angkor Chum 116017007 Banteay Ampil 116017008 Kralanh 116017009 Banteay Srei 116017010 Srei Snam 116017011 Angkor Thum 116017098 Otdar Meanchey and Siem Reap provinces, district unknown 116019001 Sesan, Siem Pang, Borei O'Svay Sen Chey, Thala Barivat, Krong Stueng Traeng 116019002 Siem Bouk 116020001 Chantrea, Kampong Rou, Svay Chrum, Krong Svay Rieng, Svay Teab, Krong Bavet 116020002 Romeas Haek 116020003 Rumduol 116020098 Svay Rieng province, district unknown 116021001 Tram Kak 116021002 Bati 116021003 Samraong 116021004 Treang 116021005 Prey Kabbas 116021006 Kiri Vong 116021007 Krong Doun Kaev 116021008 Kaoh Andaet 116021009 Angkor Borei 116021010 Borei Cholsar 116021098 Takeo province, district unknown 116023001 Damnak Chang'aeur, Krong Kaeb 116024001 Krong Pailin, Sala Krau 116097097 Abroad 116098098 Unknown 116098099 NIU (not in universe) Migration: A-E Variables -- PERSON Person number (within household) Cambodia 1998: All persons This variable indicates person number within a household. 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Relationship <svar v="KH98A401" a="all"><span class="em">___ 3 Relationship - Relationship to Head of Household (Enter Code from list below)<br /><br />Codes for Column 3 Relationship to Head of Household</span><br /><div class="i1">[] 1 Head <br />[] 2 Wife / Husband <br />[] 3 Son / Daughter<br />[] 4 Father / Mother<br />[] 5 Grand Child <br />[] 6 Other Relative<br />[] 7 Non-relative</div><br /></svar> <svar v="KH98A401" a="all"><span class="em">Column 3: Relationship</span><br /><br />82. Based on the information already collected in Column 3 of Statements 1.1 and 1.2 give code for relationship to head of household, for each person. Codes for relationship are provided on the questionnaire itself below Column 3. Read the relationship and select the proper Code. Note that Code 1 is for head of household. Always head of household will be the first person enumerated in the household. Code 2 should be given to wife of male head of household or to husband of female head of household. Code 3 should be given to son or daughter of head of household. Code 4 should be given to father or mother of head of household. Code 5 should be given to grandson or granddaughter of head of household. All other relatives of head of household should be given Code 6. You should take sufficient care to avoid wrong coding of relationship to head of household. For example, sister's son should not be coded as son (Code 3) because the word son is there. The correct Code in this case is 6. Non-relatives of head of household should be given Code 7.<br /></svar> Cambodia 1998: All persons This variable indicates the relationship to the head of household. 1 Head 2 Wife/husband 3 Son/daughter 4 Father/mother 5 Grand child 6 Other relative 7 Not related Demographic Variables -- PERSON Sex <svar v="KH98A402" a="all"><span class="em">4 Sex (Enter Code)</span><br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="KH98A402" a="all"><span class="em">Column 4: Sex</span><br /><br />83. This column may be filled in by copying the information from Column 4 of Statements 1.1 and 1.2 for the persons concerned.<br /></svar> Cambodia 1998: All persons This variable indicates the gender of the person. 1 Male 2 Female Demographic Variables -- PERSON Age <svar v="KH98A403" a="all"><span class="em">5 Age (Age in completed years)</span><br /><br /><div class="i1">[] 00: Less than 1 year<br />[] 01: 1 year<br />[] 02: 2 years<br />.<br />.<br />[] 97: 97 years<br />[] 98: 98 years and over</div><br /></svar> <svar v="KH98A403" a="all"><span class="em">Column 5: Age</span><br /><br />84. The age of every person must be stated in completed years only, as on March 3, 1998. For those who know their birthdays, the age to be recorded is the age as at last birthday. "Age in completed years only" means that all the ages must be recorded in full years discarding fractions of years and months.<br /><br />84.1 For instance, 15 years 11 months should be written down as 15. Do not write down months. Only years are required. The age of all infants who are less than one year old should be recorded as "00". In this connection you are requested to make sure that infants of the household even if one day or less than one day old as on Census Night are invariably enumerated. It is again pointed out that you should take all precautions to enumerate children (less than age 14) and infants (less than 1 year). Unless you ask probing questions they are likely to be omitted. This is a very important instruction that you should bear in mind always.<br /><br />84.2 What to do when a person does not know his/her age?<br /><br /><div class="i1">For such a person use any of the following methods to estimate his/her age:-</div><br /><div class="i1">(1) You may ask him/her to state the year of birth according to animal calendar. Based on the information furnished and using the conversion table given to you, record the age in completed years.</div><br /><br />(2)<div class="i2">(i) Ask him/her to name any historical event (preferably a local one) which he/she has been told as having occurred around the time of his/her birth. You may be given a list of historical events for this purpose and you may suggest a suitable event from this list also.<br /><br />(ii) Ask him / her to give you an indication of how old he/she was when that historical event occurred.<br /><br />(iii) Then use this information to work out his/her age. For example, if a respondent tells you that he/she was about 20 years old when Cambodia attained Independence, his or her age may be about 20 + 44 (November 9, 1953 to March 3, 1998) = 64 years.</div><br /><div class="i1">(3) Sometimes the age can be ascertained with reference to the age of another person of a known age, who may be living in the same household or in the neighbouring household or that of a well-known person of the village such as the village chief.<br /><br />(4) Only as a last resort you should estimate a person's age from his/her physical features. If you are obtaining information about an absent person from a third person then obviously you have to rely on the information supplied by the third person in estimating the age in respect of the person who is absent. You should not leave this column blank under any circumstances.</div><br /></svar> Cambodia 1998: All persons This variable indicates the person's age in years. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98+ Demographic Variables -- PERSON Marital status <svar v="KH98A404" a="all"><span class="em">6 Marital Status (Marital Status - Enter Code))</span><br /><div class="i1">[] 1 Never Married<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced<br />[] 5 Separated</div><br /></svar> <svar v="KH98A404" a="all"><span class="em">Column 6: Marital Status</span><br /><br />85. Codes are provided in the column heading itself. You have to ask this delicate question carefully and record the appropriate code numbers according to the answers given. Record Code 1 for Never Married, i.e. for those who have never entered into any form of marital union. Record Code 2 for Married, 3 for widowed, 4 for divorced and 5 for separated.<br /><br />86. The category "Married" will include those persons who are contractually married but not yet living as a man and wife. Even if a marriage is disputed in the neighborhood write Code 2 if the person concerned says he or she is married and is in stable de facto union. The category separated will include both legal and de facto separations. Persons who were widowed or divorced but have remarried must be recorded as married.<br /></svar> Cambodia 1998: All persons This variable indicates the marital status of a person. 1 Never married 2 Married 3 Widowed 4 Divorced 5 Separated Demographic Variables -- PERSON Mother tongue <svar v="KH98A405" a="all"><span class="em">7 Mother Tongue</span><br /><div class="i1">[] 1 Khmer<br />[] 2 Vietnamese<br />[] 3 Chinese <br />[] 4 Lao<br />[] 5 Thai <br />[] 6 French<br />[] 7 English<br />[] 8 ___ Other (specify)</div><br /></svar> <svar v="KH98A405" a="all"><span class="em">Column 7: Mother Tongue</span><br /><br />87. Mother tongue of a person is the language spoken in childhood by the person's mother to the person. If the mother died in infancy, the language mainly spoken in the person's home in childhood will be the mother tongue. In case of infants and deaf mutes, the language usually spoken by the mother should be recorded. In case of doubts, the language mainly spoken in the household may be recorded.<br /><br /><div class="i1">87.1 You have to use the following codes for recording answer to this question:-<br /><br /><div class="i2">1. Khmer<br />2. Vietnamese<br />3. Chinese<br />4. Lao<br />5. Thai<br />6. French<br />7. English<br />8. Any other mother tongue which has to be specified</div><br /><br />87.2 Please note in this connection the instructions given below:- You should tell the respondent that the information required here is mother tongue and not any other language spoken. It should also be made clear that this information is required purely for statistical purposes only.<br /><br /><div class="i2">(i) However, you are bound to record the language as returned by the person as his / her mother tongue and you should not enter into any argument with him / her and try to record any language other than what is returned.<br />(ii) If you have reasons to suspect that in your area mother tongue is not being truthfully returned, you should record the mother tongue returned through code and make a report to your supervisor for verification.<br /><br />(iii) It is possible that mother tongue may be different for different persons in a household. It is, therefore, necessary to ask every person about his / her mother tongue.</div></div><br /></svar> Cambodia 1998: All persons This variable indicates the language (mother tongue) mainly spoken in childhood in the household. 1 Khmer 2 Vietnamese 3 Chinese 4 Lao 5 Thai 6 French 7 English 8 Other 9 Not reported Ethnicity and Language Variables -- PERSON Religion <svar v="KH98A406" a="all"><span class="em">8 Religion</span><br /><div class="i1">[] 1 Buddhism<br />[] 2 Islam<br />[] 3 Christianity<br />[] 4 Other (specify)</div><br /></svar> <svar v="KH98A406" a="all"><span class="em">Column 8: Religion</span><br /><br />88. Record the appropriate code number for the religion to which the respondent says he belongs. There is no need to verify this. You must accept whatever answer is given. For those claiming to belong to religions that fall under other categories, record Code 4 and specify the reported religion, e.g. 4 Hindu. For a person who says that he/ she has no religion, write 4 No religion.<br /></svar> Cambodia 1998: All persons This variable indicates the religion of the person. 1 Buddhism 2 Islam 3 Christian 4 Other (and none) 9 Not reported Ethnicity and Language Variables -- PERSON District or country of birth <svar v="KH98A407" a="all"><span class="em">9 ___ Birth Place</span><br /><div class="i1">Place of Birth<br /><div class="i2">[If in this village, enter code 1.<br />If in another village, give name of district of that village and write name of province within brackets.<br />If outside Cambodia, write name of country.]</div></div><br /></svar> <svar v="KH98A407" a="all"><span class="em">Column 9: Birth Place</span><br /><br />89. If a person reports to have been born in this village, record Code 1 in the blank space (not in shaded boxes which are reserved for coding in office). Persons reporting to have been born in this village are those born in the same village in which you are conducting your enumeration. The birth place of a person is the place of usual residence of the person's mother at the time of birth. For example, for a person born in (a) a hospital or maternity home outside the usual place of residence of the mother or (b) mother's village or (c) some other place where the mother had gone for a short visit, the birthplace of this person will be the place in which the mother normally lives and not the place of the hospital, the mother's village or place of visit. If however, the mother's length of stay outside her place of usual residence was one month or more or the mother had the intention of staying in the new place for one month or more the "actual place of physical birth" will be considered as the birthplace of the person in question. For example, suppose Bossadine who normally resides with her husband in Bak Kheng went to Kandal Koh to deliver her child in her mother's house, and returned within 15 days the birthplace of the child will be Bak Kheng and not Kandal Koh.<br /><br /><div class="i1">89.1 If however, Bossadine stays in Kandal Koh for one month or more, then the birthplace of her child will be Kandal Koh and not Bak Kheng.<br /><br />89.2 For those persons reporting to have been born outside the village in which you are conducting your enumeration, record name of the district in which the village of birth falls and also write name of province of that district within brackets. For those born outside Cambodia write name of the country of birth.</div><br /></svar> Cambodia 1998: All persons This variable indicates the place of birth of the person. 001 Same village 101 Mongkol Borei 102 Phnum Srok 103 Preah Netr Preah 104 Ou Chrov 105 Serei Saophoan 106 Thma Puok 107 Svay Chek 108 Malai 109 Banan 110 Bat Dambang 111 Svay Pao 112 Bavel 113 Aek Phnum 114 Moung Ruessei 115 Rotonak Mondol 116 Sangkae 117 Samlout 118 Sampov Lun 119 Phnom Proek 120 Kamrieng 121 Batheay 122 Chamkar Leu 123 Cheung Prey 124 Dambae 125 Kampong Cham 126 Kampong Siem 127 Kang Meas 128 Kaoh Soutin 129 Krouch Chhmar 130 Memot 131 Ou Reang Ov 132 Ponhea Kraek 133 Prey Chhor 134 Srei Santhor 135 Stueng Trang 136 Tboung Khmum 137 Baribour 138 Chol Kiri 139 Kampong Chhnang 140 Kampong Leaeng 141 Kampong Tralach 142 Rolea B'ier 143 Sameakki Mean Chey 144 Tuek Phos 145 Basedth 146 Chbar Mon 147 Kong Pisei 148 Aoral 149 Odongk 150 Phnum Sruoch 151 Samraong Tong 152 Thpong 153 Baray 154 Kampong Svay 155 Stueng Saen 156 Prasat Balangk 157 Prasat Sambour 158 Sandan 159 Santuk 160 Stoung 161 Angkor Chey 162 Banteay Meas 163 Chhuk 164 Chum Kiri 165 Dang Tong 166 Kampong Trach 167 Kampot 168 Kampong Bay 169 Kandal Stueng 170 Kien Svay 171 Khsach Kandal 172 Kaoh Thum 173 Leuk Daek 174 Lvea Aem 175 Mukh Kampul 176 Angk Snuol 177 Ponhea Lueu 178 S'ang 179 Ta Khmau 180 Botum Sakor 181 Kiri Sakor 182 Kaoh Kong 183 Smach Mean Chey 184 Mondol Seima 185 Srae Ambel 186 Thma Bang 187 Chhloung 188 Kracheh 189 Preaek Prasab 190 Sambour 191 Snuol 192 Kaev Seima 193 Kaoh Nheaek 194 Ou Reang 195 Pech Chenda 196 Saen Monourom 197 Chamkar Mon 198 Doun Penh 199 Prampir Meakkakra 200 Tuol Kouk 201 Dangkao 202 Mean Chey 203 Russei Kaev 204 Chey Saen 205 Chhaeb 206 Choam Khsant 207 Kuleaen 208 Rovieng 209 Sangkom Thmei 210 Tbaeng Mean Chey 211 Ba Phnum 212 Kamchay Mear 213 Kampong Trabaek 214 Kanhchriech 215 Me Sang 216 Peam Chor 217 Peam Ro 218 Pea Reang 219 Preah Sdach 220 Prey Veaeng 221 Kampong Leav 222 Sithor Kandal 223 Bakan 224 Kandieng 225 Krakor 226 Phnum Kravanh 227 Sampov Meas 229 Andoung Meas 230 Ban Lung 231 Bar Kaev 232 Koun Mom 233 Lumphat 234 Ou Chum 235 Ou Ya Dav 236 Ta Veaeng 237 Veun Sai 238 Angkor Chum 239 Angkor Thum 240 Banteay Srei 241 Chi Kraeng 242 Kralanh 243 Puok 244 Prasat Bakong 245 Siem Reab 246 Soutr Nikom 247 Srei Snam 248 Svay Leu 249 Varin 250 Mittakpheap 251 Prey Nob 252 Stueng Hav 253 Sesan 254 Siem Bouk 255 Siem Pang 256 Stueng Traeng 257 Thala Barivat 258 Chantrea 259 Kampong Rou 260 Rumduol 261 Romeas Haek 262 Svay Chrum 263 Svay Rieng 264 Svay Teab 265 Angkor Borei 266 Bati 267 Borei Cholsar 268 Kiri Vong 269 Kaoh Andaet 270 Prey Kabbas 271 Samraong 272 Doun Kaev 273 Tram Kak 274 Treang 275 Anlong Veaeng 276 Banteay Ampil 277 Chong Kal 278 Samraong 280 Kaeb 281 Pailin 301 China 302 Hong Kong 304 Indonesia 305 Japan 308 Laos 309 Malaysia 313 Phiippines 316 Thailand 317 Vietnam 399 Other Asia 401 Australia 501 Belgium 599 Other Europe 601 USA 900 Other country 998 Response suppressed 999 Not reported Nativity and Birthplace Variables -- PERSON District or country of previous residence <svar v="KH98A408" a="all"><span class="em">10 Previous Residence</span><br /><div class="i1">Where have you been living before?<br /><div class="i2">If always lived in this village, enter code 1 and skip to 13.<br />If in another village, give name of district of that village and write name of province within brackets.<br />If outside Cambodia, write name of Country.</div></div><br /></svar> <svar v="KH98A408" a="all"><span class="em">Column 10: Previous Residence</span><br /><br />90. In the blank space (not shaded boxes), record 1 if the respondent lived in the village where enumeration is being conducted continuously since birth (except for shifting to another place outside the village of enumeration for purely temporary stay) and skip to Column 13. If a person was usually residing in another village immediately before he/she came to the present village where he/she is enumerated, the earlier village is the person's previous residence. If the person had lived earlier in more than one village, the immediate previous residence of the person is what we are interested in. For example, a person enumerated in village A had lived earlier in village B and before that in village C, his/her previous residence is village B and not village C. Write name of district of previous residence and also write name of province of that district within brackets. If respondent is reported to have resided outside Cambodia, write the name of the country. It is important to note that even if a person was born at the place of enumeration but had shifted subsequently to another village for work or for studies and had come back again to place of enumeration, he/she should be considered as having had another place of residence prior to his/her enumeration here.<br /></svar> Cambodia 1998: Persons who have ever lived in another village [discrepancies: type I: 47%; type II: none] This variable indicates the previous district or country of residence. 101 Mongkol Borei 102 Phnum Srok 103 Preah Netr Preah 104 Ou Chrov 105 Serei Saophoan 106 Thma Puok 107 Svay Chek 108 Malai 109 Banan 110 Bat Dambang 111 Svay Pao 112 Bavel 113 Aek Phnum 114 Moung Ruessei 115 Rotonak Mondol 116 Sangkae 117 Samlout 118 Sampov Lun 119 Phnom Proek 120 Kamrieng 121 Batheay 122 Chamkar Leu 123 Cheung Prey 124 Dambae 125 Kampong Cham 126 Kampong Siem 127 Kang Meas 128 Kaoh Soutin 129 Krouch Chhmar 130 Memot 131 Ou Reang Ov 132 Ponhea Kraek 133 Prey Chhor 134 Srei Santhor 135 Stueng Trang 136 Tboung Khmum 137 Baribour 138 Chol Kiri 139 Kampong Chhnang 140 Kampong Leaeng 141 Kampong Tralach 142 Rolea B'ier 143 Sameakki Mean Chey 144 Tuek Phos 145 Basedth 146 Chbar Mon 147 Kong Pisei 148 Aoral 149 Odongk 150 Phnum Sruoch 151 Samraong Tong 152 Thpong 153 Baray 154 Kampong Svay 155 Stueng Saen 156 Prasat Balangk 157 Prasat Sambour 158 Sandan 159 Santuk 160 Stoung 161 Angkor Chey 162 Banteay Meas 163 Chhuk 164 Chum Kiri 165 Dang Tong 166 Kampong Trach 167 Kampot 168 Kampong Bay 169 Kandal Stueng 170 Kien Svay 171 Khsach Kandal 172 Kaoh Thum 173 Leuk Daek 174 Lvea Aem 175 Mukh Kampul 176 Angk Snuol 177 Ponhea Lueu 178 S'ang 179 Ta Khmau 180 Botum Sakor 181 Kiri Sakor 182 Kaoh Kong 183 Smach Mean Chey 184 Mondol Seima 185 Srae Ambel 186 Thma Bang 187 Chhloung 188 Kracheh 189 Preaek Prasab 190 Sambour 191 Snuol 192 Kaev Seima 193 Kaoh Nheaek 194 Ou Reang 195 Pech Chenda 196 Saen Monourom 197 Chamkar Mon 198 Doun Penh 199 Prampir Meakkakra 200 Tuol Kouk 201 Dangkao 202 Mean Chey 203 Russei Kaev 204 Chey Saen 205 Chhaeb 206 Choam Khsant 207 Kuleaen 208 Rovieng 209 Sangkom Thmei 210 Tbaeng Mean Chey 211 Ba Phnum 212 Kamchay Mear 213 Kampong Trabaek 214 Kanhchriech 215 Me Sang 216 Peam Chor 217 Peam Ro 218 Pea Reang 219 Preah Sdach 220 Prey Veaeng 221 Kampong Leav 222 Sithor Kandal 223 Bakan 224 Kandieng 225 Krakor 226 Phnum Kravanh 227 Sampov Meas 228 Veal Veaeng 229 Andoung Meas 230 Ban Lung 231 Bar Kaev 232 Koun Mom 233 Lumphat 234 Ou Chum 235 Ou Ya Dav 236 Ta Veaeng 237 Veun Sai 238 Angkor Chum 239 Angkor Thum 240 Banteay Srei 241 Chi Kraeng 242 Kralanh 243 Puok 244 Prasat Bakong 245 Siem Reab 246 Soutr Nikom 247 Srei Snam 248 Svay Leu 249 Varin 250 Mittakpheap 251 Prey Nob 252 Stueng Hav 253 Sesan 254 Siem Bouk 255 Siem Pang 256 Stueng Traeng 257 Thala Barivat 258 Chantrea 259 Kampong Rou 260 Rumduol 261 Romeas Haek 262 Svay Chrum 263 Svay Rieng 264 Svay Teab 265 Angkor Borei 266 Bati 267 Borei Cholsar 268 Kiri Vong 269 Kaoh Andaet 270 Prey Kabbas 271 Samraong 272 Doun Kaev 273 Tram Kak 274 Treang 275 Anlong Veaeng 276 Banteay Ampil 277 Chong Kal 278 Samraong 279 Damnak Chang'aeur 280 Kaeb 281 Pailin 301 China 302 Hong Kong 304 Indonesia 305 Japan 308 Laos 309 Malaysia 313 Phiippines 316 Thailand 317 Vietnam 399 Other Asia 401 Australia 501 Belgium 599 Other Europe 601 USA 900 Other country 998 Response suppressed 999 NIU (not in universe) Migration: Global Variables -- PERSON District or country of previous residence (consistent codes) <svar v="KH98A408" a="all"><span class="em">10 Previous Residence</span><br /><div class="i1">Where have you been living before?<br /><div class="i2">If always lived in this village, enter code 1 and skip to 13.<br />If in another village, give name of district of that village and write name of province within brackets.<br />If outside Cambodia, write name of Country.</div></div><br /></svar> <svar v="KH98A408" a="all"><span class="em">Column 10: Previous Residence</span><br /><br />90. In the blank space (not shaded boxes), record 1 if the respondent lived in the village where enumeration is being conducted continuously since birth (except for shifting to another place outside the village of enumeration for purely temporary stay) and skip to Column 13. If a person was usually residing in another village immediately before he/she came to the present village where he/she is enumerated, the earlier village is the person's previous residence. If the person had lived earlier in more than one village, the immediate previous residence of the person is what we are interested in. For example, a person enumerated in village A had lived earlier in village B and before that in village C, his/her previous residence is village B and not village C. Write name of district of previous residence and also write name of province of that district within brackets. If respondent is reported to have resided outside Cambodia, write the name of the country. It is important to note that even if a person was born at the place of enumeration but had shifted subsequently to another village for work or for studies and had come back again to place of enumeration, he/she should be considered as having had another place of residence prior to his/her enumeration here.<br /></svar> Cambodia 1998: Persons who have ever lived in another village This variable indicates the previous district or country of residence. 0102 Mongkol Borei 0103 Phnum Srok 0104 Preah Netr Preah 0105 Ou Chrov 0106 Serei Saophoan 0107 Thma Puok 0108 Svay Chek 0109 Malai 0201 Banan 0202 Bat Dambang 0203 Svay Pao 0204 Bavel 0205 Aek Phnum 0206 Moung Ruessei 0207 Rotonak Mondol 0208 Sangkae 0209 Samlout 0210 Sampov Lun 0211 Phnom Proek 0212 Kamrieng 0301 Batheay 0302 Chamkar Leu 0303 Cheung Prey 0304 Dambae 0305 Kampong Cham 0306 Kampong Siem 0307 Kang Meas 0308 Kaoh Soutin 0309 Krouch Chhmar 0310 Memot 0311 Ou Reang Ov 0312 Ponhea Kraek 0313 Prey Chhor 0314 Srei Santhor 0315 Stueng Trang 0316 Tboung Khmum 0401 Baribour 0402 Chol Kiri 0403 Kampong Chhnang 0404 Kampong Leaeng 0405 Kampong Tralach 0406 Rolea B'ier 0407 Sameakki Mean Chey 0408 Tuek Phos 0501 Basedth 0502 Chbar Mon 0503 Kong Pisei 0504 Aoral 0505 Odongk 0506 Phnum Sruoch 0507 Samraong Tong 0508 Thpong 0601 Baray 0602 Kampong Svay 0603 Stueng Saen 0604 Prasat Balangk 0605 Prasat Sambour 0606 Sandan 0607 Santuk 0608 Stoung 0701 Angkor Chey 0702 Banteay Meas 0703 Chhuk 0704 Chum Kiri 0705 Dang Tong 0706 Kampong Trach 0707 Kampot 0708 Kampong Bay 0801 Kandal Stueng 0802 Kien Svay 0803 Khsach Kandal 0804 Kaoh Thum 0805 Leuk Daek 0806 Lvea Aem 0807 Mukh Kampul 0808 Angk Snuol 0809 Ponhea Lueu 0810 S'ang 0811 Ta Khmau 0901 Botum Sakor 0902 Kiri Sakor 0903 Kaoh Kong 0904 Smach Mean Chey 0905 Mondol Seima 0906 Srae Ambel 0907 Thma Bang 1001 Chhloung 1002 Kracheh 1003 Preaek Prasab 1004 Sambour 1005 Snuol 1101 Kaev Seima 1102 Kaoh Nheaek 1103 Ou Reang 1104 Pech Chenda 1105 Saen Monourom 1201 Chamkar Mon 1202 Doun Penh 1203 Prampir Meakkakra 1204 Tuol Kouk 1205 Dangkao 1206 Mean Chey 1207 Russei Kaev 1301 Chey Saen 1302 Chhaeb 1303 Choam Khsant 1304 Kuleaen 1305 Rovieng 1306 Sangkom Thmei 1307 Tbaeng Mean Chey 1401 Ba Phnum 1402 Kamchay Mear 1403 Kampong Trabaek 1404 Kanhchriech 1405 Me Sang 1406 Peam Chor 1407 Peam Ro 1408 Pea Reang 1409 Preah Sdach 1410 Prey Veaeng 1411 Kampong Leav 1412 Sithor Kandal 1501 Bakan 1502 Kandieng 1503 Krakor 1504 Phnum Kravanh 1505 Sampov Meas 1506 Veal Veaeng 1601 Andoung Meas 1602 Ban Lung 1603 Bar Kaev 1604 Koun Mom 1605 Lumphat 1606 Ou Chum 1607 Ou Ya Dav 1608 Ta Veaeng 1609 Veun Sai 1701 Angkor Chum 1702 Angkor Thum 1703 Banteay Srei 1704 Chi Kraeng 1706 Kralanh 1707 Puok 1709 Prasat Bakong 1710 Siem Reab 1711 Soutr Nikom 1712 Srei Snam 1713 Svay Leu 1714 Varin 1801 Mittakpheap 1802 Prey Nob 1803 Stueng Hav 1901 Sesan 1902 Siem Bouk 1903 Siem Pang 1904 Stueng Traeng 1905 Thala Barivat 2001 Chantrea 2002 Kampong Rou 2003 Rumduol 2004 Romeas Haek 2005 Svay Chrum 2006 Svay Rieng 2007 Svay Teab 2101 Angkor Borei 2102 Bati 2103 Borei Cholsar 2104 Kiri Vong 2105 Kaoh Andaet 2106 Prey Kabbas 2107 Samraong 2108 Doun Kaev 2109 Tram Kak 2110 Treang 2201 Anlong Veaeng 2202 Banteay Ampil 2203 Chong Kal 2204 Samraong 2301 Damnak Chang'aeur 2302 Kaeb 2401 Pailin 3001 China 3002 Hong Kong 3004 Indonesia 3005 Japan 3008 Laos 3009 Malaysia 3013 Phiippines 3016 Thailand 3017 Vietnam 3099 Other Asia 4001 Australia 5001 Belgium 5099 Other Europe 6001 USA 9000 Other country 9998 Response suppressed 9999 NIU (not in universe) Migration: Global Variables -- PERSON Province or country of previous residence <svar v="KH98A408" a="all"><span class="em">10 Previous Residence</span><br /><div class="i1">Where have you been living before?<br /><div class="i2">If always lived in this village, enter code 1 and skip to 13.<br />If in another village, give name of district of that village and write name of province within brackets.<br />If outside Cambodia, write name of Country.</div></div><br /></svar> <svar v="KH98A408" a="all"><span class="em">Column 10: Previous Residence</span><br /><br />90. In the blank space (not shaded boxes), record 1 if the respondent lived in the village where enumeration is being conducted continuously since birth (except for shifting to another place outside the village of enumeration for purely temporary stay) and skip to Column 13. If a person was usually residing in another village immediately before he/she came to the present village where he/she is enumerated, the earlier village is the person's previous residence. If the person had lived earlier in more than one village, the immediate previous residence of the person is what we are interested in. For example, a person enumerated in village A had lived earlier in village B and before that in village C, his/her previous residence is village B and not village C. Write name of district of previous residence and also write name of province of that district within brackets. If respondent is reported to have resided outside Cambodia, write the name of the country. It is important to note that even if a person was born at the place of enumeration but had shifted subsequently to another village for work or for studies and had come back again to place of enumeration, he/she should be considered as having had another place of residence prior to his/her enumeration here.<br /></svar> Cambodia 1998: Persons who have ever lived in another village This variable indicates the previous province or country of residence. 001 Banteay Mean Chey 002 Bat Dambang 003 Kampong Cham 004 Kampong Chhnang 005 Kampong Spueu 006 Kampong Thum 007 Kampot 008 Kandal 009 Kaoh Kong 010 Kracheh 011 Mondol Kiri 012 Phnom Penh 013 Preah Vihear 014 Prey Veaeng 015 Pousat 016 Rotanak Kiri 017 Siem Reab 018 Krong Preah Sihanouk 019 Stueng Traeng 020 Svay Rieng 021 Takaev 022 Otdar Mean Chey 023 Krong Kaeb 024 Krong Pailin 301 China 302 Hong Kong 304 Indonesia 305 Japan 308 Laos 309 Malaysia 313 Phiippines 316 Thailand 317 Vietnam 399 Other Asia 401 Australia 501 Belgium 599 Other Europe 601 USA 900 Other country 998 Response suppressed 999 NIU (not in universe) Migration: Global Variables -- PERSON Duration of stay in current village <svar v="KH98A408" a="all"><span class="em">10 Previous Residence</span><br /><div class="i1">Where have you been living before?<br /><div class="i2">If always lived in this village, enter code 1 and skip to 13.<br />If in another village, give name of district of that village and write name of province within brackets.<br />If outside Cambodia, write name of Country.</div></div><br /></svar></p> <p><svar v="KH98A409" a="all"><span class="em">11 Duration of Stay</span><br /><div class="i1">How long have you lived in this village? (Enter Code from list below)<br /><div class="i2">Codes for Column 11 Duration of Stay<br /><br />00 Less than 1 year<br />01 1 to less than 2 years<br />02 2 to less than 3 years<br />.<br />.<br />10 10 to less than 11 years<br />.<br />20 20 to less than 21 years<br />.<br />97 97 to less than 98 years<br />98 98 years and over.</div></div><br /></svar> <svar v="KH98A409" a="all"><span class="em">Column 11: Duration of Stay</span><br /><br />91. The question on duration of stay refers to duration of stay in village of enumeration since coming from last previous residence. This question "how long have you lived in this village?" is to be administered only if answer in Column 10 is that the place of last residence was another village in Cambodia or in a country outside Cambodia. In other words, the answer in Column 10 is not Code 1. Duration of stay should be recorded in Column 11 using the codes for column 11 given on the questionnaire itself. If answer in Column 10 is Code 1, put a dash (--) in Column 11.<br /><br /><div class="i1">91.1 If a person is reported to have resided in a village (since coming from last previous residence) for less than 1 year, record 00; if from 1 year to less than 2 years, record 01; if from 2 years to less than 3 years record 02 and so on. For 98 years and over, record 98 only.</div><br /></svar> Cambodia 1998: Persons born in a different village [discrepancies: type I: 47%; type II: none] This variable indicates the duration of stay in the district of enumeration since coming from previous residence. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70+ 98 Not reported 99 NIU (not in universe) Migration: Global Variables -- PERSON Reason for migration <svar v="KH98A408" a="all"><span class="em">10 Previous Residence</span><br /><div class="i1">Where have you been living before?<br /><div class="i2">If always lived in this village, enter code 1 and skip to 13.<br />If in another village, give name of district of that village and write name of province within brackets.<br />If outside Cambodia, write name of Country.</div></div><br /></svar></p> <p><svar v="KH98A410" a="all"><span class="em">12 Reason for Migration</span><br /><div class="i1">Give reason for change of residence, if present residence is different from previous residence. (Enter Code from list below)<br /><div class="i2">Codes for Column 12 Reason for Migration<br /><br />1 Transfer of work place <br />2 In search of employment <br />3 Education<br />4 Marriage <br />5 Family moved <br />6 Natural calamities or insecurity<br />7 Repatriation or return after displacement<br />8 Visiting only<br />9 ___ Other (specify)</div></div><br /></svar> <svar v="KH98A410" a="all"><span class="em">Column 12: Reason for Migration</span><br /><br />92. "Migration", means moving to the place where you are enumerating from another village (or another country) which was the last previous residence. For persons to whom you have given code other than 1 in Column 10 and for whom you have entered duration of stay code in column 11, you have to record reason for migration by giving one of the codes applicable to the person concerned from the list of codes for Column 12 given below the column. For a person to whom you have given Code 1 in Column 10, put a dash (--) in Column 12. The reasons given are simple and easily understandable. Code 5 (Family Moved) needs an explanation. If a member of a family had to move to the place of enumeration from a previous residence because the entire family moved, this code has to be given. For example, if Ratha migrated because his place of work is transferred give Code 1 for him. For his wife and children who had to also move with him the reason for migration is family moved (5) and not Transfer of work place (1). However, if his wife or son or daughter gives a separate reason for moving to this place like "in search of employment" or "education" you have to assign the appropriate code to him/her. Give Code 7 (Repatriation or Return after displacement) to a person who was repatriated by an official agency or to a person who returned to his/her village after having left earlier due to internal disturbances or political reasons. For any reason of migration other than the first eight listed, give 9 and write down the reason in the column itself. Please note that Code 9 should be given only if the reason for migration is not covered by any of the codes 1 to 8. For instance, if a person had been repatriated, you must give Code 7 in his/her case and not write "9 (repatriated)".<br /></svar> Cambodia 1998: Persons born in a place different from their village of residence [discrepancies: type I: 47%; type II: none] This variable indicates the reason for change of residence or migration. 01 Transfer work 02 Search work 03 Education 04 Marriage 05 Family move 06 Calamities 07 Repatriation 08 Visiting 09 Other 98 Not reported 99 NIU (not in universe) Migration: Global Variables -- PERSON Literacy <svar v="KH98A411" a="all"><span class="em">13 Literacy (Enter Code)</span><br /><div class="i1">Can you read and write with understanding in any language?<br /><div class="i2">[] 1 Yes<br />[] 2 No</div></div><br /></svar> <svar v="KH98A411" a="all"><span class="em">Column 13: Literacy</span><br /><br />93. Literacy is the ability to read and write with understanding in any language. A person is a literate when he/she can both read and write a simple message in any language or dialect. A person who cannot both read and write a simple message is considered illiterate. Also to be considered as illiterate is that person who is capable of reading only his/her own name or numbers, as well as persons who can read but not write, or vice versa.<br /><br /><div class="i1">93.1 A person who knows how to read and write but at the time of the census he/she can no longer read and write due to some physical defects or illness is still considered literate. An example of this is an aged person who knows how to read and write but can no longer perform these activities due to poor eyesight.<br /><br />93.2 Disabled persons who can read and write through any means such as Braille system for the blind, are considered literate.<br /><br />93.3 Enter 1 for those persons who answer ' Yes ' to this question and 2, for those persons who answer ' No '. All children of the age of 6 years or less should be treated as illiterate even if the child is going to a school and may have picked up reading and writing a few odd words.</div><br /></svar> Cambodia 1998: All persons This variable indicates the status of literacy or ability to read and write with understanding in any language. 1 Literate 2 Illiterate 9 Not reported Education Variables -- PERSON School attendance <svar v="KH98A412 KH98A413" a="all"><span class="em">14 Full-Time Education</span><br /><div class="i1">( a ) Have you ever attended School/ Educational Institution? (Enter Code)<br /><div class="i2">1 Never<br />2 Now<br />3 Past</div></div><br /><div class="i1">( b ) What is the highest grade completed? (Enter Code from list below)<br /><div class="i2">Codes for Column 14 (b) What is the highest grade completed?<br /><br />For Never in 14 (a) put dash ( - )<br />For Now or Past in 14 (a), Code as follows:-<br />00 No class completed<br />01 Class 1 completed<br />02 Class 2 completed<br />.<br />.<br />11 Class 11 completed<br />12 Class 12 completed<br />13 Secondary School / Certificate / Diploma<br />14 Undergraduate<br />15 Graduate / Degree holder<br />16 Postgraduate<br />17 ___ Other (specify)</div></div><br /></svar> <svar v="KH98A412 KH98A413" a="all"><span class="em">Column 14: Full Time Education</span><br /><br />94. Full-time education refers to education in an educational institution like Primary School, Secondary School, College etc.<br /><br /><span class="em">Column 14 (a): Have you ever attended School / Educational Institution?</span><br /><br />95. This applies to both literates and illiterates. The answer to this question may be recorded as follows:-<br /><br /><div class="i1">(a) Never:- Record 1 if the person has never at any time received full-time education.<br />(b) Now:- Record 2 if the person is still receiving full-time education at the time of the Census.<br />(c) Past:- Record 3 if the person received full-time education in the past and is no longer receiving it.</div><br /><br />Note that it is possible that a person who is literate (Code 1 in Column 13), had never attended any school at all (e.g. he might have learnt to read and write in a pagoda) and may, therefore, be given Code 1 in Column 14(a).<br /><br /><span class="em">Column 14 (b): What is the Highest Grade Completed?</span><br /><br />96. Enter dash (--) in the two sub Columns in the case of a person who has never attended school/educational institution (Code 1 in Column 14(a)). Categories of educational levels have been provided for recording the highest grade completed in the school, college or any other educational institution attended by the respondents. A last category "other (specify)" (Code 17) has been included to cater for other educational categories not mentioned. In general, you may check whether the educational level of a person is consistent with his/her age. For example, a boy or girl of age 8 could not have completed class 11. If any such inconsistency is noted, please make probing questions and ascertain the correct answer.<br /></svar> Cambodia 1998: All persons This variable indicates whether the person has ever attended school/educational institution. 1 Never 2 Now 3 Past Education Variables -- PERSON Grade or level of education <svar v="KH98A412 KH98A413" a="all"><span class="em">14 Full-Time Education</span><br /><div class="i1">( a ) Have you ever attended School/ Educational Institution? (Enter Code)<br /><div class="i2">1 Never<br />2 Now<br />3 Past</div></div><br /><div class="i1">( b ) What is the highest grade completed? (Enter Code from list below)<br /><div class="i2">Codes for Column 14 (b) What is the highest grade completed?<br /><br />For Never in 14 (a) put dash ( - )<br />For Now or Past in 14 (a), Code as follows:-<br />00 No class completed<br />01 Class 1 completed<br />02 Class 2 completed<br />.<br />.<br />11 Class 11 completed<br />12 Class 12 completed<br />13 Secondary School / Certificate / Diploma<br />14 Undergraduate<br />15 Graduate / Degree holder<br />16 Postgraduate<br />17 ___ Other (specify)</div></div><br /></svar> <svar v="KH98A412 KH98A413" a="all"><span class="em">Column 14: Full Time Education</span><br /><br />94. Full-time education refers to education in an educational institution like Primary School, Secondary School, College etc.<br /><br /><span class="em">Column 14 (a): Have you ever attended School / Educational Institution?</span><br /><br />95. This applies to both literates and illiterates. The answer to this question may be recorded as follows:-<br /><br /><div class="i1">(a) Never:- Record 1 if the person has never at any time received full-time education.<br />(b) Now:- Record 2 if the person is still receiving full-time education at the time of the Census.<br />(c) Past:- Record 3 if the person received full-time education in the past and is no longer receiving it.</div><br /><br />Note that it is possible that a person who is literate (Code 1 in Column 13), had never attended any school at all (e.g. he might have learnt to read and write in a pagoda) and may, therefore, be given Code 1 in Column 14(a).<br /><br /><span class="em">Column 14 (b): What is the Highest Grade Completed?</span><br /><br />96. Enter dash (--) in the two sub Columns in the case of a person who has never attended school/educational institution (Code 1 in Column 14(a)). Categories of educational levels have been provided for recording the highest grade completed in the school, college or any other educational institution attended by the respondents. A last category "other (specify)" (Code 17) has been included to cater for other educational categories not mentioned. In general, you may check whether the educational level of a person is consistent with his/her age. For example, a boy or girl of age 8 could not have completed class 11. If any such inconsistency is noted, please make probing questions and ascertain the correct answer.<br /></svar> Cambodia 1998: Persons who have ever attended school [discrepancies: none] This variable indicates the highest grade of education completed. 00 No class 01 Class 1 02 Class 2 03 Class 3 04 Class 4 05 Class 5 06 Class 6 07 Class 7 08 Class 8 09 Class 9 10 Class 10 11 Class 11 12 Class 12 13 Secondary school 14 Undergraduate 15 Graduate 16 Post graduate 17 Other 98 Not reported 99 NIU (not in universe) Education Variables -- PERSON Economic activity <svar v="KH98A414" a="all"><span class="em">15 Main Activity (Enter Code from list below)</span><br /><div class="i1"><div class="i2"><span class="em">Main activity during last year</span><br /><br />Codes for Column 15 Main Activity During Last Year<br />1 Employed (Fill in Cols. 16 to 20)<br />2 Unemployed (Employed any time before - Fill in Cols. 16 to 20 for last employment)<br />3 Unemployed (Never employed any time before)<br /><span class="em">Inactive</span><br />4 Homemaker<br />5 Student <br />6 Dependent<br />7 Rent-receiver, retired or other income recipient<br />8 ___ Other (Specify) <br /> (For codes 3 to 8, put dash ( - ) in Cols. 16 to 20)]</div></div><br /></svar> <svar v="KH98A414 KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 15 to 20 on Economic Characteristics of Population</span><br /><br />97. These columns relate to the economic characteristics of population both male and female. Information proposed to be collected on economic characteristics of population includes information on economically active and economically not active population. Economically active population includes those who are employed and unemployed. Economically inactive population includes home makers; full time students; dependents; rent-receivers, retired people and other categories of income recipients; and others who are neither employed nor unemployed and also do not come under any of the inactive categories mentioned. The reference period for this is the last one year.<br /></svar></p> <p><svar v="KH98A414" a="all"><span class="em">Column 15: Main Activity During Last Year.</span><br /><br />98. First we want to know what has been the main activity of the person during the one year preceding the Census Night. Main Activity means the activity during 6 months (183 days) or more during the last one year (i.e. for the major part of the last year). Codes have been provided on the schedule itself which are to be used while answering this question.<br /><br /><div class="i1"><span class="em">Employed</span><br /><br />98.1 The "employed" comprises all persons who were in the following categories for 6 months (183 days) or more during the last one year:-<br /><br />(<div class="i2">a) Persons who were in paid employment (e.g. working in public or private organization etc.).<br />(b) Persons who during the reference period performed some work for wages, salary, profit or family gains in cash or kind.<br />(c) Persons who did not do any work for pay or profit during the reference period although they had a job to which they could return (e.g. off season workers like farmers or fishermen), those on sick leave or leave without pay, those who could not work due to strike or lockout in the organization they were working.<br />(d) Persons who were self employed (e.g. running a shop by himself or herself, selling eatables, practicing as doctors, lawyers etc.).</div><br /><br />98.2 Work is defined as any economically productive activity that a person does for pay (in cash or kind, in any establishment, office, market, farm, private house) or for profit; or without pay on family farm or enterprise. Workers (other than those working without pay in a family farm or business) should receive pay or profit in cash or kind for their activity. Unpaid activities which are not contributing to the person's family business such as voluntary social work or voluntary community support are not classified as "work" for the purposes of this census. Work may be physical or mental in nature. Work involves not only actual work but also effective supervision and direction of work. It is important to note that it includes unpaid work on farm or family enterprise. You must ask probing questions to ascertain the existence of a job or employment or unpaid work on family farm or enterprise during the last year. Please also do not assume that women are generally home-makers. You have to specifically ask probing questions of women whether they were working. Please also remember that in rural areas where most men are engaged in cultivation, wives and daughters also participate as unpaid family workers in cultivation. Such women should be treated as working instead of treating them as home-makers or housewives since they attend to domestic duty also. You have to be very careful not to make this mistake. Similarly children who work should be regarded as employed.<br /><br />98.3 What about men or women engaged in production of goods for own consumption?<br /><br />Please note that the following activities for own consumption are treated as work:<br /><br /><div class="i2">(i) Production of primary products for own consumption as growing of food grains or vegetables for own consumption.<br />(ii) Collection of water and firewood for own consumption.<br />(iii) The processing of primary commodities for own consumption by the producers of these items (such as drying own vegetables for later use).<br />(iv) Production of fixed assets for own use (such as building a house or rice paddy dike).</div><br /><br />98.4 Activities for own consumption other than the above are not treated as work (e.g. cooking one's own food, washing one's own clothes etc.). If a person is employed but at the same time does also attend to household chores or attend school etc., he/she should be treated basically as employed.<br /><br />98.5 If you give code 1 for a person after following the above instructions, you have to fill in Columns 16 to 20 which will be described subsequently.<br /><br /><span class="em">Unemployed</span><br /><br />98.6 If a person (man or woman) is not employed you should ask whether he or she was unemployed for six months (or 183 days) or over during the last year. Unemployed refers to those who were without work but were seeking work or available for work.<br /><br />98.7 Please note that homemakers, students and others mainly engaged in non-economic activities during the reference period who satisfy the above criteria of unemployment should be regarded as unemployed and not as home makers, students etc., If a person returns that he / she is unemployed for the major part of the last year according these criteria, you should ask whether the person was employed any time before he / she became unemployed. If he / she says Yes, you have to record Code 2 for the person in Column 15. On the other hand, if the person says that he / she was unemployed and seeking work for the first time and was never employed any time before you should record Code 3 in Column 15. In the case of unemployed who was employed any time before (Code 2 in Column 15), you have to fill in Columns 16-20 for last employment. In case of Code 3 in Column 15, enter dash (--) in each of the Columns 16 to 20.<br /><br /><span class="em">Inactive Population</span><br /><br />98.8 The employed and unemployed constitute economically active population. Those who are not employed or unemployed spend most of their time as home makers, students etc. which are not considered as economically active and hence they are called Inactive population. Use the codes given in the schedule for recording the category of people inactive for six months (or 183 days) or more during the last year.<br /><br />98.9 The inactive categories are explained below:-<br /><br />Home Maker is a person who was solely engaged during the reference period in household duties in his or her home. Give code 4 for this category in Column 15.<br /><br />Student is a person who was attending school/ educational institution(with Code 2 in Column 14a). Give Code 5 for this category in Column 15.<br /><br />Dependent: This category includes all dependents like infants and children not attending school, persons permanently disabled and hence cannot do any work and persons who cannot work because of illness or old age. Dependents will include able bodied persons who cannot be categorized in any other inactive category and are dependent on others. However if such a person was seeking or available for work he or she should be categorized as unemployed and not as dependent. For people who were dependents give Code 6 in Column 15.<br /><br />Rent-receiver, retired or other income recipients: A person who has retired from service and is doing no other work, i.e. not employed again in some work or not engaged in some other work such as cultivation, business, trade etc. or a person who is a rent-receiver or a person living on agricultural or non-agricultural royalty, rent or dividend who is neither employed nor unemployed, or any other person of independent means for securing which he/she does not have to work will come under this category. You should give Code 7 in Column 15 for this category of inactive person.<br /><br />Other, (specify): This category will include all inactive persons who may not come under any of the above four categories of inactive persons. For such a person (e.g. beggar) you should give Code 8 and specify<br />(e.g. 8 Beggar) in column 15.</div><br /></svar> Cambodia 1998: All persons This variable indicates the main activity during last year. 1 Employed 2 Unemployed 3 Never employed 4 Home maker 5 Student 6 Dependent 7 Income recipient 8 Other Work Variables -- PERSON Number of months employed <svar v="KH98A414" a="all"><span class="em">15 Main Activity (Enter Code from list below)</span><br /><div class="i1"><div class="i2"><span class="em">Main activity during last year</span><br /><br />Codes for Column 15 Main Activity During Last Year<br />1 Employed (Fill in Cols. 16 to 20)<br />2 Unemployed (Employed any time before - Fill in Cols. 16 to 20 for last employment)<br />3 Unemployed (Never employed any time before)<br /><span class="em">Inactive</span><br />4 Homemaker<br />5 Student <br />6 Dependent<br />7 Rent-receiver, retired or other income recipient<br />8 ___ Other (Specify) <br /> (For codes 3 to 8, put dash ( - ) in Cols. 16 to 20)]</div></div><br /></svar></p> <p><svar v="KH98A415" a="all"><span class="em">___ 16 Employment Period (No. of months employed in the last 12 months)</span><br /></svar> <svar v="KH98A414 KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 15 to 20 on Economic Characteristics of Population</span><br /><br />97. These columns relate to the economic characteristics of population both male and female. Information proposed to be collected on economic characteristics of population includes information on economically active and economically not active population. Economically active population includes those who are employed and unemployed. Economically inactive population includes home makers; full time students; dependents; rent-receivers, retired people and other categories of income recipients; and others who are neither employed nor unemployed and also do not come under any of the inactive categories mentioned. The reference period for this is the last one year.<br /></svar></p> <p><svar v="KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 16 to 20</span><br /><br />99. Information in these Columns should be filled-in only for a person who is employed (Code 1 in Column 15) or unemployed (employed before) i.e. Code 2 in Column 15. For unemployed (not employed before) i.e. Code 3 in Column 15 and inactive population i.e. any Code from 4 to 8 in Column 15, no information can be furnished in Columns 16 to 20 and hence enter dash (--) in each of these Columns for these persons. Following are the instructions for filling-in Columns 16 to 20 for a person for whom Code 1 or 2 is given in Column 15. The information to be filled-in will relate to employment details of the employed person (Code 1 in Column 15). In the case of unemployed (employed before) i.e. Code 2 in Column 15, the information to be filled-in will relate to last employment held by that person.<br /></svar></p> <p><svar v="KH98A415" a="all"><span class="em">Column 16: Employment Period</span><br /><br />100. Give the number of months (rounded off to the nearest month) during which the respondent was employed in the last 12 months. In the case of Code 1 in Column 15, the entry in Column 16 may be 06, 07, 08, 09, 10, 11 or 12 if the person was employed for 6, 7, 8, 9, 10, 11 or 12 months respectively during the last 12 months. In the case of Code 2 in Column 15, please note that you have to enter in Column 16, the number of months employed during the last 12 months only. The entry in Column 16 will be 00 if the person was not employed during the last 12 months. The entry will be 01, 02, 03, 04, or 05 if the person was employed for 1, 2, 3, 4 or 5 months respectively during the last 12 months.<br /></svar> Cambodia 1998: Persons who work or have worked [discrepancies: none] This variable indicates the total months employed in the past twelve months. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 98 Not reported 99 NIU (not in universe) Work Variables -- PERSON Occupation <svar v="KH98A414" a="all"><span class="em">15 Main Activity (Enter Code from list below)</span><br /><div class="i1"><div class="i2"><span class="em">Main activity during last year</span><br /><br />Codes for Column 15 Main Activity During Last Year<br />1 Employed (Fill in Cols. 16 to 20)<br />2 Unemployed (Employed any time before - Fill in Cols. 16 to 20 for last employment)<br />3 Unemployed (Never employed any time before)<br /><span class="em">Inactive</span><br />4 Homemaker<br />5 Student <br />6 Dependent<br />7 Rent-receiver, retired or other income recipient<br />8 ___ Other (Specify) <br /> (For codes 3 to 8, put dash ( - ) in Cols. 16 to 20)]</div></div><br /></svar></p> <p><svar v="KH98A416" a="all"><span class="em">___ 17 Occupation (Name of Occupation)</span> <br /></svar> <svar v="KH98A414 KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 15 to 20 on Economic Characteristics of Population</span><br /><br />97. These columns relate to the economic characteristics of population both male and female. Information proposed to be collected on economic characteristics of population includes information on economically active and economically not active population. Economically active population includes those who are employed and unemployed. Economically inactive population includes home makers; full time students; dependents; rent-receivers, retired people and other categories of income recipients; and others who are neither employed nor unemployed and also do not come under any of the inactive categories mentioned. The reference period for this is the last one year.<br /></svar></p> <p><svar v="KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 16 to 20</span><br /><br />99. Information in these Columns should be filled-in only for a person who is employed (Code 1 in Column 15) or unemployed (employed before) i.e. Code 2 in Column 15. For unemployed (not employed before) i.e. Code 3 in Column 15 and inactive population i.e. any Code from 4 to 8 in Column 15, no information can be furnished in Columns 16 to 20 and hence enter dash (--) in each of these Columns for these persons. Following are the instructions for filling-in Columns 16 to 20 for a person for whom Code 1 or 2 is given in Column 15. The information to be filled-in will relate to employment details of the employed person (Code 1 in Column 15). In the case of unemployed (employed before) i.e. Code 2 in Column 15, the information to be filled-in will relate to last employment held by that person.<br /></svar></p> <p><svar v="KH98A416" a="all"><span class="em">Column 17: Occupation</span><br /><br />101. Occupation refers to the name of the job the person did (e.g. cashier, primary school teacher, nurse, blacksmith, watchman, manager etc.).<br /><br /><div class="i1">101.1 You must write the occupation of a person as clearly and as fully as possible. You should not write only "staff member". Probe further to find out whether he/ she was a clerk, statistician, data entry operator etc. Do not write "Casual Laborer" which is rather vague. Find out whether he / she was a construction worker, hand-loom weaver etc. If a person says that he/ she has been doing two or three jobs, find out the job he / she was doing mostly and record the same.</div><br /></svar> Cambodia 1998: Persons who work or have worked [discrepancies: none] This variable indicates the occupation of the person. 001 Armed forces 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 131 General managers 214 Architects, engineers and related professionals 222 Health professionals (except nursing) 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 241 Business professionals 245 Writers and creative and performing artists 246 Religion professionals 311 Physical science and engineering technicians 313 Optical and electronic equipment controllers 314 Ship and aircraft controllers and technicians 321 Life science technicians and related workers 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Government associate professionals 345 Social work associate professionals 346 Artistic, entertainment and sports associate professionals 347 Non-ordained religion associate professionals 411 Secretaries and keyboard operating clerks 412 Numerical clerks 413 Material recording and transport clerks 414 Library, mail and related clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 511 Travel attendants and guides 512 Housekeeping and restaurant services workers 513 Personal care workers 514 Barbers and Hairdressers 515 Beauticians and related workers 516 Other personal services workers 517 Astrologers, fortune-tellers and related workers 518 Policemen/women 519 Protective services workers 521 Shop salespersons and demonstrators 522 Stall and market salespersons 611 Market gardeners and crop growers 612 Market-oriented animal producers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural, fishery and related workers 711 Miners and blasters, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related workers 721 Metal moulders, welders, sheet-metal workers, structural metal preparers and related workers 722 Blacksmiths, toolmakers and related workers 723 Automobile mechanics and fitters 724 Motorbike mechanics and fitters 725 Machinery mechanics and fitters 726 Electrical and electronic instrument mechanics and fitters 731 Precision workers in metal and related materials 732 Potters and related workers 733 Glass formers and related workers 734 Handicraft workers in wood, textile, leather and related materials 735 Printing and related trades workers 741 Food and related products processing trades workers 742 Cigarette rollers and tobacco products makers 743 Cabinet makers, wood treaters and related workers 744 Palm leaf products makers, basketry weavers and related workers 745 Bamboo products makers 746 Rope makers 747 Handloom weavers 748 Tailors, dressmakers and hatters 749 Textile and garment trades workers 750 Pelt, leather and shoemaking trades workers 811 Mining and mineral-processing plant operators 814 Wood-processing and papermaking plant operators 816 Power-generating and related plant operators 821 Metal and mineral products processing machine operators 823 Rubber and plastics products machine operators 824 Wood products machine operators 825 Printing, binding and paper products machine operators 826 Textile products machine operators 827 Food and related products processing machine operators 831 Railway engine drivers and related workers 832 Moto drivers 833 Taxi drivers 834 Other motor vehicle drivers 835 Agricultural, earth-moving, lifting and other mobile materials-handling equipment operators 836 Ship's deck crews and related workers 911 Street vegetable and fruit sellers 912 Street meat sellers 913 Street fish sellers 914 Street food snack sellers 915 Street cool drink and water sellers 916 Street cigarette sellers 917 Street petrol sellers 918 Petty firewood sellers 919 Other street vendors and related workers 920 Airpump operators (inflate wheels) 921 Shoe cleaning and other street services elementary occupations 922 Domestic helpers and maids 923 Laundry workers 924 Cleaners and related workers 925 Building caretakers and window cleaners 926 Private security guards 927 Messengers, watchers and security workers 928 Commercial sex workers 929 Tins and plastic materials collectors 930 Rag pickers 931 Other garbage collectors and related laborers 941 Agricultural, fishery and related laborers 942 Firewood collectors 951 Mining and construction laborers 952 Manufacturing laborers 953 Loaders and unloaders 954 Cyclo drivers 955 Other transport laborers 996 Response suppressed 997 Occupation not adequately described 998 Occupation not stated 999 NIU (not in universe) Work: Occupation Variables -- PERSON Class of worker <svar v="KH98A414" a="all"><span class="em">15 Main Activity (Enter Code from list below)</span><br /><div class="i1"><div class="i2"><span class="em">Main activity during last year</span><br /><br />Codes for Column 15 Main Activity During Last Year<br />1 Employed (Fill in Cols. 16 to 20)<br />2 Unemployed (Employed any time before - Fill in Cols. 16 to 20 for last employment)<br />3 Unemployed (Never employed any time before)<br /><span class="em">Inactive</span><br />4 Homemaker<br />5 Student <br />6 Dependent<br />7 Rent-receiver, retired or other income recipient<br />8 ___ Other (Specify) <br /> (For codes 3 to 8, put dash ( - ) in Cols. 16 to 20)]</div></div><br /></svar></p> <p><svar v="KH98A417" a="all"><span class="em">18 Employment Status</span><br /><div class="i1">Employment Status / Class (Enter Code from list below)<br /><div class="i2">1 Employer<br />2 Paid employee<br />3 Own - account worker<br />4 Unpaid family worker<br />5 ___ Other (specify)</div></div><br /></svar> <svar v="KH98A414 KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 15 to 20 on Economic Characteristics of Population</span><br /><br />97. These columns relate to the economic characteristics of population both male and female. Information proposed to be collected on economic characteristics of population includes information on economically active and economically not active population. Economically active population includes those who are employed and unemployed. Economically inactive population includes home makers; full time students; dependents; rent-receivers, retired people and other categories of income recipients; and others who are neither employed nor unemployed and also do not come under any of the inactive categories mentioned. The reference period for this is the last one year.<br /></svar></p> <p><svar v="KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 16 to 20</span><br /><br />99. Information in these Columns should be filled-in only for a person who is employed (Code 1 in Column 15) or unemployed (employed before) i.e. Code 2 in Column 15. For unemployed (not employed before) i.e. Code 3 in Column 15 and inactive population i.e. any Code from 4 to 8 in Column 15, no information can be furnished in Columns 16 to 20 and hence enter dash (--) in each of these Columns for these persons. Following are the instructions for filling-in Columns 16 to 20 for a person for whom Code 1 or 2 is given in Column 15. The information to be filled-in will relate to employment details of the employed person (Code 1 in Column 15). In the case of unemployed (employed before) i.e. Code 2 in Column 15, the information to be filled-in will relate to last employment held by that person.<br /></svar></p> <p><svar v="KH98A417" a="all"><span class="em">Column 18: Employment Status</span><br /><br />102. Five categories have been provided for Employment Status or Class. When the answer corresponds to one of these, you should record the appropriate code number. Note that you should record only one code for each respondent.<br /><br /><div class="i1">(a) Employer:- Record Code 1 for a person who operates his own enterprise directly or through another person (e.g. a manager or caretaker) and who for the operation of this enterprise hires one or more employees whom he pays. Note that the persons considered employees here exclude unpaid family workers and apprentices.<br /><br />(b) Paid Employee:- Record Code 2 for a person who works for a public or private employer and is paid by this employer. All Government Servants, for example, are employees. Payment may also be in kind.<br /><br />(c) Own Account Worker:- Record Code 3 for a person who operates his own enterprise (e.g. a farmer cultivating his own land, petty-trader, private doctor, advocate who practices independently) and who does not employ anybody to work for him in operation of his enterprise. He or she neither employs anybody nor is employed by anybody, (e.g. a fruit seller who does his or her business all alone).<br /><br />(d) Unpaid family worker:- Record Code 4 for a person who helps in running an economic enterprise operated by a member of his or her family without payment of wages or salary (e.g. wife who helps her husband in farming, daughter who helps in hand-loom weaving).<br /><br />(e) Other, (specify):- To this category belong all persons who do not fall in any of the above groups. You should write down the person's employment status in the space provided, after recording Code 5 (e.g. 5 Apprentice)</div><br /></svar> Cambodia 1998: Persons who work or have worked [discrepancies: none] This variable indicates the employment status or class of employee. 1 Employer 2 Paid employee 3 Own account 4 Family worker 5 Other 8 Not reported 9 NIU (not in universe) Work Variables -- PERSON Industry <svar v="KH98A414" a="all"><span class="em">15 Main Activity (Enter Code from list below)</span><br /><div class="i1"><div class="i2"><span class="em">Main activity during last year</span><br /><br />Codes for Column 15 Main Activity During Last Year<br />1 Employed (Fill in Cols. 16 to 20)<br />2 Unemployed (Employed any time before - Fill in Cols. 16 to 20 for last employment)<br />3 Unemployed (Never employed any time before)<br /><span class="em">Inactive</span><br />4 Homemaker<br />5 Student <br />6 Dependent<br />7 Rent-receiver, retired or other income recipient<br />8 ___ Other (Specify) <br /> (For codes 3 to 8, put dash ( - ) in Cols. 16 to 20)]</div></div><br /></svar></p> <p><svar v="KH98A418" a="all"><span class="em">___ 19 Industry, Trade or Service (Nature of Industry, Trade or Service)</span><br /></svar> <svar v="KH98A414 KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 15 to 20 on Economic Characteristics of Population</span><br /><br />97. These columns relate to the economic characteristics of population both male and female. Information proposed to be collected on economic characteristics of population includes information on economically active and economically not active population. Economically active population includes those who are employed and unemployed. Economically inactive population includes home makers; full time students; dependents; rent-receivers, retired people and other categories of income recipients; and others who are neither employed nor unemployed and also do not come under any of the inactive categories mentioned. The reference period for this is the last one year.<br /></svar></p> <p><svar v="KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 16 to 20</span><br /><br />99. Information in these Columns should be filled-in only for a person who is employed (Code 1 in Column 15) or unemployed (employed before) i.e. Code 2 in Column 15. For unemployed (not employed before) i.e. Code 3 in Column 15 and inactive population i.e. any Code from 4 to 8 in Column 15, no information can be furnished in Columns 16 to 20 and hence enter dash (--) in each of these Columns for these persons. Following are the instructions for filling-in Columns 16 to 20 for a person for whom Code 1 or 2 is given in Column 15. The information to be filled-in will relate to employment details of the employed person (Code 1 in Column 15). In the case of unemployed (employed before) i.e. Code 2 in Column 15, the information to be filled-in will relate to last employment held by that person.<br /></svar></p> <p><svar v="KH98A418" a="all"><span class="em">Column 19: Nature of Industry, Trade or Service</span><br /><br />103. You have to record here the sector of economy in which a person worked. Examples are: Cultivation, fishing, livestock rearing, selling of vegetables, automobile repairs, manufacture of toys, transport service, school or educational service, sale of clothes (retail), manufacture of eatables etc. If a person works as a sales assistant in a Gas Station his occupation is sales assistant and the nature of his trade is selling petrol (retail). The broad sectors of economy are: (i) Cultivation, fishing, livestock rearing, (ii) Mining or quarrying (iii) Manufacturing, processing, servicing (iv) Repairing (v) Construction (vi) Electricity, gas or water supply (vii) Transport and communication (viii) Trade and Commerce and (ix) Services like domestic service, public service etc. Do not be content with answer like Reaksmey Angkor and Co., Bayon and Co. etc., since from these names alone you cannot record the nature of activity of the Company. Ask probing questions to get information regarding the kind of product ( e.g. manufacture of cigarette) or the kind of trade (e.g. Newspaper selling) or the kind of service (e.g. hair dressing) in which the establishment or company is engaged in. If a person is working in a company with several activities, report the nature of the branch of the company in which the person is working. If the person is employed in a Government office or institution, the name of the office, bureau, school, etc., may be given (e.g. Ministry of Planning, Directorate of Agriculture, High court, Phnom Penh High School etc.).<br /></svar> Cambodia 1998: Persons who work or have worked [discrepancies: none] This variable indicates the nature of industry, trade or service in which the person is employed. 011 Growing of crops; market gardening; horticulture 012 Farming of livestock 013 Growing of crops combined with farming of livestock (mixed farming) 014 Agricultural and animal husbandry service activities, except veterinary activities 020 Forestry, logging and related service activities 050 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 141 Quarrying of stone, sand and clay 142 Mining and quarrying not elsewhere classified 151 Production, processing and preservation of meat, fish, fruit, vegetables, oils and fats 153 Manufacture of grain mill products, starches and starch products, and prepared animal feeds 154 Manufacture of other food products 155 Manufacture of beverages 160 Manufacture of tobacco products 171 Spinning, weaving and finishing of textiles 172 Manufacture of other textiles 181 Manufacture of wearing apparel; except fur apparel 191 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness 192 Manufacture of footwear 201 Sawmilling and planing of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 210 Manufacture of paper and paper products 221 Publishing 222 Printing and service activities related to printing 232 Manufacture of refined petroleum products 242 Manufacture of other chemical products 251 Manufacture of rubber products 261 Manufacture of glass and glass products 269 Manufacture of non-metallic mineral products not elsewhere classified 271 Manufacture of basic iron and steel 281 Manufacture of structural metal products, tanks, reservoirs and steam generators 289 Manufacture of other fabricated metal products; service activities to producers of fabricated metal products 292 Manufacture of special purpose machinery 314 Manufacture of accumulators, primary cells and primary batteries 315 Manufacture of electric lamps 322 Manufacture of television and radio transmitters and apparatus for line telephony and line telegraphy 323 Manufacture of television and radio receivers and associated consumer goods 343 Manufacture of parts and accessories for motor vehicles and their engines 359 Manufacture of transport equipment not elsewhere classified 361 Manufacture of furniture 369 Manufacture not elsewhere classified 401 Production, collection and distribution of electricity 410 Collection, purification and distribution of water 451 Site preparation 452 Building of complete constructions or parts thereof; civil engineering 453 Building installation 454 Building completion 455 Renting of construction or demolition equipment with operator 501 Sale of motor vehicles 502 Maintenance and repair of motor vehicles 503 Sale of motor vehicle parts and accessories 504 Sale, maintenance and repair of motorcycles and related parts and accessories 505 Retail sale of automotive fuel 512 Wholesale of agricultural raw materials, live animals, food, beverages and tobacco 513 Wholesale of household goods 514 Wholesale of non-agricultural intermediate products, waste and scrap 519 Other wholesale 521 Non-specialized retail trade 522 Retail sale of food, beverages and tobacco in specialized stores 523 Other retail trade of new goods in specialized stores 524 Retail sale of second-hand goods in stores 525 Retail trade not in stores 526 Repair of personal and household goods 551 Hotels; camping sites and other provision of short-stay accommodation 552 Restaurants, bars and canteens 601 Transport via railways 602 Other land transport 611 Sea and coastal water transport 612 Inland water transport 621 Scheduled air transport 630 Supporting and auxiliary transport activities; activities of travel agencies 641 Post and courier activities 642 Telecommunication 651 Monetary intermediation 671 Activities auxiliary to financial intermediation, except insurance and pension funding 741 Legal, accounting, bookkeeping and auditing activities; tax consultancy; market research and public opinion polling; business and management consultancy 749 Business activities not elsewhere classified 751 Administration of the State and the economic and social policy of the community 752 Provision of services to the community as a whole 753 Compulsory social security activities 801 Primary education 802 Secondary education 803 Higher education 809 Adult and other education 851 Human health activities 852 Veterinary activities 853 Social work activities 900 Sewage and refuse disposal, sanitation and similar activities 911 Activities of business, employers and professional organizations 912 Activities of trade unions 919 Activities of other membership organizations 921 Motion picture, radio and television and other entertainment activities 922 News agency activities 924 Sporting and other recreational activities 930 Other service activities 950 Private households with employed persons 990 Extraterritorial organizations and bodies 996 Response suppressed 997 Industry not adequately described 998 Industry not stated 999 NIU (not in universe) Work: Industry Variables -- PERSON Employment sector <svar v="KH98A414" a="all"><span class="em">15 Main Activity (Enter Code from list below)</span><br /><div class="i1"><div class="i2"><span class="em">Main activity during last year</span><br /><br />Codes for Column 15 Main Activity During Last Year<br />1 Employed (Fill in Cols. 16 to 20)<br />2 Unemployed (Employed any time before - Fill in Cols. 16 to 20 for last employment)<br />3 Unemployed (Never employed any time before)<br /><span class="em">Inactive</span><br />4 Homemaker<br />5 Student <br />6 Dependent<br />7 Rent-receiver, retired or other income recipient<br />8 ___ Other (Specify) <br /> (For codes 3 to 8, put dash ( - ) in Cols. 16 to 20)]</div></div><br /></svar></p> <p><svar v="KH98A419" a="all"><span class="em">20 Sector of Employment (Sector in which Employed) (Enter Code from list below)</span><br /><div class="i1">Codes for Column 20 Sector of Employment<br /><br />1 Government<br />2 State-owned enterprise (Parastatal)<br />3 Cooperative<br />4 Private<br />5 ___ Other (specify)</div><br /></svar> <svar v="KH98A414 KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 15 to 20 on Economic Characteristics of Population</span><br /><br />97. These columns relate to the economic characteristics of population both male and female. Information proposed to be collected on economic characteristics of population includes information on economically active and economically not active population. Economically active population includes those who are employed and unemployed. Economically inactive population includes home makers; full time students; dependents; rent-receivers, retired people and other categories of income recipients; and others who are neither employed nor unemployed and also do not come under any of the inactive categories mentioned. The reference period for this is the last one year.<br /></svar></p> <p><svar v="KH98A415 KH98A416 KH98A417 KH98A418 KH98A419"><span class="em">Columns 16 to 20</span><br /><br />99. Information in these Columns should be filled-in only for a person who is employed (Code 1 in Column 15) or unemployed (employed before) i.e. Code 2 in Column 15. For unemployed (not employed before) i.e. Code 3 in Column 15 and inactive population i.e. any Code from 4 to 8 in Column 15, no information can be furnished in Columns 16 to 20 and hence enter dash (--) in each of these Columns for these persons. Following are the instructions for filling-in Columns 16 to 20 for a person for whom Code 1 or 2 is given in Column 15. The information to be filled-in will relate to employment details of the employed person (Code 1 in Column 15). In the case of unemployed (employed before) i.e. Code 2 in Column 15, the information to be filled-in will relate to last employment held by that person.<br /></svar></p> <p><svar v="KH98A419" a="all"><span class="em">Column 20: Sector of Employment</span><br /><br />104. In this column you have to record the code for the sector in which respondent's employment falls. Five sectors are listed with their codes on the schedule. If the respondent is a Government servant you have to give Code 1 in this column. If he worked in state-owned enterprise (parastatal), you have to record Code 2 (e.g. electricity supply, water supply). If a respondent was working in a co-operative establishment (e.g., a Co-operative Bank) record Code 3 and all those who were working in private establishments as own account worker will get Code 4. If a person was working in an establishment which does not come under any of the above four categories you have to give Code 5 and indicate the sector of employment (e.g. 5 UNDP).<br /></svar> Cambodia 1998: Persons who work or have worked [discrepancies: none] This variable indicates the sector in which the person is employed. 1 Government 2 State-owned enterprise (parastatal) 3 Cooperative 4 Private 5 Other 8 Not reported 9 NIU (not in universe) Work Variables -- PERSON Children ever born, males <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="h1">Form B: Household Questionnaire Part 3: Fertility Information of Females Aged 15 and Over Listed in Column 2 of Part 2</span><br /></svar></p> <p><span class="h2">Fertility Information</span></p> <p><svar v="KH98A420 KH98A421 KH98A422 KH98A423" a="all"><span class="em">_ _ 4 Number of Children Born<br />(Give number in two digits like 01, 02,...................10, 11 etc. If none, write 00)</span><br /><br /><div class="i1">How many children have been born alive to the woman ?<br /><div class="i2">_ _ (a) Male<br />_ _ (b) Female</div><br />How many of them are living?<br /><div class="i2">_ _ (c) Male<br />_ _ (d) Female</div><br />How many of them have died?<br /><div class="i2">_ _ (e) Male<br />_ _ (f) Female</div></div><br /></svar> <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="em">Column 4: Number of Children Born</span><br /><br />110. The questions in this Column have been designed in such a way as to elicit the vital information we require without embarrassing the respondents. We have to find out the total number of children born to a woman, number of children living and number of children dead among them. Please remember that the nature of responses you will obtain will depend, to a great extent, on how tactfully you put these questions. Great care must be taken to choose words which, while retaining the exact meaning of the questions, will not give rise to any emotional feelings. Finally, please note that the word "children" in the questions refers to the woman's own offspring of whatever age and sex and not the children of a brother, sister or husband or other relative or non-relative or adopted ones who may be living with her. You should also note that some of the respondents may be old and their memory weak. You should, therefore, exercise patience and help them to recollect the correct number of children born to them. If no child is reported for any of the questions, write 00 in the column concerned.<br /><br /><span class="em">Note</span>: It is common experience that the birth of the child may not be reported readily if the child is not actually surviving at the time of enumeration. Infant deaths are still high in the country. There is a chance of a number of such cases being missed unless specifically questioned about. It is necessary to record all live births even if the child has died soon thereafter or had not survived to the day of enumeration. Where a woman first answers that no child was ever born to her, you may perhaps question her as follows: "It has been found in some houses that a child was born and had died soon after or a few days or months later and such cases had not been reported. It is my hope that there are no such cases here. Am I right?" This may bring in the required response. If she reports 'No' then you can be sure that no birth has been missed.<br />Columns 4: (a) and (b): How many Children have been born alive to you? (Separately by males in column (a) and females in Column (b))<br /></svar></p> <p><svar v="KH98A420 KH98A421" a="all">111. Record the number of children born alive to the respondent in the space provided, for male children in Column (a) and for female children in Column (b). Give the number in two digits as instructed at the heading of this column. When administering this question care must be taken to ensure that only the number of children born alive to a respondent is recorded. When a child is not born alive it is called a still birth. Still births should not be included while furnishing information in Columns 4 (a) or 4 (b).<br /><br />112. It is therefore necessary for you to know the definition of live birth (or children born alive). It is as follows:-<br /><br />Live birth is the complete expulsion (delivery) or extraction from its mother of a product of conception (baby), irrespective of the duration of pregnancy. The baby after such separation, breathes or shows other evidence of life, such as beating of the heart, pulsation of the umbilical cord, or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. Each product of such birth is considered as a live-birth.<br /><br />To put it in simple terms, a live birth is one in which the baby has cried.<br /><br />Columns 4: (c) and (d): How many of them are living? (separately for male children living in Column (c) and female children living in Column (d))<br /></svar> Cambodia 1998: Females age 15+ [discrepancies: none] This variable indicates the number of male children ever born to the respondent. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children ever born, females <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="h1">Form B: Household Questionnaire Part 3: Fertility Information of Females Aged 15 and Over Listed in Column 2 of Part 2</span><br /></svar></p> <p><span class="h2">Fertility Information</span></p> <p><svar v="KH98A420 KH98A421 KH98A422 KH98A423" a="all"><span class="em">_ _ 4 Number of Children Born<br />(Give number in two digits like 01, 02,...................10, 11 etc. If none, write 00)</span><br /><br /><div class="i1">How many children have been born alive to the woman ?<br /><div class="i2">_ _ (a) Male<br />_ _ (b) Female</div><br />How many of them are living?<br /><div class="i2">_ _ (c) Male<br />_ _ (d) Female</div><br />How many of them have died?<br /><div class="i2">_ _ (e) Male<br />_ _ (f) Female</div></div><br /></svar> <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="em">Column 4: Number of Children Born</span><br /><br />110. The questions in this Column have been designed in such a way as to elicit the vital information we require without embarrassing the respondents. We have to find out the total number of children born to a woman, number of children living and number of children dead among them. Please remember that the nature of responses you will obtain will depend, to a great extent, on how tactfully you put these questions. Great care must be taken to choose words which, while retaining the exact meaning of the questions, will not give rise to any emotional feelings. Finally, please note that the word "children" in the questions refers to the woman's own offspring of whatever age and sex and not the children of a brother, sister or husband or other relative or non-relative or adopted ones who may be living with her. You should also note that some of the respondents may be old and their memory weak. You should, therefore, exercise patience and help them to recollect the correct number of children born to them. If no child is reported for any of the questions, write 00 in the column concerned.<br /><br /><span class="em">Note</span>: It is common experience that the birth of the child may not be reported readily if the child is not actually surviving at the time of enumeration. Infant deaths are still high in the country. There is a chance of a number of such cases being missed unless specifically questioned about. It is necessary to record all live births even if the child has died soon thereafter or had not survived to the day of enumeration. Where a woman first answers that no child was ever born to her, you may perhaps question her as follows: "It has been found in some houses that a child was born and had died soon after or a few days or months later and such cases had not been reported. It is my hope that there are no such cases here. Am I right?" This may bring in the required response. If she reports 'No' then you can be sure that no birth has been missed.<br />Columns 4: (a) and (b): How many Children have been born alive to you? (Separately by males in column (a) and females in Column (b))<br /></svar></p> <p><svar v="KH98A420 KH98A421" a="all">111. Record the number of children born alive to the respondent in the space provided, for male children in Column (a) and for female children in Column (b). Give the number in two digits as instructed at the heading of this column. When administering this question care must be taken to ensure that only the number of children born alive to a respondent is recorded. When a child is not born alive it is called a still birth. Still births should not be included while furnishing information in Columns 4 (a) or 4 (b).<br /><br />112. It is therefore necessary for you to know the definition of live birth (or children born alive). It is as follows:-<br /><br />Live birth is the complete expulsion (delivery) or extraction from its mother of a product of conception (baby), irrespective of the duration of pregnancy. The baby after such separation, breathes or shows other evidence of life, such as beating of the heart, pulsation of the umbilical cord, or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. Each product of such birth is considered as a live-birth.<br /><br />To put it in simple terms, a live birth is one in which the baby has cried.<br /><br />Columns 4: (c) and (d): How many of them are living? (separately for male children living in Column (c) and female children living in Column (d))<br /></svar> Cambodia 1998: Females age 15+ [discrepancies: none] This variable indicates the number of female children ever born to the respondent. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children living, males <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="h1">Form B: Household Questionnaire Part 3: Fertility Information of Females Aged 15 and Over Listed in Column 2 of Part 2</span><br /></svar></p> <p><span class="h2">Fertility Information</span></p> <p><svar v="KH98A420 KH98A421 KH98A422 KH98A423" a="all"><span class="em">_ _ 4 Number of Children Born<br />(Give number in two digits like 01, 02,...................10, 11 etc. If none, write 00)</span><br /><br /><div class="i1">How many children have been born alive to the woman ?<br /><div class="i2">_ _ (a) Male<br />_ _ (b) Female</div><br />How many of them are living?<br /><div class="i2">_ _ (c) Male<br />_ _ (d) Female</div><br />How many of them have died?<br /><div class="i2">_ _ (e) Male<br />_ _ (f) Female</div></div><br /></svar> <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="em">Column 4: Number of Children Born</span><br /><br />110. The questions in this Column have been designed in such a way as to elicit the vital information we require without embarrassing the respondents. We have to find out the total number of children born to a woman, number of children living and number of children dead among them. Please remember that the nature of responses you will obtain will depend, to a great extent, on how tactfully you put these questions. Great care must be taken to choose words which, while retaining the exact meaning of the questions, will not give rise to any emotional feelings. Finally, please note that the word "children" in the questions refers to the woman's own offspring of whatever age and sex and not the children of a brother, sister or husband or other relative or non-relative or adopted ones who may be living with her. You should also note that some of the respondents may be old and their memory weak. You should, therefore, exercise patience and help them to recollect the correct number of children born to them. If no child is reported for any of the questions, write 00 in the column concerned.<br /><br /><span class="em">Note</span>: It is common experience that the birth of the child may not be reported readily if the child is not actually surviving at the time of enumeration. Infant deaths are still high in the country. There is a chance of a number of such cases being missed unless specifically questioned about. It is necessary to record all live births even if the child has died soon thereafter or had not survived to the day of enumeration. Where a woman first answers that no child was ever born to her, you may perhaps question her as follows: "It has been found in some houses that a child was born and had died soon after or a few days or months later and such cases had not been reported. It is my hope that there are no such cases here. Am I right?" This may bring in the required response. If she reports 'No' then you can be sure that no birth has been missed.<br />Columns 4: (a) and (b): How many Children have been born alive to you? (Separately by males in column (a) and females in Column (b))<br /></svar></p> <p><svar v="KH98A422 KH98A423" a="all">113. Record in the space provided, the number of the woman's own children by sex who are alive. Some of them may be in the same household and others may live elsewhere. You have to record all of them. Remember to include in this category any of the woman's own children who normally live in this household but who are absent at the time of the interview. In some cases when the children are away from their mother, she may not know whether they are living or not. In those cases write "not known" under columns 4(c) and 4(d).<br /><br />Columns 4: (e) and (f): How many of them have died? (separately for male children dead in Column (e) and female children dead in Column (f)<br /><br />114. Record in the space provided the number of the woman's own children by sex who are dead. Note that some women may not easily remember the number of their children who have died. Therefore, you should help the respondent to find the correct number by counting your fingers as she mentions the names of the children dead. This is a sensitive question and you must ascertain the answer without wounding the feelings of the respondent.<br /><br /><span class="em">Note</span>: Make sure that no child is counted more than once or omitted. Please remember that the number of children born alive to a woman should be equal to the total of number of children living and number of children dead.<br /><br /><div class="i1">Column 4 (a) = Column 4 (c) + Column 4 (e) and<br />Column 4 (b) = Column 4 (d) + Column 4 (f).<br />Column 5: Particulars of Births in the last 12 months</div><br /></svar> Cambodia 1998: Females age 15+ [discrepancies: none] This variable indicates the number of male children alive to the respondent. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children living, females <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="h1">Form B: Household Questionnaire Part 3: Fertility Information of Females Aged 15 and Over Listed in Column 2 of Part 2</span><br /></svar></p> <p><span class="h2">Fertility Information</span></p> <p><svar v="KH98A420 KH98A421 KH98A422 KH98A423" a="all"><span class="em">_ _ 4 Number of Children Born<br />(Give number in two digits like 01, 02,...................10, 11 etc. If none, write 00)</span><br /><br /><div class="i1">How many children have been born alive to the woman ?<br /><div class="i2">_ _ (a) Male<br />_ _ (b) Female</div><br />How many of them are living?<br /><div class="i2">_ _ (c) Male<br />_ _ (d) Female</div><br />How many of them have died?<br /><div class="i2">_ _ (e) Male<br />_ _ (f) Female</div></div><br /></svar> <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="em">Column 4: Number of Children Born</span><br /><br />110. The questions in this Column have been designed in such a way as to elicit the vital information we require without embarrassing the respondents. We have to find out the total number of children born to a woman, number of children living and number of children dead among them. Please remember that the nature of responses you will obtain will depend, to a great extent, on how tactfully you put these questions. Great care must be taken to choose words which, while retaining the exact meaning of the questions, will not give rise to any emotional feelings. Finally, please note that the word "children" in the questions refers to the woman's own offspring of whatever age and sex and not the children of a brother, sister or husband or other relative or non-relative or adopted ones who may be living with her. You should also note that some of the respondents may be old and their memory weak. You should, therefore, exercise patience and help them to recollect the correct number of children born to them. If no child is reported for any of the questions, write 00 in the column concerned.<br /><br /><span class="em">Note</span>: It is common experience that the birth of the child may not be reported readily if the child is not actually surviving at the time of enumeration. Infant deaths are still high in the country. There is a chance of a number of such cases being missed unless specifically questioned about. It is necessary to record all live births even if the child has died soon thereafter or had not survived to the day of enumeration. Where a woman first answers that no child was ever born to her, you may perhaps question her as follows: "It has been found in some houses that a child was born and had died soon after or a few days or months later and such cases had not been reported. It is my hope that there are no such cases here. Am I right?" This may bring in the required response. If she reports 'No' then you can be sure that no birth has been missed.<br />Columns 4: (a) and (b): How many Children have been born alive to you? (Separately by males in column (a) and females in Column (b))<br /></svar></p> <p><svar v="KH98A422 KH98A423" a="all">113. Record in the space provided, the number of the woman's own children by sex who are alive. Some of them may be in the same household and others may live elsewhere. You have to record all of them. Remember to include in this category any of the woman's own children who normally live in this household but who are absent at the time of the interview. In some cases when the children are away from their mother, she may not know whether they are living or not. In those cases write "not known" under columns 4(c) and 4(d).<br /><br />Columns 4: (e) and (f): How many of them have died? (separately for male children dead in Column (e) and female children dead in Column (f)<br /><br />114. Record in the space provided the number of the woman's own children by sex who are dead. Note that some women may not easily remember the number of their children who have died. Therefore, you should help the respondent to find the correct number by counting your fingers as she mentions the names of the children dead. This is a sensitive question and you must ascertain the answer without wounding the feelings of the respondent.<br /><br /><span class="em">Note</span>: Make sure that no child is counted more than once or omitted. Please remember that the number of children born alive to a woman should be equal to the total of number of children living and number of children dead.<br /><br /><div class="i1">Column 4 (a) = Column 4 (c) + Column 4 (e) and<br />Column 4 (b) = Column 4 (d) + Column 4 (f).<br />Column 5: Particulars of Births in the last 12 months</div><br /></svar> Cambodia 1998: Females age 15+ [discrepancies: none] This variable indicates the number of female children alive to the respondent. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Births last year, males <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="h1">Form B: Household Questionnaire Part 3: Fertility Information of Females Aged 15 and Over Listed in Column 2 of Part 2</span><br /></svar></p> <p><span class="h2">Fertility Information</span></p> <p><svar v="KH98A424 KH98A425" a="all"><span class="em">5 Particulars of Birth in the last 12 months</span><br /><div class="i1">Any child born alive to the woman during the last 12 months? <br />(Give actual number like 1,2,... If none, write 0)<br /><div class="i2">_ Male <br />_ Female</div></div><br /></svar> <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="em">Column 4: Number of Children Born</span><br /><br />110. The questions in this Column have been designed in such a way as to elicit the vital information we require without embarrassing the respondents. We have to find out the total number of children born to a woman, number of children living and number of children dead among them. Please remember that the nature of responses you will obtain will depend, to a great extent, on how tactfully you put these questions. Great care must be taken to choose words which, while retaining the exact meaning of the questions, will not give rise to any emotional feelings. Finally, please note that the word "children" in the questions refers to the woman's own offspring of whatever age and sex and not the children of a brother, sister or husband or other relative or non-relative or adopted ones who may be living with her. You should also note that some of the respondents may be old and their memory weak. You should, therefore, exercise patience and help them to recollect the correct number of children born to them. If no child is reported for any of the questions, write 00 in the column concerned.<br /><br /><span class="em">Note</span>: It is common experience that the birth of the child may not be reported readily if the child is not actually surviving at the time of enumeration. Infant deaths are still high in the country. There is a chance of a number of such cases being missed unless specifically questioned about. It is necessary to record all live births even if the child has died soon thereafter or had not survived to the day of enumeration. Where a woman first answers that no child was ever born to her, you may perhaps question her as follows: "It has been found in some houses that a child was born and had died soon after or a few days or months later and such cases had not been reported. It is my hope that there are no such cases here. Am I right?" This may bring in the required response. If she reports 'No' then you can be sure that no birth has been missed.<br />Columns 4: (a) and (b): How many Children have been born alive to you? (Separately by males in column (a) and females in Column (b))<br /></svar></p> <p><svar v="KH98A424 KH98A425" a="all">115. This question is aimed at collecting information on births (separately as male or female birth) in the 12 months prior to the date of enumeration to all females aged 15 years and over. Please note that the number of children born alive, already recorded in Columns 4(a) and 4(b), include the child born alive to the woman in the last 12 months. In the case of older women (say beyond age 50) or widows or divorced women, there may not be any birth in the last 12 months generally. In their cases also you have to fill in this column by entering 0. Please, however, remember that occurrence of births is not entirely ruled out in such cases. Only if the child was born alive, you should record 1 under male or female as the case may be. Still birth, i.e., a child which is born dead should not be taken into account for this purpose. So you should make sure that every case of birth of a child born alive, even if it is not alive on the date of enumeration, is reported. You should not reckon it if the child was born lifeless. Suppose a child was born alive then died immediately after birth it is a live birth which should be reported. You have to make sure that any live birth that has occurred to a woman in the last one year is recorded whether the child is surviving till date of enumeration or not.<br /><br /><div class="i1">115.1 If the answer to this question is 'Yes', you should ask whether the child was born male or female. If male, record 1 under male and 0 under female. If female, record 0 under male and 1 under female. If the answer is 'No', enter 0 both under male and female. In case where the woman has had twins, please write 2 under male or female as the case may be. If it was 1 male and 1 female, record accordingly. If there were multiple births enter suitably following this procedure.</div><br /></svar> Cambodia 1998: Females age 15+ [discrepancies: none] This variable indicates the number of male children born alive to the woman during the last 12 months. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Births last year, females <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="h1">Form B: Household Questionnaire Part 3: Fertility Information of Females Aged 15 and Over Listed in Column 2 of Part 2</span><br /></svar></p> <p><span class="h2">Fertility Information</span></p> <p><svar v="KH98A424 KH98A425" a="all"><span class="em">5 Particulars of Birth in the last 12 months</span><br /><div class="i1">Any child born alive to the woman during the last 12 months? <br />(Give actual number like 1,2,... If none, write 0)<br /><div class="i2">_ Male <br />_ Female</div></div><br /></svar> <svar v="KH98A420 KH98A421 KH98A422 KH98A423 KH98A424 KH98A425"><span class="em">Column 4: Number of Children Born</span><br /><br />110. The questions in this Column have been designed in such a way as to elicit the vital information we require without embarrassing the respondents. We have to find out the total number of children born to a woman, number of children living and number of children dead among them. Please remember that the nature of responses you will obtain will depend, to a great extent, on how tactfully you put these questions. Great care must be taken to choose words which, while retaining the exact meaning of the questions, will not give rise to any emotional feelings. Finally, please note that the word "children" in the questions refers to the woman's own offspring of whatever age and sex and not the children of a brother, sister or husband or other relative or non-relative or adopted ones who may be living with her. You should also note that some of the respondents may be old and their memory weak. You should, therefore, exercise patience and help them to recollect the correct number of children born to them. If no child is reported for any of the questions, write 00 in the column concerned.<br /><br /><span class="em">Note</span>: It is common experience that the birth of the child may not be reported readily if the child is not actually surviving at the time of enumeration. Infant deaths are still high in the country. There is a chance of a number of such cases being missed unless specifically questioned about. It is necessary to record all live births even if the child has died soon thereafter or had not survived to the day of enumeration. Where a woman first answers that no child was ever born to her, you may perhaps question her as follows: "It has been found in some houses that a child was born and had died soon after or a few days or months later and such cases had not been reported. It is my hope that there are no such cases here. Am I right?" This may bring in the required response. If she reports 'No' then you can be sure that no birth has been missed.<br />Columns 4: (a) and (b): How many Children have been born alive to you? (Separately by males in column (a) and females in Column (b))<br /></svar></p> <p><svar v="KH98A424 KH98A425" a="all">115. This question is aimed at collecting information on births (separately as male or female birth) in the 12 months prior to the date of enumeration to all females aged 15 years and over. Please note that the number of children born alive, already recorded in Columns 4(a) and 4(b), include the child born alive to the woman in the last 12 months. In the case of older women (say beyond age 50) or widows or divorced women, there may not be any birth in the last 12 months generally. In their cases also you have to fill in this column by entering 0. Please, however, remember that occurrence of births is not entirely ruled out in such cases. Only if the child was born alive, you should record 1 under male or female as the case may be. Still birth, i.e., a child which is born dead should not be taken into account for this purpose. So you should make sure that every case of birth of a child born alive, even if it is not alive on the date of enumeration, is reported. You should not reckon it if the child was born lifeless. Suppose a child was born alive then died immediately after birth it is a live birth which should be reported. You have to make sure that any live birth that has occurred to a woman in the last one year is recorded whether the child is surviving till date of enumeration or not.<br /><br /><div class="i1">115.1 If the answer to this question is 'Yes', you should ask whether the child was born male or female. If male, record 1 under male and 0 under female. If female, record 0 under male and 1 under female. If the answer is 'No', enter 0 both under male and female. In case where the woman has had twins, please write 2 under male or female as the case may be. If it was 1 male and 1 female, record accordingly. If there were multiple births enter suitably following this procedure.</div><br /></svar> Cambodia 1998: Females age 15+ [discrepancies: none] This variable indicates the number of female children born alive to the woman during the last 12 months. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON