1995 Population Census DDI_LAO_1995_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 2, 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. 1995 Population Census - IPUMS Subset PHC la1995a (IPUMS Harmonized Subset) LAO_1995_PHC_v01_M_v7.6_A_IPUMS National Statistical Center IPUMS (c) Copyright 1995, National Statistical Center and Minnesota Population Center National Statistical Center 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 Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Fertility and Mortality Variables -- PERSON Other Person Variables -- PERSON March 1, 1995 5 days Lao People's Democratic Republic Province Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: No - Households: Private households can be single person or multi-person households. A single-person household comprises of one person living in a part or the whole of the dwelling unit, arranging for food and other life necessities on his own without joining other persons and possessing his own civil registration book. A multi-person household comprises of two or more persons living in a part or the whole dwelling unit, and who together arrange for food and other life necessities and share a common registration book - Group quarters: Collective households would consist of accommodation units of an enterprise, factory, school, temple, hospital, etc. Examples of collective households are KM 62 Orphanage House, Middle Level Medical School hostel, Dongdok University hostel, a temple where the monks live. Persons in households, which means that household is not identical to the concept family; the latter concept is not used at all in the census: i) Lao citizens and ii) those citizens of other countries who have been granted permanent residence in Lao P.D.R. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Laos 1995 MICRODATA SOURCE: National Statistical Center SAMPLE SIZE (person records): 458406. SAMPLE DESIGN: Systematic sample of every 10th household, drawn by Lao Statistics Bureau Face-to-face [f2f] Single enumeration form that requested information on individuals De jure, CENSUS DAY: March 1, 1995 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 Statistical Center 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: Lao People's Democratic Republic, National Statistical Center. 1995 Population Census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for la1995a, 2025 LAO1995_PHC-H-H.dat Household records 80,174 ascii Minnesota Population Center Version 7.5, IPUMS sample LAO1995_PHC-P-H.dat Person records 458406 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 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 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 Lao People's Democratic Republic, Province 1995 - 2015 [Level 1; consistent boundaries, GIS] GEO1_LA identifies the household's province within the Lao People's Democratic Republic in all sample years. Provinces are the first level administrative units of the country. GEO1_LA 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_LA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Lao People's Democratic Republic 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. 418001 Vientiane Capital 418002 Phongsaly 418003 Luangnamtha 418004 Oudomxay 418005 Bokeo 418006 Luangprabang 418007 Huaphanh 418008 Xayaboury 418009 Xienkhuang 418010 Vientiane Province 418011 Borikhamxay 418012 Khammuane 418013 Savanakhet 418014 Saravane 418015 Sekong 418016 Champasack 418017 Attapeu 418018 Xaysomboune Geography: F-N Variables -- HOUSEHOLD Lao People's Democratic Republic, Province 1995 [Level 1, GIS] GEO1_LA1995 identifies the household's province within the Lao People's Democratic Republic in 1995. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_LA1995 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Lao People's Democratic Republic 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 Vientiane Municipality 002 Phongsaly 003 Luangnamtha 004 Oudomxay 005 Bokeo 006 Luangprabang 007 Huaphanh 008 Xayaboury 009 Xiengkhuang 010 Vientiane Province 011 Borikhamxay 012 Khammuane 013 Savannakhet 014 Saravane 015 Sekong 016 Champasack 017 Attapeu 018 Xaysomboon Special Region Geography: F-N Variables -- HOUSEHOLD Lao People's Democratic Republic, District 1995 - 2015 [Level 2; consistent boundaries, GIS] GEO2_LA identifies the household's district within the Lao People's Democratic Republic in all sample years. Districts are the second level administrative units of the country. GEO2_LA is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_LA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Lao People's Democratic Republic 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. 418001001 Xaythany 418001002 Sikhottabong 418001003 Xaysetha 418001004 Hadxaifong 418001005 Naxaithong 418001006 Chanthabuly 418001007 Sisattanak 418001008 Pakngum 418001009 Sangthong 418002001 Nhot Ou 418002002 May 418002003 Khua 418002004 Samphanh 418002005 Boon Tai 418002006 Phongsaly 418002007 Boon Neua 418003001 Namtha 418003002 Sing 418003003 Long 418003004 Viengphoukha 418003005 Nalae 418004001 Xay 418004002 Hoon 418004003 La, Namor 418004004 Beng 418004005 Nga 418004006 Pakbeng 418005001 Huoixai 418005002 Paktha, Pha Oudom 418005003 Meung, Tonpheung 418006001 Louangprabang 418006002 Ngoi, Viengkham, Phonthong 418006003 Nambak 418006004 Xieng Ngeun 418006005 Phonxay 418006006 Chomphet 418006007 Nan 418006008 Park Ou 418006009 Phoukhoune 418006010 Pak Xeng 418007001 Muang Et, Sopbao, Xiengkhor 418007002 Xamtay, Kuan 418007003 Xamneua 418007004 Huameuang 418007005 Viengxay 418007006 Hiem, Xon 418008001 Xayabury, Xaysathan 418008002 Paklai, Thongmyxay 418008003 Botene, Kenethao 418008004 Phiang 418008005 Hongsa, Ngeun 418008006 Xienghone 418008007 Khop 418009001 Pek 418009002 Khoune, Mork, Phaxay 418009003 Kham 418009004 Nonghed 418009005 Phookood 418010001 Feuang, Hinherb, Mad 418010002 Phonhong, Viengkham 418010003 Xanakharm, Meun 418010004 Keo Oudom, Vangvieng 418010005 Thoulakhom 418010006 Kasy 418011001 Khamkeuth, Xaychamphone 418011002 Pakkading 418011003 Bolikhanh 418011004 Pakxane 418011005 Viengthong 418011006 Thaphabath 418012001 Thakhek 418012002 Hinboon, Khounkham 418012003 Nongbok 418012004 Mahaxay 418012005 Nhommalath 418012006 Bualapha 418012007 Xebangfay 418012008 Xaybuathong 418012009 Nakay 418013001 Kaysone Phomvihane, Xayphoothong 418013002 Champhone 418013003 Songkhone 418013004 Outhoomphone 418013005 Atsaphangthong, Phalanxay 418013006 Phine 418013007 Xonbuly 418013008 Xaybuly 418013009 Atsaphone 418013010 Sepone 418013011 Thapangthong 418013012 Vilabuly 418013013 Nong 418014001 Saravane 418014002 Lao Ngarm 418014003 Khongxedone 418014004 Lakhonepheng 418014005 Samuoi, Ta Oi 418014006 Vapy 418014007 Toomlarn 418015001 Dakcheung, Kaleum 418015002 Thateng 418015003 Lamarm 418016001 Phonthong 418016002 Khong 418016003 Paksxong 418016004 Pakse 418016005 Sanasomboon 418016006 Champasack 418016007 Pathoomphone 418016008 Bachiangchaleunsook 418016009 Sukhuma 418016010 Moonlapamok 418017001 Samakkhixay 418017002 Phouvong, Sanxay 418017003 Sanamxay 418017004 Xaysetha 418018001 Longchaeng, Anouvong, Longsan 418018002 Hom, Thathom Geography: F-N Variables -- HOUSEHOLD Lao People's Democratic Republic, District 1995 [Level 2, GIS] GEO2_LA1995 identifies the household's district within the Lao People's Democratic Republic in 1995. Districts are the second level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO2_LA1995 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Lao People's Democratic Republic 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 Xaythany 001002 Sikhottabong 001003 Xaysettha 001004 Hadxaifong 001005 Chanthabuly 001006 Sisattanak 001007 Naxaithong 001008 Parkngum 001009 Sangthong 002001 Khua 002002 Boon Neua, Boon Tai 002003 Phongsaly 002004 Sumphanh 002005 Nhot Ou 002006 Mai 003001 Long, Viengphoukha 003002 Namtha 003003 Sing 003004 Nalae 004001 Hoon 004002 Xay 004003 La, Namor 004004 Beng 004005 Nga 004006 Pakbeng 005001 Huoixai 005002 Meung, Tonpheung 005003 Pha Oudom 005004 Paktha 006001 Luangprabang 006002 Nambak 006003 Xiengngeun 006004 Ngoi 006005 Nan 006006 Pak Xeng 006007 Chomphet 006008 Phonxay 006009 Pak Ou 006010 Phoukhoune 006011 Viengkham 007001 Xumneua 007002 Huameuang 007003 Xiengkhor 007004 Xumtai 007005 Viengxay 007006 Viengthong 008001 Paklai 008002 Phiang 008003 Ngeun, Xienghone 008004 Kenethao 008005 Bortene 008006 Khop 008007 Xayabuly 008008 Hongsa 009001 Pek 009002 Khoune, Morkmai, Phaxay 009003 Kham 009004 Nonghed 009005 Phookood 010001 Phonhong 010002 Thoulakhom 010003 Vangvieng 010004 Kasy 010005 Keo Oudom 010006 Xanakharm 010007 Feuang 011001 Khamkheuth 011002 Pakxanh 011003 Pakkading 011004 Thaphabath 011005 Viengthong 011006 Borlikhanh 012001 Thakhek 012002 Nongbok 012003 Mahaxay 012004 Nhommalath 012005 Buolapha 012006 Xebangfay 012007 Nakai 012008 Xaybuathong 012009 Hinboon 013001 Khanthabouly 013002 Champhone 013003 Songkhone 013004 Outhoomphone 013005 Atsaphone 013006 Phine 013007 Sepone 013008 Xonnabuly 013009 Vilabuly 013010 Thapangthong 013011 Nong 013012 Xaybuly 013013 Atsaphangthong 014001 Saravane 014002 Khongxedone 014003 Lao Ngarm 014004 Lakhonepheng 014005 Samuoi, Ta Oi 014006 Vapy 014007 Toomlarn 015001 Dakcheung, Kaleum 015002 Lamarm 015003 Thateng 016001 Phonthong 016002 Khong 016003 Pakse 016004 Sanasomboon 016005 Champasack 016006 Pakxong 016007 Pathoomphone 016008 Sukhumma 016009 Bachiangchaleunsook 016010 Moonlapamok 017001 Xaysettha 017002 Phouvong, Sanxay 017003 Sanamxay 017004 Samakkhixay 018001 Thathom, Xaysomboon 018002 Longsane, Phoun 018004 Hom Geography: F-N 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 Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 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 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 Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ Dwelling Characteristics Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household 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 Laos 1995: All records This variable indicates the dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Laos 1995: All records This variable indicates the number of persons in 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 Urban or rural <span class="h3">6.2 Information for urban/rural classification</span> <br />In order to be able to classify villages as urban or rural at a later stage during the census, you must fill in the information regarding marketplace and access road to the village to which your EA belongs.</p> <div class="i1">- Check if the village has a permanent marketplace and tick the relevant box on the booklet cover<br />- Check if at least one access road to the village is good enough to be used by a sedan car during the dry season and tick the relevant box on the booklet cover</div> Laos 1995: All households This variable indicates whether the household is located in the urban or rural area. 1 Urban 2 Rural Geography: F-N Variables -- HOUSEHOLD Deaths in the household in the last 12 months <span class="h3">F. Deaths in household</span></p> <p>19. Did any death occur in the household in the last 12 months?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br /><br />If no, skip to question 20. If yes, then ask:</div><div class="i1">Was the deceased male or female?</div><div class="i2">[] 1 Male<br />[] 2 Female</div><div class="i1">How old was the deceased?</div><div class="i2">Age in completed years ____</div> <span class="h3">Section F: Deaths in the household</span> <br />The data on deaths required here refers to deaths in the last twelve months of members of the household. Deaths which occur after the census night are not to be recorded. Remember that respondents will be reluctant to talk about deaths and become sad or upset that you are asking such questions. Be very tactful in such situations.</p> <p><span class="em">Question 19: Did any deaths occur in the household in the last twelve months?</span> <br />Circle the appropriate answer.</p> <p>If the answer is "no" write "N/A" on the rest of the section. If the answer is "yes", obtain, for each death, the following details:</p> <div class="i1"><span class="em">a. Was the deceased male or female -</span><br />Circle the appropriate response, i.e. "1" for male; "2" for female.</div><div class="i1"><span class="em">b. How old was the deceased?</span><br />This refers to age at last birthday of the deceased and entries, in completed years, should be made as follows:<br /><br />- "0" for children less than a year<br />- actual age in completed years for other deaths,<br />- "999" for not known (very limited cases)</div> Laos 1995: All households This variable indicates whether deaths occurred in the household in the last 12 months. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Tenure status of the household <span class="h3">G. Housing characteristics </span></p> <p>20. What is the tenure status of the household?</p> <div class="i1">[] 1 Owner/purchaser <br />[] 2 Tenant<br />[] 3 Lodger<br />[] 4 Tied accommodation<br />[] 5 Other</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 20: What is the tenure status of the household?</span> <br />This refers to the arrangements under which the household occupies its living quarters in the nature of its right to be there. The categories, for which you are to circle the appropriate one, are:</p> <div class="i1"><span class="ital">1. Owner/purchaser</span><br />An owner or purchaser is one who owns the house or is in the process of buying it.<br />Some people may own their house in terms of customary law and should be recorded as owners.</div><div class="i1"><span class="ital">2. Tenant</span><br />A tenant rents and occupies the whole dwelling unit and generally pays electricity and water charges to the urban authority.</div><div class="i1"><span class="ital">3. Lodger</span><br />A lodger rents part of a dwelling unit which is normally occupied by the owner/purchaser.</div><div class="i1"><span class="ital">4. Tied accommodation</span><br />A person living in tied accommodation occupies it by virtue of his or her job. The accommodation belongs to the employer and is made available as parts of terms of employment. If the person leaves the job, s/he is required to move out of the dwelling unit. An example are domestic workers quarters.</div><div class="i1"><span class="ital">5. Other</span><br />This category includes those staying free in a dwelling unit but constituting a separate household</div> Laos 1995: All households This variable indicates the tenure status of the household. 1 Owner or purchaser 2 Tenant 3 Lodger 4 Tied accommodation 5 Other 9 Unknown Household Economic Variables -- HOUSEHOLD Type of dwelling unit <span class="h3">G. Housing characteristics </span></p> <p>21. Type of dwelling unit</p> <div class="i1">[] 1 Concrete<br />[] 2 Wooden<br />[] 3 Wood<br />[] 4 Semi permanent housing<br />[] 5 Other</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 21: Type of dwelling unit</span> <br />The purpose of this question is to collect information on the type of housing occupied by the household, defined by the type of material used for the household's dwelling unit.</p> <div class="i1"><span class="ital">1. Concrete house (of either of three types)</span><br />- Concrete structure, concrete wall, concrete roofing, each floor is made from concrete<br />- Concrete structure, concrete wall, concrete floor, wooden roofing structure<br />- Concrete structure, concrete wall, wooden floor and roofing structure<br /><br /><span class="pg">p.28</span><br /><br />These three alternatives are all to be coded with "1" (concrete house).</div><div class="i1"><span class="ital">2. Wooden house (of either of two types)</span><br />Wooden structure, concrete ground floor, wooden floor, wooden roofing structure<br />Wooden structure, wooden ground floor, wooden floor, wooden roofing structure. These two alternatives arc to be coded as "2" (wooden house).</div><div class="i1"><span class="ital">3. Concrete/wood house</span><br />Ground floor structure and wall made from concrete, second floor structure and wall are from wood.<br /><br />This is to be coded as "3" (concrete/wood house).</div><div class="i1"><span class="ital">4. Semi-permanent housing or other general type of housing</span><br />All other semi-permanent structures of bamboo, plywood, grass, etc.</div><div class="i1"><span class="ital">5. Other types of housing (N.B: must be defined along with category 4)</span></div> Laos 1995: All households This variable indicates the type of dwelling unit. 1 Concrete 2 Wooden 3 Wood 4 Semi permanent housing 5 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Electricity <span class="h3">G. Housing characteristics </span></p> <p>22. Is this dwelling unit electrified?</p> <div class="i1">[] 1 Yes (own meter)<br />[] 2 Yes (shared meter)<br />[] 3 Yes (own generator)<br />[] 4 Yes (car battery)<br />[] 5 No</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 22: Is this dwelling unit electrified?</span> <br />The response alternatives are:</p> <div class="i1">[] 1. Yes - own meter<br />[] 2. Yes - shared meter<br />[] 3. Yes - own generated (diesel/hydro-power)<br />[] 4. Yes - car battery<br />[] 5. No</div><p>Alternative 1 and 2 above refers to public utility procurement of electricity, while alternative 3 refers to electricity produced locally by a co-operative or a household. Laos 1995: All households This variable indicates whether the household has electricity. 1 Yes, own meter 2 Yes, shared meter 3 Yes, own generator 4 Yes, car battery 5 No electricity 9 Unknown Utilities Variables -- HOUSEHOLD Living area of the dwelling unit (square meters) <span class="h3">G. Housing characteristics </span></p> <p>23. What is the living area of the dwelling unit?</p> <div class="i1">Enter the living area in square metres ____</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 23: What is the living area of the dwelling unit?</span> <br />The purpose of this question is to capture the living area of the dwelling unit and to enable calculations on living area averages. The living area is not identical to building area, but comprises rooms, kitchen (remains to be defined)</p> <div class="i1">- If the household occupies a two-storey building, the living area is the sum of the living areas in each floor.<br />- If the household occupies two or more houses, the living area is the sum of the living areas in the two houses.<br />- If two or more households share a house, each household should state the living area they occupy in the house.</div><span class="pg">p.29</span></p> <p><span class="ital">Enter the living area in square meters, e.g.: </span><div class="i1">7 m2 = "7"<br />65 m2 = "65"<br />98 m2 = "98"</div><p>At most 3 digits are allowed, "998" is to be recorded for living area of 998 m2 or more. If the living area is not exactly known, make an estimate.</p> <p>For not known, use "999". Laos 1995: All households This variable indicates the living area of the dwelling unit (square meters). 001 1 square meter 002 2 square meters 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 198 198 199 199 200 200 201 201 202 202 203 203 204 204 205 205 208 208 210 210 216 216 217 217 218 218 220 220 222 222 224 224 225 225 226 226 227 227 228 228 230 230 231 231 234 234 240 240+ 999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main source of water for drinking and cooking <span class="h3">G. Housing characteristics </span></p> <p>24. Water for drinking and cooking</p> <div class="i1">What is the household's main source of water for drinking and cooking?</div><div class="i2">[] 1 Piped water in/outside<br />[] 2 Well/borehole, protected<br />[] 3 Well/borehole, unprotected<br />[] 4 River/stream/dam<br />[] 5 Rain water from tank/jar<br />[] 6 Other</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 24: Water for drinking and cooking</span> <br />The question asks for information on:</p> <div class="i1">- main water source<br />- distance to that water source<br />- indirectly also whether water source is safe or not</div><p>The response alternatives are:</p> <div class="i1">- Piped water, inside or outside<br />- Well/borehole, protected<br />- Well/borehole, unprotected<br />- River/stream/dam<br />- Rain water from tank/jar<br />- Other</div><p>If the main source of water varies during the year, record the source that supplies the largest quantity of water. Laos 1995: All households This variable indicates the main source of water for drinking and cooking. 1 Piped water in, outside 2 Well/borehold, protected 3 Well/borehold, unprotected 4 River, stream, or dam 5 Rain water from tank or jar 6 Other 9 Unknown Utilities Variables -- HOUSEHOLD Distance to water source <span class="h3">G. Housing characteristics </span><div class="i1">Distance to water source?</div><div class="i2">[] 1 On premises<br />[] 2 Less than 500 m<br />[] 3 Between 500 m and 1 km<br />[] 4 More than 1 km</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 24: Water for drinking and cooking</span> <br />The question asks for information on:</p> <div class="i1">- main water source<br />- distance to that water source<br />- indirectly also whether water source is safe or not</div><p>The response alternatives are:</p> <div class="i1">- Piped water, inside or outside<br />- Well/borehole, protected<br />- Well/borehole, unprotected<br />- River/stream/dam<br />- Rain water from tank/jar<br />- Other</div><p>If the main source of water varies during the year, record the source that supplies the largest quantity of water. Laos 1995: All households This variable indicates the distance to water source. 1 On premises 2 Less than 500 m 3 Between 500 m and 1 km 4 More than 1 km 9 Unknown Utilities Variables -- HOUSEHOLD Type of toilet facility mainly used by household <span class="h3">G. Housing characteristics </span></p> <p>25. What type of toilet facility is mainly used by this household?</p> <div class="i1">[] 1 Modern toilet<br />[] 2 Normal toilet<br />[] 3 Dry toilet<br />[] 4 Other<br />[] 5 None</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 25: What type of toilet facility is mainly used by this household?</span> <br />This information can be used in obtaining a measure of sanitation level of the household since these facilities are important for disease control and health improvement. Please note that it is access to a toilet facility which is referred to here and not the ownership.</p> <p>The response alternatives are:</p> <div class="i1">1. Modern toilet: constructed according to the standards of toilet construction and has a filter system (better definition needed?)<br />2. Normal toilet: a tank inserted into a pit, with a toilet seat<br />3. Dry toilet: does not have toilet seat, with a pit dug in the ground and planks of wood at the floor and wall<br />4. Other types<br />5. None</div> Laos 1995: All households This variable indicates the type of toilet facility mainly used by household. 1 Modern toilet 2 Normal toilet 3 Dry toilet 4 Other 5 None 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main source of energy for cooking <span class="h3">G. Housing characteristics </span></p> <p>26. What is the household's main source of energy for cooking?</p> <div class="i1">[] 1 Electricity<br />[] 2 Paraffin<br />[] 3 Wood<br />[] 4 Coal<br />[] 5 Charcoal<br />[] 6 Sawdust<br />[] 7 Gas<br />[] 8 Other</div> <span class="h3">Section G: Housing characteristics</span> <br />Responses to questions 20 to 22 and 24 to 26 are pre-coded. Circle the correct response. Write a "9" for not known.</p> <p><span class="em">Question 26: What is the household's main source of energy and cooking?</span> <br />This refers to type of energy most often used during the year.</p> <p>If the household uses electricity, check if the dwelling is electrified. Laos 1995: All households This variable indicates the main source of energy for cooking. 1 Electricity 2 Paraffin 3 Wood 4 Coal 5 Charcoal 6 Sawdust 7 Gas 8 Other 9 Unknown Utilities Variables -- HOUSEHOLD Household weight Laos 1995: All households This variable indicates the household weight. 10 10 Technical Household 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 Number of children dead CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. 00 None 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+ 98 Unknown/missing 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children dead CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form. 00 None 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children dead CHDEADMALE indicates the number of male children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form. 00 None 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children in household HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children in household HOMEFEM indicates the number of female children born living in the household with their mother (the respondent). 00 None 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 17 17 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children in household HOMEMALE indicates the number of male children born living in the household with their mother (the respondent). 00 None 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children living elsewhere AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. 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 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living elsewhere AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent). 00 None 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children living elsewhere AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent). 00 None 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 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 Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's country of citizenship. 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, 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/United Arab Rep. 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 15030 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 15150 Senegal 15160 Sierra Leone 15170 Togo 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 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 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 24021 Canada, First Nations 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 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 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 33991 Laos and Cambodia 33992 Malaysia and Singapore 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 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 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 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 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 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 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 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 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. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, Laos BPLLA indicates the province in Laos in which the person was born. For information of districts of birth, see BPLLA2 01 Vientiane Capital 02 Phongsaly 03 Luangnamtha 04 Oudomxay 05 Bokeo 06 Luangprabang 07 Huaphanh 08 Xayaboury 09 Xiengkhuang 10 Vientiane Province 11 Borikhamxay 12 Khammuane 13 Savanakhet 14 Saravane 15 Sekong 16 Champasack 17 Attapeu 18 Xaysomboune 90 Foreign country 98 Unknown Nativity and Birthplace Variables -- PERSON District of birth, Laos BPLLA2 indicates the district in Laos in which the person was born. For information of provinces of birth, see BPLLA 0101 Chanthabuly 0102 Sikhottabong 0103 Xaysetha 0104 Sisattanak 0105 Naxaithong 0106 Xaythany 0107 Hadxaifong 0108 Sangthong 0109 Pakngum 0199 Vientiane Capital, district unknown 0201 Phongsaly 0202 May 0203 Khua 0204 Samphanh 0205 Boon Neua 0206 Nhot Ou 0207 Boon Tai 0299 Phongsaly, district unknown 0301 Namtha 0302 Sing 0303 Long 0304 Viengphoukha 0305 Nalae 0399 Luangnamtha, district unknown 0401 Xay 0402 La 0403 Namor 0404 Nga 0405 Beng 0406 Hoon 0407 Pakbeng 0499 Oudomxay, district unknown 0501 Huoixai 0502 Tonpheung 0503 Meung 0504 Pha Oudom 0505 Paktha 0599 Bokeo, district unknown 0601 Lunagprabang 0602 Xieng Ngeun 0603 Nan 0604 Pak Ou 0605 Nambak 0606 Ngoi 0607 Pak Xeng 0608 Phonxay 0609 Chomphet 0610 Viengkham 0611 Phoukhoune 0612 Phonthong 0699 Luangprabang, district unknown 0701 Xamneua 0702 Xiengkhor 0703 Xon 0704 Viengxay 0705 Huameuang 0706 Xamtay 0707 Sopbao 0708 Muang Et 0709 Kuan 0710 Hiem 0711 Viengthong 0799 Huaphanh, district unknown 0801 Xayabury 0802 Khop 0803 Hongsa 0804 Ngeun 0805 Xienghone 0806 Phiang 0807 Paklai 0808 Kenethao 0809 Botene 0810 Thongmyxay 0811 Xaysathan 0899 Xayaboury, district unknown 0901 Pek 0902 Kham 0903 Nonghed 0904 Khoune 0905 Mork 0906 Phookood 0907 Phaxay 0999 Xienkhuang, district uknown 1001 Phonhong 1002 Thoulakhom 1003 Keo Oudom 1004 Kasy 1005 Vangvieng 1006 Feuang 1007 Xanakharm 1008 Mad 1009 Viengkham 1010 Hinherb 1011 Meun 1099 Vientiane Province, district unknown 1101 Pakxane 1102 Thaphabath 1103 Pakkading 1104 Bolikhanh 1105 Khamkeuth 1106 Viengthong 1107 Xaychamphone 1199 Borikhamxay, district unknown 1201 Thakhek 1202 Mahaxay 1203 Nongbok 1204 Hinboon 1205 Nhommalath 1206 Bualapha 1207 Nakay 1208 Xebangfay 1209 Xaybuathong 1210 Khounkham 1299 Khammuane, district unknown 1301 Kaysone Phomvihane 1302 Outhoophone 1303 Atsaphangthong 1304 Phine 1305 Sepone 1306 Nong 1307 Thapangthong 1308 Phalanxay 1309 Songkhone 1310 Champhone 1311 Xonbuly 1312 Xaybuly 1313 Vilabuly 1314 Atsaphone 1315 Xayphoothong 1399 Savanakhet, district unknown 1401 Saravane 1402 Ta Oi 1403 Toomlarn 1404 Lakhonepheng 1405 Vapy 1406 Khongxedone 1407 Lao Ngarm 1408 Samuoi 1499 Saravane, district unknown 1501 Lamarm 1502 Kaleum 1503 Dakcheung 1504 Thateng 1599 Sekong, district unknown 1601 Pakse 1602 Sanasomboon 1603 Bachiangchaleunsook 1604 Pakxong 1605 Pathoomphone 1606 Phonthong 1607 Champasack 1608 Sukhuma 1609 Moonlapamok 1610 Khong 1699 Champasack, district unknown 1701 Xaysetha 1702 Samakkhixay 1703 Sanamxay 1704 Sanxay 1705 Phouvong 1799 Attapeu, district unknown 1801 Anouvong 1802 Thathom 1803 Longchaeng 1804 Hom 1805 Longsan 1806 Xaysomboon 1807 Phoun 1899 Xaysomboune, district unknown 9997 Abroad 9998 Unknown 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 Ethnicity, Laos ETHNICLA indicates a person's ethnic group within Laos. 01 Lao 02 Tai 03 Phouthay 04 Lue 05 Ngoaun 06 Yang 07 Xaek 08 Thaineau 09 Kuemmeu 10 Pray 11 Xingmoun 12 Phong 13 Thaen 14 Oedou 15 Bid 16 Lamed 17 Samtao 18 Katang 19 Makong 20 Tri 21 Yrou 22 Trieng 23 Ta-oy 24 Yae 25 Brao 26 Katu 27 Harak 28 Oy 29 Griang 30 Cheng 31 Sadang 32 Xuay 33 Ngaheun 34 Lavy 35 Pacoh 36 Khmer 37 Toum 38 Guan 39 Moy 40 Kree 41 Hmong 42 Ewmien 43 Akha 44 Pounoy 45 Lahou 46 Syla 47 Hayi 48 Lolo 49 Hor 50 Nhahem 51 Yao 52 Sida 53 Nhuane 54 Jeng 55 Laven 56 Kui 57 Khir 58 Lavae 59 Ngae 60 Kor 61 Musir 62 Talieng 63 Other, Lao-Thai 64 Other, Mon-Khmer 65 Other, China-Tibet 66 Other, not-specified 97 No ethnicity 98 Unknown 99 NIU (not in universe) 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, Laos EDUCLA indicates the person's educational attainment in Laos in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 200 Primary education 201 Primary, grade 1 202 Primary, grade 2 203 Primary, grade 3 204 Primary, grade 4 205 Primary, grade 5 206 Primary, grade 6 300 Secondary 310 Lower secondary 311 Lower secondary, grade 1 312 Lower secondary, grade 2 313 Lower secondary, grade 3 314 Lower secondary, grade 4 330 Upper secondary 331 Upper secondary, grade 1 332 Upper secondary, grade 2 333 Upper secondary, grade 3 400 Vocational 410 Vocational training, first level 420 Vocational training, middle level 500 Tertiary 510 High level or university 511 Vocational training, high level 512 University 520 Post-graduate 521 Post-graduate, masters 522 Higher than post-graduate 900 Others 999 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, 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 Migration status, last census MIGRATEC indicates the person's place of residence at the time of the previous census. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 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 Unknown Migration: Global Variables -- PERSON Country of residence 10 years ago MIGCTRY0 indicates the person's country of residence 10 years ago. Persons who did not live abroad ten years prior to the census are coded as non-migrants. 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, Bangladesh, Sri Lanka 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) 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 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34192 Other Arab countries 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 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 49999 Europe, n.s. 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, unspecified or unclassifiable 90000 Non-migrants (International) 99998 Response suppressed 99999 UNKNOWN Migration: Global Variables -- PERSON 1st subnational geographic level of residence 10 years prior to survey, world [consistent boundaries over time] GEOMIG1_10 indicates the major administrative unit in which the person resided ten years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence ten year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_10 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_5. More on migration and geography can be found here. 368001 In residential place of birth [Governorate: Iraq] 368002 In current governate [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] 368099 NIU (not in universe) [Governorate: Iraq] 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] 426001 Butha Buthe [District: Lesotho] 426002 Leribe [District: Lesotho] 426003 Berea [District: Lesotho] 426004 Maseru [District: Lesotho] 426005 Mafeteng [District: Lesotho] 426006 Mohale's Hoek [District: Lesotho] 426007 Quthing [District: Lesotho] 426008 Qacha's Nek [District: Lesotho] 426009 Mokhotlong [District: Lesotho] 426010 Thaba-Tseka [District: Lesotho] 426097 Abroad [District: Lesotho] 426099 NIU [District: Lesotho] 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] 608009 Batanes [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] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 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] 724090 Other Spanish territories in 1970 [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724098 Unknown [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 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] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 716000 Bulawayo [Province: Zimbabwe] 716001 Manicaland [Province: Zimbabwe] 716002 Mashonaland Central [Province: Zimbabwe] 716003 Mashonaland East [Province: Zimbabwe] 716004 Mashonaland West [Province: Zimbabwe] 716005 Matabeleland North [Province: Zimbabwe] 716006 Matabeleland South [Province: Zimbabwe] 716007 Midlands [Province: Zimbabwe] 716008 Masvingo [Province: Zimbabwe] 716009 Harare [Province: Zimbabwe] 716097 Abroad [Province: Zimbabwe] 716098 Unknown [Province: Zimbabwe] 716099 NIU (Not in universe) [Province: Zimbabwe] Migration: Global Variables -- PERSON Province of residence 10 years ago, Laos; consistent boundaries, GIS MIG1_10_LA indicates the person's province of residence ten years ago in Laos. Migration province codes from MIG1_10_LA are compatible with codes from GEO1_LA. 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. 418001 Vientiane Capital 418002 Phongsaly 418003 Luangnamtha 418004 Oudomxay 418005 Bokeo 418006 Luangprabang 418007 Huaphanh 418008 Xayaboury 418009 Xienkhuang 418010 Vientiane Province 418011 Borikhamxay 418012 Khammuane 418013 Savanakhet 418014 Saravane 418015 Sekong 418016 Champasack 418017 Attapeu 418018 Xaysomboune 418097 Foreign Country 418098 Unknown 418099 NIU Migration: F-N Variables -- PERSON District of residence 10 years ago, Laos; consistent boundaries, GIS MIG2_10_LA indicates the person's district of residence, 10 years ago within Laos. Migration district codes for MIG2_10_LA are compatible with codes for GEO2_LA. 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. 418001001 Xaythany 418001002 Sikhottabong 418001003 Xaysetha 418001004 Hadxaifong 418001005 Naxaithong 418001006 Chanthabuly 418001007 Sisattanak 418001008 Pakngum 418001009 Sangthong 418001098 Vientiane Capital province, unknown district 418002001 Nhot Ou 418002002 May 418002003 Khua 418002004 Samphanh 418002005 Boon Tai 418002006 Phongsaly 418002007 Boon Neua 418002098 Phongsaly province, unknown district 418003001 Namtha 418003002 Sing 418003003 Long 418003004 Viengphoukha 418003005 Nalae 418003098 Louangnamtha province, unknown district 418004001 Xay 418004002 Hoon 418004003 La, Namor 418004004 Beng 418004005 Nga 418004006 Pakbeng 418004098 Oudomxai province, unknown district 418005001 Huoixai 418005002 Paktha, Pha Oudom 418005003 Meung, Tonpheung 418005098 Bokeo province, unknown district 418006001 Louangprabang 418006002 Ngoi, Viengkham, Phonthong 418006003 Nambak 418006004 Xieng Ngeun 418006005 Phonxay 418006006 Chomphet 418006007 Nan 418006008 Park Ou 418006009 Phoukhoune 418006010 Pak Xeng 418006098 Louangprabang province, unknown district 418007001 Muang Et, Sopbao, Xiengkhor 418007002 Xamtay, Kuan 418007003 Xamneua 418007004 Huameuang 418007005 Viengxay 418007006 Hiem, Xon 418007098 Houaphan province, unknown district 418008001 Xayabury, Xaysathan 418008002 Paklai, Thongmyxay 418008003 Botene, Kenethao 418008004 Phiang 418008005 Hongsa, Ngeun 418008006 Xienghone 418008007 Khop 418008098 Xaignabouly province, unknown district 418009001 Pek 418009002 Khoune, Mork, Phaxay 418009003 Kham 418009004 Nonghed 418009005 Phookood 418009098 Xiengkhouoang province, unknown district 418010001 Feuang, Hinherb, Mad 418010002 Phonhong, Viengkham 418010003 Xanakharm, Meun 418010004 Keo Oudom, Vangvieng 418010005 Thoulakhom 418010006 Kasy 418010098 Vientiane province, unknown district 418011001 Khamkeuth, Xaychamphone 418011002 Pakkading 418011003 Bolikhanh 418011004 Pakxane 418011005 Viengthong 418011006 Thaphabath 418011098 Bolikhamxai province, unknown district 418012001 Thakhek 418012002 Hinboon, Khounkham 418012003 Nongbok 418012004 Mahaxay 418012005 Nhommalath 418012006 Bualapha 418012007 Xebangfay 418012008 Xaybuathong 418012009 Nakay 418012098 Khammouane province, unknown district 418013001 Kaysone Phomvihane, Xayphoothong 418013002 Champhone 418013003 Songkhone 418013004 Outhoomphone 418013005 Atsaphangthong, Phalanxay 418013006 Phine 418013007 Xonbuly 418013008 Xaybuly 418013009 Atsaphone 418013010 Sepone 418013011 Thapangthong 418013012 Vilabuly 418013013 Nong 418013098 Savanakhet province, unknown district 418014001 Saravane 418014002 Lao Ngarm 418014003 Khongxedone 418014004 Lakhonepheng 418014005 Samuoi, Ta Oi 418014006 Vapy 418014007 Toomlarn 418014098 Salavan province, unknown district 418015001 Dakcheung, Kaleum 418015002 Thateng 418015003 Lamarm 418015098 Xekong province, unknown district 418016001 Phonthong 418016002 Khong 418016003 Paksxong 418016004 Pakse 418016005 Sanasomboon 418016006 Champasack 418016007 Pathoomphone 418016008 Bachiangchaleunsook 418016009 Sukhuma 418016010 Moonlapamok 418016098 Champasack province, unknown district 418017001 Samakkhixay 418017002 Phouvong, Sanxay 418017003 Sanamxay 418017004 Xaysetha 418017098 Attapeu province, unknown district 418018001 Longchaeng, Anouvong, Longsan 418018002 Hom, Thathom 418018098 Xaisomboun province, unknown district 418097097 Abroad 418098098 Unknown 418099099 NIU Migration: F-N Variables -- PERSON Person number (within household) Laos 1995: All records This variable indicates the person number (within 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 Household type <span class="h3">7.3 Two household types: Private and collective households</span> <br />The distinction between a private and a collective household is sometimes very difficult to make. Private households can sometimes also be found at the premises of an otherwise collective household.</p> <p><span class="em">Private households</span> <br />The households in your enumeration area will mostly be private households. They can be single person or multi-person households.</p> <p>A single-person household comprises of one person living in a part or the whole of the dwelling unit, arranging for food and other life necessities on his own without joining other persons and possessing his own civil registration book.</p> <p>A multi-person household comprises of two or more persons living in a part or the whole dwelling unit, and who together arrange for food and other life necessities and share a common registration book.</p> <p><span class="em">Collective households</span> <br />Occasionally, a collective household will however be found. Collective households would consist of accommodation units of an enterprise, factory, school, temple, hospital, etc. Examples of collective households are KM 62 Orphanage House, Middle Level Medical School hostel, Dongdok University hostel, a temple where the monks live. The pre- conditions for being enumerated in the collective household are;</p> <div class="i1">- that s/he is to be registered in your enumeration area (see also page 13)<br />- that the persons must be registered under the common registration book for the collective household;</div><p>Otherwise, the persons found in the collective household are to be enumerated in their respective private households.</p> <p>Although tied accommodation and collective households might look similar, a clear distinction must be made between the two. In tied accommodation occupants usually live in private households and maintain separate registration books, which is not the case in a collective household. Laos 1995: All persons This variable indicates the household type. 1 Private 2 Collective Other Person Variables -- PERSON Relationship to head of household <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>2. What is [the respondent's] relationship to head of household?</p> <div class="i1">[] 1 Head<br />[] 2 Spouse<br />[] 3 Son/daughter<br />[] 4 Parent<br />[] 5 Other relative<br />[] 6 Not related</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 2: What is [the respondent's] relationship to the head of household?</span> <br />The purpose of this question is to collect information on the composition of the household.</p> <p>Circle the appropriate answer. Adopted children and step-children to the head of household will be recorded under "Son/Daughter". Nieces, nephews, grandsons will be included under the "Other relative" category.</p> <p>These not related to the head of household by blood or marriage will be recorded as "Not related". Where several persons who are not related by blood or marriage constitute a private household, code one of them as a head and the rest as "not related". Laos 1995: Persons in private households [discrepancies: none] This variable indicates the relationship to head of household. 1 Head 2 Spouse 3 Son or daughter 4 Parent 5 Other relative 6 Not related 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Sex <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>3. Is [the respondent] male or female?</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 3: Is [the respondent] male or female?</span> <br />Sex is one of the most important questions as much analysis of data depends on respondent's sex. It also determines whether certain questions are to be answered or not. Circle the correct response, i.e. either "1" for male or "2" for female.</p> <p>If the person is around, you can observe the gender without necessarily asking the question, but avoid inferring the gender of the person from names as there are names used by both genders. In case the name is preceded by title, namely "Thao" and "Nang", sex of respondent can readily be determined. Laos 1995: All persons This variable indicates the sex of the person. 1 Male 2 Female Demographic Variables -- PERSON Age <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>4. How old was [the respondent] at his/her last birthday?</p> <div class="i1">Enter age in completed years ____<br /><br />Write:</div><div class="i2">"0" for children aged less than a year<br />Actual age for other respondents</div><div class="i1">Table for conversion of lunar year to calendar year and table for calculation of ages are provided in the enumerator's manual.</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 4: How old was [the respondent] at his/her last birthday?</span> <br />Age is one of the most important questions as much analysis of data depends on respondent's age, for example, fertility rates are calculated by age of woman etc. Age also determines whether certain questions are to be answered or not. Be careful not to round ages up to the next birthday.</p> <p>Entries should be made in completed years as follows:</p> <div class="i1">- "0" for children aged less than a year<br />- actual age in completed years for other respondents, e.g., 8 years and three months is recorded as "8"<br />- "999" for not known (very limited cases)</div><p>If the age is not known, probe to try to estimate age. This is time-consuming and sometimes tedious. But it is important to take time to try to get the best possible information. There are several ways which can be used to probe for age:</p> <p>You may use the calendar of events found in Appendix 3 to improve the reporting of age data. A person's age can sometimes be better assessed in relation to events which he/she can recall or which occurred near to his/her birthday. The age of the person's relatives is sometimes a useful indicator.'</p> <p>If probing does not help, you may have to estimate the age as a last resort when all other efforts failed. The use of the code "999" (viz. not known) is for rare cases.</p> <p>In case the respondent knows the year when he/she was born only in Lao year or lunar calendar, or he/she gives date of birth in solar calendar, you must refer to tables for age conversion in the Appendix 4 of this manual. Laos 1995: All persons This variable indicates the age of the person. 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+ years 999 Unknown Demographic Variables -- PERSON Country of birth <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>5. Where was [the respondent] born?</p> <div class="i1">Enter district or country code _ _ _ _</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 5: Where was [the respondent] born?</span> <br />The purpose of this question is to get a measure of "life-time" migration.</p> <p>Birth place refers to the place where the birth actually occurred. For those born in Lao P.D.R, enter the code referring to the relevant province/district and for those born outside Lao P.D.R, the code of country of birth.</p> <p>A list of the districts and countries is shown in Appendix 2 and at the back of each questionnaire. For not known use code "9999". Laos 1995: All persons This variable indicates the country of birth. 00 Laos 01 Cambodia 02 China People's Republic 03 Myanmar 04 Thailand 05 Vietnam 11 Other countries 98 Unknown Nativity and Birthplace Variables -- PERSON Province of birth <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>5. Where was [the respondent] born?</p> <div class="i1">Enter district or country code _ _ _ _</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 5: Where was [the respondent] born?</span> <br />The purpose of this question is to get a measure of "life-time" migration.</p> <p>Birth place refers to the place where the birth actually occurred. For those born in Lao P.D.R, enter the code referring to the relevant province/district and for those born outside Lao P.D.R, the code of country of birth.</p> <p>A list of the districts and countries is shown in Appendix 2 and at the back of each questionnaire. For not known use code "9999". Laos 1995: All persons This variable indicates the province of birth. 01 Vientiane municipality 02 Phongsaly 03 Luangnamtha 04 Oudomxay 05 Bokeo 06 Luangprabang 07 Huaphanh 08 Xayaboury 09 Xiengkhuang 10 Vientiane 11 Borikhamxay 12 Khammuane 13 Savannakhet 14 Saravane 15 Sekong 16 Champasack 17 Attapeu 18 Xaysomboon Special Reg. 97 Abroad 99 Unknown Nativity and Birthplace Variables -- PERSON District of birth <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>5. Where was [the respondent] born?</p> <div class="i1">Enter district or country code _ _ _ _</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 5: Where was [the respondent] born?</span> <br />The purpose of this question is to get a measure of "life-time" migration.</p> <p>Birth place refers to the place where the birth actually occurred. For those born in Lao P.D.R, enter the code referring to the relevant province/district and for those born outside Lao P.D.R, the code of country of birth.</p> <p>A list of the districts and countries is shown in Appendix 2 and at the back of each questionnaire. For not known use code "9999". Laos 1995: All persons This variable indicates the district of birth. 0101 Chanthabuly 0102 Sikhottabong 0103 Xaysettha 0104 Sisattanak 0105 Naxaithong 0106 Xaythany 0107 Hadxaifong 0108 Sangthong 0109 Parkngum 0201 Phongsaly 0202 Mai 0203 Khua 0204 Sumphanh 0205 Boon Neua 0206 Nhot Ou 0207 Boon Tai 0299 Phongsaly province, unknown district 0301 Namtha 0302 Sing 0303 Long 0304 Viengphoukha 0305 Nalae 0399 Luangnamtha province, unknown district 0401 Xay 0402 La 0403 Namor 0404 Nga 0405 Beng 0406 Hoon 0407 Pakbeng 0499 Oudomxay province, unknown district 0501 Huoixai 0502 Tonpheung 0503 Meung 0504 Pha oudom 0505 Paktha 0599 Bokeo province, unknown district 0601 Luangprabang 0602 Xiengngeun 0603 Nan 0604 Pak Ou 0605 Nambak 0606 Ngoi 0607 Pak Xeng 0608 Phonxay 0609 Chomphet 0610 Viengkham 0611 Phoukhoune 0701 Xumneua 0702 Xiengkhor 0703 Viengthong 0704 Viengxay 0705 Huameuang 0706 Xumtai 0799 Huaphanh province, unknown district 0801 Xayabuly 0802 Khop 0803 Hongsa 0804 Ngeun 0805 Xienghone 0806 Phiang 0807 Paklai 0808 Kenethao 0809 Bortene 0899 Xayaboury province, unknown district 0901 Pek 0902 Kham 0903 Nonghed 0904 Khoune 0905 Morkmai 0906 Phookood 0907 Phaxay 0999 Xiengkhuang province, unknown district 1001 Phonhong 1002 Thoulakhom 1003 Keo Oudom 1004 Kasy 1005 Vangvieng 1006 Feuang 1007 Xanakharm 1099 Vientiane province, unknown district 1101 Pakxanh 1102 Thaphabath 1103 Pakkading 1104 Borlikhanh 1105 Khamkheuth 1106 Viengthong 1201 Thakhek 1202 Mahaxay 1203 Nongbok 1204 Hinboon 1205 Nhommalath 1206 Buolapha 1207 Nakai 1208 Xebangfay 1209 Xaybuathong 1301 Khanthabouly 1302 Outhoomphone 1303 Atsaphangthong 1304 Phine 1305 Sepone 1306 Nong 1307 Thapangthong 1308 Songkhone 1309 Champhone 1310 Xonnabuly 1311 Xaybuly 1312 Vilabuly 1313 Atsaphone 1399 Savannakhet province, unknown district 1401 Saravane 1402 Ta Oi 1403 Toomlarn 1404 Lakhonepheng 1405 Vapy 1406 Khongxedone 1407 Lao ngarm 1408 Samuoi 1501 Lamarm 1502 Kaleum 1503 Dakcheung 1504 Thateng 1601 Pakse 1602 Sanasomboon 1603 Bachiangchaleunsook 1604 Pakxong 1605 Pathoomphone 1606 Phonthong 1607 Champasack 1608 Sukhumma 1609 Moonlapamok 1610 Khong 1699 Champasack province, unknown district 1701 Xaysettha 1702 Samakkhixay 1703 Sanamxay 1704 Sanxay 1705 Phouvong 1801 Xaysomboon 1802 Thathom 1803 Hom 1804 Longsane 1805 Phoun 1899 Xaysomboon special reg., unknown district 9997 Abroad 9999 Unknown Nativity and Birthplace Variables -- PERSON Country of residence in March 1985 <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>6. Where was [the respondent] living at last census in March 1985?</p> <div class="i1">Enter district or country code _ _ _ _</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 6: Where was [the respondent] living at last census in March 1985?</span> <br />The purpose of this question is to get a measure of "inter-censal" migration.</p> <p>Enter Province/District code if the person was living in Lao P.D.R. in March 1985, otherwise the country code. A list of the districts and countries is shown in Appendix 2 and at the back of each questionnaire.</p> <p>For children below the age of ten, record N/A. For not known, use code "9999". Laos 1995: Persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the country of residence in March 1985. 00 Laos 01 Cambodia 02 China People's Republic 03 Myanmar 04 Thailand 05 Vietnam 07 European countries 11 Other countries 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of residence in March 1985 <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>6. Where was [the respondent] living at last census in March 1985?</p> <div class="i1">Enter district or country code _ _ _ _</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 6: Where was [the respondent] living at last census in March 1985?</span> <br />The purpose of this question is to get a measure of "inter-censal" migration.</p> <p>Enter Province/District code if the person was living in Lao P.D.R. in March 1985, otherwise the country code. A list of the districts and countries is shown in Appendix 2 and at the back of each questionnaire.</p> <p>For children below the age of ten, record N/A. For not known, use code "9999". Laos 1995: Persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the province of residence in March 1985. 01 Vientiane municipality 02 Phongsaly 03 Luangnamtha 04 Oudomxay 05 Bokeo 06 Luangprabang 07 Huaphanh 08 Xayaboury 09 Xiengkhuang 10 Vientiane 11 Borikhamxay 12 Khammuane 13 Savannakhet 14 Saravane 15 Sekong 16 Champasack 17 Attapeu 18 Xaysomboon Special Reg. 97 Abroad 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON District of residence in March 1985 <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>6. Where was [the respondent] living at last census in March 1985?</p> <div class="i1">Enter district or country code _ _ _ _</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 6: Where was [the respondent] living at last census in March 1985?</span> <br />The purpose of this question is to get a measure of "inter-censal" migration.</p> <p>Enter Province/District code if the person was living in Lao P.D.R. in March 1985, otherwise the country code. A list of the districts and countries is shown in Appendix 2 and at the back of each questionnaire.</p> <p>For children below the age of ten, record N/A. For not known, use code "9999". Laos 1995: Persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the district of residence in March 1985. 0101 Chanthabuly 0102 Sikhottabong 0103 Xaysettha 0104 Sisattanak 0105 Naxaithong 0106 Xaythany 0107 Hadxaifong 0108 Sangthong 0109 Parkngum 0199 Vientiane municipality, unknown district 0201 Phongsaly 0202 Mai 0203 Khua 0204 Sumphanh 0205 Boon Neua 0206 Nhot Ou 0207 Boon Tai 0301 Namtha 0302 Sing 0303 Long 0304 Viengphoukha 0305 Nalae 0399 Luangnamtha province, unknown district 0401 Xay 0402 La 0403 Namor 0404 Nga 0405 Beng 0406 Hoon 0407 Pakbeng 0501 Huoixai 0502 Tonpheung 0503 Meung 0504 Pha oudom 0505 Paktha 0599 Bokeo province, unknown district 0601 Luangprabang 0602 Xiengngeun 0603 Nan 0604 Pak Ou 0605 Nambak 0606 Ngoi 0607 Pak Xeng 0608 Phonxay 0609 Chomphet 0610 Viengkham 0611 Phoukhoune 0699 Luangprabang province, unknown district 0701 Xumneua 0702 Xiengkhor 0703 Viengthong 0704 Viengxay 0705 Huameuang 0706 Xumtai 0801 Xayabuly 0802 Khop 0803 Hongsa 0804 Ngeun 0805 Xienghone 0806 Phiang 0807 Paklai 0808 Kenethao 0809 Bortene 0901 Pek 0902 Kham 0903 Nonghed 0904 Khoune 0905 Morkmai 0906 Phookood 0907 Phaxay 1001 Phonhong 1002 Thoulakhom 1003 Keo Oudom 1004 Kasy 1005 Vangvieng 1006 Feuang 1007 Xanakharm 1099 Vientiane province, unknown district 1101 Pakxanh 1102 Thaphabath 1103 Pakkading 1104 Borlikhanh 1105 Khamkheuth 1106 Viengthong 1201 Thakhek 1202 Mahaxay 1203 Nongbok 1204 Hinboon 1205 Nhommalath 1206 Buolapha 1207 Nakai 1208 Xebangfay 1209 Xaybuathong 1301 Khanthabouly 1302 Outhoomphone 1303 Atsaphangthong 1304 Phine 1305 Sepone 1306 Nong 1307 Thapangthong 1308 Songkhone 1309 Champhone 1310 Xonnabuly 1311 Xaybuly 1312 Vilabuly 1313 Atsaphone 1401 Saravane 1402 Ta Oi 1403 Toomlarn 1404 Lakhonepheng 1405 Vapy 1406 Khongxedone 1407 Lao ngarm 1408 Samuoi 1501 Lamarm 1502 Kaleum 1503 Dakcheung 1504 Thateng 1601 Pakse 1602 Sanasomboon 1603 Bachiangchaleunsook 1604 Pakxong 1605 Pathoomphone 1606 Phonthong 1607 Champasack 1608 Sukhumma 1609 Moonlapamok 1610 Khong 1699 Champasack province, unknown district 1701 Xaysettha 1702 Samakkhixay 1703 Sanamxay 1704 Sanxay 1705 Phouvong 000* Xaysomboon Special Reg. 1801 Xaysomboon 1802 Thathom 1803 Hom 1804 Longsane 1805 Phoun 1899 Xaysomboon special reg., unknown district 9997 Abroad 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Citizenship <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>7. What is [the respondent's] citizenship?</p> <div class="i1">Enter code from code list:<br /><br />[] 00 Laos<br />[] 01 Cambodia<br />[] 02 China P.R.<br />[] 03 Myanmar<br />[] 04 Thailand<br />[] 05 Vietnam<br />[] 06 Other Asian Countries<br />[] 07 European Countries<br />[] 08 African Countries<br />[] 09 American Countries<br />[] 10 Australia<br />[] 11 Other Countries</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 7: What is [the respondent's] citizenship?</span> <br />Do not deduce someone's citizenship from the language an individual speaks or his/her country of birth. Record what the respondent tells you.</p> <p>A list of the country codes for citizenship is shown in Appendix 2 and at the back of each questionnaire. For not known, use code "99". Laos 1995: All persons This variable indicates the citizenship. 00 Laos 01 Cambodia 02 China People's Republic 03 Myanmar 04 Thailand 05 Vietnam 11 Other countries 99 Unknown Nativity and Birthplace Variables -- PERSON Ethnic origin <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>8. If code "000" in Question 7, what is [the respondent's] ethnic origin?</p> <div class="i1">[Question 8 was asked of persons whose citizenship belongs to Laos PDR.]<br /><br />Remarks: There are the codes for major ethnic groups only, in case the response is given as the name of minority tribe, refer to the classification list provided in the Enumerator's Manual. Code "48" is for tribe that cannot be classified elsewhere.<br /><br />Enter code from code list:<br /><br />[] 01 Lao<br />[] 02 Phutai<br />[] 03 Khmu<br />[] 04 Hmong<br />[] 05 Leu<br />[] 06 Katang<br />[] 07 Makong<br />[] 08 Kor<br />[] 09 Xuay<br />[] 10 Nhuane<br />[] 11 Laven<br />[] 12 Taoey<br />[] 13 Talieng<br />[] 14 Phounoy<br />[] 15 Tri<br />[] 16 Phong<br />[] 17 Yao<br />[] 18 Lavae<br />[] 19 Katu<br />[] 20 Lamed<br />[] 21 Thin<br />[] 22 Alack<br />[] 23 Pako<br />[] 24 Oey<br />[] 25 Ngae<br />[] 26 Musir<br />[] 27 Kui<br />[] 28 Hor<br />[] 29 Jeng<br />[] 30 Nhahem<br />[] 31 Yang<br />[] 32 Yae<br />[] 33 Xaek<br />[] 34 Samtao<br />[] 35 Sida<br />[] 36 Xingmoon<br />[] 37 Toum<br />[] 38 Mone<br />[] 39 Bid<br />[] 40 Nguane<br />[] 41 Lolo<br />[] 42 Hayi<br />[] 43 Sadang<br />[] 44 Lavy<br />[] 45 Kmer<br />[] 46 Khir<br />[] 47 Kree<br />[] 48 Others<br />[] 99 Not Stated</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 8: What is [the respondent's] ethnic origin?</span> <br />The purpose of this question is to establish the respondent's ethnic origin if a Laotian citizen. Ethnic origin for persons from other countries is of little interest and is not to be collected at all.</p> <p>This question is just for Lao citizens, that is when the answer to question 7 is "00". For all other citizenships in question 7, record "N/A" in question 8.</p> <p>A list of the codes for ethnicity (47 different codes) for Lao citizens is shown in Appendix X <br />and at the back of each questionnaire. For "not known", use code "99".</p> <p>Record what the respondent tells you. In some cases you may have to probe culture, religion, and traditions. If the respondent comes up with an ethnic origin that cannot be coded with one of the 47 codes, probe if the answer is a sub-group to one of the pre-coded alternatives. If there is a local "ethnic representative", contact him/her. If ethnic origin remains unclear after probing, enter code "48" and take down the response in the comments box on the questionnaire. Laos 1995: Persons who are Laotian citizens [discrepancies: type I none; type II trace] This variable indicates the ethnic origin of the person. 01 Lao 02 Phutai 03 Khmu 04 Hmong 05 Leu 06 Katang 07 Makong 08 Kor 09 Xuay 10 Nhuane 11 Laven 12 Taoey 13 Talieng 14 Phounoy 15 Tri 16 Phong 17 Yao 18 Lavae 19 Katu 20 Lamed 21 Thin 22 Alack 23 Pako 24 Oey 25 Ngae 26 Musir 27 Kui 28 Hor 29 Jeng 30 Nhahem 31 Yang 32 Yae 33 Xaek 34 Samtao 35 Sida 36 Xingmoon 37 Toum 39 Bid 40 Nguane 41 Lolo 42 Hayi 43 Sadang 44 Lavy 45 Kmer 46 Khir 47 Kree 48 Others 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Marital status <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>9. What is [the respondent's] marital status?</p> <div class="i1">[] 1 Never married<br />[] 2 Married<br />[] 3 Divorced/separated<br />[] 4 Widowed</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 9: What is [the respondent's] marital status?</span> <br />People who live together as husband and wife or who so regard themselves without being formally married, should be recorded as married. Thus in the main, the answer must be accepted as given by the respondent and the legal aspect of the marital status should not be questioned. It is the respondents who define their marital status.</p> <p>If a person has been widowed but has since re-married, s/he should be recorded as married.</p> <p>A divorce does not have to have gone through the court or other formalities for it to be considered an actual divorce in census terms.</p> <p>Please note that "never married" is not equivalent to "single" as the latter includes those who have never married and those who have been married but are currently divorced/separated or widowed. "Never married" strictly refers to those who have never entered any marital union. In the very few cases of not known, write "9" in the column for this question. Laos 1995: All persons This variable indicates the marital status of the person. 1 Never married 2 Married 3 Divorced or separated 4 Widowed 9 Unknown Demographic Variables -- PERSON Religion <span class="h3">B. For all persons</span> <br />[Questions 1-10 were asked of all persons]</p> <p>1. Persons in the household: Who was a member of this household on September 26, 1994?</p> <div class="i1">List the name and surname of all persons who were members of the household on September 26, 1994, whether they were present or absent. <br /><br />Enter the person who was heading the household as person number one.<br /><br />Name and surname ____</div><span class="em">[Note:]</span> It is very important that all persons who were members of the household on March 1, 1995 are listed.</p> <p>If there are more than 10 members in the household, use additional questionnaire(s). When this is necessary, tick the box in the bottom right corner and change the person number (1, 2, 3 ... in column a in the questionnaire) to 11, 12, 13 ... in the second questionnaire, 21, 22, 23 ... in the third questionnaire, etc.</p> <p>Regarding the routines for collective households, see the enumerator's manual.</p> <p>10. What is [the respondent's] religion?</p> <div class="i1">Enter code from code list:<br /><br />[] 1 Buddhist<br />[] 2 Animist<br />[] 3 Christian<br />[] 4 Muslim<br />[] 5 Others</div> <span class="em">Section B: For all persons</span></p> <p><span class="em">Question 10: What is [the respondent's] religion?</span> <br />Enter relevant code from code list. The categories are:</p> <div class="i1">[] 1. Buddhism<br />[] 2. Animism<br />[] 3. Christianity<br />[] 4. Islam<br />[] 5. Other</div><p>The list of religion codes is also shown at the back of each questionnaire. For not known <br />use code "9".</p> <p>Note that all members of the same household might not have the same religion. If a respondent gives a branch of religion that you do not recognise, probe to find out to which main religion (of alternatives 1-4 above) the branch belongs.</p> <p>If a person's answer is "no religion", enter code "5 - Other". Laos 1995: All persons This variable indicates the religion of the person. 1 Buddhist 2 Animist 3 Christian 4 Muslim 5 Others 9 Unknown Ethnicity and Language Variables -- PERSON Read and write Lao <span class="h3">C. For persons aged 6 years and above</span> <br />[Questions 11-13 were asked of persons aged 6 years and above]</p> <p>11. Can [the respondent] read and write Lao?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">Section C: For persons aged 6 years and above</span> <br />Section C deals with education questions. These questions shall be asked to all who is 6 years and above. For small children, less than 6 years, section C, D and E should be marked "N/A".</p> <p><span class="em">Question 11: Can [the respondent] read and write in Lao language?</span> <br />The purpose of this question is to measure the literacy rate.</p> <p>For a person to be considered literate (able to read and write) he/she must at least be able to read a newspaper or a bill-board and also at least be able to write a simple letter in official Lao. Note that both conditions (read and write) must be fulfilled for a positive response to be entered and also that the question refers to Lao official language. <br />Circle the appropriate answer. For not known, enter "9". Laos 1995: Persons age 6+ [discrepancies: none] This variable indicates whether the person can read and write Lao. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Attended school <span class="h3">C. For persons aged 6 years and above</span> <br />[Questions 11-13 were asked of persons aged 6 years and above]</p> <p>12. Has [the respondent] ever attended school?</p> <div class="i1">[] 1 Never been (skip to question 14)<br />[] 2 At school<br />[] 3 Left school</div> <span class="em">Section C: For persons aged 6 years and above</span> <br />Section C deals with education questions. These questions shall be asked to all who is 6 years and above. For small children, less than 6 years, section C, D and E should be marked "N/A".</p> <p><span class="em">Question 12: Has [the respondent] ever attended school?</span> <br />The purpose of this question is to establish the degree of school enrolment.</p> <div class="i1">"School" refers to participation in full-time education in an institution like primary and secondary schools, university, etc.<br /><br />The category "never been" includes those who have not attended school at all.<br /><br />"At school" refers to all persons who are attending formal educational institutions and include those who are temporarily absent from school or those on holiday.<br /><br />"Left school" refers to those who once attended formal school but have left or completed their cycle and are no longer attending.<br /><br />Circle the appropriate answer. For not known, enter "9".</div> Laos 1995: Persons age 6+ [discrepancies: none] This variable indicates whether the person has ever attended school. 1 No, never been 2 Yes, at school 3 Yes, left school 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest education <span class="h3">C. For persons aged 6 years and above</span> <br />[Questions 11-13 were asked of persons aged 6 years and above]</p> <p>13. What is [the respondent's] highest level of education completed?</p> <div class="i1">Enter code from code list:<br /><br />[] 00 None<br />[] 11 Primary 1<br />[] 12 Primary 2<br />[] 13 Primary 3<br />[] 14 Primary 4<br />[] 15 Primary 5<br />[] 16 Primary 6<br />[] 21 Low Sec 1<br />[] 22 Low Sec 2<br />[] 23 Low Sec 3<br />[] 24 Low Sec 4<br />[] 31 Upper Sec 1<br />[] 32 Upper Sec 2<br />[] 33 Upper Sec 3<br /><br />Vocational education<br />[] 41 First level<br />[] 42 Middle level<br />[] 43 High level/university<br /><br />[] 44 Post graduate level<br />[] 45 Others</div> <span class="em">Section C: For persons aged 6 years and above</span> <br />Section C deals with education questions. These questions shall be asked to all who is 6 years and above. For small children, less than 6 years, section C, D and E should be marked "N/A".</p> <p><span class="em">Question 13: What is [the respondent's] highest level of education completed?</span> <br />The purpose of this question is to establish the respondent's highest level of education completed. Make sure that all respondents understand that the question refers to completed education.</p> <p>Enter code from code list. A list of the codes for highest level of education completed is shown in Appendix 3. The list of codes is also shown at the back of each questionnaire. For not known use code "99".</p> <p>Check with question 4 for consistency, particularly for children. Probe, if discrepancies between the answers are found. Laos 1995: Persons age 6+ [discrepancies: type I none; type II trace] This variable indicates the highest level of education. 00 None 11 Primary 1 12 Primary 2 13 Primary 3 14 Primary 4 15 Primary 5 16 Primary 6 21 Lower secondary 1 22 Lower secondary 2 23 Lower secondary 3 24 Lower secondary 4 31 Upper secondary 1 32 Upper secondary 2 33 Upper secondary 3 41 Vocation education first level 42 Vocation education middle level 43 Vocation education high level or university 44 Post graduate level 45 Others 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Main activity in the last 12 months <span class="h3">D. For persons aged 10 years and above</span> <br />[Questions 14-16 were asked of persons aged 10 years and above]</p> <p>14.What was [the respondent's] main activity the last 12 months?</p> <div class="i1">Enter code from code list:<br /><br />[] 01 Paid employee (Government)<br />[] 02 Paid employee (Parastatal)<br />[] 03 Paid employee (Private)<br />[] 04 Paid employee (State enterprise)<br />[] 05 Employer<br />[] 06 Own account worker<br />[] 07 Unpaid family worker<br />[] 08 Looking for work/unemployed<br />[] 09 Student<br />[] 10 Household duties<br />[] 11 Retired/sick/too old<br />[] 12 Other</div> <span class="h3">Section D: For persons aged 10 years and above</span> <br />Section D deals with employment questions. These questions shall be asked to all who is 10 years and above. For children, less than 10 years, section D and E should be marked "N/A".</p> <p>Three different questions are asked to collect labour market information. The questions are interrelated and the purpose of each question must be clearly understood. Explain to the respondent that you will start by asking information on his/her employment status, then his/her profession and lastly about the sector s/he was working in.</p> <p><span class="em">Question 14: What was [the respondent's] main activity the last twelve months?</span> <br />The purpose of this question is to collect information on whether s/he was working or not, studying, retired, etc.</p> <p>Enter code from code list You may need to probe to reassure that the respondent understands the concept of economic activity.</p> <p>The response categories are:</p> <div class="i1">01 Paid employee (Government)</div><div class="i2">Here is included those who work for and are paid from the government {not state enterprise or joint enterprise).</div><div class="i1">02 Paid employee (State Enterprise)</div><div class="i2">Here is included those who work for and are paid from state enterprises {not government or joint venture).</div><div class="i1">03 Paid employee (Private)</div><div class="i2">Paid employee includes those who work for a private employer and are paid either wages, salary, commission, tips, contract or in kind by the employer. Paid family workers are also to be included here.</div><div class="i1">04 Paid employee (Joint venture)</div><div class="i2">Here is included those who work for and are paid from joint venture enterprises (partly government, partly private).</div><div class="i1">05 Employer</div><div class="i2">A person who operates his or her own economic enterprise or engages independently in a profession or trade, and hires one or more employees.</div><div class="i1">06 Own account worker</div><div class="i2">Own account workers are those who operate their own enterprise, e.g. farmer, petty trader, carpenter without paid employees and work for own consumption or profit.</div><div class="i1">07 Unpaid family worker</div><div class="i2">Unpaid family workers refer to those members of the household who worked in the enterprise operated by the household without pay or profit.</div><div class="i1">08 Looking for work/unemployed</div><div class="i2">These are persons who were ether without a job or were available for work or were seeking work.</div><div class="i1">09 Student</div><div class="i2">A person who attends a regular formal educational institution, public or private. S/he should be full-time or part-time student not usually engaged in an economic activity.</div><div class="i1">10 Homemaker</div><div class="i2">Homemaker is a person of either gender involved in household chores in their own households and who do not work for pay or for profit. If the person worked in the household business, s/he should be recorded as self employed or unpaid family worker. Domestic workers engaged for pay should not be included in this category but under paid employee.</div><div class="i1">11 Retired person /sick/too old</div><div class="i2">A retired person is one who reports that for most of the last twelve months s/he was not engaged in any economic activity because s/he had retired either due to age, sickness or voluntarily</div><div class="i1">12 Others</div><div class="i2">Prisoners are one of the categories to be included here. For rare cases of "not known", enter "99".</div> Laos 1995: Persons age 10+ [discrepancies: none] This variable indicates the main activity of the person in the last 12 months. 01 Paid employee (government) 02 Paid employee (parastatal) 03 Paid employee (private) 04 Paid employee (state enterprise) 05 Employer 06 Own account worker 07 Unpaid family worker 08 Looking for work, unemployed 09 Student 10 Household duties 11 Retired, sick, or too old 12 Other 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Main occupation in the last 12 months (1-digit) <span class="h3">D. For persons aged 10 years and above</span> <br />[Questions 14-16 were asked of persons aged 10 years and above]</p> <p>[Answer questions 15-16 for codes 01-07 in question 14]</p> <p>15.What was [the respondent's] main occupation during the last 12 months?</p> <div class="i1">Describe occupation (see Enumerator's Manual) ____</div> <span class="h3">Section D: For persons aged 10 years and above</span> <br />Section D deals with employment questions. These questions shall be asked to all who is 10 years and above. For children, less than 10 years, section D and E should be marked "N/A".</p> <p>Three different questions are asked to collect labour market information. The questions are interrelated and the purpose of each question must be clearly understood. Explain to the respondent that you will start by asking information on his/her employment status, then his/her profession and lastly about the sector s/he was working in.</p> <p><span class="em">Question 15: What was [the respondent's] main occupation during the last twelve months?</span> <br />The purpose of this question is to collect information on the occupation of the respondent. <br />This question is put to persons coded 01 to 07 in question 14, i.e. paid employees, employers, own account workers and unpaid family workers. Record "N/A" for all others.</p> <p>Occupation refers to the type of work, trade or profession performed by an individual during the last 12 months, irrespective of the industry or status in employment of the individual. Where multiple occupations are common, the main or usual occupation should be determined. This is done by determining the duration of work in each occupation during the last 12 months.</p> <p>For persons with more than one occupation at the same time, record the persons main occupation - where s/he spends most of the time.</p> <p>Write a short description of the type of work the person performed for most of the last twelve months preceding the census night. The type of work should be recorded as fully as possible, e.g. grocery retailed seller, wood carpenter, key punch operator, motor vehicle</p> <p><span class="pg">p.24</span></p> <p>mechanic panel beating foreman etc. Avoid unclear descriptions as operator, foreman etc. If the occupation in very rare cases is not known, write "999". Laos 1995: Employed persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the main occupation of the person in the last 12 months (1-digit). 00 Armed forces 01 Legislators, senior officials, and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers, shop and market sales workers 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Main occupation in the last 12 months (2-digit) <span class="h3">D. For persons aged 10 years and above</span> <br />[Questions 14-16 were asked of persons aged 10 years and above]</p> <p>[Answer questions 15-16 for codes 01-07 in question 14]</p> <p>15.What was [the respondent's] main occupation during the last 12 months?</p> <div class="i1">Describe occupation (see Enumerator's Manual) ____</div> <span class="h3">Section D: For persons aged 10 years and above</span> <br />Section D deals with employment questions. These questions shall be asked to all who is 10 years and above. For children, less than 10 years, section D and E should be marked "N/A".</p> <p>Three different questions are asked to collect labour market information. The questions are interrelated and the purpose of each question must be clearly understood. Explain to the respondent that you will start by asking information on his/her employment status, then his/her profession and lastly about the sector s/he was working in.</p> <p><span class="em">Question 15: What was [the respondent's] main occupation during the last twelve months?</span> <br />The purpose of this question is to collect information on the occupation of the respondent. <br />This question is put to persons coded 01 to 07 in question 14, i.e. paid employees, employers, own account workers and unpaid family workers. Record "N/A" for all others.</p> <p>Occupation refers to the type of work, trade or profession performed by an individual during the last 12 months, irrespective of the industry or status in employment of the individual. Where multiple occupations are common, the main or usual occupation should be determined. This is done by determining the duration of work in each occupation during the last 12 months.</p> <p>For persons with more than one occupation at the same time, record the persons main occupation - where s/he spends most of the time.</p> <p>Write a short description of the type of work the person performed for most of the last twelve months preceding the census night. The type of work should be recorded as fully as possible, e.g. grocery retailed seller, wood carpenter, key punch operator, motor vehicle</p> <p><span class="pg">p.24</span></p> <p>mechanic panel beating foreman etc. Avoid unclear descriptions as operator, foreman etc. If the occupation in very rare cases is not known, write "999". Laos 1995: Employed persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the main occupation of the person in the last 12 months (2-digit). 00 Armed forces 11 Legislators and senior officials 12 Corporate managers 13 General managers 21 Physical, mathmatical and engineering science professionals 22 Life science and health professionals 23 Teaching professionals 24 Other professionals 31 Physical and engineering science associate professionals 32 Life science and health associate professionals 33 Teaching associate professionals 34 Other associate professionals 41 Office clerks 42 Customer services clerks 51 Personal and protective services workers 52 Models, salespersons and demonstrators 61 Market-oriented skilled agricultural and fishery workers 62 Subsistence agricultural and fishery workers 71 Extraction and building trades workers 72 Metal, machinery and related trades workers 73 Precision, handicraft, printing and related trades workers 74 Other craft and related trades workers 80 Stationary-plant and related operators, machine operators and assemblers 83 Drivers and mobile-plant operators 91 Sales and services elementary occupations 92 Agricultural, fishery and related labourers 93 Labourers in mining construction, manufacturing and transport 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Main occupation in the last 12 months (3-digit) <span class="h3">D. For persons aged 10 years and above</span> <br />[Questions 14-16 were asked of persons aged 10 years and above]</p> <p>[Answer questions 15-16 for codes 01-07 in question 14]</p> <p>15.What was [the respondent's] main occupation during the last 12 months?</p> <div class="i1">Describe occupation (see Enumerator's Manual) ____</div> <span class="h3">Section D: For persons aged 10 years and above</span> <br />Section D deals with employment questions. These questions shall be asked to all who is 10 years and above. For children, less than 10 years, section D and E should be marked "N/A".</p> <p>Three different questions are asked to collect labour market information. The questions are interrelated and the purpose of each question must be clearly understood. Explain to the respondent that you will start by asking information on his/her employment status, then his/her profession and lastly about the sector s/he was working in.</p> <p><span class="em">Question 15: What was [the respondent's] main occupation during the last twelve months?</span> <br />The purpose of this question is to collect information on the occupation of the respondent. <br />This question is put to persons coded 01 to 07 in question 14, i.e. paid employees, employers, own account workers and unpaid family workers. Record "N/A" for all others.</p> <p>Occupation refers to the type of work, trade or profession performed by an individual during the last 12 months, irrespective of the industry or status in employment of the individual. Where multiple occupations are common, the main or usual occupation should be determined. This is done by determining the duration of work in each occupation during the last 12 months.</p> <p>For persons with more than one occupation at the same time, record the persons main occupation - where s/he spends most of the time.</p> <p>Write a short description of the type of work the person performed for most of the last twelve months preceding the census night. The type of work should be recorded as fully as possible, e.g. grocery retailed seller, wood carpenter, key punch operator, motor vehicle</p> <p><span class="pg">p.24</span></p> <p>mechanic panel beating foreman etc. Avoid unclear descriptions as operator, foreman etc. If the occupation in very rare cases is not known, write "999". Laos 1995: Employed persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the main occupation of the person in the last 12 months (3-digit). 000 Armed forces 114 Senior officials of special-interest organisations 115 Heads of villages 119 Other legislators and senior officials 121 Directors and chief executives 123 Other department managers 131 General managers 212 Mathematicians, statisticians and related professionals 214 Architects, engineers and related professionals 219 Other physical, mathmatical and engineering science professionals 221 Life science professionals 222 Health professionals, nursing and midwifery professionals 231 Higher education teaching professionals 232 Secondary education teachers 235 Other teaching professionals 241 Business professionals 242 Legal professionals 244 Social science and related professionals 249 Other professionals 311 Physical and engineering science technicians 313 Optical and electronic equipment operators 319 Other physical and engineering science associate professionals 322 Health associate professionals 323 Nursing and midwifery associate professionals 329 Other life science and health associate professionals 331 Primary education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 346 Social work associate professionals 349 Other associate professionals 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 420 Customer services clerks 512 Housekeeping and restaurant workers 514 Other personal services workers 516 Protective services workers 522 Shop salespersons and demonstrators 523 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 and fishery workers 622 Slash and burn farmers 712 Building frame and related trades workers 713 Building finishers and related trades workers 719 Other extraction and building trades workers 721 Metal moulders, welders and related workers 722 Blacksmiths, tool-makers and related workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics 731 Precision workers in metal and related materials 732 Potters, glass-makers and related workers 739 Handicraft workers in wood,textile, leather and related materials, printing and related trades workers 741 Food processing and related workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 810 Stationary-plant and related operators, machine operators and assemblers, not specified 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 827 Food and related products machine operators 830 Drivers and mobile-plant operators 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 915 Messengers, porters, doorkeepers and related workers 919 Other sales and services elementary occupations 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Main industry in the last 12 months (major classification) <span class="h3">D. For persons aged 10 years and above</span> <br />[Questions 14-16 were asked of persons aged 10 years and above]</p> <p>[Answer questions 15-16 for codes 01-07 in question 14]</p> <p>16. In what industrial sector was [the respondent] mainly working during the last twelve months? </p> <div class="i1">Describe industrial sector (see Enumerator manual) ____</div> <span class="h3">Section D: For persons aged 10 years and above</span> <br />Section D deals with employment questions. These questions shall be asked to all who is 10 years and above. For children, less than 10 years, section D and E should be marked "N/A".</p> <p>Three different questions are asked to collect labour market information. The questions are interrelated and the purpose of each question must be clearly understood. Explain to the respondent that you will start by asking information on his/her employment status, then his/her profession and lastly about the sector s/he was working in.</p> <p><span class="em">Question 16: In which industrial sector was [the respondent] mainly working during the last twelve months?</span> <br />The purpose of this question is to collect information on the industrial sector the respondent was working in.</p> <p>This question is put to persons coded 01 to 07 in question 14, i.e. paid employees, employers, own account workers and unpaid family workers. Record "N/A" for all others.</p> <p>Industrial sector refers to the activity performed, that is what is made or done at the work place (by the establishment) where the person mainly worked during the last 12 months, irrespective of the occupation of the person. Where a company has multiple activities (makes or does many things), the main activity should be determined. This is done by determining the activity which occupies most persons at that workplace.</p> <p>For persons working at more than one place during this period, record the industrial sector where s/he spends most of the time.</p> <p>Write a short description of what is made or done at the workplace where the person worked for most of the last twelve months preceding the census night. The activity should be recorded as fully as possible, e.g. primary school teaching, retail trade of clothes, motor car repair, rice growing. Avoid unclear descriptions as teaching, trading etc. If the industrial sector in very rare cases is not known, write "99". Laos 1995: Employed persons age 10+ [discrepancies: none] This variable indicates the main industry of the person in the last 12 months (major classification). 01 Agriculture hunting and forestry 02 Fishing 03 Mining and quarring 04 Manufacturing 05 Electricity, gas and water supply 06 Construction 07 Wholesale and retail, repair of motor vehicles ect. 08 Hotels and restaurants 09 Transport, storage and communications 10 Financial intermediation 11 Real estate, renting and business activities 12 Public administration and defence 13 Education 14 Health and social work 15 Other community, social and personal service activities 16 Private households with employed persons 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Main industry in the last 12 months (2-digit) <span class="h3">D. For persons aged 10 years and above</span> <br />[Questions 14-16 were asked of persons aged 10 years and above]</p> <p>[Answer questions 15-16 for codes 01-07 in question 14]</p> <p>16. In what industrial sector was [the respondent] mainly working during the last twelve months? </p> <div class="i1">Describe industrial sector (see Enumerator manual) ____</div> <span class="h3">Section D: For persons aged 10 years and above</span> <br />Section D deals with employment questions. These questions shall be asked to all who is 10 years and above. For children, less than 10 years, section D and E should be marked "N/A".</p> <p>Three different questions are asked to collect labour market information. The questions are interrelated and the purpose of each question must be clearly understood. Explain to the respondent that you will start by asking information on his/her employment status, then his/her profession and lastly about the sector s/he was working in.</p> <p><span class="em">Question 16: In which industrial sector was [the respondent] mainly working during the last twelve months?</span> <br />The purpose of this question is to collect information on the industrial sector the respondent was working in.</p> <p>This question is put to persons coded 01 to 07 in question 14, i.e. paid employees, employers, own account workers and unpaid family workers. Record "N/A" for all others.</p> <p>Industrial sector refers to the activity performed, that is what is made or done at the work place (by the establishment) where the person mainly worked during the last 12 months, irrespective of the occupation of the person. Where a company has multiple activities (makes or does many things), the main activity should be determined. This is done by determining the activity which occupies most persons at that workplace.</p> <p>For persons working at more than one place during this period, record the industrial sector where s/he spends most of the time.</p> <p>Write a short description of what is made or done at the workplace where the person worked for most of the last twelve months preceding the census night. The activity should be recorded as fully as possible, e.g. primary school teaching, retail trade of clothes, motor car repair, rice growing. Avoid unclear descriptions as teaching, trading etc. If the industrial sector in very rare cases is not known, write "99". Laos 1995: Employed persons age 10+ [discrepancies: none] This variable indicates the main industry of the person in the last 12 months (2-digit). 01 Agriculture, hunting and related activities 02 Forestry, logging and related activities 05 Fishing, operation of fish hatcheries and fish farms 10 Mining of coal and lignite, extraction of peat 11 Extraction of crude petroleum and natural gas 14 Other mining and quarrying 15 Manufacture of food products and beverages 16 Manufacture of tobacco products 17 Manufacture of textiles 18 Manufacture of wearing apparel 20 Manufacture of wood (except furniture) 22 Publishing, printing 24 Manufacture of chemicals and chemical products 25 Manufacture of rubber and plastic products 26 Manufacture of other non-metallic products 28 Manufacture of fabricated metal products 36 Manufacture of furniture 39 Other manufacturing 40 Electricity, gas, steam and hot water supply 41 Collection, purification and distribution of water 45 Construction 50 Sales and repair of motor vehicles, automotive fuel 51 Other wholesale trade 52 Retail trade, except motor vehicles 55 Hotels and restaurants 60 Land transport 61 Water transport 62 Air transport 63 Travel agencies 64 Post and telecommunications 69 Financial intermediation 73 Research and development 74 Other real estate, renting and business services 75 Public administration and defence 80 Education 85 Health and social work 92 Recreational, cultural and sporting activities 93 Other service activities 95 Private households with employed persons 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Have given a live birth <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">Have you (or the respondent) given any live birth?</span><br />If the answer is "no", circle code 2 in column 'r' and enter "N/A" in the rest of the section to show that it is not applicable.<br /><br />If the answer is "yes", circle code 1 and complete the other three parts of the questions.<br /><br />It should be noted again that the children referred to in question 17 are the respondent's own children in the biological sense and not foster children, e. g. children of the husband by another woman or children of another relative.</div> Laos 1995: Females age 15-49 [discrepancies: none] This variable indicates whether the person has ever given live births. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children born alive and present at home on census night <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div><div class="i2">Were with you on census night?</div><div class="i3">____ Male<br />____ Female</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">How many children born alive to you (or the respondent) were with you (or her) on the census night?</span><br />Record the number (incl. "0") of males and females.</div> Laos 1995: Females age 15-49 who have given a live birth [discrepancies: type I trace; type II trace] This variable indicates the number of male children born alive and present on census night. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children born alive and present at home on census night <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div><div class="i2">Were with you on census night?</div><div class="i3">____ Male<br />____ Female</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">How many children born alive to you (or the respondent) were with you (or her) on the census night?</span><br />Record the number (incl. "0") of males and females.</div> Laos 1995: Females age 15-49 who have given a live birth [discrepancies: type I trace; type II trace] This variable indicates the number of female children born alive and present on census night. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children born alive and elsewhere on census night <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div><div class="i2">Were elsewhere on census night?</div><div class="i3">____ Male<br />____ Female</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">How many children born alive to you (or the respondent) were elsewhere on the census night?</span><br />Record the number (incl. "0") of males and females. These are children still alive but who were not at home on census night, e.g. they may be staying with some relative, be at a boarding school, have been given up for adoption or are grown-up children who have left the household.<br /><br />Further probing may be necessary as all these children are to be entered whether they are members of the household or not.</div> Laos 1995: Females age 15-49 who have given a live birth [discrepancies: type I trace; type II trace] This variable indicates the number of male children born alive and elsewhere on census night. 00 0 01 1 02 2 03 3 04 4 05 5+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children born alive and elsewhere on census night <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div><div class="i2">Were elsewhere on census night?</div><div class="i3">____ Male<br />____ Female</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">How many children born alive to you (or the respondent) were elsewhere on the census night?</span><br />Record the number (incl. "0") of males and females. These are children still alive but who were not at home on census night, e.g. they may be staying with some relative, be at a boarding school, have been given up for adoption or are grown-up children who have left the household.<br /><br />Further probing may be necessary as all these children are to be entered whether they are members of the household or not.</div> Laos 1995: Females age 15-49 who have given a live birth [discrepancies: type I trace; type II trace] This variable indicates the number of female children born alive and elsewhere on census night. 00 0 01 1 02 2 03 3 04 4 05 5+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children born alive but who died <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div><div class="i2">Have died?</div><div class="i3">____ Male<br />____ Female</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">How many children born alive to you (or the respondent) have died?</span><br />Make the appropriate entries under columns for males and females.<br /><br />This information is extremely important and it is difficult to obtain accurate data, because some respondents may fail to mention children who died very young or a long time ago. Probe by asking "Any male or female child who was born alive but only survived a few days or hours?"<br /><br />Many respondents will be reluctant to talk about child deaths and become sad or upset that you are asking such questions. Be very tactful in such situations. Explain that you know the subject is painful but that the information is very important for calculation of death rates (mortality).</div> Laos 1995: Females age 15-49 who have given a live birth [discrepancies: type I trace; type II trace] This variable indicates the number of male children born alive but died. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children born alive but who died <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>17. Have you given any live birth?</p> <div class="i1">If no: Enter N/A and continue with next woman<br />If yes: How many children born alive to you?<br /><br />[] 1 Yes</div><div class="i2">Have died?</div><div class="i3">____ Male<br />____ Female</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 17: Children ever born</span> <br />Identify all eligible women using the age of the woman. Check with question 2 for consistency; the number of children in question 2 must be equal or higher than the number in question 17 (the higher number in question 2 accepted because foster children also are eligible in that question).</p> <p><span class="pg">p.25</span></p> <p>There are four parts to this question and the order of asking them is as follows:</p> <div class="i1"><span class="em">How many children born alive to you (or the respondent) have died?</span><br />Make the appropriate entries under columns for males and females.<br /><br />This information is extremely important and it is difficult to obtain accurate data, because some respondents may fail to mention children who died very young or a long time ago. Probe by asking "Any male or female child who was born alive but only survived a few days or hours?"<br /><br />Many respondents will be reluctant to talk about child deaths and become sad or upset that you are asking such questions. Be very tactful in such situations. Explain that you know the subject is painful but that the information is very important for calculation of death rates (mortality).</div> Laos 1995: Females age 15-49 who have given a live birth [discrepancies: type I trace; type II trace] This variable indicates the number of female children born alive but died. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Age when you had your first live birth <span class="h3">E. For women, aged 15 to 49 years</span> <br />[Questions 17-18 were asked of women aged 15 to 49]</p> <p>18. How old were you when you had your first live birth?</p> <div class="i1">Age in completed years ____<br /><br />Write:</div><div class="i2">- Actual age at first live birth for women 15 - 49 years<br />- "99" for not known</div> <span class="h3">Section E: For women aged 15 - 49 years</span> <br />The purpose of questions 17 and 18 is to collect information for estimating fertility and infant and child mortality, preferably directly from the woman concerned.</p> <p>Information on live births (fertility) should be obtained for all women aged 15 to 49 years. For all others, i.e. for women less than 15 years and those more than 49 years and all males, "N/A" should be recorded.</p> <p>Information should be requested of all women 15-49 years, irrespective of their marital status or whether you think they have borne children or not. Efforts should be made to get responses from the women themselves and permission to do so should be obtained from the head of household. If the woman concerned is not present, someone else - preferably the head of household - should be used to answer the questions.</p> <p><span class="ital">Definition of live birth</span> <br />A child born alive is one who cries after being born. Thus, a live birth is a birth which results in a child that shows any sign of life irrespective of the time of period within which these signs are manifest.</p> <p><span class="em">Question 18: How old were you/name when you/she had your/her first live birth?</span> <br />The question refers to the age of the mother at the time of the first live birth {not first pregnancy), and to be recorded in completed years:</p> <p>actual age in completed years</p> <p>"99" for not known (very limited cases)</p> <p><span class="pg">p.26</span></p> <p>Check the consistency with question 4 and 17. Laos 1995: Females age 15-49 who have given a live birth [discrepancies: none] This variable indicates the age when the first live birth was given. 14 14 years old or younger 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+ years old 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Person weight Laos 1995: All persons This variable indicates the person weight. 10 10 Technical Person Variables -- PERSON